cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57771/k5jf-gg87
title: deL1L2IM corpus
title: Corpus deL1L2IM

description: The deL1L2IM corpus, created between May and August 2012 and last updated in August 2014, has been collected within the framework of a PhD project on the development of a learning method implying conversations with an artificial companion. This PhD work is presented as a qualitative investigation of instant messaging dialogues on a long-term basis (four months) between advanced learners of German and German native speakers, chatting about whatever topic they wish.<p><p>The dataset is composed of 72 dialogues, each of them having a duration of 20 to 45 minutes. The whole corpus contains ca. 52,000 words and 4,800 messages and has a file size of 0.5 Mb. Nine pairs of participants – i.e. nine learners and four native speakers – were required, with 8 dialogues per pair.<p><p>The interactions have undergone linguistic analysis whereby the annotation will be performed only on repair/correction sequences (incomplete learner error annotation). The goal of the project was to create an application for language modelling and to improve learner language applications, tutoring software and dialogue systems.<p><p>The corpus is delivered in one written text file (in XML format, customized under TEI P5).
description: Le corpus deL1L2IM, créé entre mai et août 2012, avec une dernière mise à jour en août 2014, a été collecté dans le cadre d’un projet de thèse sur le développement d’une méthode d’apprentissage impliquant des conversations avec un compagnon artificiel. Le travail de thèse se présente comme une investigation qualitative sur les dialogues de messagerie instantanée sur une période à long terme (quatre mois) entre des apprenants avancés de l’allemand et des locuteurs natifs allemands, qui ont tchatté sur n’importe quel sujet souhaité.

La base de données est composée de 72 dialogues, chacun ayant une durée de 20 à 45 minutes. Le corpus entier comprend env. 52,000 mots et 4,800 messages, pour une taille de fichier de 0,5 Mo. Neuf paires de participants ont été requises, neuf apprenants et neuf locuteurs natifs, pour réaliser 8 dialogues par paire.

Les interactions ont été soumises à une analyse linguistique où une annotation a été réalisée uniquement sur des séquences de réparation-correction (annotation des erreurs de l’apprenant incomplète). Le but du projet était de permettre la création d’une application pour la modélisation de la langue et d’améliorer les applications d’apprentissage de la langue, d’outils de tutorat et de systèmes de dialogues.

Le corpus est fourni en un fichier texte (au format XML, customisé sous TEI P5).
DOI: 10.57771/4csx-hv83
title: DIACR-Ita dataset
title: DIACR-Ita

description: The DIACR-Ita dataset comprehends the test set used for the DIACR-Ita shared task (https://diacr-ita.github.io/DIACR-Ita/), organised as part of Evalita 2020 evaluation campaign (http://www.evalita.it/2020). The task challenged participants to develop systems that can automatically detect if a given word has changed its meaning over time, given contextual information from corpora.<p>For the test phase, the following data were provided:<p>1- a diachronic split of the “L’Unita`” corpus into the two sub-corpora, C1 and C2, each belonging to a specific time period (respectively, 1945 − 1970 and 1990 − 2014);<p>2- 18 target words, among which 6 were identified as target of semantic meaning change between the two time periods.<p>The present item refers to the 18 target words and their gold labels.<p>
DOI: 10.57771/dnwt-0590
title: English Annotated Dictionary with Morphological and Linguistic Features
title: English Annotated Dictionary

description: The English Annotated Dictionary  consists of i) a limited size dictionary of English words and ii) a language model for the English language. The annotated dictionary provides useful information about words including chunking and syllabification as well as   grammatical information  such as “parts of speech”. The language model captures the journey of a student learning to read. It consists of a collection of language features that must be mastered by a reader. For each language feature, the model specifies its difficulty as well as a list of prerequisites that are typically mastered before the new feature is introduced in the learning path. What makes iRead English  Annotated Dictionary special is the information associating each dictionary lemma with features in the language model. The iRead team of linguists and education researchers used rigorous research techniques informed by the latest science to develop the provided resources.
DOI: 10.57771/xwcv-xd09
title: English Child Dictionary
title: English Child Dictionary

