cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3840976
title: SPEC CPU 2017 Benchmark Suite Results for the HPE ProLiant DL385 Gen10 server

description: Benchmark results for the SPEC CPU 2017 benchmark suite with the full power and temperature data. Data is collected on a state-of-the-art HPE ProLiant DL385 Gen10 server. Results contain two full runs of the SPEC CPU 2017 benchmark suite. One result set of all four benchmark suites with compiler optimizations matching official results and a second set with moderate, real-world, compiler settings.
DOI: 10.5281/zenodo.3924495
title: Overcoming information reduced data and experimentally uncertain parameters in ptychography with regularized optimization

description: These are the datasets used for the publication https://arxiv.org/abs/2005.01530. The bin files are the actual data, and the other files are the configuration files used to generate the datasets. In more detail, the Forward_Params*.cnf files were used in combination with FDES (https://doi.org/10.1016/j.ultramic.2015.07.005) to generate diffraction patterns. The Reconstruction_Params*.cnf files were used with the code outlined in the main publication to generate the simulated results. The Simulation*.bin files are the raw simulated CBEDs, stored in a binary format. The eCount portion of the filename corresponds to the Poissonian statistics applied to simulate real data. The ground truth file is upsampled, with larger diffraction pattern sizes, while the eCountInf has infinite dose, and therefore no noise. If you want more information, please contact the corresponding author of the publication, at vandenbroek@physik.hu-berlin.de.
description: Deutsche Forschungsgemeinschaft (BR 5095/2-1, CRC 951)
DOI: 10.5281/zenodo.3924494
title: Overcoming information reduced data and experimentally uncertain parameters in ptychography with regularized optimization

description: These are the datasets used for the publication https://arxiv.org/abs/2005.01530. The bin files are the actual data, and the other files are the configuration files used to generate the datasets. In more detail, the Forward_Params*.cnf files were used in combination with FDES (https://doi.org/10.1016/j.ultramic.2015.07.005) to generate diffraction patterns. The Reconstruction_Params*.cnf files were used with the code outlined in the main publication to generate the simulated results. The Simulation*.bin files are the raw simulated CBEDs, stored in a binary format. The eCount portion of the filename corresponds to the Poissonian statistics applied to simulate real data. The ground truth file is upsampled, with larger diffraction pattern sizes, while the eCountInf has infinite dose, and therefore no noise. If you want more information, please contact the corresponding author of the publication, at vandenbroek@physik.hu-berlin.de.
description: Deutsche Forschungsgemeinschaft (BR 5095/2-1, CRC 951)
DOI: 10.5519/qd.24c19s4p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1715 records)
DOI: 10.15161/oar.it/30539
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5519/qd.bvbblle7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1179 records)
DOI: 10.5281/zenodo.3934324
title: Level 2 spectra of the global solar irradiance in the wavelength range 290 - 500 nm measured at Aosta - Saint Christophe, Italy by the Bentham DTMc300 with serial number 5541 in 2006 - 2019

description: The provided dataset includes the Level 2 <strong>spectral measurements</strong> (in Watt/m<sup>2</sup>/nm) of the solar irradiance in the range 290 - 500 nm, performed by the Bentham DTMc300 spectroradiometer with serial number 5541. The particular instrument performs automated continuous, high quality measurements at Aosta - Saint Christophe, Italy (45.7° N, 7.4° E, 570 m a.s.l.) since 2006. The Level 2 spectra are re-evaluated and homogenized and are currently available for the period 24 July 2006 - 8 July 2019. Each file contains the spectra for one day. The time (in UTC) for the measurements at 290, 400, and 500 nm is also provided for each spectral scan so that the user has also information for the duration of each scan. The daily <strong>noon UV index</strong> is also provided for the same period in the file "<strong>aao_noon_uvi_l2.dat</strong>". Erythemal doses have been calculated by weighting each spectrum with the CIE (1999) effective spectrum, and then integrating in the range 290 - 400 nm. Then the UV index has been calculated by dividing erythemal dose (in mWatt/m<sup>2</sup>) by 25. The noon UV index for each day has been calculated as the average of available measurements for ±15 minutes around the exact local noon. For further information for file format and contents please see the <strong>readme.txt</strong> file. Reference CIE: CIE S007/E-1998 Erythema reference action spectrum and standard erythema dose, Color Research & Application, 24, 158-158, 10.1002/(sici)1520-6378(199904)24:2&lt;158::aid-col11&gt;3.0.co;2-4, 1999.
description: Information regarding the file structure and context can be found in the readme.txt file. Acknowledgement of data usage has to be decided in consultation with the PI of the station (currently Henri Diémoz: h.diemoz@arpa.vda.it).
DOI: 10.15129/30fc2577-debb-48e0-bcb2-e82206dd627d
title: Data for: "Modelling organic gel growth in three-dimensions: textural and fractal properties of resorcinol-formaldehyde gels"

