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Analyzing the data, one can observe a steadily declining share of the State Treasury in the shareholding structure of banks. In 1995, the state owned over 40% of bank assets (counting directly the share of the State Treasury and indirectly through enterprises organized under state legal persons). At the same time, it should be noted that the NBP is clearly departing from universal banking. In 1995, Narodowy Bank Polski owned 8.5% of the assets of Polish banks. In 1998, this share fell practically to zero. Therefore, it should be concluded that the banking system in Poland took the form of a two-tier one, with a clear separation of the role of the central bank and individual commercial banks.

The experiment was conducted to test the evaporator operation. The heat exchanger was equipped with minigeometry (set of 50 parallel minichannels or single minigap). The studies were conducted for various mass flow rate of the working fluid and for various temperatures at the inlet of the evaporator. Accurate information about the test rig, the parameters of the experiments and the variables measured are attached to the data. 

The aim of the project is to work out a model of the stealth maritime object which will have innovative solutions concerning the object form, structure and materials. These solutions should enable a modification of combinations of the object features defining the object stealth characteristics (difficulty of the object detection in the water). It is assumed that the object will be able to move on the water surface and in the immersed conditions due to the horizontal and vertical jet propulsion systems. The model will have four features describing the object stealth charactristics: innovative hull form (1), structure and hull surface covering (2), vibro-sound field (3) and possibility of modification of the boundary layer and wake of the object (4). There should be a posibility to change the above features as demanded. Submitting the possible combinations of changes of the object stealth characteristics will be the main result of the project.

The aim of the study was to determine the flow properties of serial connection of pneumatic components.The experiments were to measure the pressure changes in a being emptied tank for a directional control valve and a pressure relief valve arranged in-line. Four test configurations were used: (1) being emptied tank -> DCV -> ambient atmosphere, (2) being emptied tank -> PRV -> ambient atmosphere, (3) being emptied tank -> DCV -> PRV -> ambient atmosphere, (4) being emptied tank -> PRV -> DCV -> ambient atmosphere. So, four data files are included in the dataset. Each data file has a header where parameters of experiment are given. Additionally, for the valves analised, catalogue flow properties are given by means of sonic conductance and critical pressure ratio. The given data allow to verify calculation procedures for determination of flow properties of pneumatic components arranged in-line.

This dataset contains forecasted FWI indices calculated for the period: March 1 - September 30, 2019, based on the meteorological fields derived from the Weather Research and Forecasting Model (WRF) ver. 4.2.1. For each day FWI data with the forecast range equal 24 and 48 hour were stored in GeoTIFF files. In addition, soil moisture and temperature at depths of 0-10 cm were also included in each file. All data were saved with 0.01 degree spatial resolution and WGS84 (EPSG:4326) reference system. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset. The Canadian Forest Fire Weather Index (FWI) is one of the most commonly used system for describing forest fire danger. The system consists of six indices. Three of them represent fuel moisture: Fine Fuel Moisture Code (FFMC) Duff Moisture Code (DMC) Drought Code (DC) two describe a rate of spread and fuel consumption: Initial Spread Index (ISI) Buildup Index (BUI) Based on those subindices a final FWI index is estimated which represent fire intensity. Calculations were carried out at the Academic Computer Centre in Gdansk.

The data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.A long-term (5 hours) measurement of physiological parameters was performed on the healthy volunteers (female, age 24).Acronyms used into a dataset:t- time (counted every 5 seconds);R – skin resistance (HI – too high value to be measured);X – detection of stress (can be 0 or 1)H – pulseB- the value of the battery chargeT – skin temperature.

