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187 results for “mauritius”
FIGURE 9 in The Caprellidea (Crustacea: Amphipoda) from Mauritius Island, Western Indian Ocean
FIGURE 9. Noculacia sp. Female lateral view. Scale bar: 1 mm.
FIGURE 8. Metaprotella sandalensis Mayer, 1898. Lateral view. A in The Caprellidea (Crustacea: Amphipoda) from Mauritius Island, Western Indian Ocean
FIGURE 8. Metaprotella sandalensis Mayer, 1898. Lateral view. A, male; B, female. Scale bar: 1 mm.
FIGURE 3. Hemiaegina minuta Mayer, 1890. Lateral view. A in The Caprellidea (Crustacea: Amphipoda) from Mauritius Island, Western Indian Ocean
FIGURE 3. Hemiaegina minuta Mayer, 1890. Lateral view. A, male; B, female. Scale bar: 1 mm.
FIGURE 2. Caprella scaura Templeton, 1836. Lateral view. A in The Caprellidea (Crustacea: Amphipoda) from Mauritius Island, Western Indian Ocean
FIGURE 2. Caprella scaura Templeton, 1836. Lateral view. A, male; B, female. Scale bar: 1 mm.
FIG. 2 in First records of the order Siphonophorida from Madagascar and Mauritius (Diplopoda)
FIG. 2 Distribution of Siphonophorida localities on Madagascar.
Distribution. Mauritius and Réunion Is. in Pteropodidae
Distribution. Mauritius and Réunion Is.
FIG. 1 in A preliminary account of the shallow-water echinoderms of Rodrigues, Mauritius, western Indian Ocean
FIG. 1. Sampling locations around Rodrigues.
FIG. 11 in The genera Quadrimaera and Maera (Amphipoda: Gammaridea: Melitidae) from Mauritius
FIG. 11. Maera serratipalma Nagata,, 3.6 mm, Flic-en-Flac. Scale: a 50.2 mm (pereopods P3±7).
FIG. 8 in The genus Mallacoota (Crustacea, Amphipoda, Melitidae) from Mauritius, with description of a new species
FIG. 8. Mallacoota schellenbergi Ledoyer:, 4.6 mm, Le Bouchon. Scale: a 50.2 mm (pereopods P3±7).
FIG. 4 in The genus Mallacoota (Crustacea, Amphipoda, Melitidae) from Mauritius, with description of a new species
FIG. 4. Mallacoota caerulea, new species:, 6.2 mm, Tamarin. Scale: a 5 0.4 mm (pereopods P3± 7).
FIGURE 30a in Systematics, morphology, and ecological history of the Mascarene starlings (Aves: Sturnidae) with the description of a new genus and species from Mauritius
FIGURE 30a. Ile Gombrani, with Ile Pierrot in the distance. View looking south.
FIGURE 29 in Systematics, morphology, and ecological history of the Mascarene starlings (Aves: Sturnidae) with the description of a new genus and species from Mauritius
FIGURE 29. The southern islets of Rodrigues. View looking south.
FIGURE 8b in Systematics, morphology, and ecological history of the Mascarene starlings (Aves: Sturnidae) with the description of a new genus and species from Mauritius
FIGURE 8b. by Jacques Barraband (in Levaillant 1807).
FIGURE 8c in Systematics, morphology, and ecological history of the Mascarene starlings (Aves: Sturnidae) with the description of a new genus and species from Mauritius
FIGURE 8c. by Albert Roussin (1860–68).
FIGURE 8a in Systematics, morphology, and ecological history of the Mascarene starlings (Aves: Sturnidae) with the description of a new genus and species from Mauritius
FIGURE 8a. Fregilupus varius by François-Nicolas Martinet (in Daubenton 1771–1786, pl. 697).
Figure 2 from: Byng JW, Florens FBV, Baider C (2015) Syzygium pyneei (Myrtaceae), a new critically endangered endemic species from Mauritius. PhytoKeys 46: 61-66. https://doi.org/10.3897/phytokeys.46.9039
Figure 2 - Floral and fruit characters. A and B Sole recorded images of flowering event C Close-up of dried inflorescence D Close-up of two fruits. (A–C D'Argent & Pynee MAU 25014; D D'Argent & K. Pynee MAU 26448; A and B courtesy of Kersley Pynee). Scale bar = 1 cm.
