This dataset is about book subjects. It has 3 rows and is filtered where the books is OpenStreetMap : be your own cartographer. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

FRUC Datasets (Forest environment dataset)

This dataset was collected as part of the work conducted by the Forestry Robotics @ University of Coimbra team (https://www.youtube.com/@forestryroboticsuc; part of the Institute of Systems and Robotics, https://www.isr.uc.pt/) within the scope of the Safety, Exploration and Maintenance of Forests with Ecological Robotics (SEMFIRE, ref. CENTRO-01-0247-FEDER-03269; http://semfire.ingeniarius.pt/) and the Semi-Autonomous Robotic System for Forest Cleaning and Fire Prevention (SafeForest, CENTRO-01-0247-FEDER-045931) research projects. Its purpose is to allow researchers in forestry robotics to have an in-depth analysis of a florests environment; obtain an a priori map for robot operations (e.g. path plannning, landscaping, etc…) and to train segmentation algorithms;

The dataset in question includes data from multiple sensors and absolute, map-referenced localization which can be used to register the sensor data to a fixed coordinate system. It was collected at the Choupal National Woods, Coimbra, Portugal (40◦13′13.3′′N;8◦26′38.1′′W). The dataset was collected during a partly clouded day in a forest environment by performing two circular loop laps amounting to a total distance of approximately 800m, with a total duration of 14 minutes and 22 seconds. The scenario is rich in features relevant to forestry robotics applications, including trees, bushes, tree trunks, etc. To better handle the multimodal nature of the acquired data, the dataset is bundled into rosbags, a file format used by the ROS (Robot Operating System) to record and play back data.

More specifically, the datasets include:

RGB Images from an Intel Realsense D435i

Aligned Depth Images from an Intel Realsense D435i

Left and Right Mono Images from a Mynt Eye s1030

Point Clouds from a Livox Mid-70 LiDAR

Unfiltered acceleration, gyroscopic and magnetic data from a Xsens MTi IMU

Unfiltered acceleration, gyroscopic data from an Intel Realsense D435i

GNSS Fix data from a Xiaomi Mi Mix 3 device

Description of files:

The dataset is contain in choupal.bag.

The rosbag_info.txt contains the information of each rosbag;

The sensor_box.urdf contains all the required transforms;

The sensor_box.stl contains the 3D model of the apparatus;

The choupal.launch publishes the sensor transforms and plays the dataset;

The localization.bag contains the final graph of poses extracted with Cartographer republished as nav_msgs/odom at 4.98Hz.

The localization_15Hz.bag contains a map-referenced localization extracted with Cartographer at a higher frequency, but the poses are interpolated. If you don't require a high frame rate, please use the localization.bag instead.

Usage:

Extract the fruc_dataset_choupal_launch.zip into a catkin workspace

Install the necessary dependencies of the package:

cd [/path/to/catkin_ws]

rosdep install --from-paths src --ignore-src -y -r

Copy the rosbags into the fruc_dataset_choupal_launch/rosbag/

Edit the fruc_dataset_choupal_launch/launch/choupal.launch file to your use case:

Change the file_path argument if the rosbags are not in the default location;

Set localization_file to the path of the desired localization bag, leave it empty to run the dataset without localization.

Compile the package and source the environment:

catkin_make [/your_catkin_workspace/]

source [/your_catkin_workspace/devel/setup.bash]

Launch the files:

roslaunch fruc_dataset_choupal_launch choupal.launch

The road network is an essential feature class in topographic maps and databases. Road network selection for smaller scales forms a prerequisite for all other generalization operators and is thus a fundamental operation in the overall process of topographic map and database production. The objective of this paper was to develop an algorithm for automated road network selection from a large-scale (1:10,000) to a medium-scale database (1:50,000). The project was pursued in collaboration with swisstopo, the national mapping agency of Switzerland. Three algorithms (a stroke-based, a mesh-based, and a combined stroke-mesh algorithm) were implemented from the literature and analyzed using swisstopo’s large-scale TLM3D spatial database, with requirements set forth by expert cartographers. Initial experiments showed that the combination algorithm performed best, yet still it could not meet all requirements. Therefore, extensions to the basic stroke-mesh algorithm were developed, significantly improving the selection result with real-world, large test databases. Three extensions introduce modifications to the stroke-mesh combination algorithm. Furthermore, two extensions include external feature classes, ensuring accessibility of points of interest and appropriate network density representation in settlement areas, respectively. The results were evaluated by expert cartographers, who concluded that the proposed approach is ready to be deployed in production at swisstopo.

