cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7479/7a7n-e248
title: Digitalisierungsprojekt des Museums für Naturkunde Berlin: Die Dinosaurier des Sauriersaals

description: Nach der Digitalisierung der Dinosaurierknochen aus dem "Knochenkeller" des Museums (Funde aus der Grabung in der Nähe des Berges Tendaguru im heutigen Tansania) im Jahr 2015 macht sich das Projekt des MfN Berlin 2016 an die im Sauriersaal ausgestellten Dinosaurierskelette. Die Skelette sollen per Photogrammetrie digitalisiert werden und die Daten später für Wissenschaft, Forschung und die Öffentlichkeit verfügbar gemacht werden. Die hochauflösende Erfassung dieser sehr großen montierten Skelette ist nachwievor eine methodische und technische Herausforderung (räumliche Beschränkungen, Größe der einzelnen Elemente, absolute Größe). Die im Projekt angewandten Methoden sollen einfach und übertragbar sein auf andere Vorhaben.
DOI: 10.1285/i26108968n5p121
title: Nuove tecnologie e Mooc per la formazione, il lavoro e per i Neet

description: Nowadays, online education can be a new way of achieving and mastering the knowledge and skills required by the changes in today's complex society, which is characterised by increasing uncertainty, further marginalisation and social exclusion as well as inequalities in terms of income, life expectancy and employment opportunities. The present paper aims to offer food for thought on the convergence between the new online learning environments (MOOCs) and the training of the inactive population living in a condition of inequality and social exclusion. The discussion of the topic is not intended to be exhaustive but to stimulate and open a broader debate.
description: La formazione online può rappresentare un modo nuovo per il raggiungimento e la padronanza delle conoscenze e delle competenze richieste dai cambiamenti di una società complessa come quella attuale, caratterizzata dall'aumento dell'incertezza, delle situazioni di emarginazione ed esclusione sociale così come dalle disuguaglianze in termini di reddito, di prospettive di vita e di opportunità occupazionali. Il presente contributo cerca di proporre uno spunto di riflessione sulla convergenza tra i nuovi ambienti di apprendimento online (MOOCs) e la formazione di quella fascia della popolazione inattiva che vive in una condizione di disagio ed esclusione sociale. La trattazione dell'argomento non vuole essere esaustiva ma di stimolo ed apertura ad un dibattito più ampio.
DOI: 10.5281/zenodo.3888238
title: Data and Code Accompanying the Study "Developing an annotation framework for word formation processes in comparative linguistics"

description: Cite the source of the dataset as: Schweikhard, N. E. and List, J.-M. (2020): Developing an annotation framework for word formation processes in comparative linguistics. SKASE Journal of Theoretical Linguistics. 17.1: 2-26.
DOI: 10.1285/i26108968n5p141
title: Digital Storytelling e competenze imprenditoriali: analisi di buone pratiche di formazione all'imprenditorialità.

description: The paper focuses on the relationship between entrepreneurship education and digital storytelling. Recent reviews show the frequent recourse to innovative teaching and learning methods in entrepreneurship education. The contribution focuses on digital storytelling, an intersubjective device that emphasizes the social and cultural process of learning, the interaction between students and digital narrative tools. The contribution recognizes some best entrepreneurship educational practices that involve the use of narrative strategies and digital environments (digital storytelling) for learning entrepreneurial skills.
description: Il contributo si focalizza sul nesso tra educazione all'imprenditorialità e digital storytelling. Recenti revisioni registrano un frequente ricorso a metodi e tecniche di insegnamento e di apprendimento innovativi nell'educazione all'imprenditorialità. Il contributo si sofferma sul digital storytelling, dispositivo didattico intersoggettivo in cui l'apprendimento è inteso come processo sociale e culturale che prende forma dall'interazione tra i soggetti che apprendono e gli strumenti narrativi digitali utilizzati. Il contributo identifica e analizza alcune buone pratiche di formazione all'imprenditorialità che prevedono l'uso di strategie didattiche narrative e di ambienti digitali (digital storytelling) per l'apprendimento di competenze imprenditoriali.
DOI: 10.1285/i26108968n5p156
title: Colophon
DOI: 10.23650/data.c.2019.p2
title: 西藏多不杂斑岩铜矿资源储量数据集
title: Dataset of resource reserves in Duobuza porphyry copper deposit of Tibet