description: ESI data for publication "Modelling organic gel growth in three-dimensions: textural and fractal properties of resorcinol-formaldehyde gels"
DOI: 10.7910/dvn/si6tus/zwrigy
title: Data_Repository_PART_I_SystematicReview.pdf

description: This document outlines the systematic assessment of ocean sector interactions in the peer reviewed literature, including systematic mapping, search string development, title/abstract screening, and the PRISMA diagram.
DOI: 10.5281/zenodo.3935511
title: Sample dataset TRIT (CHARIOT project)

description: A dataset with historical data (in .EXCEL files) from Trenitalia existing Dynamic Maintenance Management System (DMMS)
DOI: 10.5281/zenodo.3935510
title: Sample dataset TRIT (CHARIOT project)

description: A dataset with historical data (in .EXCEL files) from Trenitalia existing Dynamic Maintenance Management System (DMMS)
DOI: 10.25550/1-rbxj
title: James P. Simmer. Proteomics and Genetics of Enamel and Dentin

description: Inherited enamel malformations are caused by defects in genes essential for dental enamel formation and are grouped together under the collective designation of Amelogenesis Imperfecta, or AI. AI is a serious condition and may be associated with health problems in other parts of the body. AI patients are often self- conscious because of the disfiguring appearance of their teeth. They have lower self-esteem and perceive themselves as having an inferior quality of life. They avoid cold food and drinks. Some undergo extensive dental rehabilitation procedures, but the majorities simply suffer the effects of the disease. There are numerous forms of AI, each caused by defects in a different gene. In syndromic forms of AI, enamel malformations are accompanied by serious, sometimes hidden systemic problems, like blindness, kidney calcifications, immunodeficiency, or skin blistering. Isolated and syndromic forms of AI often cannot be distinguished clinically, so genetic testing that identifies the causative genetic defect would establish the diagnosis and discern whether or not other tissues or organs besides enamel are affected. Better understanding of the causes of AI provides hope for improvements in the diagnosis, assessment of prognosis, treatment, and cure of AI diseases. Some mutations cause synthesis of a protein to stop prematurely, which can potentially be treated with readthrough molecules. Other gene defects cause cell pathology related to protein misfolding rather than to a protein's loss of function. Chemical chaperones can prevent cell pathology resulting from mutations that cause secreted or membrane proteins to fold improperly. In this study we test the following three Hypotheses: 1. Whole-exome analyses can identify causal mutation(s) in kindreds with enamel defects in proven AI candidate genes, and also identify novel AI-causing genes and mutations. 2. Causality of novel gene defects identified in AI kindreds can be supported by the demonstration of enamel malformations in the corresponding knockout (KO) mice. 3. Some AI is caused by potentially reversible pathological mechanisms. To test these hypotheses we propose the following two Specific Aims: - SA 1: Identify novel genes and mutations that cause inherited enamel defects in AI kindreds. - SA 2: Determine if AI-causing premature translation termination or ER stress is reversible. Significance: Identifying the genes that cause inherited enamel defects will permit genetic testing to diagnose AI, improve assessment of the patients' prognoses, and recognize mutations that can be treated with chemical chaperones or readthrough molecules to promote normal tooth development in patients with a defective genetic background.
DOI: 10.5281/zenodo.3935612
title: Replication package for the paper accepted at Springer's EMSE Journal: Publish or Perish - But do not Forget your Software Artifacts

