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.
367
datasets available to search
ShareScore release 0.9.0
Dataset results
367 results for “finnish”
References to Qing China Technology and Industry in Finnish Technical Journals 1880-1912
<p>Dataset providing references to the Finnish and Swedish technological journal articles 1880-1912 used for analysis in the peer-reviewed journal article: Mats Fridlund & Matti La Mela, ”Between Technological Nostalgia and Engineering Imperialism: Digital History Readings of China in the Finnish Technoindustrial Public Sphere 1880-1912”, <em>Tekniikan Waiheita</em> 37 (2019):1"</p>
Linked collectors and determiners for: Botanic Garden of the Finnish Museum of Natural History.
Natural history specimen data linked to collectors and determiners held within, "Botanic Garden of the Finnish Museum of Natural History". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/83d36270-e4ac-11de-ad5c-e0ddf866799d">https://bionomia.net/dataset/83d36270-e4ac-11de-ad5c-e0ddf866799d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/83d36270-e4ac-11de-ad5c-e0ddf866799d">https://gbif.org/dataset/83d36270-e4ac-11de-ad5c-e0ddf866799d</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A second update to the checklist of Finnish long-legged flies (Diptera: Dolichopodidae), with a re-evaluation of the status of Hydrophorus callosoma Frey, 1915.
Natural history specimen data linked to collectors and determiners held within, "A second update to the checklist of Finnish long-legged flies (Diptera: Dolichopodidae), with a re-evaluation of the status of Hydrophorus callosoma Frey, 1915". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d30a4943-1366-49eb-b781-9429528d5929">https://bionomia.net/dataset/d30a4943-1366-49eb-b781-9429528d5929</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d30a4943-1366-49eb-b781-9429528d5929">https://gbif.org/dataset/d30a4943-1366-49eb-b781-9429528d5929</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Additions to the list of Finnish Bibionomorpha (Diptera, Nematocera).
Natural history specimen data linked to collectors and determiners held within, "Additions to the list of Finnish Bibionomorpha (Diptera, Nematocera)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ba3d7313-be25-4775-b4cf-5bb207f905b4">https://bionomia.net/dataset/ba3d7313-be25-4775-b4cf-5bb207f905b4</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ba3d7313-be25-4775-b4cf-5bb207f905b4">https://gbif.org/dataset/ba3d7313-be25-4775-b4cf-5bb207f905b4</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Types of the New World Stigmoderini (Coleoptera: Buprestidae) deposited in Finnish Museum of Natural History, Helsinki (Buprestidae: Buprestinae: Stigmoderini).
Natural history specimen data linked to collectors and determiners held within, "Types of the New World Stigmoderini (Coleoptera: Buprestidae) deposited in Finnish Museum of Natural History, Helsinki (Buprestidae: Buprestinae: Stigmoderini)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/178bce7d-8a24-4732-89e1-278b99dd433a">https://bionomia.net/dataset/178bce7d-8a24-4732-89e1-278b99dd433a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/178bce7d-8a24-4732-89e1-278b99dd433a">https://gbif.org/dataset/178bce7d-8a24-4732-89e1-278b99dd433a</a>. Formatted as a Frictionless Data package.
