University of Tartu

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    432 research outputs found

    Sequenced placenta, serum and urine miRNomes of three healthy pregnancies

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    Sequenced miRNomes of the placenta, serum, and urine samples from three healthy pregnant females. Samples are collected from the third trimester

    Riigikaitse ja avalik arvamus 2022

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    Andmetele ligipääsu taotlemiseks palun võtta ühendust TÜ ühiskonnateaduste instituudi empiirilise sotsioloogia professor Kairi Kasearuga aadressil [email protected] ja analüütik Elen Linaga aadressil [email protected] Kaitseministeeriumi tellitud regulaaruuringu "Riigikaitse ja avalik arvamus" andmestik 2022

    UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images

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    The "UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images" dataset contains the machine learning model files for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images. Random forest-based models are implemented as Ilastik projects while deep-learning models are implemented in Keras

    Töö- ja pereelu ühitamise uuring

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    Töö- ja pereelu ühitamise uuringul oli kaks osa. Neis esimese raames testiti soorollide, stereotüüpide ja normide teadvustamiseks loodud videosalvestise vaatamise mõju Eesti keskkoolinoortele ning teise raames töötavatele täiskasvanutele. Katse käigus näidatud lühifilm oli identne aga ankeetküsitluse käigus esitatud küsimused taustakarakteristikute kohta mugandatud vastavalt vajadusele. Andmestikele on lisatud koodiraamatud

    Baltoscandian Ordovician and Silurian brachiopod carbon and oxygen stable isotope trends: Implications for palaeoenvironmental and palaeotemperature changes

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    Oxygen isotope paleotemperature studies of the Palaeozoic carbonates are based mainly on brachiopod shell material which is resistant to diagenesis and generally precipitated in oxygen isotopic equilibrium with ambient seawater. Here we present brachiopod and bulk rock C and O stable isotopic data from the Baltoscandian Ordovician-Silurian succession, for evaluating the palaeotemperature and palaeoenvironmental variability in the Estonian Shelf facies. As the region has not been influenced significantly by tectonic events or deep burial diagenesis, the studied carbonate rocks and fossils are well preserved in most of the locations. δ18O and δ13C values for the Ordovician and Silurian carbonates and brachiopods range between ca -7‰ to 0‰ and -2.6‰ to +7.3‰ respectively. High δ18O values, sometimes accompanied also with higher δ13C values, correspond to cooling if the isotope signal reflects the original oxygen isotopic composition in seawater and vice versa. Several Ordovician-Silurian δ13Cbrac excursions identified in the Estonian Shelf reflect global palaeoenvironmental history and events, being synchronous with the previously documented excursions in the bulk carbonate stable isotopic curves. Combining the published and new δ13Cbrac and δ18Obrac data allow us to address chemostratigraphic correlation of the interval from Lower Ordovician (Floian) up to the topmost Silurian (Přidoli). The δ18Obrac data confirm warmer temperatures during early Ordovician (Floian-Dapingian) and a cooling trend into the Mid-Ordovician documented by previous studies in different palaeobasins. The Hirnantian glaciation HICE episode reveals the minimum temperature in this interval and the post-HICE data suggest a rising temperature trend. Another temperature minimum is evident in the strata reflecting the Ireviken Event (Sheinwoodian). Our study shows that δ18O values from the brachiopod Ordovician-Silurian carbonates could tentatively be interpreted as reflecting the major temperature trends

    UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors

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    The "UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors" dataset contains the raw fluorescence anisotropy data for ligand binding to M4 muscarinic receptors on budded baculovirus surface as well as processed data for fluorescence anisotropy measurements and microscopy measurements connected with the experimental design metadata. The dataset contains competition binding experiments between reporter ligands (UR-CG072 and UR-MK342) and unlabeled ligands, kinetic experiments of fluorescence ligand binding and fluorescence ligand saturation experiments

    Data of Templated Nitrogen-, Iron-, and Cobalt-Doped Mesoporous Nanocarbon Derived from an Alkylresorcinol Mixture for Anion-Exchange Membrane Fuel Cell Application

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    This dataset contains the data presented in the figures of published paper “Templated Nitrogen-, Iron-, and Cobalt-Doped Mesoporous Nanocarbon Derived from an Alkylresorcinol Mixture for Anion-Exchange Membrane Fuel Cell Application” published in ACS Catal. (2022) 22, 14050–14061 (https://doi.org/10.1021/acscatal.2c03683 ) This dataset contains data for Figures 3-4

    Copernicus Cal/Val Solution: Recommendations for R&D activities on instrumentation technologies

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    Raport Euroopa Liidu kaugseire programmi Copernicus raames kasutusel olevatest kalibreerimise ja valideerimise tehnoloogiatest ja puudujääkidest. Raportis antakse soovitusi uurimis- ja arendustegevusteks tehnoloogia valdkonnas ja esitletakse arenduses olevaid instrumente, mis võiksid seniseid puudujääke tulevikus lahendada.The Document identifies the gaps in instrumentation technologies for pre-flight characterisation, on board calibration and Fiducial Reference Measurements (FRM) used for calibration and validation (Cal/Val) activities for the current Copernicus missions. It also addresses the measurement needs for future Copernicus missions and gives a prioritised list of recommendations for R&D activities on instrumentation technologies

    UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells

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    The "UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains the raw microscopy images of the experiments along with images processed using the random forest algorithm and U-Net3 based deep convolutional neural networks for cell segmentation from bright-field images. The dataset contains experiments with a fluorescence ligand UR-CG072 and multiple M4 muscarinic receptor ligands. The dataset contains binding kinetic, fluorescence ligand saturattion and competition type experiments

    ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.

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    The "ArtSeg-CHO-M4R, artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains microscopy images along with the ground truth binary masks for artifact segmentation from brightfield images. The dataset consists of three main directories for train, validation, and test splits. The images' datatype is an unsigned integer (uint8) with a range from 0 and 255 while the ground truth masks pixel values are 0 or 1

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