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  • Digital Humanities and Cultural Heritage
  • 2018-2022
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  • Estonian
  • Digital Humanities and Cultural Her...

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  • Authors: Langemets, Margit; Hein, Indrek; Jürviste, Madis; Kallas, Jelena; +18 Authors

    Eesti Keele Ühendsõnastik 2022 (EKI Combined Dictionary 2022) displays information from different lexical databases: "The Dictionary of Estonian 2019", "Estonian Collocations Dictionary 2019", "Basic Estonian Dictionary" (2014), "The Estonian Morphological Database of the Institute of the Estonian Language 2022". It displays also information from bilingual lexical databases: "Estonian-Russian orthographic dictionary for students 2018" (1st edition 2011), "Estonian-Russian Dictionary 2018" (1st edition 1997–2009), "The Russian Morphological Database of the Institute of the Estonian Language 2022". The data is stored in Ekilex's PostgreSQL database and accessible through API. Ekilex is in-house DWS of the Institite of the Estonian Language. Ekilex is hosted in the Estonian Scientific Computing Infrastructure (ETAIS) cloud. See also: https://doi.org/10.15155/3-00-0000-0000-0000-08C0AL

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Danto, Anatole;

    Enregistrements réalisés lors d'enquêtes de terrain en Estonie, au Groenland, à Saint-Pierre et Miquelon, etc., qui ont permis l'observation ethnographique de cérémonies religieuses orthodoxes à travers le pays.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao NAKALA; CoCoONarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    NAKALA; CoCoON
    Collection . 2022
    Data sources: Datacite; CoCoON
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao NAKALA; CoCoONarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      NAKALA; CoCoON
      Collection . 2022
      Data sources: Datacite; CoCoON
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Freienthal, Linda; Pelicon, Andraž; Martinc, Matej; Škrlj, Blaž; +8 Authors

    This dataset contains articles from EMBEDDIA Media partners with various information added by the tools developed within the EMBEDDIA project: - 12,390 Estonian articles from 2019 with tags given by Ekspress Meedia. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1408 - 5,000 Croatian articles from autumn of 2010 with tags given by 24sata. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1410 - 15,264 Latvian articles from 2019 with tags given by Ekspress Meedia. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1409 All the articles in the dataset have been analysed with texta-mlp Python package (https://pypi.org/project/texta-mlp/) via the EMBEDDIA Media assistant's Texta Toolkit (https://docs.texta.ee/). The tools used to analyse the articles were the following: - Latin1 and Latin2 Name Entity Recognition Tool modules (Cabrera-Diego et al., 2021, both described in https://aclanthology.org/2021.bsnlp-1.12/) . The Latin 1 results can be found folders annotated_articles_ner_latin1/ and annotated_articles_all_tools/, while the Latin 2 results are in annotated_articles_nerlatin2/ or annotated_articles_all_tools/. - RAKUN keyword extractor. RAKUN (Škrlj et al. 2019) is an unsupervised system for keyword extraction, so it can be used for any language. It detects keywords by turning text into a graph and the most important nodes in the graph mostly turn out to be the keywords. It is described in https://link.springer.com/chapter/10.1007/978-3-030-31372-2_26. The keyword annotation results can be found in the folder annotated_articles_rakun/ or annotated_articles_all_tools/. - TNT-KID keyword extractor. TNT-KID (Martinc et al. 2021, ) is a supervised system for automatic keyword extraction. It was trained on a corpus of articles with human-assigned keywords. For Croatian, the annotators were 24sata editors, for Estonian the Ekspress Meedia staff and for Latvian the Latvian Delfi staff. The system is further documented at https://doi.org/10.1017/S1351324921000127. For Croatian only TNT-KID was applied, while for Estonian and Latvian, the TNT-KID with TF-IDF, and extension by Koloski et al. (https://aclanthology.org/2021.hackashop-1.4.pdf) was used. The results of applying this tool are found in the folder annotated articles tnt_kid/ or annotated articles all tools/. - Sentiment analysis. Our news sentiment analyser (Pelicon et al. 2020) labels a news article as being of positive, negative, or neutral sentiment, using a fine-tuned multilingual BERT model, which was trained on Slovene sentiment annotated news articles. The system is further documented in https://doi.org/10.3390/app10175993. The results of this tools are found in the folder annotated articles sentiment/ or annotated articles all tools/. All the data is encoded in "JSON Lines" format. Each folder has its own README file which explains the structure of the files.

