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367 results for “Finnish”

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zenodo52/100

Murreviikko: an Annotated and Normalized Corpus of Dialectal Finnish Tweets

<p>Murreviikko (literally 'Dialect week') is a campaign founded in the University of Eastern Finland to promote the use of Finnish dialects in social media. It started in 2020 and takes place mid-October.</p> <p>The original data was collected from Twitter with the search word murreviikko ('dialect week') and hashtag #murreviikko separately for 2020, 2021 and 2022. The current dataset combines all the original collections.</p> <p>The tweets are dialectologically annotated on two levels: following the East-West division of Finnish dialects, and following a seven-way division of Finnish dialects (South-West, Häme, Southern Ostrobothnia, Central and Northern Ostrobothnia, Far North, Savo, and South-East), appended with the Helsinki slang. There is also a class for dialectal tweets, which are not discernible (NA) because of contrasting or scarce dialectal features.</p> <p>The original tweets are normalized to a phonetic standard, but word order is not altered, or grammar rules of standard Finnish followed otherwise. This means that for instance standard Finnish possessive suffixes (minun kirja-ni 'my book-my') are not added if they are not present in the original tweet (minun kirja). Likewise, dialect words are not corrected to the standard alternative, even if such words would exist (pruukata > pruukata instead of standard tavata).</p> <p>Following the rules of the Twitter API, this repository only includes the tweet id's, dialect annotations and normalizations. The original tweets are available for scientific use by request, as granted by the European Union’s Digital Single Market directive (2019/790).</p>

opencc-by-4.0May 2023View details →

zenodo52/100

Polarized and nonpolarized Twitter networks from the 2019 Finnish Parliamentary Elections

<p><strong>Polarized and nonpolarized Twitter networks from the 2019 Finnish Parliamentary Elections</strong></p> <p>This dataset includes 183 Twitter retweet networks collected during the 2019 Finnish Parliamentary Elections.</p> <p>The first 150 networks are built around single hashtags, such as #police, #nature, and #immigration. The remaining 33 networks are constructed using a combination of hashtags focused on specific topics like climate change and economic policy.</p> <p>Each filename consists of two parts: the first part indicates whether the network is based on a single hashtag (in lowercase) or a set of hashtags (in uppercase). The second part represents the tweet period.</p> <ul> <li> <p>"p1" corresponds to the pre-election period (March 1 to April 14).</p> </li> <li> <p>"p2" corresponds to the inter-election period (April 15 to May 26).</p> </li> <li> <p>"p3" corresponds to the post-election period (May 27 to July 31).</p> </li> </ul> <p>The nodes in the networks represent anonymized Twitter accounts, and directed ties indicate retweet endorsements on specific topics. Each file contains three columns: retweeter, retweeted, and weight.</p> <p>Please see the references for more details.</p> <p>Network labels, whether they are labeled as controversial, and whether they are based on single or multiple hashtags, can be found in the "networks_info.csv" file.</p> <p>Importantly, the dataset does not contain any identifying information or original raw data from the Twitter platform. Anonymization was achieved by shuffling the order of unique nodes across all networks and assigning each node a new identifier (ID). These new IDs were then applied to the edgelists to obtain the anonymized version.</p> <p>Kindly ensure to reference the original article(s) when utilizing this dataset.</p> <p>Chen, T. H. Y., Salloum, A., Gronow, A., Ylä-Anttila, T., & Kivelä, M. (2021). Polarization of climate politics results from partisan sorting: Evidence from Finnish Twittersphere. <em>Global Environmental Change</em>, <em>71</em>, 102348. <a href="https://doi.org/10.1016/j.gloenvcha.2021.102348">https://doi.org/10.1016/j.gloenvcha.2021.102348</a></p> <p>Salloum, A., Chen, T. H. Y., & Kivelä, M. (2022). Separating polarization from noise: comparison and normalization of structural polarization measures. <em>Proceedings of the ACM on human-computer interaction</em>, <em>6</em>(CSCW1), 1-33. <a href="https://doi.org/10.1145/3512962">https://doi.org/10.1145/3512962</a></p>

opencc-by-4.0Jan 2021View details →

zenodo48/100

Data of the article Analysis of the self-archiving policies of journals in the highest rank category of the Finnish journal classification system within computer science, physics and electronic engineering

<p>The publication forum level three journals representing the three fields of science of computer science, computer science and electrical engineering were identified by utilizing the MinEdu field search filter while searching for the top-ranked journals from the publication channel search (https://www.tsv.fi/julkaisufoorumi/haku.php?lang=en), which is based on Field of Science, Statistics Finland classification (https://www.stat.fi/meta/luokitukset/tieteenala/001-2010/index_en.html). The data were extracted during august 2017 consists of total of 127 individual journals. It is worth noting that circa 30 journals were classified into more than one fields of sciences under scrutiny. First, the journals were divided into representing gold and hybrid model journals. Second, green open access policies of the identified hybrid journals were analyzed using Laakso’s (2014) publisher policy coding framework. Also publishers of the individual journals were identified and subsequently added to the data.</p> <p>NOTE! The data includes the shortest embargo to either institutional or subject repositories. For example, Elsevier had no embargo to opening accepted manuscripts from arXiv subject repository and thus no embargoes to Elsevier's journals are included within this datasheet.</p> <p>Data is in CSV. format</p> <p> </p> <p> </p>

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Dataset results

Murreviikko: an Annotated and Normalized Corpus of Dialectal Finnish Tweets

Polarized and nonpolarized Twitter networks from the 2019 Finnish Parliamentary Elections

Data of the article Analysis of the self-archiving policies of journals in the highest rank category of the Finnish journal classification system within computer science, physics and electronic engineering

Dataset of future district heating energy demand in a Finnish municipality

Data for article: Microplastics in Arctic Waters of the Finnish Sámi Area

Dataset for marine vessel detection from Sentinel 2 images in the Finnish coast

Dataset for Number agreement and dependency length in Finnish dialects

Long-term measurements of aerosol precursor concentrations in the Finnish sub-Arctic boreal forest

SemFi - Finnish Semantic Database with Syntactic Relations

Herbarium specimen image of Verrucaria conformis Nyl. f. rhypontoides Nyl., part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Roccella boryi Delise, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Caloplaca volkii V.Wirth & Vezda, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Cetraria iberica A.Crespo & Barreno, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Lecanora freyi Poelt, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Cladonia iberica Burgaz & Ahti, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Cladonia schofieldii Ahti & Brodo, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Parmelina atricha (Nyl.) P.Clerc, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Parmeliopsis capitata R.C.Harris ex J.W.Hinds & P.L.Hinds, part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Parmelia pokornyi (Zahlbr.) Szatala f. collina Gyeln., part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

Herbarium specimen image of Lecidea morbifera Vain., part of the collection of Finnish Museum of Natural History LUOMUS, University of Helsinki

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