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85 results for “Georeferencing”
ICESat-2 Calibration/Validation LVIS L1B Georeferenced Imagery V001
This data set contains georeferenced imagery from the NASA Land, Vegetation, and Ice Sensor (LVIS) PhaseOne medium-format camera, which was operated on high-altitude segments of flights during the ICESat-2 2022 Arctic Summer calibration campaign.
Georeferenced database of coworking spaces in Portugal
<p>This work is part of WG1 of the Cost Action – CA18214 project, entitled: “The geography of new working spaces and the impact on the periphery” (https://www.cost.eu/cost-action/the-geography-of-new-working-spaces-and-the-impact-on-the-periphery/), which involves 28 countries and started in 2019. The authors of the database are members of the project.</p>
Georeferenced database of coworking spaces in Lisbon Municipality
<p>A georeferenced database of the Coworking Spaces in Lisbon Municipality.</p> <p>The data was mainly collected through desk research from October 2020 to Jun 2021.</p> <p>This work is part of WG1 of the Cost Action – CA18214 project, entitled: “The geography of new working spaces and the impact on the periphery” (https://www.cost.eu/cost-action/the-geography-of-new-working-spaces-and-the-impact-on-the-periphery/), which involves 28 countries and started in 2019. The authors of the database are members of the project.</p>
Georeferenced and vectorized 1834 cadastre (with attribute data), Charleville
<p>The creation of a geographic information system (GIS) linked to socio-demographic databases is the most obvious extension of the "mpf" project to centralize, analyze and combine the many and rich cartographic archives linked to Charleville.<br> A first conclusive attempt to digitize this cadastre was carried out in 2015. It was carried out for the Saint-Sépulcre district based on a matrix and a cadastral map from 1834. Based on this positive experience feedback, it was decided to begin the full digitization and georeferencing of this cadastral plan in order to have a quality spatial repository that can be associated with socio-demographic data.<br> The use of the metric system and non-projected local coordinates suggested that absolute and relative Euclidean accuracies would be optimal. First, a geometric registration (planimetric coordinates) of the high definition digitized plane (raster format, 600 dots per inch) was started. This operation was built on the identification of common points between the contemporary urban fabric and the geometries present in the archive (street angles, intersection of buildings, etc.). The results obtained, from the geometrical method used called “Helmert transformation”, appeared satisfactory with a root mean square error (MSE) of 0.8 m from 116 common calibration points.<br> Once this georeferencing was carried out, the exhaustive digitization of the 1834 cadastre and its carto-interpretation made it possible to obtain a set of data composed of two sets of geographic information in open format (geojson) combining socio-demographic data and geometries.<br> Data set composed of three main files:<br> 1. "cadastre-1834-sheet-c1.geojson", geojson format. Cadastre digitized exhaustively from sheet C1 kept in the departmental archives of the Ardennes (© departmental archives of the Ardennes).<br> <br> [link to the departmental archives] (https://archives.cd08.fr/arkotheque/consult_fonds/fonds_seriel_resu_rech.php?ref_fonds=2). )<br> <br> National Lambert 93 projection system (EPSG 2154), absolute submeter precision and relative centimeter precision.<br> 2086 plots - geometries (closed polygons) associated with 7 attribute tables:<br> - "pk" (primary key) or unique identifier,<br> - "plot number" or plot number from the examination of the 1834 plan,<br> - "use" according to two values "public" or "private",<br> - "district" according to the 7 values "saint sepulcre", "saint-françois", "notre-dame", "saint-ignace", "hors-les-murs", "the alleys", and "small wood"<br> - "street" according to 90 values from the 1834 road network,<br> - "type" according to three values "built", "open space", "agricultural space".<br> as of 4/01/2021<br> Creative Commons License<br> "cadastre-1834-feuille-c1.geojson" by Sylvain Rassat, Center Roland Mousnier, Departmental Archives is made available under the terms of the Creative Commons Attribution-ShareAlike 4.0 International license.<br> Based on a Source Link work.<br> Permissions beyond the scope of this license can be obtained at https://www.researchgate.net/profile/Sylvain_Rassat.<br> <br> [viewable within the urban 3D model of Charleville] (https://cesium.cstb.fr/Apps/cnrs/MN_Charleville3D.html)<br> <br> 2. "ilots1834.geojson", National Lambert 93 projection system (EPSG 2154), submeter absolute precision and centimeter relative precision. 36 islands (closed polygons) associated with 2 attribute tables: - "id" (identifier) or unique identifier, - "district" according to the 4 values "saint sepulcre", "saint-françois", "notre-dame", "saint -ignace ". as of 4/01/2021<br> Creative Commons License<br> "ilots1834.geojson" by Sylvain Rassat, Roland Mousnier Center, Departmental Archives is made available under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.<br> Based on a Source Link work.<br> Permissions beyond the scope of this license can be obtained at https://www.researchgate.net/profile/Sylvain_Rassat.<br> [viewable within the urban 3D model of Charleville] (https://cesium.cstb.fr/Apps/cnrs/MN_Charleville3D.html)<br> 3. Raster slab (image) georeferenced from the 1796 "Charleville-C1" cadastral plan (tif format) kept in the departmental archives of the Ardennes (Charleville-Mézières, © Departmental archives of the Ardennes). E.M.Q 0.8 m, national Lambert 93 projection system (EPSG 2154). status as of 01/01/2018.<br> Based on a Source Link work.<br> Permissions beyond the scope of this license can be obtained at https://www.researchgate.net/profile/Sylvain_Rassat.<br> [viewable within the urban 3D model of Charleville] (https://cesium.cstb.fr/Apps/cnrs/MN_Charleville3D.html)</p>
Georeferenced and Optimized Digital Asset Files of the Milner Hall in UNESCO World Heritage Sterkfontein Caves
<p>These are the asset files attached to the article: Georeferenced and Optimized Digital Asset of the Milner Hall. The article presents a fully visualized and georeferenced digital asset of a chamber in the Sterkfontein Caves, namely, the Milner Hall, in South Africa’s Cradle of Humankind (a UNESCO World Heritage Site). The creation of which is valuable in virtually connecting the global community to this important paleontological and archeological site. A considerable number of hominin fossils and earlier Stone Age archeological artefacts have been excavated from ancient cave infills at Sterkfontein, including the important Australopithecus specimens, “Little Foot” and “Mrs Ples”. This is also the only publicly accessible, paleoanthropological fossil-bearing cave in the Cradle of Humankind. However, the creation of accurate, visually detailed documentation and emplacement within the larger geomorphological context is challenging here. Real-world constraints, such as availability of equipment, resources and skills are often problematic at heritage sites like this. Furthermore, optimizing data for many uses that is so complex in its topology, scale and textures increases the difficulty in creating a digital asset of this nature. Our asset enables a wide range of use cases, especially within heritage, and scientific planning and outreach. It is a single digital model that contains a spectrum of believable visual effects and surveying accurate layers, and ultimately addresses the aforementioned challenges.</p> <p>This video shows the methods used in the production of this asset: https://youtu.be/e3bmxOzzKSY</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.