description: Duobuza Copper Deposit in Tibet, the first large-scale porphyry copper deposit discovered along Pangong Lake−Nujiang River metallogenic belt in recent years, is situated in Duobuza tectonic magmatic arc in the northern margin of Pangong Lake−Nujiang River suture zone. It was formed during the evolution period of archipelagic arc-basin system of Pangong Lake−Nujiang River of Early Cretaceous with metallogenic age of 120 Ma. The deposit is related to quartz diorite porphyrite and granodiorite-porphyry intrusions in the strata of Meiriqiecuo Formation of Early Cretaceous. Boasting of present measured resources of Cu and Au of 2.30 million tonnes and 92 tonnes with average grade of 0.51% and 0.2g/t respectively, Duobuza Copper Deposit ranks as one of the super large-scale deposits and one of the national strategic reserve bases of mineral resources. The dataset of resource reserves in Duobuza Porphyry Copper Deposit of Tibet is built based on the valuable data obtained in the mineral survey during 2005−2010. It contains 10 data tables, in which the grades and relevant calculated results of single-engineering industrial ore bodies and low-grade ore bodies in Duobuza Copper Deposit are mainly included. Furthermore, all detailed data related to reserve calculation are summarized and collated systematically in the dataset.
DOI: 10.5281/zenodo.3888246
title: LG-covid19-HOTP: Literature Graph of Scholarly Articles Relevant to COVID-19 Study

description: Parallel to the dataset CORD-19 of scholarly articles, we provide the literature graph LG-covid19-HOTP composed of not only articles (graph nodes) that are relevant to the study of coronavirus, but also in and out citation links (directed graph edges) to base navigation and search among the articles. The article records are related and connected, not isolated. The graph has been updated weekly since March 26, 2020. The current graph includes <strong>31,732</strong> hot-off-the-press (HOTP) articles since January 2020. It contains <strong>411,410</strong> articles and <strong>3,902,920</strong> links. The link-to-node ratio is remarkably higher than some other existing literature graphs. In addition to the dataset we provide more functionalities at lg-covid-19-hotp.cs.duke.edu such as new articles, weekly meta-data analysis in terms of publication growth over time, ranking by citation, and statistical near-neighbor embedding maps by similarity in co-citation, and similarity in co-reference. Since April 11, we have enabled a novel functionality - self-navigated surf-search over the maps. At the site we also take courtesy input of COVID-19 articles that are missing from the current collection.
description: {"references": ["Semantic Scholar Open Research Corpus. 2019. Version 2019-11-01. Retrieved from http://s2-public-api-prod.us-west-2.elasticbeanstalk.com/corpus/download/. Accessed 2019-12-06.", "Elsevier Scopus Citation Overview API. Accessed 2020-03-25.", "COVID-19 Open Research Dataset (CORD-19). 2020. Version 2020-03-20. Retrieved from https://pages.semanticscholar.org/coronavirus-research. Accessed 2020-03-26. 10.5281/zenodo.3727291", "Crossref REST API. Available at www.crossref.org. Accessed 2020-03-25."]}
DOI: 10.23650/data.c.2019.p4
title: 上扬子北缘川北地区结晶基底晶质石墨矿数据集
title: Crystalline-Basement Crystalline Graphite Deposit Dataset on the Northern Margin of the Upper Yangtze and North Sichuan

description: The basement strata outcropping on the northern margin of the upper Yangtze and North Sichuan have developed a dual-layer structure, where medium–large and extra-large graphite deposits have been found at Jianshan, Pinghe and Miaoping etc., which are located on fold basements in the upper layer. Until recently, however, a graphite deposit is found in fine-grain quartzite of the Wangjiaping Formation, Houhe Group complex of the crystalline basement in its lower part. The rock mass is about 200 m long, 6.7 m wide, 4.9 m thick on average and 5.13% in average grade. The ore combination is quartz + graphite + mica + pyrite + hematite. This discovery on the northern margin of the upper Yangtze expands the prospecting foreground in the region, provides new opportunities to prospect crystalline graphite ores therein and gives a new guarantee in resource potential to build an extra-large crystalline graphite ore base in Bazhong, Sichuan. The dataset contains: one map MapGIS, including 1 point-based file, 1 line-based file and 1 area-based file (*.wt, *.wl and *.wp)1, expressing basement structures in the area, graphite deposit distribution and sample locations; data in Excel sheets, including 2 type files *.xls, recording results from fixed carbon testing of samples and data from oxide testing.
DOI: 10.5281/zenodo.3887261
title: Dataset used in COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations