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    CLARIN.SI repository
    Other ORP type . 2022
    Data sources: B2FIND
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      CLARIN.SI repository
      Other ORP type . 2022
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  • Authors: Hints, Olle; Aren, Mariliis; Hang, Tiit; Kaljo, Dimitri; +8 Authors

    Geoloogiline ajaskaala 2022 on IUGSi Rahvusvahelise Stratigraafia Komisjoni poolt kinnitatud kronostratigraafilise skeemi (versioon 2022/02) eestindatud väljaanne. Stratigraafiliste üksuste nimed on kinnitanud Eesti Stratigraafia Komisjon ning need on soovituslikuks kasutamiseks kõigis eestikeelsetes vastavaid termineid kasutavates väljaannetes. Võrreldes ajaskaala eelmise versiooniga (https://doi.org/10.23679/504) on GSSP-ga fikseeritud Artinski, Cognaci, Kimmeridge'i ja Priabona lademe (ea) alumised piirid, lisatud on Neogeeni ja Pleistotseeni alamladestikud (alamajastikud), täpsustatud Kambriumi ladestu (ajastu) alumise piiri vanust, samuti osade Permi ja Kriidi lademepiiride vanuseid. Lisaks on tehtud tehnilisi parandusi.

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    Authors: Purver, Matthew; Pollak, Senja; Freienthal, Linda; Kuulmets, Hele-Andra; +2 Authors

    The dataset is an archive of articles from the Ekspress Meedia news site from 2009-2019, containing over 1.4M articles, mostly in Estonian language (1,115,120 articles) with some in Russian (325,952 articles). Keywords are included for articles after 2015. The main archive is in file ee_articles_2009_2019. Other files contain derived versions and subsets - please see README files inside those zip files. The main archive contains JSON files of all the Estonian articles from the year 2009 to 2019 May. These datasets are intended for usage in EMBEDDIA, a H2020 project. Articles are in Estonian language with some in Russian. The main archive is in file ee_*articles_*2009_2019. Other files contain derived versions and subsets (please see README files inside those zip files), in short: - eearticles2015-2019: This dataset contains Estonian and Russian articles - 5 years, with tags, that were missing in the previous versions. - files eearticles20152019lemmatized and eearticles20092014lemmatized are the files preprocessed by TEXTA (contact linda@texta.ee) - in file eeandsttarticlelemmasembeddingsand_usage you can find w2v embeddings trained by TEXTA (contact linda@texta.ee) Description of the Main Dataset (eearticles_2009_2019) There are 12 JSON files: articles_2009_ver2.json contains 161394 articles from the year 2009 articles_2010_ver2.json contains 151033 articles from the year 2010 articles_2011_ver2.json contains 168273 articles from the year 2011 articles_2012_ver2.json contains 152772 articles from the year 2012 articles_2013_ver2.json contains 141012 articles from the year 2013 articles_2014_ver2.json contains 128388 articles from the year 2014 articles_2015_ver2.json contains 127425 articles from the year 2015 articles_2016_ver2.json contains 130704 articles from the year 2016 articles_2017_ver2.json contains 119318 articles from the year 2017 articles_2018_ver2.json contains 117388 articles from the year 2018 articles_2019_Jan-Apr_ver2.json contains 35076 articles from the year 2019 January to April articles_2019_May_ver2.json contains 8329 articles from the year 2019 May In sum: 1 441 112 articles Each JSON file is a list of dictionaries, i.e. each article is represented as a dictionary. Each dictionary contains the following: id (integer) - the ID of the article title (string) - the title of the article lead (string) - the lead of the article (can contain HTML, e.g. tag) url (string) - the URL of the article tags (list of dictionaries or None) [1]: each dictionary represents one tag. The tag dictionary contains the following: domain_id (string) [2] - the ID of the domain id (string) - the ID of the tag lang (string) - the language of the tag tag (string) - the tag itself, e.g. Kert Kingo (a name) translitted_name (string) - a modified version of the tag, e.g. kert-kingo rawBody (string) - the raw text of the article (contains HTML) bodyText (string) - clean article text (stripped from HTML) publishDate (string) - published date & time of the article categoryPrimary (dictionary or empty list) - the dictionary contains the following information: categoryId (integer) - the ID of the category categoryName (string)- the name of the category (e.g. World) channelId (integer) - the ID of the channel OR articleId (integer) - the ID of the article categoryId (integer) - the ID of the category categoryName (string)- the name of the category (e.g. World) categoryPrimary (boolean) - unknown categorySort (integer) - unknown categoryUrl (string) - the URL of the category categoryVisible (boolean) - unknown channelId (integer) - the ID of the channel channelUrl (string) - the URL of the channel (e.g. 'https://sport.delfi.ee') directoryName (string) - unknown parentId (integer) - unknown channelLanguage (string or None) [3] - the language of the channel categoryLanguage (int or None) [4] -unknown commentCount (int) [5] - the number of comments relatedArticles (list of integers) - a list of related articles' ID's

