Browsing by Subject "databases"

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  • Pulkki, Reino (Suomen metsätieteellinen seura, 1984)
    The development is described of a method for solving transport problems and formulating transport policies in a changing and complex environment. Its application is described in a study of the competitiveness and possible areas for rationalization of the water transport system in the Saimaa area of Finland in particular, and long-distance transport in the area in general.
  • Vuorio, Kristiina; Mäki, Anita; Salmi, Pauliina; Aalto, Sanni L.; Tiirola, Marja (Frontiers Media S.A., 2020)
    Frontiers in Microbiology 11 (2020) 96
    The composition of phytoplankton community is the basis for environmental monitoring and assessment of the ecological status of aquatic ecosystems. Community composition studies of phytoplankton have been based on time-consuming and expertise-demanding light microscopy analyses. Molecular methods have the potential to replace microscopy, but the high copy number variation of ribosomal genes and the lack of universal primers for simultaneous amplification of prokaryotic and eukaryotic genes complicate data interpretation. In this study, we used our previously developed directional primer-independent high-throughput sequencing (HTS) approach to analyze 16S and 18S rRNA community structures. Comparison of 83 boreal lake samples showed that the relative abundances of eukaryotic phytoplankton at class level and prokaryotic cyanobacteria at order level were consistent between HTS and microscopy results. At the genus level, the results had low correspondence, mainly due to lack of sequences in the reference library. HTS was superior to identify genera that are extensively represented in the reference databases but lack specific morphological characteristics. Targeted metatranscriptomics proved to be a feasible method to complement the microscopy analysis. The metatranscriptomics can also be applied without linking the sequences to taxonomy. However, direct indexing of the sequences to their environmental indicator values needs collections of more comprehensive sample sets, as long as the coverage of molecular barcodes of eukaryotic species remains insufficient.
  • Salminen, Jani M.; Veiste, Pekka J.; Koskiaho, Jari T.; Tikkanen, Sarianne (2019)
    Water Resources and Economics
    This paper introduces a novel procedure for the compilation of highly disaggregated water accounts by using Finland as a case example. The procedure is based on combining the use of existing standard economic statistics and other registers and databases with a dataset on water supply and use collected in the present study. As an outcome, water supply and use accounts are presented for 195 industries in the Finnish economy in 2010. The water accounts presented are based primarily on actual water supply and use rates and distinguish between various raw water sources and uses: groundwater, fresh surface, brackish water self-abstracted for own use, and mains-water supply and use. Separate accounts for cooling water are presented. The paper covers flow accounts from the environment to the economy and within the economy excluding all return flows. Data coverage issues and potential sources of error are reported in detail and discussed together with the applicability of the procedure in other countries. Implications for the System of Economic-Environmental Accounting for Water (SEEA-Water) framework are assessed.
  • Laakom, Firas; Raitoharju, Jenni; Nikkanen, Jarno; Iosifidis, Alexandros; Gabbouj, Moncef (IEEE, 2021)
    IEEE Access 9, 39560-39567
    In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination estimation research. The variety of scenes captured using three different camera models, namely Canon 5DSR, Nikon D810, and Sony IMX135, makes the dataset appropriate for evaluating the camera and scene invariance of the different illumination estimation techniques. Privacy masking is done for sensitive information, e.g., faces. Thus, the dataset is coherent with the new General Data Protection Regulation (GDPR). Furthermore, the effect of color shading for mobile images can be evaluated with INTEL-TAU dataset, as both corrected and uncorrected versions of the raw data are provided. Furthermore, this paper benchmarks several color constancy approaches on the proposed dataset.
  • Nissinen, Ari; Seppälä, Jyri; Heinonen, Tero (Elsevier Ltd., 2022)
    Cleaner logistics and supply chain
    The carbon footprint (CF) should finally have a role in the decision-making of manufacturing companies, retailers, public procurers and consumers. We consider that more systematic approaches are urgently needed for collecting, storing and presenting carbon footprint information. The key issue from the standpoint of reliability and comparability is to recognise how each CF was determined and how it has been verified. Global Trade Item Number (GTIN) and the connected barcode symbol can be used to identify products. We propose that the presented framework can help to build databases which are easy to use for the manufacturers, retailers and various service providers and which can increase the production and usability of CF information.