cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3462327
title: Data for 'Indexing electron backscatter diffraction patterns with a refined template matching approach'

description: Data for 'Indexing electron backscatter diffraction patterns with a refined template matching approach' Alexander Foden, T Ben Britton<br> Department of Materials, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK For more information please contact: b.britton@imperial.ac.uk (Ben Britton) or a.foden16@imperial.ac.uk (Alex Foden) --- File contains: High resolution image for Figures 1 - 11 CSV data files for Figures 2, 3, 4, 5, 7 and 8. Figures 1 and 6 are illustrative and contain no data. EBSD data for figures 9, 10 and 11 can be found here https://zenodo.org/record/3459415#.XYym9C5KhaQ
DOI: 10.17638/datacat.liverpool.ac.uk/962
title: STM-BJ Data Under Electrochemical Control for a Pyridyl-capped Anderson-Evans Polyoxometalate

description: See README
DOI: 10.17632/4hx57xhw7y.1
title: Data for: Using an onion like neutron scattering instrument model to quickly optimize design parameters

description: McStas test case instrument file for simulation of an Onion type instrument, as well as an example for a python script to analyze the data. Read the headers of the files for specific instructions.
DOI: 10.5281/zenodo.3461760
title: Validation of experimental charge-density refinement strategies: when do we overfit?

description: A cross-validation method is supplied to judge between various strategies in multipole refinement procedures. Its application enables straightforward detection of whether the refinement of additional parameters leads to an improvement in the model or an overfitting of the given data. For all tested data sets it was possible to prove that the multipole parameters of atoms in comparable chemical environments should be constrained to be identical. In an automated approach, this method additionally delivers parameter distributions of <em>k</em> different refinements. These distributions can be used for further error diagnostics, <em>e.g.</em> to detect erroneously defined parameters or incorrectly determined reflections. Visualization tools show the variation in the parameters. These different refinements also provide rough estimates for the standard deviation of topological parameters. published in IUCrJ (2017). 4, 420–430 Raw diffraction data, integration, scaling, corrections and final refinements of structures <strong>1</strong> an <strong>2</strong> are provided.
description: {"references": ["https://doi.org/10.1080/0889311X.2019.1607845"]}
DOI: 10.5281/zenodo.3461761
title: Validation of experimental charge-density refinement strategies: when do we overfit?

description: A cross-validation method is supplied to judge between various strategies in multipole refinement procedures. Its application enables straightforward detection of whether the refinement of additional parameters leads to an improvement in the model or an overfitting of the given data. For all tested data sets it was possible to prove that the multipole parameters of atoms in comparable chemical environments should be constrained to be identical. In an automated approach, this method additionally delivers parameter distributions of <em>k</em> different refinements. These distributions can be used for further error diagnostics, <em>e.g.</em> to detect erroneously defined parameters or incorrectly determined reflections. Visualization tools show the variation in the parameters. These different refinements also provide rough estimates for the standard deviation of topological parameters. published in IUCrJ (2017). 4, 420–430 Raw diffraction data, integration, scaling, corrections and final refinements of structures <strong>1</strong> an <strong>2</strong> are provided.
description: {"references": ["https://doi.org/10.1080/0889311X.2019.1607845"]}
DOI: 10.5281/zenodo.3461727
title: Hourly data of a building located at the Campus of University of Girona. Data were collected from 2011 to 2014.

description: This dataset supplements the journal paper: "Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes". Authors: J. Massana, C. Pous et al. Journal: Energy and Buildings, 2015, vol. 130, p. 519-531. The paper is accessible in the below link: <pre>https://doi.org/10.1016/j.enbuild.2016.08.081</pre> Description: Each excel file contains hourly data of one building located at the Campus of Unviersity of Gironal. Data were collected from 2011 to 2014. Column information for the excel files: - Hora: hour of the day (0, 1... 23). - Dia: day of the month (1, 2... 31). - Mes: month (1,2... 12) - Any: year (2011... 2014). - Dia_set: day of the week (1,2... 7). - Temp: Outdoor temperature (oC). - Perfil_dia: daily profile (school day, non-school day, examination day, school-leaving examination day, August day, holiday and weekend day and, finally, Easter and Christmas holiday). - Indicador X.X: occupancy indicators, as described in the paper. - Cons: electrical consumption (kWh)
DOI: 10.5281/zenodo.3461728
title: Hourly data of a building located at the Campus of University of Girona. Data were collected from 2011 to 2014.