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    CLARIN.SI repository
    Other ORP type . 2021
    Data sources: B2FIND
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    Authors: Shekhar, Ravi; Pollak, Senja; Pelicon, Andraž; Matthew, Purver; +1 Authors

    This dataset is an archive of reader comments on the Ekspress Meedia news site from 2009-2019, containing approximately 31M comments, mostly in the Estonian language, with some in Russian. Description of the Datasets. There are 11 CSV files: comments_2009.csv contains 2 898 438 comments from the year 2009 comments_2010.csv contains 2 377 591 comments from the year 2010 comments_2011.csv contains 2 729 389 comments from the year 2011 comments_2012.csv contains 3 372 776 comments from the year 2012 comments_2013.csv contains 3 289 393 comments from the year 2013 comments_2014.csv contains 3 195 502 comments from the year 2014 comments_2015.csv contains 3 202 592 comments from the year 2015 comments_2016.csv contains 2 848 624 comments from the year 2016 comments_2017.csv contains 2 838 075 comments from the year 2017 comments_2018.csv contains 3 194 597 comments from the year 2018 comments_2019.csv contains 1 526 755 comments from the year 2019 May In sum: 3 1473 732 comments Columns: comment_id (string) - the ID of the written comment article_id (string) - the ID of the article for which the comment was written created_time (string) - the time and date of the comment subject (string) - the title of the comment reply_to_comment_id (string) - the parent comments ID content (string) - the comment itself is_anonymous (string) - 1 if the comment was published anonymously 0 if the comment was published by a registered user is_enabled (string) - 1 if the comment was published (online) 0 if it wasn’t published Questionable field: not all have been manually moderated No additional information from the moderators channel_language (string) - the language of the channel: 'nat' for Estonian, 'rus' for Russian create_user_id (string) - the user ID of the commentator '0' for all blocked comments. moderated_by (string) - the ID of the moderator

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    Other ORP type . 2021
    Data sources: B2FIND
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    Authors: Meidla, Tõnu; Hang, Tiit; Hints, Olle; Kaljo, Dimitri; +7 Authors

    Geoloogiline ajaskaala 2019 on IUGSi Rahvusvahelise Stratigraafia Komisjoni poolt kinnitatud kronostratigraafilise skeemi (versioon 2019/05) eestindatud versioon. Võrreldes ajaskaala eelmise versiooniga (2018/08) on täpsustatud Kesk-Pleistotseeni alumise piiri vanust.

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    https://doi.org/10.15152/geo.4...
    Other ORP type . 2020
    License: CC BY
    Data sources: Datacite
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      https://doi.org/10.15152/geo.4...
      Other ORP type . 2020
      License: CC BY
      Data sources: Datacite
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  • Authors: Meidla, Tõnu; Aren, Mariliis; Hang, Tiit; Hints, Olle; +9 Authors

    Geoloogiline ajaskaala 2020 on IUGSi Rahvusvahelise Stratigraafia Komisjoni poolt kinnitatud kronostratigraafilise skeemi (versioon 2020/03) eestindatud väljaanne. Stratigraafiliste üksuste nimed on kinnitanud Eesti Stratigraafia Komisjon ning need on soovituslikuks kasutamiseks kõigis eestikeelsetes vastavaid termineid kasutavates väljaannetes. Võrreldes ajaskaala eelmise versiooniga (https://doi.org/10.15152/GEO.478) on lisandunud Chiba lade (ingl k Chibanian Stage), mis asendab Kesk-Pleistotseeni nime, ning täpsustatud Chiba, Hilis-Pleistotseeni ja Hauterive'i lademe alumise piiri vanust. Lisaks on tehtud tehnilisi parandusi.