description: The English Child Dictionary is a limited size dictionary of child-appropriate English words. It provides information about words including part of speech, phonetic transcription, syllabification and grapheme-phoneme correspondence. Additional information on prefixes and suffixes is included. The iRead team of linguists and education researchers used rigorous research techniques informed by the latest research to develop the provided resources.
DOI: 10.57771/fwdx-4h06
title: English-Nepali Parallel Corpus
title: Corpus parallèle anglais-népalais

description: The Nepali Monolingual written corpus is one of the 3 resources that constitute the Nepali National Corpus. The Nepali National Corpus was produced in 2006 in the framework of the project Bhasha Sanchar (“language communication”), also known as Nelralec, for Nepali Language Resources and Localization for Education and Communication; funded by the EU Asia IT&C programme, reference number ASIE/2004/091-777.<p><p>This corpus consists of a collection of national development texts in English and Nepali and is divided as follows:<p>- a small set of data aligned at the sentence level (27,060 English words; 21,756 Nepali words), provided in the tmx format (xml file):<p>- a larger set of texts aligned at the document level (617,340 English words; 596,571 Nepali words), provided in raw text and in the original word processing format.<p>- an additional set of monolingual data in Nepali (386,879 words in Nepali), provided in raw text and in the original word processing format.
description: Le corpus écrit monolingue népalais est l’une des 3 ressources qui composent le Corpus National Népalais. Le Corpus National Népalais a été produit en 2006 dans le cadre du projet Bhasha Sanchar (“communication langagière”), également connu sous le nom de Nelralec (Ressources linguistiques népalaises et localisation pour l’éducation et la communication); il a été financé par le programme de l’Union Européenne Asia IT&C, sous la référence ASIE/2004/091-777.

Ce corpus consiste en une collection de textes dans le domaine du développement national en anglais et népalais et est réparti comme suit:
- un petit ensemble de données alignées au niveau de la phrase (27 060 mots anglais; 21 756 mots népalais), fourni au format tmx (fichier xml):
- un plus grand ensemble de textes alignés au niveau du document (617 340 mots anglais; 596 571 mots népalais), fourni en texte brut dans le format de traitement word d’origine.
- un ensemble additionnel de données monolingues en népalais (386 879 mots en népalais), fournis en texte brut et dans le format de traitement word d’origine.
DOI: 10.57771/hpdh-7x97
title: EUROPARL Corpus Parallel Corpora: Portuguese-English
title: Corpus parallèle portugais-anglais du corpus EUROPARL

description: The EUROPARL Corpus (Portuguese-English subpart of the parallel corpora), was extracted from the proceedings of the European Parliament. It contains transcriptions of sessions dating back from 1996 to 2011, with a total of approximately 58,324,562 tokens of European Portuguese (L1) and 49,216,896 tokens of English (translation). <p><p>The EUROPARL Corpus is composed of one text file for the English corpus and two files for the Portuguese version: a text file and an annotated file. The text version contains plain text and no further annotation. The Portuguese annotated file is a four-column file with one token per line, followed by a PoS tag and a lemma. The corpus was automatically PoS-tagged with MBT tagger (http://ilk.uvt.nl/mbt/), and lemmatized with MBLEM (http://ilk.uvt.nl/mbma/), following the annotation scheme of the Corpus of Reference of Contemporary Portuguese.
description: Le corpus EUROPARL (la sous-partie portugais-anglais du corpus), est extrait des actes du Parlement Européen. Il contient des transcriptions des séances parlementaires correspondant à la période 1996-2011, et comprend environ 58,324,562 mots en portugais européen (L1) et 49,216,896 mots en anglais (traduction).

Le corpus EUROPARL comprend un fichier texte pour la sous-partie en anglais, et deux fichiers pour la version portugaise: un fichier texte et un fichier annoté. Le fichier texte contient du texte simple sans annotation. Le fichier annoté contient un mot par ligne, suivi par la partie du discours et par le lemme. Le corpus a été annoté automatiquement en parties du discours avec l’étiqueteur MBT (http://ilk.uvt.nl/mbt/), et il a été lemmatisé avec l’outil MBLEM (http://ilk.uvt.nl/mbma/), selon le schéma d’annotation du Corpus de Référence du Portugais Contemporain.
DOI: 10.57771/d6en-bv68
title: EVALITA 2007 Parsing Task Dataset