description: This is the replication package for the paper "Publish or Perish - But do not Forget your Software Artifacts", accepted at Springer's EMSE Journal in June 2020. It contains: A ReadMe file with instructions on how to use the replication scripts The complete, labeled dataset of 792 ICSE papers as CSV All the python scripts that we used for data-acquisition and -preparation The jupyter notebook that we used for the evaluation. This also contains some additional analyses which are not included in the paper. An html export of the notebook for quick reference A folder containing all of the diagrams in pdf form
DOI: 10.5281/zenodo.3878048
title: Replication package for the paper accepted at Springer's EMSE Journal: Publish or Perish - But do not Forget your Software Artifacts

description: This is the replication package for the paper "Publish or Perish - But do not Forget your Software Artifacts", accepted at Springer's EMSE Journal in June 2020. It contains: A ReadMe file with instructions on how to use the replication scripts The complete, labeled dataset of 792 ICSE papers as CSV All the python scripts that we used for data-acquisition and -preparation The jupyter notebook that we used for the evaluation. This also contains some additional analyses which are not included in the paper. An html export of the notebook for quick reference A folder containing all of the diagrams in pdf form
DOI: 10.6084/m9.figshare.12045243.v61
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated at least once every week; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.7910/dvn/976did/29a1gr
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DOI: 10.5281/zenodo.3932812
title: CWTS Leiden Ranking 2020

description: This data set provides the statistics made available in the 2020 edition of the CWTS Leiden Ranking. The Leiden Ranking 2020 is a bibliometric ranking of 1176 major universities worldwide. The ranking provides statistics on scientific impact, collaboration, open access publishing, and gender diversity. The ranking is based on bibliographic data from the Web of Science database produced by Clarivate Analytics.
DOI: 10.5281/zenodo.3935737
title: ZymoBIOMICS reference genomes

description: All these reference genomes were independently sequenced by Zymo Research Corporation (Irvine, CA, USA). More information about the mock communities can be found at: - ZymoBIOMICS™Microbial Community Standard (Catalog No. D6300): https://bit.ly/3gDUHC9 - ZymoBIOMICS™Microbial Community Standard II (Log Distribution) (Catalog No. D6310): https://bit.ly/2ZRjlbs
DOI: 10.5281/zenodo.3935736
title: ZymoBIOMICS reference genomes

description: All these reference genomes were independently sequenced by Zymo Research Corporation (Irvine, CA, USA). More information about the mock communities can be found at: - ZymoBIOMICS™Microbial Community Standard (Catalog No. D6300): https://bit.ly/3gDUHC9 - ZymoBIOMICS™Microbial Community Standard II (Log Distribution) (Catalog No. D6310): https://bit.ly/2ZRjlbs
DOI: 10.5287/bodleian:ozmk6p18x
title: Supporting Data - The role of Ni and Co in suppressing O-loss in Li-rich layered cathodes
DOI: 10.5281/zenodo.3935773
title: Outcomes of the LIBER Digital Humanities and Digital Cultural Heritage Working Group's survey (2019)

description: This dataset represents the questions and summarised answers of the surveyed libraries for the LIBER Digital Humanities and Digital Cultural Heritage Working Group's survey conducted between 1 February 2019 and 15 March 2019. Much care has been taken to ensure answers remain anonymous and adhere to the GDPR. Please contact Lotte Wilms or the LIBER office should you wish to adapt anything published in this overview. The report published following this survey is the following: Wilms, Lotte, Derven, Caleb, O'Dwyer, Liam, Lingstadt, Kirsty, & Verbeke, Demmy. (2019, June 17). Europe's Digital Humanities Landscape: A Study From LIBER's Digital Humanities & Digital Cultural Heritage Working Group. Zenodo. http://doi.org/10.5281/zenodo.3247286