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    Authors: Hang, Tiit; Veski, Siim; Heinsalu, Atko; Nikolai, Vassiljev; +3 Authors

    Esitatu on uus Eesti Holotseeni setete stratigraafiline skeem. Erinevalt endisest (skeemil parempoolne tabel), 1993. aastal kinnitatud ja 1995. aastal publitseeritud õietolmu koosluste muutustel põhinevast skeemist, on uus kolmikjaotusega skeem sarnaselt rahvusvahelisele skeemile klimatostratigraafiline. Selle aluseks on maismaasetete õietolmu andmetest tuletatud (modelleeritud) juuli keskmise temperatuuri muutused. Andmetest nähtub Alam-Holotseeni ehk Grööni ea (11700–8200 kalibreeritud aastat tagasi (kal. a)) juuli keskmise temperatuuri tõusutrend kuni jahenemisepisoodini 8200 kal. a. Kesk-Holotseeni ehk Northgripi iga (8200–4200 kal. a) iseloomustab kliima optimum. Ülem-Holotseenis ehk Meghalaya eal (alates 4200 kal. a) on juuli keskmine temperatuur olnud kõikuv, kus tuntumad sündmused on olnud Keskaegne soojenemine ja nn Väike Jääaeg ning kaasaegne temperatuuri tõusutrend. Teiseks oluliseks erinevuseks varasema Eesti Holotseeni stratigraafilise skeemiga on uus, kalibreeritud ajaskaalal (kal. a) põhinev kronoloogiline raamistik. Varasema Holotseeni stratigraafilise skeemi kronoloogia põhines raadiosüsiniku meetodi dateeringute kalibreerimata vanustel radiosüsiniku aastates enne tänapäeva (14C a.t.), kus tänapäeva all mõeldi kokkuleppeliselt aastat 1950. Radiosüsiniku aasta pikkus ei vasta kalendriaastale ja neid tuleb töödelda ehk kalibreerida, et leida vastavad vanused kalendriaastates. Omakorda kalendreid on kasutusel mitmeid ja/või mõistetakse null-aastat erinevalt ‘tänapäevast’, mistõttu praktikas on kasutatud dateerimismeetodile viitavat kalibreeritud ajaskaalat (n. AMS kal. a). Kronoloogiline taust uuemates Eesti Holotseeni setete uuringutes baseerub kiirend-mass-spektromeetri (AMS) radiosüsinikumeetodi dateeringute põhisel kalibreeritud (kal. a) ajaskaalal ning vastava andmestiku rööbistamisel Gröönimaa jääsüdamiku (NGRIP) ajaskaala ja sündmusstratigraafiaga. Holotseeni ladestiku kolmikjaotuse kronoloogilised piirid ning stratotüüpidele toetuvad nimetused Grööni, Northgripi ja Meghalaya (ingl. k. Greenlandian, Northgrippian, Meghalayan) on ühtlustatud rahvusvahelise Holotseeni stratigraafilise skeemiga, mis kinnitati 2018. aastal Rahvusvahelises Stratigraafia Komisjonis. Läänemere setete jaotus uues Holotseeni skeemis baseerub rahvusvaheliselt tunnustatud Läänemere arengustaadiumidel ja nende piiride kronoloogial. See on ühelt poolt tingitud raskustest Läänemere arengustaadiumide defineerimisel, mis traditsiooniliselt baseerub soolsuse muutustel. Need muutused on Eesti pikal rannajoonel aga pigem gradatsioonilised kui üheaegsed. Teiseks on Holotseeni Läänemere geoloogia uuringud Eestis suunatud valdavalt rannajoone muutustele, st. suhtelise veetaseme muutustele eelkõige transgressiivsete ja regressiivsete veetasemete ja nende vanuste määramisele, mitte niivõrd staadiumide piiride kronoloogia küsimustele. Erinevalt varasemast Eesti Holotseeni stratigraafilisest skeemist pakub uus skeem ka Esiaja periodiseerimist. Sellist lähenemist peeti mõistlikuks kuna Eestis toimib väga tihe arheoloogide ja loodusteadlaste koostöö, kus huvi on mõlemapoolne: arheoloogia aitab lahendada kronoloogia probleeme ning loodusteaduslikud meetodid annavad maastike mõistmise ja arengu võtme. Oluliseks on märkida, et nii maismaa kui meresetete jaotus ja piiride kronoloogia ei baseeru kindlatel stratotüüpsetel läbilõigetel vaid on üldistus väga paljude läbilõigete uuringutest.