Figure 1 from: Byng JW, Florens FBV, Baider C (2015) Syzygium pyneei (Myrtaceae), a new critically endangered endemic species from Mauritius. PhytoKeys 46: 61-66. https://doi.org/10.3897/phytokeys.46.9039
Figure 1 - Vegetative characters. A and B bark C close-up of branchlet D lower leaf surface E upper leaf surface F petioles G leaf venation. (A and G Byng 83; B–F Byng 84).
FIG. 3 in Molecular characterization and morpho-taxonomy of Gambierdiscus caribaeus Vandersea, Litaker, M.A.Faust, Kibler, W.C.Holland & P.A.Tester (Dinophyceae) from Mauritius Island, South-West Indian Ocean
FIG. 3. — Scanning electron micrographs of Gambierdiscus caribaeus Vandersea, Litaker, M.A.Faust, Kibler, W.C.Holland & P.A.Tester (ISOG4): A, elliptical Po plate with pores and a large fishhook-shaped opening; B, inside top view of broken cell showing the elliptical Po plate with pores and a large fishhook shaped open- ing; C, ventral view showing the gradually ascend and then sharp descend of the right part of the cingulum near the sulcus; D, thecal pores on the smooth cell surface. Scale bars: A, B, 1 µm; C, D, 10 µm.
Underwater images collected by an Autonomous Surface Vehicle in St-Brandon, Mauritius - 2022-11-21
<i>This dataset was collected by an Autonomous Surface Vehicle in St-Brandon, Mauritius - 2022-11-21.</i> <br> <br><br>Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.<br><br> This dataset is part of larger collection referencing numerous underwater and aerial images <a href="https://doi.org/10.5281/zenodo.11125847" target="_blank">Seatizen Altas</a>. Methods, tools and scientific objectives are also described in a dedicated data paper.<br> <h2> Generic folder structure </h2> YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number <br> ├── DCIM : folder to store videos and photos depending on the media collected. <br> ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. <br> │ ├── BASE : files coming from rtk station or any static positioning instrument. <br> │ └── DEVICE : files coming from the device. <br> ├── METADATA : folder with general information files about the session. <br> ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. <br> │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. <br> │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. <br> │ ├── IA : destination folder for image recognition predictions. <br> │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. <br> └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). <br> <h2> Software </h2> All the raw data was processed using our <a href="https://github.com/SeatizenDOI/plancha-workflow/releases/tag/v1.0.3" target="_blank">worflow</a>. <br>All predictions were generated by our <a href="https://github.com/SeatizenDOI/plancha-inference/releases/tag/v1.0.0" target="_blank">inference pipeline</a>. <br>You can find all the necessary scripts to download this data in this <a href="https://github.com/SeatizenDOI/zenodo-tools" target="_blank">repository</a>. <br>Enjoy your data with <a href="https://github.com/SeatizenDOI" target="_blank">SeatizenDOI</a>! <br>
Underwater images collected by an Autonomous Surface Vehicle in St-Brandon, Mauritius - 2022-11-21
<i>This dataset was collected by an Autonomous Surface Vehicle in St-Brandon, Mauritius - 2022-11-21.</i> <br> <br><br>Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.<br><br> This dataset is part of larger collection referencing numerous underwater and aerial images <a href="https://doi.org/10.5281/zenodo.11125847" target="_blank">Seatizen Altas</a>. Methods, tools and scientific objectives are also described in a dedicated data paper.<br> <h2> Generic folder structure </h2> YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number <br> ├── DCIM : folder to store videos and photos depending on the media collected. <br> ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. <br> │ ├── BASE : files coming from rtk station or any static positioning instrument. <br> │ └── DEVICE : files coming from the device. <br> ├── METADATA : folder with general information files about the session. <br> ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. <br> │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. <br> │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. <br> │ ├── IA : destination folder for image recognition predictions. <br> │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. <br> └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). <br> <h2> Software </h2> All the raw data was processed using our <a href="https://github.com/SeatizenDOI/plancha-workflow/releases/tag/v1.0.3" target="_blank">worflow</a>. <br>All predictions were generated by our <a href="https://github.com/SeatizenDOI/plancha-inference/releases/tag/v1.0.0" target="_blank">inference pipeline</a>. <br>You can find all the necessary scripts to download this data in this <a href="https://github.com/SeatizenDOI/zenodo-tools" target="_blank">repository</a>. <br>Enjoy your data with <a href="https://github.com/SeatizenDOI" target="_blank">SeatizenDOI</a>! <br>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.