1,721,169 research outputs found

    Sea ice climatology of the Baltic Sea (1982-2020)

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    <p>This report sets out to investigate the climatology of sea ice conditions in the Baltic Sea region, with a focus on the gulfs of Riga and Finland. The analysis will be carried out by implementing climatological normals of ice days and ice extent values over a specified period of time spanning over 38 years (1982-2020).</p&gt

    About TalTechData

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    <p>Information file about TalTech Data Repository.</p&gt

    Green twins - urban tempo source code

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    <p>This is the latest source code package for urban tempo pilot app for Finest Twins internal use.</p><p><strong>Important: </strong>in order to reuse the code, the software components licensed by the author will have to be removed or bought a new license for! Please open Unity package manager upon opening the project to list the the assets.</p&gt

    Exploring Telemetry Collection Interval and Continuity in a Six-Month Study of a Pan-European Network

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    <p>Reliable telemetry data is the key to unlocking machine learning-based network observability. This paper discusses the collection design, content, and continuity based on a 6-month-long data collection in a live network from the operator‘s perspective. © 2025 The Author(s)</p&gt

    Supplementary material 1 from: Sildever S, Laas P, Kolesova N, Lips I, Lips U, Nagai S (2021) Plankton biodiversity and species co-occurrence based on environmental DNA – a multiple marker study. Metabarcoding and Metagenomics 5: e72371

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    <p>Data type: images</p><p>Explanation note: <strong>Figure S1.</strong> Shepard diagrams for all the markers used for the NMDS analysis. <strong>Figure S2.</strong> Temperature and salinity in winter-spring (A, B) and summer-autumn (C, D) at various sampling locations. <strong>Figure S3.</strong> Overview of OTUs detected based on different markers in different higher taxonomic levels (18S, 28S_E, 28S_D: supergroups; 16S: phyla). Group "Others" in 16S consists of phyla containing < 10 OTUs. <strong>Figure S4.</strong> Number of unique and shared eukaryotic OTUs detected by three eukaryote-targeting markers: 18S, 28S_E, 28S_ D. <strong>Figure S5.</strong> Venn diagrams of OTUs detected from winter-spring (A) and summer-autumn (AP) stations. <strong>Figure S6.</strong> Relative sequence abundances of different phyla/group detected by 28S_E in different sampling months. TOP 5 most abundant phyla/groups are shown for each station and sampling occasion (X-axis). Y-axis displays the relative sequence abundances for each phyla/group. Sequences belonging to the phyla/group that did not belong to the TOP 5 phyla/group for the particular sampling occasion are displayed as "Others". <strong>Figure S7.</strong> Correlation among OTUs associated with common, dominant, or toxin-producing (bold) phytoplankton species (X-axis) and zooplankton species (microzooplankton species are marked with bold; Y-axis). Asterisks indicate statistically significant (p < 0.05) correlations after Benjamini-Hochberg correction. <strong>Figure S8.</strong> Correlation among OTUs associated with common, dominant, or toxin-producing (bold) phytoplankton species (X-axis) and bacteria (Y-axis). Asterisks indicate statistically significant (p < 0.05) correlations after Benjamini-Hochberg correction.</p><p> </p><p>This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.</p><p><br> </p&gt

    A device for measuring the electrical bioimpedance with variety of electrode placements for monitoring the breathing and heart rate

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    <p>In this work the determination of the positions of surface plate electrodes on human trunk for measuring the breathing and heart rate by using the electrical bioimpedance is presented. The designed and implemented measurement device – electrode shirt – is described.</p><p>Conference: 2015 26th Irish Signals and Systems Conference (ISSC), Carlow, Ireland</p><p>Presented by Margus Metshein on Friday, June 25, 2015</p&gt

    Electronic structure and defect states in bismuth and antimony sulphides identified by energy-resolved electrochemical impedance spectroscopy

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    <p>One of the reasons chalcogenide-based photovoltaic solar cells (SC) do not yet meet the expected high-power conversion efficiencies is a lack of understanding of their electronic structure, and particularly the nature of the point defects in the absorber materials. We show that the density of states of the characteristic features of the electronic structure, such as band edges and energy distribution of defects, can be obtained experimentally by energy-resolved electrochemical impedance spectroscopy (ER-EIS) in a technically simple and quick way. The ER-EIS data correlate well with theoretical density functional theory calculations. The ER-EIS reveals that Bi<sub>2</sub>S<sub>3,</sub> has only shallow defects near the conduction band minimum (CBM). In Sb<sub>2</sub>S<sub>3</sub>, ER-EIS also shows deep defect states, which can be the cause of the low electrical conductivity of Sb<sub>2</sub>S<sub>3</sub> and lower than theoretically possible power conversion efficiency of Sb<sub>2</sub>S<sub>3</sub>-based SC. A dominant sulphur vacancy defect was identified in Bi- and Sb-chalcogenides. In the (Sb<em><sub>x</sub></em>Bi<sub>(1−<em>x</em>)</sub>)<sub>2</sub>S<sub>3</sub> ternary alloy series, a gradual transformation of CBM and defect states in the band gap was observed. Notably, a 1:9 ratio of Bi:Sb cations already transforms the deep sulphur defects into shallow ones while keeping the band edges similar to those of the pristine Sb<sub>2</sub>S<sub>3</sub>. It can provide a novel strategy for healing the deep defect states in Sb<sub>2</sub>S<sub>3</sub>, a crucial step for boosting solar cell performance.</p&gt

    Promotional materias for FinEst pilot project GreenTwins

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    <p>Promotional materials were produced for FinEst pilot project entitled <a href="https://www.finestcentre.eu/greentwins">GreenTwins.</a></p><p>The data set contains:</p><ul><li>General project presentations (Prilenska & Andresson, 2023; Staffans et al., 2023);</li><li>Promotional video (Miltton, 2023);</li><li>Communication plan;</li><li>Urban Tempo COVISE module (visualisation application) videos and description;</li><li>Virtual Green Planner (co-planning application) videos and screenshots;</li><li>Dynamic digital plant library (local tree models of different ages and LOD levels) presentations and videos.</li></ul&gt

    Average amount of days in the years 1993 to 2021 where coastal sea surface temperatures around Estonia are higher than 18 deg C

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    <p>By analyzing sea surface temperature (SST) data from Baltic Sea Physics Reanalysis datasets, a timeline of average days where coastal water temperatures were higher than a certain level can be made. In this instance, the minimum temperature was set at 18°C. Further comparisons that can be made from this data include seasonal averages for each year, the number of days with an SST of 18+ degrees that have occurred from 1993 to 2021 as well as the likelihood of having days with higher water temperatures per season.</p&gt

    Application of chiral bifunctional halogen bond catalysts in glycosylation reactions

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    <p>BOS 2022 konverentsi poster</p&gt
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