The data are complementary part of the experiment designed to demonstrate how to use the network protocols to transmit medical data. The dataset contains biomedical signals of ECG, Impedanc and temperature acquired simultaneously. The data allow students to become familiar with data acquisition methods (simulate data transmission by medical device over UDP protocol). This data helps students to get familiar with the methods of decoding the data frame and reading the data saved in different formats. Data frame of the dataset is as follows:<Impedance, ECG, thermistor>where:"<" means the beginning of a data frame,">" end of data frame" , " is a separator"ECG" signal value"Impedance" value of measured impedance"Thermistor" signal from the thermistorIn binary form, a single "portion" of data is 7 bytes (56 bits). The first 24 bits are impedance samples, another 24 bits are ECG, the last 8 bits are thermistor. The data was sampled at f = 250Hz.

Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DRY. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. (stored in separate folders).Specimen set K03 Dascription of variables, as supplied in each data folder in the 'Variables description.RTF' file:NAPIECIE.MAT – internal feedback loop control parameterVariable file contents: Cz_napiecie – sampling frequency at NAPIECIE channel Jedn_napiecie – physical unit at NAPIECIE channel Fun_napiecie – raw digital signal to physical unit conversion function at NAPIECIE channel Napiecie – raw signal at NAPIECIE channel OBCI.MAT – test load in sliding contact (normal force)Variable file contents: Cz_obci – sampling frequency at OBCI channel Jedn_obci – physical unit at OBCI channel Fun_obci – raw digital signal to physical unit conversion function at OBCI channel Obci – raw signal at OBCI channel OD_RA_GO.MAT – friction force control signal at pivot support of fixed specimen (upper) holder assembly; the specimen is attached to a vertical plunger supported in linear roller bearings with dead weight or spring loading mechanismVariable file contents: Cz_od_ra_go – sampling frequency at OD_RA_GO channel Jedn_od_ra_go – physical unit at OD_RA_GO channel Fun_od_ra_go – raw digital signal to physical unit conversion function at OD_RA_GO channel Od_ra_go – raw signal at OD_RA_GO channel PRZEM.MAT – displacement of the specimen in reciprocating motion (lower), attached to roller sledge with crank driveVariable file contents: Cz_przem – sampling frequency at PRZEM channel Jedn_przem – physical unit at PRZEM channel Fun_przem – raw digital signal to physical unit conversion function at PRZEM channel Przem – raw signal at PRZEM channel SILAT_RD.MAT – friction force measured at flexible support of fixed specimen (upper) holder assemblyVariable file contents: Cz_silat_rd – sampling frequency at SILAT_RD channel Jedn_silat_rd – physical unit at SILAT_RD channel Fun_silat_rd – raw digital signal to physical unit conversion function at SILAT_RD channel Silat_rd – raw signal at SILAT_RD channel TMP_KAP.MAT –temperature of the lubricant bathVariable file contents: Cz_tmp_kap – sampling frequency at TMP_KAP channel Jedn_tmp_kap – physical unit at TMP_KAP channel Fun_tmp_kap – raw digital signal to physical unit conversion function at TMP_KAP channel Tmp_kap – raw signal at TMP_KAP channel TMP_PROB.MAT –temperature of the specimen in reciprocating motion (lower), attached to roller sledge with crank driveVariable file contents: Cz_tmp_prob – sampling frequency at TMP_PROB channel Jedn_tmp_prob – physical unit at TMP_PROB channel Fun_tmp_prob – raw digital signal to physical unit conversion function at TMP_PROB channel Tmp_prob – raw signal at TMP_PROB channel ZUZYCIE.MAT – real time linear wear of the sliding pairVariable file contents: Cz_zuzycie – sampling frequency at ZUZYCIE channel Jedn_zuzycie – physical unit at ZUZYCIE channel Fun_zuzycie – raw digital signal to physical unit conversion function at ZUZYCIE channel Zuzycie – raw signal at ZUZYCIE channel

The acoustic data was collected in 2019, in the Gdansk Deep, in the season: Summer. Data was collected during the day and night. Three split-beam echosounders with frequencies of 38 kHz, 120 kHz and 333 kHz were used to collect the data. The data was collected while the ship was sailing. To ensure data quality, echosounders were calibrated and passive noise was measured.