Filtry
wszystkich: 643
wybranych: 37
-
Katalog
- Publikacje 434 wyników po odfiltrowaniu
- Czasopisma 4 wyników po odfiltrowaniu
- Wydawnictwa 6 wyników po odfiltrowaniu
- Osoby 79 wyników po odfiltrowaniu
- Projekty 12 wyników po odfiltrowaniu
- Laboratoria 1 wyników po odfiltrowaniu
- Zespoły Badawcze 2 wyników po odfiltrowaniu
- Kursy Online 24 wyników po odfiltrowaniu
- Wydarzenia 44 wyników po odfiltrowaniu
- Dane Badawcze 37 wyników po odfiltrowaniu
Filtry wybranego katalogu
Wyniki wyszukiwania dla: RUROCIĄG PODMORSKI
-
Cyanobacterial occurrence in 6 lakes in the Pomorskie Province (2005-2006)
Dane BadawczeEN: This dataset includes information about cyanobacterial occurrence in 6 lakes in the Pomorskie Province (northern Poland) in 2005 and 2006. Presented data concern basic physicochemical and biological parameters of sampled waters (temperature, pH, Chl a), occurence of potentially toxic cyanobacterial species and the type and concentration of toxins...
-
Kowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles
Dane BadawczeKowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles
-
Nuts 63 (voj. pomorskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. pomorskie (Poland, nuts 63)
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2019 - Municipality areas
Dane BadawczeData contain the number of accidents, victims, accident costs divided on municipality areas (119 areas) on regional roads (voivodeship roads) in pomorskie voivodeship in 2019. Measures used to assess the level of social risk are (5 classes: low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2019 - Poviat areas
Dane BadawczeData contain the number of accidents, victims, accident costs divided on poviat areas (16 areas) on regional roads (voivodeship roads) in pomorskie voivodeship in 2019. Measures used to assess the level of social risk are (5 classes low, low to medium, medium, medium to high, high):
-
Nuts 61 (voj. kujawsko-pomorskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. kujawsko-pomorskie (Poland, nuts 61)
-
Starogard Gdański 2019, Lubichowska - Pomorska street - video data - pedestrian, bicycles, vehicles
Dane BadawczeThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Lubichowska street. Date 06.2019, 6:00-18:00. The video camera was installed around intersections at Lubichowska and Pomorska street. Camera was mounted on 7-meter-high mast.
-
Starogard Gdański 2019, Pomorska - Pelplińska street - video data - pedestrian, bicycles, vehicles
Dane BadawczeThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Pomorska street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Pelplińska street. Camera was mounted on 7-meter-high mast.
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - All accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Pedestrian accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Pedestrians. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Head-on accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: head-on. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Cyclist accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Cyclists. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Night accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, time of accidents: Night. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Child accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: children - drivers, passengers and . vulnerable road user.. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Starogard Gdański 2019, Pomorska – Tadeusza Kościuszki street - video data - pedestrian, bicycles, vehicles
Dane BadawczeThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Kościuszki street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Tadeusza Kościuszki street. Camera was mounted on 7-meter-high mast.
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Young drivers accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: young driver offender. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Motorcycle and moped accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: motorcyclists and mopeds. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Side-impact accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: Side-impact. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Elderly people accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: elderly people (65+) - drivers, passengers and . vulnerable road user. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Excessive speed accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, cause of accidents: Excessive speed accidents. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Alcohol and drug accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Offenders under influence of alcohol or drug - driver or pedestrian. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Run off road accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: Run off road. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
-
Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Medium to High and high road sections
Dane BadawczeData contain road sections with the highest number of accidents and victims on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019. Measures used to assess the level of risk is: minimum 4 accidents or 4 seriously injured or fatalities per one kilometer (5 classes: low, low to medium, medium, medium to high, high):
-
Starogard Gdański 2019, Pomorska – Aleja Jana Pawła II street - video data - pedestrian, bicycles, vehicles
Dane BadawczeThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at aleja Jana Pawła II street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Aleja Jana Pawła II street. Camera was mounted on 7-meter-high mast.
-
Starogard Gdański 2019, Aleja Niepodległości, Pomorska and Mikołaja Kopernika street - video data - pedestrian, bicycles, vehicles.
Dane BadawczeThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Aleja Niepodległości street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Aleja Niepodległości – Galeria Neptun street and Pomorska – Mikołaja Kopernika street. Camera was mounted on 7-meter-high mast.