Neighborhood classification (20 biggest Finnish cities)
<p>Neighborhood classification for the 20 biggest cities in Finland, created from 250x250 m grid cells and data on the type of most typical buildings, the construction year of the neighborhood, and information on whether the neighborhood belongs to a city center. Includes seven classes of neighborhood types: centers (ClassId 1), blocks of flats from the 1950s and before (ClassId 2), blocks of flats from the 1960s and 1970s (ClassId 3), blocks of flats from the1980s and 1990s (ClassId 4), blocks of flats from the 2000s (ClassId 5), low-rise neighborhoods built before the 2000s (ClassId 6), and low-rise neighborhoods built after 2000 (ClassId 7). Each separate neighbourhood has an unique identifier (NeighborhoodId).</p>
Finnish cooperatives active in the forestry and real estate sector
<p>58 cooperatives incorporated in Finland (osuuskunta / osk) active in the forestry or real estate business, with name and business ID (y-tunnus).</p> <p>The companies have been identified by searching all 200+ cooperatives in the agriculture or real estate field as listed on OpenCorporates and manually identifying those most likely to do business relevant for climate change and climate sink preservation (industry codes 02100, 02400, 68201, 68202, 68209 in Finland TOL 2008). Some extra notes were added manually, including an URL with more information.</p> <p>This is a first version of the dataset. Future versions may include more companies and more extracts from the trade register (PRH).</p>
Dialectal Finnish Generators
<p>Hämäläinen, M., Partanen, N., Alnajjar, K., Rueter J. & Poibeau T. (2020). Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity. In <em>Proceedings of the 11th International Conference on Computational Creativity</em></p> <p> </p> <p>OpenNMT-tf models for generating dialectal Finnish from standard Finnish. The input should be a chunk of 3 words, split into characters and separated by an underscore (<em>koira juoksee kovaa</em> should be <em>k o i r a _ j u o k s e e _ k o v a a</em>). The flag model also expects a dialect name to be appended to the input (<em>Kainuu k o i r a _ j u o k s e e _ k o v a a).</em></p> <p>Take a look at the README.md for more information.</p>
Microsatellite data of Vincetoxicum hirundinaria offspring and their inferred mother plants from 13 populations in the South-Western Finnish Archipelago
<p>Fragmented landscapes may have implications for the genetic structure of populations and for the microevolution of plant species. In particular, landscape fragmentation and/or population isolation might affect the evolution of plant mating systems. Here, we study the consequences of landscape fragmentation on the genetic structure of populations of a perennial herb, <i>Vincetoxicum hirundinaria </i>with a mixed mating system. Our study area, the south-western Finnish archipelago, was formed after the glacial ice sheet started to retreat 12 000 years ago. Due to the isostatic land uplift following the glacial retreat, suitable habitats have been formed gradually, and as a consequence, populations of <i>V. hirundinaria</i> differ in age, size and their degree of isolation in the area. We hypothesized that a mixed-mating system has been selected for in these populations due to the advantage of self-fertilization in newly colonized areas and the advantage of outcrossing in adaptation to heterogeneous environments. To test this hypothesis, we collected seeds of open-pollinated flowers from 13 <i>V. hirundinaria</i> populations differing in size, age and isolation, and used 15 microsatellite markers to perform progeny-array analysis to estimate population-level outcrossing rates, population genetic indices and population structure. We found that <i>V. hirundinaria</i> is almost completely outcrossing in the study area with no signs of past self-fertilization and/or mating among relatives. The overall low inbreeding coefficients indicate that even in small populations mating among relatives is rare. High allelic richness of both maternal and offspring genotypes as well as limited genetic differentiation among the studied populations indicate strong gene flow among them. Our findings suggest that <i>V. hirundinaria</i> has successful seed and pollen dispersal among populations that has allowed colonization of new habitats in this fragmented landscape and led to a genetically well-mixed group of populations at the scale of the study.</p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2023
<p>This dataset includes the fifth and final year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2019-2023 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil health.</p> <p>This dataset is an update of the final monitoring year and includes summaries of the previous year measurements. The full measurements for previous years can be found in: https://zenodo.org/communities/carbonaction/ .</p> <p>The 2023 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), chlorophyll, microbial activity, root biomass</li> <li>chemical properties: soil nutrients, change in nutrient pools over time</li> </ul> <p> </p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2021