description: This dataset supplements the journal paper: "Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes". Authors: J. Massana, C. Pous et al. Journal: Energy and Buildings, 2015, vol. 130, p. 519-531. The paper is accessible in the below link: <pre>https://doi.org/10.1016/j.enbuild.2016.08.081</pre> Description: Each excel file contains hourly data of one building located at the Campus of Unviersity of Gironal. Data were collected from 2011 to 2014. Column information for the excel files: - Hora: hour of the day (0, 1... 23). - Dia: day of the month (1, 2... 31). - Mes: month (1,2... 12) - Any: year (2011... 2014). - Dia_set: day of the week (1,2... 7). - Temp: Outdoor temperature (oC). - Perfil_dia: daily profile (school day, non-school day, examination day, school-leaving examination day, August day, holiday and weekend day and, finally, Easter and Christmas holiday). - Indicador X.X: occupancy indicators, as described in the paper. - Cons: electrical consumption (kWh)
DOI: 10.5287/bodleian:zbvaedb5x
title: Weak beam micrographs and defect counts in neutron irradiated Fe9Cr
DOI: 10.5519/qd.dtupvjgj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18530 records)
DOI: 10.5281/zenodo.3462373
title: The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

description: Data and figures presented in the paper "The ESCAPE project: Energy-efficient scalable algorithms for weather prediction at exascale". The discussion paper is available at: https://doi.org/10.5194/gmd-2018-304
description: Figures 2-10 were created with Microsoft Excel for Mac (version 16.29.1). Final edits were made in Apple Numbers (version 6.1). The uploaded file contains the file for both software options. Figure 13 was created using metapost. The data and scripts to create the figure are also included in this dataset.
DOI: 10.5281/zenodo.3462374
title: The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

description: Data and figures presented in the paper "The ESCAPE project: Energy-efficient scalable algorithms for weather prediction at exascale". The discussion paper is available at: https://doi.org/10.5194/gmd-2018-304
description: Figures 2-10 were created with Microsoft Excel for Mac (version 16.29.1). Final edits were made in Apple Numbers (version 6.1). The uploaded file contains the file for both software options. Figure 13 was created using metapost. The data and scripts to create the figure are also included in this dataset.
DOI: 10.25592/uhhfdm.661
title: 3d-model of a plaster cast of the Kritios Boy

description: 3D-model of a plaster cast of the Kritios Boy
DOI: 10.5519/qd.517g5kcd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3443 records)
DOI: 10.5519/qd.25bybm8u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43382 records)
DOI: 10.17632/y3gshw5r26.1
title: CPEC-Tourism-WellBeing: Data on Perceptions and Opinions from Districts along CPEC Route in Gilgit-Baltistan

description: As a pilot project of the Belt and Road Initiative (BRI), China and Pakistan have signed several multi-billion projects on energy, infrastructure, and communication jointly called the China-Pakistan Economic Corridor (CPEC). Along with direct effects of these investments, some underdeveloped regions are also witnessing indirect benefits. On such region is Gilgit-Baltistan located in the extreme north of Pakistan. The region is the only entry point of the corridor and has therefore enormous importance. The tourism inflow has increased exponentially in the region in the recent years. we consider four districts of Gilgit-Baltistan namely Gilgit, Nagar, Hunza and Diamer given their alignment along the CPEC route. Objectives: In this backdrop, the present study examines the impact of CPEC on fostering tourism and ultimately its impact on economic well-being in the region.
DOI: 10.7910/dvn/zsbz7k/zruuda
title: cces18_common_vv.dta

description: Stata data file
DOI: 10.21227/vp8j-dv28
title: Dataset

description: For submission
DOI: 10.5281/zenodo.3462525
title: Unique Solid Phase Microextraction Sampler Reveals Distinctive Biogeochemical Profiles among Various Deep-Sea Hydrothermal Vents

description: Repository data for the publication named "<strong>Unique Solid Phase Microextraction Sampler Reveals Distinctive Biogeochemical Profiles among Various Deep-Sea Hydrothermal Vents"</strong>
DOI: 10.5281/zenodo.3462526
title: Unique Solid Phase Microextraction Sampler Reveals Distinctive Biogeochemical Profiles among Various Deep-Sea Hydrothermal Vents

description: Repository data for the publication named "<strong>Unique Solid Phase Microextraction Sampler Reveals Distinctive Biogeochemical Profiles among Various Deep-Sea Hydrothermal Vents"</strong>
DOI: 10.5281/zenodo.3462495
title: Purification of HTT N-HEAT_81-1643

description: The purification of huntingtin (HTT) fragments is a useful approach to learn more about the function of HTT in the cell. By obtaining soluble and monomeric samples of HTT domains namely the C-HEAT, N-HEAT and bridge domains, specific protein-protein interactions can be studied. Furthermore, domains of HTT in soluble monomeric form could enable crystallization studies. The first expression and purification of these fragments can be found on these posts https://zenodo.org/record/2600051#.XKU89aeZPOQ and https://zenodo.org/record/2628060#.XULMtnspDb0 (performed by Dr. Rachel Harding). The latest post shows the purification of construct the HTT N-HEAT_81-1643 domain which elutes from Superdex 200 10/300 GL column in the void volume. The results here presented are a follow up of that purification.
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3462496
title: Purification of HTT N-HEAT_81-1643