This GIS data set depicts a combination of the Outer EEZ from NOS sources, and the Inner EEZ from BOEM sources, producing the geographic regulatory boundaries in federal waters, or Magnuson Stevens Act area. Outer EEZ: NOAA's Office of Coast Survey (OCS) is responsible for generating the Three Nautical Mile Line, Territorial Sea, Contiguous Zone, and Exclusive Economic Zone (EEZ). Traditionally, these maritime limits have been generated by hand from the low water line depicted on paper, U.S. nautical charts. Upon final approval by the U.S. Baseline Committee, these legally-binding maritime limits are applied to the next edition of nautical charts produced by the Marine Chart Division of OCS. Due to new cartographic production processes and the availability of digital products such as Electronic Navigational Charts (ENCs), the Office of Coast Survey (OCS) is generating more accurate, digital maritime limits. Through the use of Geographic Information Systems (GIS) software such as CARIS' LOTS and ESRI's ArcGIS, the latest vector representations of these limits will be available to NOAA cartographers and the public. To create digital limits, the charted low water line is digitized from the largest-scale raster nautical charts and used as input to CARIS' LOTS: Limits and Boundaries software for the designation of a baseline. Other parts of the EEZ include maritime boundary agreements and/or unilateral claims as noted in Federal Register Notice, Volume 60, No. 163, Wednesday August 23, 1995. Once the limits are created, they are exported to a shapefile using CARIS' "Import SHP File" utility. Digital limits of the Exclusive Economic Zone for the Atlantic coast of the United States are contained within a zipped file. Within the zipped file is a shapefile and a text file detailing the individual coordinates. Inner EEZ (SLA): The Submerged Lands Act (SLA) of 1953 grants individual States rights to the natural resources of submerged lands from the coastline to no more than 3 nautical miles (5.6 km) into the Atlantic, Pacific, the Arctic Oceans, and the Gulf of Mexico. The only exceptions are Texas and the west coast of Florida, where State jurisdiction extends from the coastline to no more than 3 marine leagues (16.2 km) into the Gulf of Mexico. This data set contains the Submerged Lands Act (SLA) boundary line (also known as State Seaward Boundary (SSB), or Fed State Boundary) in ESRI shapefile formats for the BOEM Atlantic Region. The SLA boundary defines the seaward limit of a state's submerged lands and the landward boundary of federally managed OCS lands. In the BOEM Atlantic Region it is projected 3 nautical miles offshore from the baseline. Further information on the SLA and development of this line from baseline points can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf http://www.boemre.gov/itd/pubs/1999/99-0006.pdf. Due to slight differences in process and purpose, NOAA's 3 nautical mile line depicted on its charts may differ in some areas from the SLA boundary depicted on BOEM maps and OPDs and should not be confused with the SLA boundary. Therefore this boundary is the only boundary that should be used to depict state/federal seperation of jurisdiction for submerged lands. Because GIS projection and topology functions can change or generalize coordinates, these GIS files are considered to be approximate and are NOT an OFFICIAL record for the exact Submerged Lands Act Boundary. The Official Protraction Diagrams (OPDs) and Supplemental Official Block Diagrams (SOBDs) serve as the legal definition for offshore boundary coordinates and area descriptions.

The data set presents the map indexes of the Second Military Survey in 1:28,800 scale for Galicia and Austrian Silesia, two provinces of the Austrian Monarchy. Currently, Galicia belongs to Ukraine and Poland, and Austrian Silesia to the Czech Republic and Poland. The indexes, apart from the approximate geographical range, contain information about the authors and the years in which individual sheets were produced. The authors of the maps are distinguished as directors, surveyors and drafters, description writers, and reambulators. For each author, the name of the military unit to which he belonged is given. This is a unique set of data obtained from the map frames of 455 sheets held by the War Archives in Vienna. The Second Austrian Military Survey in 1:28,800 scale was made for the province of Galicia in 1861-1864 and for Austrian Silesia in 1838-1841. In Galicia, the work on 413 sheets was led by thirteen cartographers, and the content and descriptions were prepared by 106 cartographic technicians. On the 42 sheets of Silesia, two directors and eleven technicians were recorded. The military cartographers who prepared the survey of each province belonged to 71 different multinational units of the army of the Austrian Monarchy. These data can be useful for geographers and historians, especially for those researching the history of cartography. Knowing the diverse authorship of the map sheets is helpful in understanding the consistency of the data on maps and assessing their quality. This may help reduce the uncertainty of using historical data from these maps for a variety of long-term studies of nature and socio-economic studies.

Acknowledgments This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).

The topographical images of this map book for the former Prussian territory east of the Weser in scale 1: 50,000 took place between 1767 and 1787. with the significant participation of Friedrich Wilhelm Karl Graf von Schmettau. The Prussian officer and cartographer created the work against the concerns of Frederick II. However, in consultation with the then Crown Prince Friedrich Wilhelm II on his own initiative and with the support of the Minister Friedrich Wilhelm Graf von der Schulenburg-Kehnert. According to sources, scope and content, the work is the culmination of pre-official Prussian cartography. The individual sheets were hand-drawn unique pieces and not intended for publication. The originals of the 270-section map work are in the possession of the Staatsbibliothek zu Berlin - Preußischer Kulturbesitz. The cards are available as multicolour prints and have a size of 97 cm x 64 cm. You will be given plano.