description: The EVALITA 2007 Parsing Task Dataset comprehends about 2200 sentences extracted from the Turin University Treebank (TUT) and annotated in both a dependency-based (TUT native) and a constituency-based (Penn-like) format. The corpus can be separated in two equally sized subcorpora, one from the Italian legal Code and one from Italian newspapers. It has been used as dataset in the Parsing Task (https://www.evalita.it/2007/tasks/parsing) organised as part of the EVALITA 2007 evaluation campaign (https://www.evalita.it/2007). <p>
DOI: 10.57771/tsea-9w29
title: EVALITA 2011 Parsing Task Dataset
title: Parsing Task 2011

description: The EVALITA 2011 Parsing Task Dataset comprehends 3,752 Italian  sentences collected from the Turin University Treebank (TUT), belonging to the five different text genres, <p>and annotated in both a Penn-like format (TUT-Penn) and CoNLL one. The dataset has been used in the context of the EVALITA 2011 Parsing Task (http://www.di.unito.it/~tutreeb/evalita-parsingtask-11.html), organized as part of the EVALITA 2011 evaluation campaign (http://www.evalita.it/2011).In order to account for different parsing paradigms, the task has been articulated into two different tracks, i.e. dependency and constituency parsing.<p>
DOI: 10.57771/cqks-fz49
title: EVENTI corpus
title: EVENTI

description: The EVENTI corpus collects news articles and stories annotated with temporal information at different levels (i.e. events, temporal expressions, signals and temporal relations) following the It-TimeML Annotation Guidelines (https://sites.google.com/site/eventievalita2014/file-cabinet). <p>The corpus is divided into 3 datasets: the Main task training data (103,593 tokens), the Main task test data (26,686 tokens) and the Pilot task test data (5000 tokens from newspaper articles written by Alcide De Gasperi in 1914). <p>The dataset has been used in the context of the EVENTI task (https://sites.google.com/site/eventievalita2014/) during the EVALITA 2014 evaluation campaign (http://www.evalita.it/2014). <p>
DOI: 10.57771/rxsv-rq46
title: FactA Dataset
title: FactA

description: The FACTA dataset consists of 169 news stories selected from the Ita-TimeBank, 120 Wikinews articles, and 301 tweets, annotated with event factuality information. <p>The factuality profiling is represented by means of three attributes associated to event mentions, namely: certainty, time, and polarity. The dataset has been created and  used in the context of the FACTA task (https://facta-evalita2016.fbk.eu), organised as part of the EVALITA 2016 evaluation campaign (​​http://www.evalita.it/2016). The task aimed at evaluating systems for the identification of the factuality profiling of events. The Main Task of FactA focused on the newswire domain; the training and test datasets are both composed of news articles (65,053 and 15,676 tokens, respectively). In addition to this, the task also comprehended a Pilot Task on factuality profiling on social media texts (in particular, Tweets; 4,920 tokens).
DOI: 10.57771/k0t4-bw22
title: FESTCAT Catalan TTS baseline female speech database
title: Voix de femme de référence TTS du projet FESTCAT catalan

description: This database contains the recordings of one female Catalan professional speaker recorded in a noise-reduced room simultaneously through a close talk microphone, a mid distance microphone and a laryngograph signal. It consists in the recordings and annotations of read text material of approximately 10 hours of speech for baseline applications (Text-to-Speech systems). The FESTCAT Catalan TTS Baseline Female Speech Database was created within the scope of the FESTCAT project funded by the Catalan Government.
description: Cette base de données comprend les enregistrements d’un locuteur professionnel femme du catalan dans une salle à bruit réduit réalisés simultanément via un microphone “close talk”, un microphone à moyenne distance et un signal laryngographique. Elle consiste en des enregistrements et annotations de matériel textuel lu pour environ 10 heures de parole pour des applications de référence (systèmes texte-parole). La voix de femme de référence TTS du projet FESTCAT catalan a été créée dans le cadre du projet FESTCAT, financé par le gouvernement catalan.
DOI: 10.57771/390d-sc68
title: FESTCAT Catalan TTS baseline male speech database
title: Voix d'homme de référence TTS du projet FESTCAT catalan

