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Search results for: COURT ADMINISTRATION
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The orthogonalization of objects simplified using the Chrobak’s method representing groups of buildings in Kartuzy district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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Images of apples for the use of the Viola-Jones method. Data set no. 1 - multicolor.
Open Research DataThe database contains pictures of apples made at different angles, from different sides and containing different varieties. In this way, two bases of apple images were created (each database contains over 1,100 images). This set is data set no. 1 - multicolor: processed images in multicolor. The photos were prepared for the best possible detection process...
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SWM for porous hierarchical nanocarbons composites
Open Research DataRaw Raman spectra and XRD diffractograms (background subtracted) of 13 among which carbon-derived secondary waste and reference materials.
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Structure of the register of immovable monuments by date of individual objects – comparison of 2017 and 2024
Open Research DataThe register of monuments is the primary form of monument protection. The register for monuments in the voivodeship is kept by the voivodeship conservator of monuments in the form of separate books for immovable (book A), movable (book B), and archaeological (book C) monuments. Entries in the register of monuments are made upon application by the owner...
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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Lack of control over work and organizational citizenship behavior: overwork climate as a suppressor variable
Open Research DataThis study investigates a suppressor effect in the relationship between lack of control over work and organizational citizenship behavior (OCB). Suppressor effects operate when the addition of a predictor (in our study it is an overwork climate) increases the predictive power of another variable (lack of control over work) in predicting an outcome variable...
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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Dataset for a research study on scientific productivity of Polish technical universities (Silesian University Of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in June 2021 by the SciVal benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles.The most common definition of research productivity...
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Dataset for a research study on scientific productivity of Polish technical universities (Gdańsk Tech 2016-2020)
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities. The raw data was retrieved in June 2021 by the SciVal benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Dataset for a research study on scientific productivity of Polish technical universities (Poznań University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Białystok University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Opole University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Lublin University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (University of Bielsko-Biała ATH 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Warsaw University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Rzeszów University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (AGH University of Science and Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Częstochowa University Of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Lodz University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Wrocław University of Science and Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (West Pomeranian University Of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Cracow University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Radom University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Kielce University Of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Koszalin University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities. The raw data was retrieved in June 2021 by the SciVal benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Katowice district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Katowice district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Gdańsk district buildings - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Gdańsk district buildings - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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Permanent traffic counting stations - Expressway S6 in Gdansk (dataset containing 5-min aggregated traffic data and weather information)
Open Research DataThe data includes traffic data from permanent traffic count station located on the expressway S6 in the Tri-City Agglomeration area in Poland. The data covers the three year period between 2014 and 2017 and one direction of traffic (southbound).
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The aggregation of objects representing Katowice district buildings - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Katowice district buildings - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 194
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 194, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 192
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 192, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 191
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 191, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 193
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 193, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 190
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 190, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Data on LEGO sets release dates and retail prices combined with aftermarket transaction prices between June 2018 and June 2023.
Open Research DataThe dataset contains LEGO bricks sets item count and pricing history for AI-based set pricing prediction.