cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12522733
title: Aerial images collected by UAV, Aldabra arm01, Seychelles - 20221020 - 02_2

description: "This dataset was collected by an Unmanned Aerial Vehicle in Aldabra arm01, Seychelles, on 20221020
 
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 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 (tb folder) and flight statistics (html or pdf files).
 
Original tree structure:
│  └─ 20221020_SYC-aldabra-arm01_UAV-02_2
│--------  └─ DCIM
│--------  └─ GPS
│--------  └─ METADATA
 
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
 
More recent versions of this repository are available. These include data processed with OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.12522735
title: Aerial images collected by UAV, Aldabra arm06, Seychelles - 20221023 - 02_17

description: "This dataset was collected by an Unmanned Aerial Vehicle in Aldabra arm06, Seychelles, on 20221023
 
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 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 (tb folder) and flight statistics (html or pdf files).
 
Original tree structure:
│  └─ 20221023_SYC-aldabra-arm06_UAV-02_17
│--------  └─ DCIM
│--------  └─ GPS
│--------  └─ METADATA
 
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
 
More recent versions of this repository are available. These include data processed with OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.12528899
title: Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221025 - 02_32

description: "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
 "
description: This work received funding from Monaco Exploration, Ifrermer - Indian ocean and from the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.60600/yu/clawet/it2hws
title: 2736.TextGrid

description: :unav
DOI: 10.5281/zenodo.12522732
title: Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221020 - 02_2

description: "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
 "
description: This work received funding from Monaco Exploration, Ifrermer - Indian ocean and from the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.12522734
title: Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221023 - 02_17

description: "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
 "
description: This work received funding from Monaco Exploration, Ifrermer - Indian ocean and from the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.12528911
title: Orthophoto & DEM from drone images, UAV, Aldabra arm01, Seychelles - 20221020 - 02_2

description: "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
 "
description: This work received funding from Monaco Exploration, Ifrermer - Indian ocean and from the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.12528923
title: Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221023 - 02_17

description: "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
 "
description: This work received funding from Monaco Exploration, Ifrermer - Indian ocean and from the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.60600/yu/clawet/c6152g
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DOI: 10.15468/dl.t28xxs
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zingiber ottensii Valeton)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092524-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
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