description: This dataset consists of two hdf5 files that contain pre-computed log-mel spectrograms that have been used to to train audio embedding models. The dataset is split into a training set and a validation set containing respectively 170793 and 19103 spectrogram patches with their accompanying multi-hot encoded tags from a vocabulary of 1000 tags provided by Freesound users. More details can be found in "COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations" by X. Favory, K. Drossos, T. Virtanen, and X. Serra. The code is available at this GitHub repository. License: This dataset is derived from content from the Freesound collection. All sounds are released under Creative Commons (CC) licenses from either CC0, CC-BY, CC-S+, or CC-BY-NC. We attribute authors of all the sounds used in the dataset and provide their corresponding licenses in the attributions.txt file.
DOI: 10.5281/zenodo.3887260
title: Dataset used in COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations

description: This dataset consists of two hdf5 files that contain pre-computed log-mel spectrograms that have been used to to train audio embedding models. The dataset is split into a training set and a validation set containing respectively 170793 and 19103 spectrogram patches with their accompanying multi-hot encoded tags from a vocabulary of 1000 tags provided by Freesound users. More details can be found in "COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations" by X. Favory, K. Drossos, T. Virtanen, and X. Serra. The code is available at this GitHub repository. License: This dataset is derived from content from the Freesound collection. All sounds are released under Creative Commons (CC) licenses from either CC0, CC-BY, CC-S+, or CC-BY-NC. We attribute authors of all the sounds used in the dataset and provide their corresponding licenses in the attributions.txt file.
DOI: 10.5281/zenodo.3888220
title: Hale Crater Mapping Shapefiles

description: These files have been produced in an effort to map the landforms within the ejecta to the south of Hale Crater. Included here are shapefiles outlining distinct regions within the study site and major landforms within the ejecta, as well as a HiRISE DEM. The shapefiles included here are: 1) Linear Depressions 2) Mounds 3) The outlines of Hale Crater Valley 1 (HCV 1), Hale Crater Valley 2 (HCV 2) and the Large Western Linear Depression (LWLD) 4) The outlines of the Rugged Uplands, Eastern Basin and Western Basin The HiRISE DEM covers a small section of the study site that encompasses several of the mound features, and a small linear depression. The shapefiles are projected in the Mars 2000 coordinate system, and the DEM is projected in the Equirectangular Mars Projection.
DOI: 10.5281/zenodo.3727026
title: Hale Crater Mapping Shapefiles

description: These files have been produced in an effort to map the landforms within the ejecta to the south of Hale Crater. Included here are shapefiles outlining distinct regions within the study site and major landforms within the ejecta, as well as a HiRISE DEM. The shapefiles included here are: 1) Linear Depressions 2) Mounds 3) The outlines of Hale Crater Valley 1 (HCV 1), Hale Crater Valley 2 (HCV 2) and the Large Western Linear Depression (LWLD) 4) The outlines of the Rugged Uplands, Eastern Basin and Western Basin The HiRISE DEM covers a small section of the study site that encompasses several of the mound features, and a small linear depression. The shapefiles are projected in the Mars 2000 coordinate system, and the DEM is projected in the Equirectangular Mars Projection.
DOI: 10.5281/zenodo.3888270
title: Hiding in the heterochromatin: Endogenous pararetroviruses escape elimination from the genome of sugar beet (Beta vulgaris)