description: The purification of huntingtin (HTT) fragments is a useful approach to learn more about the function of HTT in the cell. By obtaining soluble and monomeric samples of HTT domains namely the C-HEAT, N-HEAT and bridge domains, specific protein-protein interactions can be studied. Furthermore, domains of HTT in soluble monomeric form could enable crystallization studies. The first expression and purification of these fragments can be found on these posts https://zenodo.org/record/2600051#.XKU89aeZPOQ and https://zenodo.org/record/2628060#.XULMtnspDb0 (performed by Dr. Rachel Harding). The latest post shows the purification of construct the HTT N-HEAT_81-1643 domain which elutes from Superdex 200 10/300 GL column in the void volume. The results here presented are a follow up of that purification.
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3462004
title: Levels of the thiocyanate in the saliva of tobacco smokers in comparison to e-cigarette smokers and nonsmokers measured by HPLC on a Phosphatidylcholine Column.

description: Suppl.1 <strong>Table </strong>Calibration data (n=8).
DOI: 10.5281/zenodo.3462005
title: Levels of the thiocyanate in the saliva of tobacco smokers in comparison to e-cigarette smokers and nonsmokers measured by HPLC on a Phosphatidylcholine Column.

description: Suppl.1 <strong>Table </strong>Calibration data (n=8).
DOI: 10.17632/rwb9ckf6tb.3
title: Data for: A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat

description: Data for the mixture experiment and the R program to perform mixing ability analysis.
DOI: 10.5287/bodleian:xqx8vnv5e
title: Calibration of arterial spin labeling data—potential pitfalls in post‐processing
DOI: 10.25386/genetics.9497666.v2
title: Supplemental Material for Marnik et al., 2019

description: Three supplemental figures.Two supplemental tables.
DOI: 10.25592/uhhfdm.662
title: 3d-model of a plaster cast of Claudius

description: 3d-model of a plaster cast of Claudius
DOI: 10.5281/zenodo.3462024
title: The Locus Algorithm Exoplanet-Search Pointings Catalogue

description: Presented here is a Catalogue of Pointings for Optimal Differential Photometry for 61,662,376 stars presented in the form of a CSV file. A total of 67,043,579 stars were analysed using the Locus Algorithm (Creaner et al, 2019), and the results of that analysis are presented here. A paper detailing this work is currently in writing. This catalogue is invisaged for use in the search for extrasolar planets by using the pointings presented here to allow for a maximum differential photometry precision and thus aid ground based searches for extrasolar planets. Instructions on how to use the data are contained in readme.md. An SQL script to identify the reference stars is also presented. Also given here are source files containing the fits and csv files generated by the grid jobs in a .zip archive.
description: Acknowledgements Funding for this work: This publication has received funding from Higher Education Authority Technological Sector Research Fund and the Institute of Technology, Tallaght, Dublin Continuation Fund (now Tallaght Campus, Technological University Dublin). SDSS Acknowledgement: This catalogue makes use of data from the Sloan Digital Sky Survey (SDSS). Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. The SDSS Web Site is http://www.sdss.org/. The SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions. The Participating Institutions are the American Museum of Natural History, Astrophysical Institute Potsdam, University of Basel, University of Cambridge, Case Western Reserve University, University of Chicago, Drexel University, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, the Joint Institute for Nuclear Astrophysics, the Kavli Institute for Particle Astrophysics and Cosmology, the Korean Scientist Group, the Chinese Academy of Sciences (LAMOST), Los Alamos National Laboratory, the Max-Planck- Institute for Astronomy (MPIA), the Max-Planck-Institute for Astrophysics (MPA), New Mexico State University, Ohio State University, University of Pittsburgh, University of Portsmouth, Princeton University, the United States Naval Observatory, and the University of Washington. This paper makes use of CFITSIO: A FITS File Subroutine Library by Pence (1999)
DOI: 10.5281/zenodo.3462025
title: The Locus Algorithm Exoplanet-Search Pointings Catalogue