<p>This dataset includes the third year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2020-2024 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity.</p> <p>The dataset will be updated annually, updates are published as separate datasets in https://zenodo.org/communities/carbonaction/ . The 2021 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate, aggregate stability</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), chorophyll, microbial activity Solvita CO2 burst</li> <li>chemical properties: change in soil nutrients 2019 to 2021, change in OM </li> </ul> <p>This updated version includes the change in soil nutrients and updated soil infiltration rates as the soil texture was determined more accurately. In addition the biomass calculation was updated to include the row spacing of certain crops (12,5 cm). </p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2020
<p>This dataset includes the second year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2020-2024 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity.</p> <p>The dataset will be updated annually, updates are published as separate datasets in https://zenodo.org/communities/carbonaction/ . The 2020 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), Solvita CO2 burst microbial activity</li> </ul> <p>Compared to the previous release, the biomass amounts were updated to take into account the row spacing (12,5 cm). </p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2022
<p>This dataset includes the third year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2020-2024 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity.</p> <p>The dataset will be updated annually, updates are published as separate datasets in https://zenodo.org/communities/carbonaction/ . The 2022 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), chlorophyll, microbial activity (Solvita)</li> <li>chemical properties: soil nitrogen pools</li> </ul> <p>Compared to the previous version, the updated version has a corrected calculation for biomass, to take into account row spacing (12,5 cm). </p> <p>Site photos and updated water infiltration rates will be published in an updated release in winter 2024.</p>
Finnish referative constructions and subordinate että clauses in the Bible translations 1548-2020, coded verses
<p>Aineisto sisältää tiedot vuoden 1548 Uudesta testamentista haettujen referatiivirakenteiden ja <em>että</em>-lauseiden paikoista, jakaumasta ja matriisilauseiden verbeistä sekä vastineista uudemmissa raamatunkäännöksissä.</p> <p>Lähteet:</p> <p>Biblia. 1642. <em>Biblia</em>. <em>Se on: coco pyhä Ramattu, suomexi</em>. Stockholm: Henrich Keyser.</p> <p>Biblia. 1776. <em>Biblia</em>. <em>Se on: coco pyhä Ramattu, suomexi</em>. Turku: Johan Christopher Frenckell.</p> <p>Raamattu. 1938. <em>Pyhä Raamattu</em>. Sortavala: Suomen kirkon sisälähetysseura.</p> <p>Raamattu. 1992. <em>Pyhä Raamattu</em>. Helsinki: Suomen Pipliaseura.</p> <p><em>Se Wsi Testamenti</em> = The Morpho-Syntactic Database of Mikael Agricola's Works version 1.1, Korp. The database is available through the Korp Interface at <a href="http://korp.csc.fi/">http://korp.csc.fi/</a>. Access location: <a href="http://urn.fi/urn:nbn:fi:lb-2019121803">http://urn.fi/urn:nbn:fi:lb-2019121803</a>.</p> <p><em> </em><em>Uusi </em><em>testamentti 2020</em> – <em>Raamattu mobiilikäyttäjille</em>. 2020. Helsinki: Suomen Pipliaseura. </p>
Input data and modelling files for a model of the Finnish energy system with focus on cascade hydropower and the addition of a hydrogen storage system realised in Backbone
<p>The files show the input data and modelling files used for the publication "Cascade hydropower integration in a techno-economic power system model: A study of Finnish hydropower plants" (Kiehle et al., 2025 - submitted). The paper's <a title="Preprint on SSRN" href="https://dx.doi.org/10.2139/ssrn.4971685" target="_blank" rel="noopener">preprint</a> is available. A model of the Finnish energy system in 2022 was built in the techno-economic modelling framework Backbone (available on GitLab: https://gitlab.vtt.fi/backbone/backbone). The focus was on implementing cascading hydropower plants in a power system model, including individual reservoirs, generation and spillage capacities. </p> <p>"ModellingFiles_Debug" are GAMS-based data that can be used to run the scenario in Backbone or display the results. "ModellingResults" are gdx files that purely list the results. Those are also presented in more detail in the scientific paper. The Excel files present the input data used for modelling and can also be used to run the model. </p>
NewsEye / READ AS training dataset from Finnish Newspapers (19th C.)
