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5 results for “Map generalisation”
L'Alpe d'Huez: a dataset to benchmark topographic map generalisation
<p>This dataset derives from the one used in a past EuroSDR benchmark (http://dx.doi.org/10.1016/j.compenvurbsys.2009.06.002), and should be used as a benchmark for topographic map generalisation techniques. It contains several topographic layers as shapefiles (roads, buildings, rivers, forests, contour lines...), a style description to display the data at the 1:50k scale, and a table of the generalisation constraints that should be respected in this 1:50k scale map.</p> <p>The initial data can considered as detailed for maps at the 1:15k scale. The projection of the data is "Lambert II Etendu", EPSG:27572.</p> <p>The area is 11*11 km large.</p>
Text-fig. 1. Sketch map of the Devonian of the Prague Basin, and generalised stratigraphy of the Koněprusy Limestone (Pragian), Suchomasty Limestone (Upper Emsian), Acanthopyge Limestone (Eifelian) and the top of the Acanthopyge Limestone and the Srbsko Formation (transition Eifelian-Givetian) in the Koněprusy area (with marked neptunian dykes and approximate positions of Calceola-bearing limestone beds). Modified after Chlupáč et al. (1986), Hladil et al. (1992) and Mergl (2014). in Trilobite Assemblage Of Calceola -Bearing Beds In Acanthopyge Limestone (Choteč Formation, Middle Devonian, Eifelian, Prague Basin, The Czech Republic)
Text-fig. 1. Sketch map of the Devonian of the Prague Basin, and generalised stratigraphy of the Koněprusy Limestone (Pragian), Suchomasty Limestone (Upper Emsian), Acanthopyge Limestone (Eifelian) and the top of the Acanthopyge Limestone and the Srbsko Formation (transition Eifelian-Givetian) in the Koněprusy area (with marked neptunian dykes and approximate positions of Calceola-bearing limestone beds). Modified after Chlupáč et al. (1986), Hladil et al. (1992) and Mergl (2014).
The best of two worlds: using stacked generalisation for integrating expert range maps in species distribution models
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Dataset and code for : "Representing Vector Geographic Information As a Tensor for Deep Learning Based Map Generalisation"
<p>Dataset and code supporting the experiment about map generation in the article: "Representing Vector Geographic Information As a Tensor for Deep Learning-Based Map Generalisation"</p>
Dataset for "Deriving map images of generalised mountain roads with generativeadversarial networks."
<p>This is the dataset used in the paper "Deriving map images of generalised mountain roads with generativeadversarial networks.". The data are derived from an extract of the database used to make the topographic maps at the 1:25,000 scale and 1:250,000 map scale at IGN.</p> <p>The base vector data are presented in shapefile_montain_road folder, the vector manually matched data are in shapefile_manually_matched folder; finally constructed images using manually paired data and a reasonable fixe size grid are in roads_images_manually_matched folder. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.