description: Presented here is a Catalogue of Pointings for Optimal Differential Photometry for 61,662,376 stars presented in the form of a CSV file. A total of 67,043,579 stars were analysed using the Locus Algorithm (Creaner et al, 2019), and the results of that analysis are presented here. A paper detailing this work is currently in writing. This catalogue is invisaged for use in the search for extrasolar planets by using the pointings presented here to allow for a maximum differential photometry precision and thus aid ground based searches for extrasolar planets. Instructions on how to use the data are contained in readme.md. An SQL script to identify the reference stars is also presented. Also given here are source files containing the fits and csv files generated by the grid jobs in a .zip archive.
description: Acknowledgements Funding for this work: This publication has received funding from Higher Education Authority Technological Sector Research Fund and the Institute of Technology, Tallaght, Dublin Continuation Fund (now Tallaght Campus, Technological University Dublin). SDSS Acknowledgement: This catalogue makes use of data from the Sloan Digital Sky Survey (SDSS). Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. The SDSS Web Site is http://www.sdss.org/. The SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions. The Participating Institutions are the American Museum of Natural History, Astrophysical Institute Potsdam, University of Basel, University of Cambridge, Case Western Reserve University, University of Chicago, Drexel University, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, the Joint Institute for Nuclear Astrophysics, the Kavli Institute for Particle Astrophysics and Cosmology, the Korean Scientist Group, the Chinese Academy of Sciences (LAMOST), Los Alamos National Laboratory, the Max-Planck- Institute for Astronomy (MPIA), the Max-Planck-Institute for Astrophysics (MPA), New Mexico State University, Ohio State University, University of Pittsburgh, University of Portsmouth, Princeton University, the United States Naval Observatory, and the University of Washington. This paper makes use of CFITSIO: A FITS File Subroutine Library by Pence (1999)
DOI: 10.5281/zenodo.3462536
title: COST-ELTeC/ELTeC-fra: Initial dummy release.

description: French novel collection for the ELTeC (European Literary Text Collection)
DOI: 10.5281/zenodo.3462045
title: Query auto-completions for German politicians of the 18th Bundestag

description: <strong>bundestag.csv</strong> - UTF-8 encoded comma separated text file This dataset contains the members of the 18th German Bundestag in the constitution of late 2016. &lt;Name&gt;: name of the politician &lt;Born&gt;: birthday &lt;Party&gt;: party membership of the politician &lt;Bundesland&gt; state of the politician &lt;Gender&gt; gender of the politician &lt;Age&gt; age of the politician (as of 2017) &lt;Cluster 3&gt; number of unique auto-completions assigned to topic: "location information" &lt;Cluster 2&gt; number of unique auto-completions assigned to topic: "personal and emotional" &lt;Cluster 1&gt; number of unique auto-completions assigned to topic: "politics and economics" &lt;Total&gt; total number of unique auto-completions <strong>terms.csv </strong>- UTF-8 encoded comma separated text file This dataset contains the unordered and pooled auto-completions for the German politicians from Bing search (http://api.bing.net/osjson.aspx), from Duck-Duck-Go (https://duckduckgo.com/ac/) and from Google search (http://clients1.google.de/complete/search). The data was crawled on (mostly) two times per day from 2017/02/03 to 2017/06/19. German language settings were used for Google and Bing, English language setting was used for Duck-Duck-Go. The API requests were sent with an IP address from Cologne, Germany. &lt;source&gt;: google, bing or ddg &lt;queryterm&gt;: the query term, matches the name of the politican in the file &lt;bundestag.csv&gt; &lt;suggestterm&gt;: the suggested query auto-completion
DOI: 10.5281/zenodo.3462046
title: Query auto-completions for German politicians of the 18th Bundestag

description: <strong>bundestag.csv</strong> - UTF-8 encoded comma separated text file This dataset contains the members of the 18th German Bundestag in the constitution of late 2016. &lt;Name&gt;: name of the politician &lt;Born&gt;: birthday &lt;Party&gt;: party membership of the politician &lt;Bundesland&gt; state of the politician &lt;Gender&gt; gender of the politician &lt;Age&gt; age of the politician (as of 2017) &lt;Cluster 3&gt; number of unique auto-completions assigned to topic: "location information" &lt;Cluster 2&gt; number of unique auto-completions assigned to topic: "personal and emotional" &lt;Cluster 1&gt; number of unique auto-completions assigned to topic: "politics and economics" &lt;Total&gt; total number of unique auto-completions <strong>terms.csv </strong>- UTF-8 encoded comma separated text file This dataset contains the unordered and pooled auto-completions for the German politicians from Bing search (http://api.bing.net/osjson.aspx), from Duck-Duck-Go (https://duckduckgo.com/ac/) and from Google search (http://clients1.google.de/complete/search). The data was crawled on (mostly) two times per day from 2017/02/03 to 2017/06/19. German language settings were used for Google and Bing, English language setting was used for Duck-Duck-Go. The API requests were sent with an IP address from Cologne, Germany. &lt;source&gt;: google, bing or ddg &lt;queryterm&gt;: the query term, matches the name of the politican in the file &lt;bundestag.csv&gt; &lt;suggestterm&gt;: the suggested query auto-completion