Data

Description: This is an open access electrical impedance tomography dataset. The EIT measurements were collected from a circular body (a flat tank filled with saline) with various choices of conductive and resistive inclusions.

Author(s): Hauptmann A, Kolehmainen V, Mach N, Savolainen T, Seppänen A & Siltanen S 

Description: White and grey matter datasets and segmentations of ten samples from rats’ white matter for serial block-face scanning electron microscopy (SBEM) imaging.

Author(s): Abdollahzadeh A, Belevich I, Jokitalo E, Tohka J & Sierra A 

Description: Airborne multi-instrument measurements of sea ice were made in April 2019 during the winter campaign of the AWI IceBird campaign series. The data consist of five surveys spanning sea ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort Sea. For each flight, the geolocated total (ice+snow) thickness data from an airborne electromagnetic (EM) induction sensor are provided with a point spacing of approximately 5-6 meters. Larger gaps in the trajectories arise from high-altitude calibrations of the EM sensor.

The data are combined with collocated and simultaneous snow depth measurements from an airborne frequency-modulated continuous-wave ultrawideband radar, snow freeboard measurements from an airborne near-infrared laser scanner, and surface temperature measurements from an airborne infrared radiation pyrometer. Each value represents the average within the approximately 40 m diameter footprint of the EM sensor, thus representing a smoothed representation. These values are then used to derive further sea ice parameters such as sea ice bulk density. The trajectory data contain the full and unfiltered data record with quality flags.

Author(s): Jutila A, Hendricks S, Ricker R, von Albedyll L & Haas C

Description: Airborne multi-instrument measurements of sea ice were made in April 2017 as part of the Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project (PAMARCMIP) under the AWI IceBird campaign series. The data consist of four surveys spanning sea-ice covered areas in the Beaufort and Chukchi Seas.

The data are combined with collocated and simultaneous snow depth measurements from an airborne frequency-modulated continuous-wave ultrawideband radar, snow freeboard measurements from an airborne near-infrared laser scanner, and surface temperature measurements from an airborne infrared radiation pyrometer. Each value represents the average within the approximately 40 m diameter footprint of the EM sensor, thus representing a smoothed representation. These values are then used to derive further sea ice parameters such as sea ice bulk density. The trajectory data contain the full and unfiltered data record with quality flags.

Author(s): Jutila A, Hendricks S, Ricker R, von Albedyll L & Haas C

Description: This training dataset is originally designed for the Helsinki Speech Challenge 2024 (HSC2024). While it was created with this challenge in mind, its applications extend far beyond, making it a valuable resource for developing and testing audio algorithms across diverse uses.

The dataset features clean speech samples generated by OpenAI’s text-to-speech model, paired with corresponding recorded signals. These recorded signals are purposefully distorted by real-world effects such as filtering and reverb, offering a realistic testing ground for your audio processing algorithms.

Author(s): Ludvigsen M, Karvonen E, Juvonen M & Siltanen S

Description: Here we demonstrate a novel restraint approach for awake rat resting state functional connectivity studies. Our custom-made 3D printed restraint kit is compatible with a standard Bruker Biospin MRI rat bed, rat brain receiver coil, and volume transmitter coil. The restraint kit together with the instructions for 3D-printing are available upon request. 

Author(s): Stenroos P, Paasonen J, Salo R, Jokivarsi K, Shatillo A, Tanila H & Gröhn O  

Description: This dataset contains X-ray projection images of a keyboard circuit board acquired using a cone-beam computed laminography (CBCL) scanner. The dataset also includes the corresponding .pca metadata file, which contains the essential scanning parameters required for image reconstruction.

The dataset was produced by the Applied Mathematics Research Unit in the Department of Computational Engineering at LUT University, Finland. For more information about the dataset, please contact Tommi Heikkilä at tommi.heikkila@lut.fi or Toni Karvonen at toni.karvonen@lut.fi.

Author(s): Anttalainen S, Heikkilä T, Karvonen T & Kärkkäinen T

Description: The Climate data REcord of STratospheric Aerosols (CREST) is derived from data by six limb and occultation satellite instruments: SAGE II on ERBS, GOMOS and SCIAMACHY on Envisat, OSIRIS on Odin, OMPS on Suomi-NPP, and SAGE III on International Space Station. The merged dataset was generated as a contribution to the European Space Agency project CREST.

All the aerosol climate records cover the time period from October 1984 until December 2023, and they are intended be extended in the future.

