Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “Pokémon”
Pokémon Story Corpus
<p>The larger corpus consists of fan written stories about Pokémon. The corpus is sentence and word tokenized. The order of sentences is shuffled for copyright reasons. The smaller corpus is a Pokémon description corpus for the first 151 Pokémon.</p> <p>Sources: https://www.fanfiction.net/ and https://www.giantbomb.com/</p> <p>Please cite the following paper if you use the resources:</p> <p>Hämäläinen, M., Alnajjar, K. & Partanen, N. (2021). <a href="https://researchportal.helsinki.fi/en/publications/nettikorpuksen-avulla-tuotettuja-sanavektorimalleja-pok%C3%A9monien-om">Nettikorpuksen avulla tuotettuja sanavektorimalleja Pokémonien ominaisuuksien kuvaamiseksi</a>. In Saarikivi, T. & Saarikivi, J. (eds.) <em>Turhan tiedon kirja — Tutkimuksista pois jätettyjä sivuja</em>. p. 199-214. SKS Kirjat</p> <p><a href="https://www.researchgate.net/publication/354088508_How_Cute_is_Pikachu_Gathering_and_Ranking_Pokemon_Properties_from_Data_with_Pokemon_Word_Embeddings">Translation of the paper in English</a></p> <p> </p>
Pokémon Word Embeddings
<p>Word vector models for Pokémon (poke2vec). Word2Vec, FastText and Meta4Meaning models trained on a big Pokémon corpus.</p> <p>code.zip files has examples of how to load and use the models.</p> <p>Please cite the following paper if you use the resources:</p> <p>Hämäläinen, M., Alnajjar, K. & Partanen, N. (2021). <a href="https://researchportal.helsinki.fi/en/publications/nettikorpuksen-avulla-tuotettuja-sanavektorimalleja-pok%C3%A9monien-om">Nettikorpuksen avulla tuotettuja sanavektorimalleja Pokémonien ominaisuuksien kuvaamiseksi</a>. In Saarikivi, T. & Saarikivi, J. (eds.) <em>Turhan tiedon kirja — Tutkimuksista pois jätettyjä sivuja</em>. p. 199-214. SKS Kirjat.</p> <p><a href="https://www.researchgate.net/publication/354088508_How_Cute_is_Pikachu_Gathering_and_Ranking_Pokemon_Properties_from_Data_with_Pokemon_Word_Embeddings">English version of the paper</a></p>
The Value of Virtual Fictions: from Pokémon to NFTs
<p>Talk at the <a href="https://www.digital-philosophy.org/">Philosophy [in:of:for:and] Digital Knowledge Infrastructures</a> online workshop (08/09/2022).</p>
Supplementary materials for the article on 'How to express evolution in English Pokémon names', published in Linguistics
<p>The zip-archive contains two folders, "Graphics" and "statistics". For the statistical analyses, cf. the Rdm-file in the "statistics" folder. The data is stored in csv-files. For a description of the data, cf. the publication itself.</p>
Pokémon Dataset
<p>Dataset que contiene todos los Pokémon hasta la octava generación y ciertas características, como número, nombre, tipo, URL, ratio de captura y otras estadísticas de defensa y ataque.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.