description: This database contains the recordings of one male Catalan professional speaker recorded in a noise-reduced room simultaneously through a close talk microphone, a mid distance microphone and a laryngograph signal. This database consists in the recordings and annotations of read text material of approximately 10 hours of speech for baseline applications (Text-to-Speech systems). The FESTCAT Catalan TTS Baseline Male Speech Database was created within the scope of the FESTCAT project, funded by the Catalan Government.
description: Cette base de données comprend les enregistrements d’un locuteur professionnel homme du catalan dans une salle à bruit réduit réalisés simultanément via un microphone “close talk”, un microphone à moyenne distance et un signal laryngographique. Elle consiste en des enregistrements et annotations de matériel textuel lu pour environ 10 heures de parole pour des applications de référence (systèmes texte-parole). La voix d'homme de référence TTS du projet FESTCAT catalan a été créée dans le cadre du projet FESTCAT, financé par le gouvernement catalan.
DOI: 10.57771/qavm-f423
title: FESTCAT Catalan TTS baseline speech database - 8 speakers
title: Voix de référence TTS du projet FESTCAT catalan - 8 locuteurs

description: This database contains the recordings of four female and four male Catalan professional speakers recorded in a noise-reduced room simultaneously through a close talk microphone, a mid distance microphone and a laryngograph signal. It consists of the recordings and annotations of read text material of approximately 1 hour of speech per speaker for baseline applications (Text-to-Speech systems). The FESTCAT Catalan TTS baseline speech database - 8 speakers was created within the scope of the FESTCAT project funded by the Catalan Government.
description: Cette base de données comprend les enregistrements de 4 locuteurs hommes et 4 locuteurs femmes professionnels du catalan dans une salle à bruit réduit réalisés simultanément via un microphone “close talk”, un microphone à moyenne distance et un signal laryngographique. Elle consiste en des enregistrements et annotations de matériel textuel lu pour environ 1 heure de parole par locuteur pour des applications de référence (systèmes texte-parole). La voix de référence TTS du projet FESTCAT catalan – 8 locuteurs a été créée dans le cadre du projet FESTCAT, financé par le gouvernement catalan.
DOI: 10.57771/x5sb-9m87
title: GeolISSTerm - geological dictionary
title: GeolISSTerm 

description: <p>GeolISSTerm is the electronic dictionary of geologic terms (GeolISSTerm) as a special-purpose taxonomy of basic geologic concepts and terms. GeolISSTerm is part of the Geologic Information System of Serbia (GeolISS) used for validation, classification and specification of the observed and the interpreted geological attributes. Development was funded by Ministry of the Environment, Mining and Spatial Planning of the Republic of Serbia, later transformed so project is currently fully supported by Ministry of Mining and Energy of the Republic of Serbia.</p>
DOI: 10.57771/fww0-d433
title: German Annotated Dictionary with Morphological and Linguistic Features
title: German Annotated Dictionary

description: The German Annotated Dictionary  consists of i) a limited size dictionary of German words and ii) a language model for the German language. The annotated dictionary provides useful information about words including chunking and syllabification as well as   grammatical information  such as “parts of speech”. The language model captures the journey of a student learning to read. It consists of a collection of language features that must be mastered by a reader. For each language feature, the model specifies its difficulty as well as a list of prerequisites that are typically mastered before the new feature is introduced in the learning path. What makes iRead German  Annotated Dictionary special is the information associating each dictionary lemma with features in the language model. The iRead team of linguists and education researchers used rigorous research techniques informed by the latest science to develop the provided resources.
DOI: 10.57771/0rdr-r869
title: Greek Annotated Dictionary with Morphological and Linguistic Features
title: Greek Annotated Dictionary

description: The Greek Annotated Dictionary  consists of i) a limited size dictionary of Greek words and ii) a language model for the Greek language. The annotated dictionary provides useful information about words including chunking and syllabification as well as   grammatical information  such as “parts of speech”. The language model captures the journey of a student learning to read. It consists of a collection of language features that must be mastered by a reader. For each language feature, the model specifies its difficulty as well as a list of prerequisites that are typically mastered before the new feature is introduced in the learning path. What makes iRead Greek  Annotated Dictionary special is the information associating each dictionary lemma with features in the language model. The iRead team of linguists and education researchers used rigorous research techniques informed by the latest science to develop the provided resources.
DOI: 10.34636/dmportal/lvyuch/dkzgv8
title: 04_72hpa_AB_Yap488pSmad159_568_c1c4_part02.lsm