<p>The dataset comprises finnish newspaper pages from 19th century with carefully annotated text. The page images were provided by the <a href="https://www.kansalliskirjasto.fi/en/">National Library Finland</a> (NLF) and comprise 200 pages (training set). The data are formed according to the PAGE format (cf. Cf. <a href="https://github.com/PRImA-Research-Lab/PAGE-XML/">https://github.com/PRImA-Research-Lab/PAGE-XML/</a>) and were produced with the <a href="http://read.transkribus.eu/">Transkribus </a>platform with support of the <a href="http://newseye.eu/">NewsEye</a> and the <a href="http://read.transkribus.eu/">READ </a>project. The guidelines with which the AS GT was created are uploaded here as well.</p>
Finnish War Letter Emotion Lexicon
<p>The XLSX file contains (1) a manually constructed list of Finnish emotion words in the context of World War 2, (2) the frequency of each emotion word in the Finnish War Letter Collection, and (3) information on whether the emotion word is included in the filtered FEIL emotion lexicon (emotion intensity score >0.6). The construction of the Finnish War Letter Lexicon is described in: Turunen, R., Taskinen, I., Uusitalo, L. & Kivimäki, V. (2022). “Mining Emotions from the Finnish War Letter Collection, 1939–1944”. <em>Proceeding of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022)</em>, Uppsala, Sweden, March 15–18, 2022.</p>
Semantically tagged Finnish Wikipedia 2017
<p><strong>Description of FI Wikipedia 2017 tagging</strong></p> <p><strong>Kimmo Kettunen</strong></p> <p><strong>University of Eastern Finl</strong><strong>and</strong></p> <p>The tagged data contains the texts of the Finnish Wikipedia of 2017. It has been first tagged syntactically in the Language Bank of Finland using the available UD2 tagger version of the Mylly service (https://mylly.rahtiapp.fi/home).</p> <p>Semantic tags to the UD2 parse have been added using a lexical semantic tagger FiST (Kettunen, 2019, <a href="https://aclanthology.org/W19-0306/">https://aclanthology.org/W19-0306/</a>).</p> <p>This published version has been condensed to a format where each analysed word contains the</p> <p>1. original running word form,</p> <p>2. lemma of the word form from UD2 parse,</p> <p>3. part-of-speech of the word from FiST</p> <p>4. semantic tag(s) for the word from FiST, and</p> <p>5. syntactic function of the word from UD2 parse.</p> <p>Semantic tags used are explained in this UCREL Semantic Analysis System (USAS) document: <a href="https://ucrel.lancs.ac.uk/usas/USASSemanticTagset.pdf">https://ucrel.lancs.ac.uk/usas/USASSemanticTagset.pdf</a></p> <p>Tagging includes all the semantic tags available for the word, as FiST does not perform disambiguation. Unknown words for the tagger are marked with tag Z99. Punctuation is tagged with PUNCT and numbers with NUMB. Lines beginning with # are output of UD2 and contain document, paragraph and sentence information.</p> <p>The output contains 6 415 027 sentences and 98.81 million lines. Lexical coverage of the semantic tagging is 76.59 %</p> <p><strong>Examples of output</strong></p> <p># newdoc</p> <p># newpar</p> <p># sent_id = 1</p> <p># text = Amsterdam</p> <p>Amsterdam#Amsterdam#Proper#Z2 root</p> <p># newpar</p> <p># sent_id = 2</p> <p># text = Amsterdam on Alankomaiden pääkaupunki.</p> <p>Amsterdam#Amsterdam#Proper#Z2 nsubj:cop</p> <p>on#olla#Verb#A3+ A1.1.1 M6 Z5 cop</p> <p>Alankomaiden#Alankomaat#Proper#Z2 nmod:poss</p> <p>pääkaupunki#pääkaupunki#Noun#M7 root</p> <p>. PUNCT</p>
Finnish Santa, Nuuttipukki
Finnish santa, polycount about same as first Quake's character models and similarly unwrapped to two halves Source: Objaverse 1.0 / Sketchfab
Finnish coins before Euro
These coins were used in Finland between 1992 - 2001. Photos taken with D5300 + 40mm Micro Nikkor. Models created with Agisoft + Blender. Source: Objaverse 1.0 / Sketchfab
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.