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    Authors: Meidla, Tõnu; Hang, Tiit; Hints, Olle; Kaljo, Dimitri; +7 Authors
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  • Authors: Langemets, Margit; Hein, Indrek; Jürviste, Madis; Kallas, Jelena; +18 Authors

    Eesti Keele Ühendsõnastik 2022 (EKI Combined Dictionary 2022) displays information from different lexical databases: "The Dictionary of Estonian 2019", "Estonian Collocations Dictionary 2019", "Basic Estonian Dictionary" (2014), "The Estonian Morphological Database of the Institute of the Estonian Language 2022". It displays also information from bilingual lexical databases: "Estonian-Russian orthographic dictionary for students 2018" (1st edition 2011), "Estonian-Russian Dictionary 2018" (1st edition 1997–2009), "The Russian Morphological Database of the Institute of the Estonian Language 2022". The data is stored in Ekilex's PostgreSQL database and accessible through API. Ekilex is in-house DWS of the Institite of the Estonian Language. Ekilex is hosted in the Estonian Scientific Computing Infrastructure (ETAIS) cloud. See also: https://doi.org/10.15155/3-00-0000-0000-0000-08C0AL

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Danto, Anatole;

    Enregistrements réalisés lors d'enquêtes de terrain en Estonie, au Groenland, à Saint-Pierre et Miquelon, etc., qui ont permis l'observation ethnographique de cérémonies religieuses orthodoxes à travers le pays.

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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    NAKALA; CoCoON
    Collection . 2022
    Data sources: Datacite; CoCoON
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao NAKALA; CoCoONarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      NAKALA; CoCoON
      Collection . 2022
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    Authors: Freienthal, Linda; Pelicon, Andraž; Martinc, Matej; Škrlj, Blaž; +8 Authors

    This dataset contains articles from EMBEDDIA Media partners with various information added by the tools developed within the EMBEDDIA project: - 12,390 Estonian articles from 2019 with tags given by Ekspress Meedia. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1408 - 5,000 Croatian articles from autumn of 2010 with tags given by 24sata. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1410 - 15,264 Latvian articles from 2019 with tags given by Ekspress Meedia. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1409 All the articles in the dataset have been analysed with texta-mlp Python package (https://pypi.org/project/texta-mlp/) via the EMBEDDIA Media assistant's Texta Toolkit (https://docs.texta.ee/). The tools used to analyse the articles were the following: - Latin1 and Latin2 Name Entity Recognition Tool modules (Cabrera-Diego et al., 2021, both described in https://aclanthology.org/2021.bsnlp-1.12/) . The Latin 1 results can be found folders annotated_articles_ner_latin1/ and annotated_articles_all_tools/, while the Latin 2 results are in annotated_articles_nerlatin2/ or annotated_articles_all_tools/. - RAKUN keyword extractor. RAKUN (Škrlj et al. 2019) is an unsupervised system for keyword extraction, so it can be used for any language. It detects keywords by turning text into a graph and the most important nodes in the graph mostly turn out to be the keywords. It is described in https://link.springer.com/chapter/10.1007/978-3-030-31372-2_26. The keyword annotation results can be found in the folder annotated_articles_rakun/ or annotated_articles_all_tools/. - TNT-KID keyword extractor. TNT-KID (Martinc et al. 2021, ) is a supervised system for automatic keyword extraction. It was trained on a corpus of articles with human-assigned keywords. For Croatian, the annotators were 24sata editors, for Estonian the Ekspress Meedia staff and for Latvian the Latvian Delfi staff. The system is further documented at https://doi.org/10.1017/S1351324921000127. For Croatian only TNT-KID was applied, while for Estonian and Latvian, the TNT-KID with TF-IDF, and extension by Koloski et al. (https://aclanthology.org/2021.hackashop-1.4.pdf) was used. The results of applying this tool are found in the folder annotated articles tnt_kid/ or annotated articles all tools/. - Sentiment analysis. Our news sentiment analyser (Pelicon et al. 2020) labels a news article as being of positive, negative, or neutral sentiment, using a fine-tuned multilingual BERT model, which was trained on Slovene sentiment annotated news articles. The system is further documented in https://doi.org/10.3390/app10175993. The results of this tools are found in the folder annotated articles sentiment/ or annotated articles all tools/. All the data is encoded in "JSON Lines" format. Each folder has its own README file which explains the structure of the files.