Author(s): Sofieva V, Rozanov A & Szelag M

Description: Open data sharing of fMRI data in rats under light anesthesia. The database of resting state-fMRI data from 102 animals measured under light sedation protocol in a 7T scanner. Both raw and preprocessed data are included. The database was acquired by the Kuopio Biomedical Imaging Unit and co-funded by the Research Council of Finland and Horizon 2020 Framework Programme of the European Union (Marie Skłodowska Curie grant agreement No 740264). 

Author(s): Dvorakova L & Gröhn O 

Description: Shapefile point data on pleasant and unpleasant places along everyday active mobility routes that urban residents mapped in five European cities: Helsinki Metropolitan Area (= 1114 respondents), Greater London (=1188), Greater Copenhagen (= 1225), Munich (= 855) and Las Palmas de Gran Canarias (= 582).

Author(s): Korpilo S, Hasanzadeh K, Klein R, Willberg E, Taylor R, Müürisepp K, Olafsson A & Toivonen T

Description: This travel time matrix records travel times and travel distances for routes between all centroids (N = 13132) of a 250 × 250 m grid over the populated areas in the Helsinki metropolitan area by walking, cycling, public transportation, and private car.

Author(s): Fink C, Willberg E & Toivonen T

Description: Photographic dataset of random peppercorns.

This is an open access photographic dataset collected for testing image processing algorithms. The idea is to have sets of different but statistically similar images. The images show randomly distributed peppercorns.

Author(s): Helenius T & Siltanen S

Description: Photographic dataset of playing cards.

This is an open access photographic dataset collected for testing image processing algorithms. The idea is to have sets of identical photos with varying image noise. The dataset consists of seven high-resolution black and white images of playing cards in TIFF file format (*.tif files) with varying noise.

Author(s): Helenius T, Kaupinmäki S, Siltanen S & Villacis D

Description: This dataset is primarily designed for the Kuopio Tomography Challenge 2023 (KTC 2023), but it can be used for generic algorithm research and development in 2D Electric Impedance Tomography (EIT) image reconstruction. The purpose of KTC 2023 is to develop algorithms for electric impedance tomography image reconstruction with limited data. 

Author(s): Räsänen M, Kuusela P, Jauhiainen J, Arif M, Scheel K, Savolainen T & Seppänen A 

Description: This repository holds the spatially enriched Erasmus+ student mobility data from 2014 to 2023. It is based on the official Erasmus+ mobility raw data available from http://data.europa.eu/88u/dataset/erasmus-mobility-raw-data. The spatially enriched Erasmus+ student mobility data covers the period from 2014 to 2023, and is presented as four tabular files.

Author(s): Väisänen T, Malekzadeh M, Inkeröinen O & Järv O

Description: This dataset contains the original data and scripts used for processing and analyzing the data presented in the Journal of Cerebral Blood Flow & Metabolism article “Correlation of zero echo time functional MRI with neuronal activity in rats”.

Author(s): Valjakka J, Paasonen J, Salo R, Paasonen E, Stenroos P, Gureviciene I, Kettunen M, Idiyatullin D, Tanila H, Michaeli S, Mangia S & Gröhn O

Description: Open data sharing of fMRI, DTI and PET data in rats in a study of traumatic brain injury as published in Cerebral Cortex (https://doi.org/10.1093/cercor/bhaf337).

Author(s): Dvořáková L, Salo R, Stenroos P, Jokivarsi K, Kyyriäinen J, Paasonen E, Manninen E, Kettunen M, Poutiainen P, Sierra A, Paasonen J & Gröhn O

Description: This dataset contains all the raw source data and MATLAB analysis functions that comprised the study. Journal article: 10.1002/jor.25732 (DOI)

Author(s): Tóth F, Nissi M, Armstrong A, Buko E & Johnson C

Description: This dataset contains key analysis and plotting scripts, data, and sample images. Measurement of T1ρ dispersion with compressed sensing and magnetization prepared radial balanced steady-state free precession in spontaneous human osteoarthritis.

Magnetic Resonance in Medicine Journal | DOI: 10.1002/mrm.30206

Author(s): Pala S, Paajanen A, Ristaniemi A, Nippolainen E, Afara I, Nykänen O & Nissi M

Description: Altogether 8 developing strawberry plants were investigated with MRI. From these, 4 were inoculated with a plant pathogen, Phytophthora cactorum. The MRI data was collected once a week for a total of three weeks and contains FSEMS-IR (T1 map), MEMS (T2 map), MGE (T2* map and QSM) for each plant and time point.
 
The data includes MR data and relaxation time data as well as quantitative susceptibility maps for developing strawberry plants.

