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”
Genetic variation in GC and CYP2R1 affects 25-hydroxyvitamin D concentration and skeletal parameters: a genome-wide association study in 24-month-old Finnish children
Open the record for dataset details and reuse information.
Loneliness and well-being in Finnish immigrants: A multimodal dataset from wearables and passive data collection
Open the record for dataset details and reuse information.
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2019
<p>This dataset includes the first 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. 26 of the farms were sampled during 2019 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. New datasets will be published in https://zenodo.org/communities/carbonaction/ . Includes data on:</p> <ul> <li>soil properties (CEC, pH, OM)</li> <li>nutrients: P, K, S, Ca, Mg, Cu, Zn, B, Mn (Fe, Al, P-saturation)</li> <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 (%)</li> </ul> <p> </p> <p> </p>
Information skills of Finnish basic education teachers
<p>The data was collected 2017 - 2019 using the ICT skill test (developed in the Research Unit for the Sociology of Education; e.g., Kaarakainen, 2019, http://doi.org/10.5281/zenodo.2621306) in Finland. The data consists of 4,988 teachers. Of those 24% are male and 76% are female teachers, aged 24-66 years (M = 46, SD = 9.5). </p> <p>THE test collected teachers’ background information (age, gender, postal code of place of employment, information on whether the teacher is a class or subject teacher) and teachers' responses to a questionnaire about their digital usage habits ("How often do you use digital technologies for... maintaining social relationships/communicating/running daily errands/following the news/ browsing the Internet for Information/creating digital content/sharing digital content/playing digital games/digital entertainment/learning” with a scale 0 = “never”, 1 = “sometimes, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”.) Digital activity is the sum variable of these usage purposes. Digital self-efficacy was measured by asking teachers to indicate the extent to which they see themselves as competent in the digital skills related to their work. Teachers were also asked if they had received adequate in-service training in digital skills in relation to the requirements of the job.</p> <p>A sum variable “information skills” was formed by summing up the items from the ICT skill test related to following themes: Retrieving information , processing information, and sharing information. A variable "urbanisation level" refers to the statistical classification of Finnish municipalities of the place of teachers' employment (school). Value 1 refers to rural areas, value 2 to semi-urban areas and value 3 to urban areas. Teacher type, instead, refers to the level of education of teaching, i.e., 0 = basic education and 1 = secondary education.</p>
Data on the Finnish pine wood nematode surveys 2000-2018
<p>These files contain the data needed for assessing the confidence in pest freedom gained in the Finnish pine wood nematode (PWN) surveys in 2000-2018 using the FinnSURV-Assess PWN application.</p> <p>The contents of the files are the following:</p> <ul> <li>1.1_N_inspected_sites_wood_FI.csv: The number of inspected sites in the wood sampling component of the survey</li> <li>1.2_N_inspected_sites_Monochamus_FI.csv: The number of inspected sites in the <em>Monochamus</em> trapping component of the survey</li> <li>1.2_n_samples_per_inspected_site_Monochamus_FI.csv: The number of samples per inspected site in the <em>Monochamus</em> trapping component of the survey</li> <li>1.3_Area_with_host_plants_FI.csv: The area covered with PWN host plants within the area for which the results of the surveys will be generalized, km<sup>2</sup></li> <li>1.4_Area_of_entry_sites_FI.csv: The area of sites in with elevated probability of PWN introduction, i.e. harbors, industrial areas and landfills, km<sup>2</sup></li> </ul> <p>In all the files, the first row has the names of the regions included and the first column has the years considered, and the data in the table is arranged accordingly.</p>
Atmospheric aerosol, gases and meteorological parameters measured during the LAPSE-RATE campaign - Finnish Meteorological Institute data sets
<p>This publication summarizes the measurements and data sets generated by Finnish Meteorological Institute (FMI) during the LAPSE-RATE that took place in the San Luis Valley of Colorado during the summer of 2018. These data sets offer observations of atmospheric aerosols and gases at the surface and in vertical column acquired by FMI rotary-wing Unmanned Aerial System and FMI ground module. </p>
Prosody annotated recited poetry in Finnish
<p>This dataset contains the audio for four poems recited in Finnish in the wav folder and their corresponding transcription with prosodic annotation in the text folder. The audio files contain a single verse each and their order has been shuffled. </p> <p>Please, cite the following paper, if you use the data:</p> <p>Hämäläinen, M., & Rueter, J. (2020). <a href="https://tuhat.helsinki.fi/ws/portalfiles/portal/159764495/runonlausunta.pdf">Runonlausunnan prosodia ja sen mallintaminen koneellisesti puhesynteesillä</a>. In <em>Материалы Международного образовательного салона </em>(pp. 5-17)</p>
FIGURES 9–14 in Finnish Pipunculidae (Diptera) studies Part I: Taxonomic notes on Cephalops Fallén, 1810, Pipunculus Latreille, 1802 and Tomosvaryella Aczél, 1939
FIGURES 9–14. Surstyli in strictly dorsal view of male Pipunculus campestris. Scale bars = 0.1mm.