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    CLARIN.SI repository
    Other ORP type . 2022
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  • Authors: Hints, Olle; Aren, Mariliis; Hang, Tiit; Kaljo, Dimitri; +8 Authors

    Geoloogiline ajaskaala 2022 on IUGSi Rahvusvahelise Stratigraafia Komisjoni poolt kinnitatud kronostratigraafilise skeemi (versioon 2022/02) eestindatud väljaanne. Stratigraafiliste üksuste nimed on kinnitanud Eesti Stratigraafia Komisjon ning need on soovituslikuks kasutamiseks kõigis eestikeelsetes vastavaid termineid kasutavates väljaannetes. Võrreldes ajaskaala eelmise versiooniga (https://doi.org/10.23679/504) on GSSP-ga fikseeritud Artinski, Cognaci, Kimmeridge'i ja Priabona lademe (ea) alumised piirid, lisatud on Neogeeni ja Pleistotseeni alamladestikud (alamajastikud), täpsustatud Kambriumi ladestu (ajastu) alumise piiri vanust, samuti osade Permi ja Kriidi lademepiiride vanuseid. Lisaks on tehtud tehnilisi parandusi.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Purver, Matthew; Pollak, Senja; Freienthal, Linda; Kuulmets, Hele-Andra; +2 Authors

    The dataset is an archive of articles from the Ekspress Meedia news site from 2009-2019, containing over 1.4M articles, mostly in Estonian language (1,115,120 articles) with some in Russian (325,952 articles). Keywords are included for articles after 2015. The main archive is in file ee_articles_2009_2019. Other files contain derived versions and subsets - please see README files inside those zip files. The main archive contains JSON files of all the Estonian articles from the year 2009 to 2019 May. These datasets are intended for usage in EMBEDDIA, a H2020 project. Articles are in Estonian language with some in Russian. The main archive is in file ee_*articles_*2009_2019. Other files contain derived versions and subsets (please see README files inside those zip files), in short: - eearticles2015-2019: This dataset contains Estonian and Russian articles - 5 years, with tags, that were missing in the previous versions. - files eearticles20152019lemmatized and eearticles20092014lemmatized are the files preprocessed by TEXTA (contact linda@texta.ee) - in file eeandsttarticlelemmasembeddingsand_usage you can find w2v embeddings trained by TEXTA (contact linda@texta.ee) Description of the Main Dataset (eearticles_2009_2019) There are 12 JSON files: articles_2009_ver2.json contains 161394 articles from the year 2009 articles_2010_ver2.json contains 151033 articles from the year 2010 articles_2011_ver2.json contains 168273 articles from the year 2011 articles_2012_ver2.json contains 152772 articles from the year 2012 articles_2013_ver2.json contains 141012 articles from the year 2013 articles_2014_ver2.json contains 128388 articles from the year 2014 articles_2015_ver2.json contains 127425 articles from the year 2015 articles_2016_ver2.json contains 130704 articles from the year 2016 articles_2017_ver2.json contains 119318 articles from the year 2017 articles_2018_ver2.json contains 117388 articles from the year 2018 articles_2019_Jan-Apr_ver2.json contains 35076 articles from the year 2019 January to April articles_2019_May_ver2.json contains 8329 articles from the year 2019 May In sum: 1 441 112 articles Each JSON file is a list of dictionaries, i.e. each article is represented as a dictionary. Each dictionary contains the following: id (integer) - the ID of the article title (string) - the title of the article lead (string) - the lead of the article (can contain HTML, e.g. tag) url (string) - the URL of the article tags (list of dictionaries or None) [1]: each dictionary represents one tag. The tag dictionary contains the following: domain_id (string) [2] - the ID of the domain id (string) - the ID of the tag lang (string) - the language of the tag tag (string) - the tag itself, e.g. Kert Kingo (a name) translitted_name (string) - a modified version of the tag, e.g. kert-kingo rawBody (string) - the raw text of the article (contains HTML) bodyText (string) - clean article text (stripped from HTML) publishDate (string) - published date & time of the article categoryPrimary (dictionary or empty list) - the dictionary contains the following information: categoryId (integer) - the ID of the category categoryName (string)- the name of the category (e.g. World) channelId (integer) - the ID of the channel OR articleId (integer) - the ID of the article categoryId (integer) - the ID of the category categoryName (string)- the name of the category (e.g. World) categoryPrimary (boolean) - unknown categorySort (integer) - unknown categoryUrl (string) - the URL of the category categoryVisible (boolean) - unknown channelId (integer) - the ID of the channel channelUrl (string) - the URL of the channel (e.g. 'https://sport.delfi.ee') directoryName (string) - unknown parentId (integer) - unknown channelLanguage (string or None) [3] - the language of the channel categoryLanguage (int or None) [4] -unknown commentCount (int) [5] - the number of comments relatedArticles (list of integers) - a list of related articles' ID's

