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125 results for “Orthophoto”

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zenodo44/100

MS-based orthophotos (50 cm): the dynamics of the prehistoric communities located in the Mostiștea Valley and Danube Plain (between Oltenița and Călărași)

This dataset is part of a larger project on the dynamics of the prehistoric communities located in the Mostiștea Valley and Danube Plain (between Oltenița and Călărași), supervised by the ArchaeoSciences Division of the Research Institute of the University of Bucharest (ICUB)  and Kiel University (Germany), in partnership with HOGENT, University of Applied Sciences and Arts (Belgium), Museum of Bucharest, Museum of the Lower Danube Călărași, Museum of Gumelnița Civilization Oltenița, and "Vasile Pârvan" Institute of Archaeology (Romania), under the "Sultana School of Archaeology" initiative. Spatial data play a crucial role in archaeological research, and orthophotos, digital elevation models, and 3D models are frequently used for the mapping, documentation, and monitoring of archaeological sites. Thanks to the availability of compact and low-cost uncrewed airborne vehicles, the use of UAV-based photogrammetry is well matured in this field over the last two decades. More recently, compact airborne systems are also available that allow the recording of thermal data, multispectral data, and airborne laser scanning. For this project, various platforms and sensors are applied at the Chalcolithic archaeological sites in the Mostiștea Basin and Danube Valley (Southern Romania). By analyzing the performance of the systems and the resulting data, insight is given into the selection of the appropriate system for the right application. This analysis requires thorough knowledge of data acquisition and data processing as well. As both laser scanning and photogrammetry typically result in very large amounts of data, a special focus is also required on the storage and publication of the data. Hence, the objective of this project is to provide a full overview of various aspects of 3D data acquisition for UAV-based mapping. Based on the conclusions drawn in our related publications, it is stated that photogrammetry and laser scanning can result in data with similar geometrical properties when acquisition parameters are appropriately set. On the one hand, however, the used ALS-based system outperforms the photogrammetric platforms in terms of operational time and the area covered. On the other hand, conventional photogrammetry provides flexibility that might be required for very low-altitude flights, or emergency mapping. Furthermore, as the used ALS sensor only provides a geometrical representation of the topography, photogrammetric sensors are still required to obtain true color- or false color composites of the surface. Lastly, the variety of data, like pre- and post-rendered raster data, 3D models, and point clouds, requires the implementation of multiple methods for the online publication of data. Various client-side and server-side solutions are presented to make the data available for other researchers.

opencc-by-4.0Sep 2022View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221023 - 02_17

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm06, Seychelles, on 20221023 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221023_SYC-aldabra-arm06_UAV-02_17 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 277 Median height: 70 meters Survey area: 389618.75 hectares Survey from: 2022:10:23 09:11:33 to: 2022:10:23 09:27:32 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221020 - 02_2

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221020 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221020_SYC-aldabra-arm01_UAV-02_2 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 266 Median height: 70 meters Survey area: 9.92 hectares Survey from: 2022:10:20 09:50:29 to: 2022:10:20 10:04:39 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221025 - 02_32

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221025 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221025_SYC-aldabra-arm01_UAV-02_32 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 261 Median height: 100 meters Survey area: 9.41 hectares Survey from: 2022:10:25 11:57:39 to: 2022:10:25 12:08:32 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra gigi, Seychelles - 20221024 - 02_31

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra gigi, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-gigi_UAV-02_31 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -88.50 - Survey informations: No Images: 270 Median height: 148 meters Survey area: 65.52 hectares Survey from: 2022:10:24 16:49:25 to: 2022:10:24 17:04:45 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois 40m, Seychelles - 20221024 - 02_23

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois 40m, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_23 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 291 Median height: 40 meters Survey area: 34485.25 hectares Survey from: 2022:10:24 08:50:06 to: 2022:10:24 09:11:28 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221023 - 02_18