description: Here we provide supplementary data for our study of endogenous pararetroviruses in the sugar beet genome (beetEPRVs). Our genome-wide screen showed the presence of three beetEPRVs families in the genome of sugar beet (<em>Beta vulgaris</em>). This dataset contains the consensus sequence for each beetEPRV family (Data S1) and the underlying multiple sequence alignments of individual, genomic beetEPRV copies (Data S2-S5). All data are provided in FASTA format. Sequence names include information on the analysed sugar beet assembly (EL10.1; genebank accession SAMN07736104; Funk <em>et al.</em>, 2018), chromosomal position (chromosome identifier; start and stop position), and sequence orientation (forward = plus; reverse = minus).
DOI: 10.5281/zenodo.3888269
title: Hiding in the heterochromatin: Endogenous pararetroviruses escape elimination from the genome of sugar beet (Beta vulgaris)

description: Here we provide supplementary data for our study of endogenous pararetroviruses in the sugar beet genome (beetEPRVs). Our genome-wide screen showed the presence of three beetEPRVs families in the genome of sugar beet (<em>Beta vulgaris</em>). This dataset contains the consensus sequence for each beetEPRV family (Data S1) and the underlying multiple sequence alignments of individual, genomic beetEPRV copies (Data S2-S5). All data are provided in FASTA format. Sequence names include information on the analysed sugar beet assembly (EL10.1; genebank accession SAMN07736104; Funk <em>et al.</em>, 2018), chromosomal position (chromosome identifier; start and stop position), and sequence orientation (forward = plus; reverse = minus).
DOI: 10.5519/qd.xe42p9y7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (101 records)
DOI: 10.17632/bwhjg65xvd.2
title: Data for: Thermodynamics, electronic structure and vibrational properties of Sn(n)[S(1-x)Se(x)](m) solid solutions for energy applications

description: This repository provides additional data to accompany the paper: "Thermodynamics, Electronic Structure, and Vibrational Properties of Sn(n)[S(1–x)Se(x)](m) Solid Solutions for Energy Applications" D. S. D. Gunn, J. M. Skelton, L. A. Burton, S. Metz and S. C. Parker Chemistry of Materials 31 (10), 3672-3685 (2019), DOI: 10.1021/acs.chemmater.9b00362 This article examines the properties of four solid-solution models: Pnma and rocksalt Sn[S,Se], Sn[S,Se](2) and Sn(2)[S,Se](3). This repository makes available a full set of data for all of the ~5,000 symmetry-unique structures across the four sets of calculations, including: * Optimised structures; * Calculated total energies and degeneracies; * Calculated bandgaps and partial density of states (PDoS) curves; * Simulated dielectric functions; and * Data from lattice-dynamics calculations on selected structures. In addition, the thermodynamically averaged pair-distribution functions, PDoS curves, dielectric functions, and structural-similarity analyses presented in the paper, calculated based on a 900 K formation temperature, are also provided. Finally, the repository also contains sample input files for the Vienna Ab initio Simulation Package (VASP) code. For details of how this data was generated, viewers are referred to the published article and supporting information. Brief details of file formats and links to further documentation are given in the included README file.
DOI: 10.5281/zenodo.3888340
title: Gene-based association analysis for neuroticism, results

description: Results of gene-based association analysis for neuroticism, using UK Biobank-based GWAS summary statistics neuro.exon.combined.all.xls - using exonic SNPs only neuro.nsyn.combined.all.xls - using nonsynonymous SNPs only neuro.intron.combined.all.xls - using intronic SNPs only neuro.combined.all.xls - using all SNPs Columns: gene - gene symbol chr - chromosome start - transcript start position stop - transcript stop position n.SKATO - number of SNPs for SKATO analysis pv.SKATO - SKATO pvalue n.PCA - number of SNPs for PCA analysis pv.PCA - PCA pvalue n.ACAT - number of SNPs for ACAT analysis pv.ACAT - ACAT pvalue combined - pvalue of a combined test
DOI: 10.5281/zenodo.3888339
title: Gene-based association analysis for neuroticism, results

description: Results of gene-based association analysis for neuroticism, using UK Biobank-based GWAS summary statistics neuro.exon.combined.all.xls - using exonic SNPs only neuro.nsyn.combined.all.xls - using nonsynonymous SNPs only neuro.intron.combined.all.xls - using intronic SNPs only neuro.combined.all.xls - using all SNPs Columns: gene - gene symbol chr - chromosome start - transcript start position stop - transcript stop position n.SKATO - number of SNPs for SKATO analysis pv.SKATO - SKATO pvalue n.PCA - number of SNPs for PCA analysis pv.PCA - PCA pvalue n.ACAT - number of SNPs for ACAT analysis pv.ACAT - ACAT pvalue combined - pvalue of a combined test
DOI: 10.5281/zenodo.1494919
title: SPACCC_POS