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    Authors: Shekhar, Ravi; Pollak, Senja; Pelicon, Andraž; Matthew, Purver; +1 Authors

    This dataset is an archive of reader comments on the Ekspress Meedia news site from 2009-2019, containing approximately 31M comments, mostly in the Estonian language, with some in Russian. Description of the Datasets. There are 11 CSV files: comments_2009.csv contains 2 898 438 comments from the year 2009 comments_2010.csv contains 2 377 591 comments from the year 2010 comments_2011.csv contains 2 729 389 comments from the year 2011 comments_2012.csv contains 3 372 776 comments from the year 2012 comments_2013.csv contains 3 289 393 comments from the year 2013 comments_2014.csv contains 3 195 502 comments from the year 2014 comments_2015.csv contains 3 202 592 comments from the year 2015 comments_2016.csv contains 2 848 624 comments from the year 2016 comments_2017.csv contains 2 838 075 comments from the year 2017 comments_2018.csv contains 3 194 597 comments from the year 2018 comments_2019.csv contains 1 526 755 comments from the year 2019 May In sum: 3 1473 732 comments Columns: comment_id (string) - the ID of the written comment article_id (string) - the ID of the article for which the comment was written created_time (string) - the time and date of the comment subject (string) - the title of the comment reply_to_comment_id (string) - the parent comments ID content (string) - the comment itself is_anonymous (string) - 1 if the comment was published anonymously 0 if the comment was published by a registered user is_enabled (string) - 1 if the comment was published (online) 0 if it wasn’t published Questionable field: not all have been manually moderated No additional information from the moderators channel_language (string) - the language of the channel: 'nat' for Estonian, 'rus' for Russian create_user_id (string) - the user ID of the commentator '0' for all blocked comments. moderated_by (string) - the ID of the moderator

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
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    CLARIN.SI repository
    Other ORP type . 2021
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
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      CLARIN.SI repository
      Other ORP type . 2021
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    Authors: Meidla, Tõnu; Hang, Tiit; Hints, Olle; Kaljo, Dimitri; +7 Authors

    Geoloogiline ajaskaala 2019 on IUGSi Rahvusvahelise Stratigraafia Komisjoni poolt kinnitatud kronostratigraafilise skeemi (versioon 2019/05) eestindatud versioon. Võrreldes ajaskaala eelmise versiooniga (2018/08) on täpsustatud Kesk-Pleistotseeni alumise piiri vanust.

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    https://doi.org/10.15152/geo.4...
    Other ORP type . 2020
    License: CC BY
    Data sources: Datacite
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      https://doi.org/10.15152/geo.4...
      Other ORP type . 2020
      License: CC BY
      Data sources: Datacite
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  • Authors: Meidla, Tõnu; Aren, Mariliis; Hang, Tiit; Hints, Olle; +9 Authors

    Geoloogiline ajaskaala 2020 on IUGSi Rahvusvahelise Stratigraafia Komisjoni poolt kinnitatud kronostratigraafilise skeemi (versioon 2020/03) eestindatud väljaanne. Stratigraafiliste üksuste nimed on kinnitanud Eesti Stratigraafia Komisjon ning need on soovituslikuks kasutamiseks kõigis eestikeelsetes vastavaid termineid kasutavates väljaannetes. Võrreldes ajaskaala eelmise versiooniga (https://doi.org/10.15152/GEO.478) on lisandunud Chiba lade (ingl k Chibanian Stage), mis asendab Kesk-Pleistotseeni nime, ning täpsustatud Chiba, Hilis-Pleistotseeni ja Hauterive'i lademe alumise piiri vanust. Lisaks on tehtud tehnilisi parandusi.