Author(s): Tuomainen T, Toljamo A, Kokko H & Nissi M

Description: This dataset contains the fMRI scans presented in the Magnetic Resonance in Medicine article: “Simultaneous zero echo time fMRI of rat brain and spinal cord”.

Author(s): Laakso H, Wu L, Ponticorvo S, Salo R, Paasonen J, Paasonen E, Kettunen M, Lagore R, DeLabarre L, Polcyn E, Adriany G, Istúriz J, Koski D, Idiyatullin D, Gröhn O, Mangia S & Michaeli S

Description: Data for the original research article “Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol”

Author(s): Haraldsen I, Hatlestad-Hall C, Marra C, Renvall H, Maestú F, Acosta-Hernández J, Alfonsin S, Andersson V, Anand A, Ayllón V, Babic A, Belhadi A, Birck C, Bruña R, Caraglia N, Carrarini C, Christensen E, Cicchetti A, Daugbjerg S, Di Bidino R, Diaz-Ponce A, Drews A, Maria Giuffrè G, Georges J, Gil-Gregorio P, Gove D, Govers T, Hallock H, Hietanen M, Holmen L, Hotta J, Kaski S, Khadka R, Kinnunen A, Koivisto A, Kulashekhar S, Larsen D, Liljeström M, Lind P, Dolado A, Marshall S, Merz S, Miraglia F, Montonen J, Mäntynen V, Øksengård A, Olazarán J, Paajanen T, Peña J, Peña L, Peniche D, Perez A S, Radwan M, Ramírez-Toraño F, Rodríguez-Pedrero A, Saarinen T, Salas-Carrillo M, Salmelin R, Sousa S, Suyuthi A, Toft M, Toharia P, Tveitstøl T, Tveter M, Upreti R, Vermeulen R, Vecchio F, Yazidi A & Rossini P

Description: This data package includes 80 fMRI scans obtained from 13 rats in either the awake state or under light isoflurane-medetomidine anesthesia, presented in the Cerebral Cortex article.

Author(s): Paasonen J, Valjakka J, Salo R, Paasonen E, Tanila H, Michaeli S, Mangia S & Gröhn O

Description: Zero echo time fMRI in awake and anesthetised mouse with visual and auditory stimulation and scripts for processing the data.

Author(s): Dvořáková L, Stenroos P, Salo R, Paasonen E, Tanila H, Michaeli S, Mangia S, Zehnder T, Mueggler T, Künnecke B, Paasonen J & Gröhn O

Description: The data set consists of (1) the X-ray sinogram with 16 or 30 time frames (depending on resolution) of 2D slices of the cross phantom, made by crossing aluminum and graphite sticks in melted candle wax and (2) the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.

Author(s): Latva-Äijö S, Meaney A & Siltanen S

Description: This is an open access dataset of tomographic X-ray data of emoji phantom. The dataset consists of the X-ray sinogram of a single 2D slice of 33 emoji faces (contains 15 different emoji faces) made by small squared ceramic stones and the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform.

Each of these sinograms was obtained from a measured 60-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.

Author(s): Meaney A, Purisha Z & Siltanen S

Description: This is an open-access dataset of tomographic X-ray data of a carved cheese. The dataset consists of the X-ray sinogram of a single 2D slice of the cheese slice with three different resolutions and the corresponding measurement matrices modeling the linear operation of the X-ray transform.

Each of the sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.

Author(s): Bubba T, Juvonen M, Lehtonen J, März M, Meaney A, Purisha Z & Siltanen S

Description: This is an open-access dataset of tomographic X-ray data of a walnut. The dataset consists of the X-ray sinogram of a single 2D slice of the walnut with three different resolutions and the corresponding measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 120-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.

In addition, a larger set of 1200 projections of the same walnut was measured and a high-resolution filtered back-projection reconstruction was computed from this data; both the sinogram and the FBP reconstruction are included in the dataset, the latter serving as a ground truth reconstruction.

Author(s): Hämäläinen K, Harhanen L, Kallonen A, Kujanpää A, Niemi E & Siltanen S

Description: This is an open-access dataset of tomographic X-ray data of a slice of a lotus root. The dataset consists of the X-ray sinogram of a single 2D slice of the lotus root with two different resolutions and the corresponding measurement matrices modeling the linear operation of the X-ray transform.

Also MATLAB code for reconstructions using filtered back-projection, Landweber iteration, and Tikhonov regularization are provided.

Author(s): Bubba T, Hauptmann A, Huotari S, Rimpeläinen J & Siltanen S