-
Terrestrial Survey Images - 3D Exterior Model - Zukowo Church - Canon
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Parafia Wniebowzięcia Najświętszej Maryi Panny w ŻukowieLocation: Żukowo, Pomorskie, Kartuski County, PolandDrone type: n/a (Teresstrial images)Flight plan: CircleTarget Product: 3D ModelDate: 21.04.2018Direct georeferencing: yesMetadata data: NoGCP: NoCamera Name: Canon EOS 500DModel...
-
Terrestrial Laser Scan and Survey Images - 3D Model - Simulated Car Accident - MP1 - Reigl
Dane BadawczeDataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object: Simulated Car AccidentLocation: Puck Pomorskie, PolandDrone type: DJI Mavic Pro 1Flight plan: Circle | Point Of InterestTarget Product: 3D ModelDate: 07.07.2017Direct georeferencing: yesMetadata data: Yes/GPSGCP: Yes - some targets on the object are marked...
-
Terrestrial Laser Scan and Survey Images - 3D Model - Submarine Kobben - Canon - Reigl
Dane BadawczeDataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object: Submarine Kobben - decomisionedLocation: Gdynia, Pomorskie, PolandDrone type: n/a (Teresstrial images)Flight plan: Free - walk arround the objectTarget Product: 3D ModelDate: 05.07.2017Direct georeferencing: noMetadata data: NoGCP: N0 - some targets on...
-
Terrestrial Laser Scan and Survey Images - 3D Model - Palm House - MP1 - Leica
Dane BadawczeDataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object: Palm House in Gdansk Oliwa ParkLocation: Gdansk, Pomorskie, PolandDrone type: DJI Mavic Pro 1Flight plan: Circle | Point Of InterestTarget Product: 3D ModelDate: 06.11.2018Direct georeferencing: yesMetadata data: Yes/GPSGCP: NoCamera Name: DJI FC220Lasser...
-
UAV Survey Images - 3D Model - Zukowo Church
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Parafia Wniebowzięcia Najświętszej Maryi Panny w ŻukowieLocation: Żukowo, Pomorskie, Kartuski County, PolandDrone type: DJI Mavic Pro.Flight plan: CircleTarget Product: 3D ModelDate: 21.04.2018Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP: No Camera Name: DJI FC220Model...
-
UAV Survey Images - orthophotomap - Zukowo City
Dane BadawczeDataset description: Raw images from photogrammetric survey.Location: Żukowo, Pomorskie, Kartuski County, PolandDrone type: DJI Mavic Pro.Flight plan: Single gridTarget Product: OrthophotomapDate: 22.04.2018Direct georeferencing: yesMetadata data: yes/GPSGCP: yes (description and location in file)\GCP: RTK Camera Name: DJI FC220Model type: PerspectiveImage...
-
Data on LEGO sets release dates and retail prices combined with aftermarket transaction prices between June 2018 and June 2023.
Dane BadawczeThe dataset contains LEGO bricks sets item count and pricing history for AI-based set pricing prediction.
-
Permanent traffic counting stations - Expressway S7 in Gdansk, Poland
Dane BadawczeThe data includes traffic data from permanent traffic count station located on the expressway S7 in the Tri-City Agglomeration area in Poland. The data covers the 2 months of 2015 (May, October) and one direction of traffic (eastbound).
-
Gdańsk Opacka street 2017 - video data
Dane BadawczeGdańsk Opacka street 2017 - video data
-
Rust QA: question answering dataset for "The Rust Programming Language" in SQuAD 2.0 format
Dane BadawczeRust QA is a dataset for training and evaluating QA systems. The dataset consists of 1068 questions to "The Rust Programming Language" book (https://doc.rust-lang.org/stable/book/) with the answers provided as text spans from the book. The dataset is released in SQuAD 2.0 format.
-
The effect of chitosan concentration and molecular weight on endotoxin content
Dane BadawczeThe dataset includes results to determine the effect of chitosan concentration and molecular weight on endotoxin content as well as the effect of purification methods. The endotoxin concentration was determined using the PyroGene Recombinant Factor C Endpoint Fluorescent Assay. Chitosan 0.6% in 0.1M glycolic acid from Chemat LMW, MMW, and HMW were used...
-
The effect of raw material type on endotoxin content .
Dane BadawczeThe datasets contain the results of determining the effect of raw material type on endotoxin content as well as the effect of purification methods. The endotoxin concentration was determined using the PyroGene Recombinant Factor C Endpoint Fluorescent Assay. Beckmann-Kenko sodium alginate and Chemat sodium salt of alginic acid were used for the assays....