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    Authors: Hang, Tiit; Veski, Siim; Heinsalu, Atko; Nikolai, Vassiljev; +3 Authors

    Esitatu on uus Eesti Holotseeni setete stratigraafiline skeem. Erinevalt endisest (skeemil parempoolne tabel), 1993. aastal kinnitatud ja 1995. aastal publitseeritud õietolmu koosluste muutustel põhinevast skeemist, on uus kolmikjaotusega skeem sarnaselt rahvusvahelisele skeemile klimatostratigraafiline. Selle aluseks on maismaasetete õietolmu andmetest tuletatud (modelleeritud) juuli keskmise temperatuuri muutused. Andmetest nähtub Alam-Holotseeni ehk Grööni ea (11700–8200 kalibreeritud aastat tagasi (kal. a)) juuli keskmise temperatuuri tõusutrend kuni jahenemisepisoodini 8200 kal. a. Kesk-Holotseeni ehk Northgripi iga (8200–4200 kal. a) iseloomustab kliima optimum. Ülem-Holotseenis ehk Meghalaya eal (alates 4200 kal. a) on juuli keskmine temperatuur olnud kõikuv, kus tuntumad sündmused on olnud Keskaegne soojenemine ja nn Väike Jääaeg ning kaasaegne temperatuuri tõusutrend. Teiseks oluliseks erinevuseks varasema Eesti Holotseeni stratigraafilise skeemiga on uus, kalibreeritud ajaskaalal (kal. a) põhinev kronoloogiline raamistik. Varasema Holotseeni stratigraafilise skeemi kronoloogia põhines raadiosüsiniku meetodi dateeringute kalibreerimata vanustel radiosüsiniku aastates enne tänapäeva (14C a.t.), kus tänapäeva all mõeldi kokkuleppeliselt aastat 1950. Radiosüsiniku aasta pikkus ei vasta kalendriaastale ja neid tuleb töödelda ehk kalibreerida, et leida vastavad vanused kalendriaastates. Omakorda kalendreid on kasutusel mitmeid ja/või mõistetakse null-aastat erinevalt ‘tänapäevast’, mistõttu praktikas on kasutatud dateerimismeetodile viitavat kalibreeritud ajaskaalat (n. AMS kal. a). Kronoloogiline taust uuemates Eesti Holotseeni setete uuringutes baseerub kiirend-mass-spektromeetri (AMS) radiosüsinikumeetodi dateeringute põhisel kalibreeritud (kal. a) ajaskaalal ning vastava andmestiku rööbistamisel Gröönimaa jääsüdamiku (NGRIP) ajaskaala ja sündmusstratigraafiaga. Holotseeni ladestiku kolmikjaotuse kronoloogilised piirid ning stratotüüpidele toetuvad nimetused Grööni, Northgripi ja Meghalaya (ingl. k. Greenlandian, Northgrippian, Meghalayan) on ühtlustatud rahvusvahelise Holotseeni stratigraafilise skeemiga, mis kinnitati 2018. aastal Rahvusvahelises Stratigraafia Komisjonis. Läänemere setete jaotus uues Holotseeni skeemis baseerub rahvusvaheliselt tunnustatud Läänemere arengustaadiumidel ja nende piiride kronoloogial. See on ühelt poolt tingitud raskustest Läänemere arengustaadiumide defineerimisel, mis traditsiooniliselt baseerub soolsuse muutustel. Need muutused on Eesti pikal rannajoonel aga pigem gradatsioonilised kui üheaegsed. Teiseks on Holotseeni Läänemere geoloogia uuringud Eestis suunatud valdavalt rannajoone muutustele, st. suhtelise veetaseme muutustele eelkõige transgressiivsete ja regressiivsete veetasemete ja nende vanuste määramisele, mitte niivõrd staadiumide piiride kronoloogia küsimustele. Erinevalt varasemast Eesti Holotseeni stratigraafilisest skeemist pakub uus skeem ka Esiaja periodiseerimist. Sellist lähenemist peeti mõistlikuks kuna Eestis toimib väga tihe arheoloogide ja loodusteadlaste koostöö, kus huvi on mõlemapoolne: arheoloogia aitab lahendada kronoloogia probleeme ning loodusteaduslikud meetodid annavad maastike mõistmise ja arengu võtme. Oluliseks on märkida, et nii maismaa kui meresetete jaotus ja piiride kronoloogia ei baseeru kindlatel stratotüüpsetel läbilõigetel vaid on üldistus väga paljude läbilõigete uuringutest.

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    https://doi.org/10.15152/geo.4...
    Other ORP type . 2019
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      Other ORP type . 2019
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    Authors: Meidla, Tõnu; Hang, Tiit; Hints, Olle; Kaljo, Dimitri; +7 Authors
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    https://doi.org/10.15152/geo.2...
    Other ORP type . 2019
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      https://doi.org/10.15152/geo.2...
      Other ORP type . 2019
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