description: Danio rerio confocal image
DOI: 10.34636/dmportal/lvyuch/kq5rdf
title: 03_72hpa_AB_Yap488pSmad159_568_d1d4.lsm

description: Danio rerio confocal image
DOI: 10.57771/560y-zh87
title: HaSpeeDe 2018 dataset
title: HaSpeeDe 2018

description: The HaSpeeDe dataset collects 8000 Facebook comments and<p> tweets annotated for the presence of hate speech. The dataset has been used in the context of the HaSpeeDe task, organized as part of the EVALITA 2018 evaluation campaign (http://www.evalita.it/2018). <p>In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text.<p>
DOI: 10.34636/dmportal/lvyuch/y50emv
title: 04_72hpa_AB_Yap488pSmad159_568_c1c4_part01.lsm

description: Danio rerio confocal image
DOI: 10.34636/dmportal/lvyuch/patm4q
title: 01_72hpa_AB_Yap488pSmad159_568_c1c4.lsm

description: Danio rerio confocal image
DOI: 10.34636/dmportal/lvyuch/zublpa
title: 02_72hpa_AB_Yap488pSmad159_568_c1c4_part02.lsm

description: Danio rerio confocal image
DOI: 10.57771/r42x-c442
title: HaSpeeDe 2 Dataset
title: HaSpeeDe2

description: The HaSpeeDe2 dataset collects  8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance. The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020). <p>In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text.
DOI: 10.34636/dmportal/lvyuch/exwrny
title: 02_72hpa_AB_Yap488pSmad159_568_c1c4_part01.lsm

description: Danio rerio confocal image
DOI: 10.34636/dmportal/lvyuch/lztcqh
title: 02_72hpa_AB_Yap488pSmad159_568_c1c4_part01.lsm.ome.xml

description: Danio rerio confocal image metadata
DOI: 10.34636/dmportal/lvyuch/czurrc
title: 04_72hpa_AB_Yap488pSmad159_568_c1c4_part01.lsm.ome.xml

description: Danio rerio confocal image metadata
DOI: 10.34636/dmportal/lvyuch/uzozo1
title: 03_72hpa_AB_Yap488pSmad159_568_d1d4.lsm.ome.xml

description: Danio rerio confocal image metadata
DOI: 10.34636/dmportal/lvyuch/mxw4bm
title: 04_72hpa_AB_Yap488pSmad159_568_c1c4_part02.lsm.ome.xml

description: Danio rerio confocal image metadata
DOI: 10.34636/dmportal/lvyuch/lnjbls
title: 01_72hpa_AB_Yap488pSmad159_568_c1c4.lsm.ome.xml

description: Danio rerio confocal image metadata
DOI: 10.34636/dmportal/lvyuch/rwm7vp
title: 02_72hpa_AB_Yap488pSmad159_568_c1c4_part02.lsm.ome.xml

description: Danio rerio confocal image metadata
DOI: 10.34636/dmportal/lvyuch
title: Danio rerio confocal images of a 72 hours post-amputation longitudinal fin cryosection immunostained for Yap, pSmad1/5/8 and DAPI. Support dataset to the article: https://doi.org/10.1242/jcs.231993

description: Wild-type AB Danio Rerio (Zebrafish) confocal images of a 72 hours post-amputation longitudinal fin cryosection immunostained for Yap, pSmad1/5/8, and DAPI. All Images contain multiple z-stacks covering the whole 12 micrometer cryosection and contain 4 channels: DAPI (nuclei), Transmitted light, AlexaFluor488 (YAP), AlexaFluor561(pSmad1/5/8). Images were acquired using a 40x 1.2NA water immersion objective in a Zeiss LSM 710 confocal microscope.
DOI: 10.6073/pasta/290203010693bcb36954b81b99ab68e6
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP G-SUMM met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.