THE PHONETIC SYSTEM OF UZBEK, FINNISH, ENGLISH AND DIFFERENCES BETWEEN THE VOWEL SOUNDS OF THIS THREE LANGUAGES.
Open the record for dataset details and reuse information.
Multiway Alignment of Twitter networks from 2019 and 2023 Finnish Parliamentary Elections
<p>This dataset includes partition identifiers obtained from retweet networks collected before the 2019 Finnish Parliamentary Elections and before the 2023 Finnish Parliamentary Elections from conversation streams related to Finnish political parties (SDP, National Coalition, Finns Party, Green Party, Left Party, Center Party) and salient topics (economic policy, social security, immigration, climate, education).</p> <p>The column headers in the two files are the same and indicate the topic of the retweet network. Each row in one file represents all the memberships of one particular Twitter account for the corresponding networks. Memberships are obtained by partitioning each retweet network with METIS algorithm into two similar-sized groups with minimal retweet activity between them. For each column, one partition includes all users marked with 0, whereas the other partition includes all users marked with 1. The order of the numbering is random. Missing values mean that the account was not found in the corresponding network.</p> <p>The dataset does not contain any identifying information or original raw data from the Twitter platform. Anonymization was achieved by randomly shuffling the order of the users so that, within each file, a row index identifies a user. Importantly, there no correspondence can be implied between users in 2019 and users in 2023: in general, the user at row 1 in the 2019 dataset is not the same as the user at row 1 in the 2023 dataset.</p>
Linked collectors and determiners for: Finnish Insect Database.
Natural history specimen data linked to collectors and determiners held within, "Finnish Insect Database". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3b301884-51b9-443f-b63c-47feeccfb89f">https://bionomia.net/dataset/3b301884-51b9-443f-b63c-47feeccfb89f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3b301884-51b9-443f-b63c-47feeccfb89f">https://gbif.org/dataset/3b301884-51b9-443f-b63c-47feeccfb89f</a>. Formatted as a Frictionless Data package.
Error analysis of surname rendering in Finnish-to-English machine translation
<p>This surname list is a part of the dataset that I used in my master’s thesis “Error analysis of surname rendering in Finnish-to-English machine translation”. My master thesis is deposited at the Helsinki University Library.</p> <p>The surname list was extracted from the The Finnish News Agency Archive 2019–2021 (stt-fi-2019-2021-src). Permission to access the corpus can be obtained through the Language Bank of Finland. Corpus cannot be shared with third parties even if permission is granted.</p> <p>I cannot share the full dataset, as it contains sentences from the corpus.</p> <p>I am sharing only the list of surnames that I analyse in my master's thesis. The list contains 4,000 surnames extracted from the corpus. The list also contains the identification numbers of news articles from which the surnames were extracted and other metadata. Anyone with the permission to use the The Finnish News Agency Archive 2019–2021 corpus can use the id number to identify the news articles and recreate the dataset.</p> <p>Reference:</p> <p>STT. (2022). Finnish News Agency Archive 2019-2021, source [text corpus]. Kielipankki. Retrieved March 10, 2023, from http://urn.fi/urn:nbn:fi:lb-2022030202</p>
Atlas of the Finnish Literature project dataset
<p>This dataset contains data for the project <em>Atlas of the Finnish Literature</em>. The data contains original plain text files containing Finnish literature from the late 19th and early 20th century, TEI/XML-versions of these same files converted by the project, and the same TEI/XML files with named entity recognition and named entity linking data added. In addition, there are JSON-exported, simplified versions of the final data files.</p>
A Finnish Community Randomized Psychotherapy Effectiveness Study for Major Depression
ClinicalTrials.gov study NCT02314767. IPD Sharing: Not stated. Countries: 0. Publications: 1.
The Use of Worktime Planning Tools in the Finnish Public Sector. A Quasi-experimental Study (PLANTOOLS)
ClinicalTrials.gov study NCT02775331. IPD Sharing: NO. Countries: 0. Publications: 10.
Finnish AntiCoagulation in Atrial Fibrillation (FinACAF)
ClinicalTrials.gov study NCT04645537. IPD Sharing: NO. Countries: 0. Publications: 7.
The association of nine amino acids with cardiovascular events in Finnish men in a 12-year follow-up study
Open the record for dataset details and reuse information.
Single-nucleus RNA-sequencing of human subcutaneous adipose tissue biopsies from 84 Finnish participants.
GEO Series GSE249089. Homo sapiens. 84 samples. Type: Expression profiling by high throughput sequencing.
Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 16 Finnish participants.
GEO Series GSE236708. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Hyperglycemia and a Common Variant of GCKR Are Associated with the Levels of Eight Amino Acids in 9,371 Finnish Men
GEO Series GSE32512. Homo sapiens. 204 samples. Type: Expression profiling by array.
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.