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm06, Seychelles, on 20221023 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221023_SYC-aldabra-arm06_UAV-02_18 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 293 Median height: 70 meters Survey area: 25.55 hectares Survey from: 2022:10:23 09:35:54 to: 2022:10:23 09:52:58 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois, Seychelles - 20221022 - 02_13

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois, Seychelles, on 20221022 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221022_SYC-aldabra-passe-dubois_UAV-02_13 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 274 Median height: 70 meters Survey area: 13.87 hectares Survey from: 2022:10:22 09:22:29 to: 2022:10:22 09:33:17 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra gigi, Seychelles - 20221024 - 02_29

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra gigi, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-gigi_UAV-02_29 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -90.00 - Survey informations: No Images: 325 Median height: 151 meters Survey area: 51.44 hectares Survey from: 2022:10:24 15:21:26 to: 2022:10:24 15:40:13 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe arm01, Seychelles - 20221024 - 02_28

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe arm01, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-arm01_UAV-02_28 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 241 Median height: 70 meters Survey area: 84339.72 hectares Survey from: 2022:10:24 13:18:01 to: 2022:10:24 13:34:24 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221021 - 02_7

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221021 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221021_SYC-aldabra-arm01_UAV-02_7 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: Average Camera Pitch: -75.00 - Survey informations: No Images: 119 Median height: 150 meters Survey area: 41.78 hectares Survey from: 2022:10:21 09:37:33 to: 2022:10:21 09:54:07 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221021 - 02_9

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221021 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221021_SYC-aldabra-arm01_UAV-02_9 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 111 Median height: 150 meters Survey area: 15.98 hectares Survey from: 2022:10:21 10:27:30 to: 2022:10:21 10:36:53 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois 40m, Seychelles - 20221024 - 02_24

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois 40m, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_24 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 333 Median height: 40 meters Survey area: 13.82 hectares Survey from: 2022:10:24 09:20:28 to: 2022:10:24 09:36:13 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221020 - 02_1

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221020 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221020_SYC-aldabra-arm01_UAV-02_1 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 318 Median height: 70 meters Survey area: 7.28 hectares Survey from: 2022:10:20 09:22:51 to: 2022:10:20 09:42:36 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois 40m, Seychelles - 20221024 - 02_25

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois 40m, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_25 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 315 Median height: 40 meters Survey area: 15.38 hectares Survey from: 2022:10:24 09:41:15 to: 2022:10:24 09:56:12 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois, Seychelles - 20221022 - 02_11

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois, Seychelles, on 20221022 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221022_SYC-aldabra-passe-dubois_UAV-02_11 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 293 Median height: 70 meters Survey area: 16.93 hectares Survey from: 2022:10:22 08:41:17 to: 2022:10:22 08:52:52 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221022 - 02_16

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm06, Seychelles, on 20221022 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221022_SYC-aldabra-arm06_UAV-02_16 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -89.90 - Survey informations: No Images: 22 Median height: 309 meters Survey area: 174810.88 hectares Survey from: 2022:10:22 15:03:58 to: 2022:10:22 16:47:05 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221021 - 02_8

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221021 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221021_SYC-aldabra-arm01_UAV-02_8 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 107 Median height: 150 meters Survey area: 31.74 hectares Survey from: 2022:10:21 10:02:34 to: 2022:10:21 10:20:02 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221020 - 02_4

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221020 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221020_SYC-aldabra-arm01_UAV-02_4 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 314 Median height: 70 meters Survey area: 9.04 hectares Survey from: 2022:10:20 10:32:03 to: 2022:10:20 10:47:14 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221023 - 02_21

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm06, Seychelles, on 20221023 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221023_SYC-aldabra-arm06_UAV-02_21 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 84 Median height: 70 meters Survey area: 18.64 hectares Survey from: 2022:10:23 10:55:50 to: 2022:10:23 11:06:22 "

opencc-by-4.0Jun 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record