description: [Annotated corpus/guidelines/dataset] First version of the Part-of-Speech annotations in the Spanish Clinical Case Corpus that have been carried out by means of the Spanish Clinical Case Corpus Part-of-Speech Tagger based on FreeLing3.1 (SPACCC_POS-TAGGER, https://github.com/PlanTL/SPACCC_POS-TAGGER).
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.2204995
title: Medical-Translator

description: [PlanTL/medicine/neural machine translation/translation models] The files needed to use the Neural Machine Translation system for the Biomedical Domain. The available language directions for translation are: English to Spanish, Spanish to English, English to Portuguese, Portuguese to English, Spanish to Portuguese and Portuguese to Spanish.
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.1493455
title: SPACCC_SPLIT

description: [Annotated corpus/guidelines/dataset] First version of the sentence splitting annotations in the Spanish Clinical Case Corpus that have been carried out by means of the Spanish Clinical Case Corpus Part-of-Specch Tagger based on FreeLing3.1 (SPACCC_POS-TAGGER, https://github.com/PlanTL/SPACCC_POS-TAGGER).
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.1494869
title: SPACCC_TOKEN

description: [Annotated corpus/guidelines/dataset] First version of the tokenization annotations in the Spanish Clinical Case Corpus that have been carried out by means of the Spanish Clinical Case Corpus Part-of-Speech Tagger based on FreeLing3.1 (SPACCC_POS-TAGGER, https://github.com/PlanTL/SPACCC_POS-TAGGER).
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.2204994
title: Medical-Translator

description: [PlanTL/medicine/neural machine translation/translation models] The files needed to use the Neural Machine Translation system for the Biomedical Domain. The available language directions for translation are: English to Spanish, Spanish to English, English to Portuguese, Portuguese to English, Spanish to Portuguese and Portuguese to Spanish.
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.3625747
title: CodiEsp corpus training and development set: Spanish clinical cases coded in ICD10 (CIE10) - eHealth CLEF2020

description: These are the train and development sets of the CodiEsp corpus, released in the context of the CodiEsp track for CLEF ehealth 2020. The CodiEsp corpus contains manually coded clinical cases. All documents are in Spanish language and CIE10 is the coding terminology (it is the Spanish version of ICD10-CM and ICD10-PCS). The CodiEsp corpus has been randomly sampled into three subsets: the train, the development, and the test set. The train set contains 500 clinical cases, and the development and test set 250 clinical cases each. The current version of the corpus does not contain the test set. <strong>Corpus format description</strong>: The CodiEsp corpus is distributed in plain text in UTF8 encoding, where each clinical case is stored as a single file whose name is the clinical case identifier. Annotations are released in a tab-separated file. Since the CodiEsp track has 3 sub-tracks, every set of documents (train and test) has 3 tab-separated files associated with it. For the sub-tracks 1 and 2, the file has the following fields: <pre>articleID label ICD10-code text-reference</pre> Tab-separated files for the third sub-track contain an extra field that provides the position in the text of the text-reference: <pre>articleID label ICD10-code text-reference reference-position</pre> <strong>Corpus summary statistics</strong>: The final collection of 1000 clinical cases that make up the corpus had a total of 16504 sentences, with an average of 16.5 sentences per clinical case. It contains a total of 396,988 words, with an average of 396.2 words per clinical case. For more information, visit the track webpage: http://temu.bsc.es/codiesp/
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
description: {"references": ["Villegas M, de la Pe\u00f1a S, Intxaurrondo A, Santamaria J, Krallinger M. Esfuerzos para fomentar la miner\u00eda de textos en biomedicina m\u00e1s all\u00e1 del ingl\u00e9s: el plan estrat\u00e9gico nacional espa\u00f1ol para las tecnolog\u00edas del lenguaje. Procesamiento del Lenguaje Natural. 2017(59):141-4."]}