Find research datasets worth reusing

Underwater images collected by Scuba diving in La-Saline, Réunion - 2015-08-07

This dataset was collected by Scuba diving in La-Saline, Réunion - 2015-08-07. 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. Underwater Images Collected by Scuba Diving in Réunion Island during the Hyscores Project. For more details, visit the <a href="https://archimer.ifremer.fr/doc/00350/46122/" target="_blank">Hyscores Project</a>. <h2> Generic folder structure </h2> YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── 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. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). <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>. All predictions were generated by our <a href="https://github.com/SeatizenDOI/plancha-inference/releases/tag/v1.0.0" target="_blank">inference pipeline</a>. 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>. Enjoy your data with <a href="https://github.com/SeatizenDOI" target="_blank">SeatizenDOI</a>!

Underwater images collected by Scuba diving in St-Gilles, Réunion - 2015-06-19

This dataset was collected by Scuba diving in St-Gilles, Réunion - 2015-06-19. 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. Underwater Images Collected by Scuba Diving in Réunion Island during the Hyscores Project. For more details, visit the <a href="https://archimer.ifremer.fr/doc/00350/46122/" target="_blank">Hyscores Project</a>. <h2> Generic folder structure </h2> YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── 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. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). <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>. All predictions were generated by our <a href="https://github.com/SeatizenDOI/plancha-inference/releases/tag/v1.0.0" target="_blank">inference pipeline</a>. 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>. Enjoy your data with <a href="https://github.com/SeatizenDOI" target="_blank">SeatizenDOI</a>!

Underwater images collected by Scuba diving in La-Saline, Réunion - 2015-09-25

This dataset was collected by Scuba diving in La-Saline, Réunion - 2015-09-25. 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. Underwater Images Collected by Scuba Diving in Réunion Island during the Hyscores Project. For more details, visit the <a href="https://archimer.ifremer.fr/doc/00350/46122/" target="_blank">Hyscores Project</a>. <h2> Generic folder structure </h2> YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── 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. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). <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>. All predictions were generated by our <a href="https://github.com/SeatizenDOI/plancha-inference/releases/tag/v1.0.0" target="_blank">inference pipeline</a>. 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>. Enjoy your data with <a href="https://github.com/SeatizenDOI" target="_blank">SeatizenDOI</a>!

Underwater images collected by Scuba diving in La-Saline, Réunion - 2015-06-15

This dataset was collected by Scuba diving in La-Saline, Réunion - 2015-06-15. 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. Underwater Images Collected by Scuba Diving in Réunion Island during the Hyscores Project. For more details, visit the <a href="https://archimer.ifremer.fr/doc/00350/46122/" target="_blank">Hyscores Project</a>. <h2> Generic folder structure </h2> YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── 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. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). <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>. All predictions were generated by our <a href="https://github.com/SeatizenDOI/plancha-inference/releases/tag/v1.0.0" target="_blank">inference pipeline</a>. 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>. Enjoy your data with <a href="https://github.com/SeatizenDOI" target="_blank">SeatizenDOI</a>!

Underwater images collected by Scuba diving in La-Saline, Réunion - 2015-12-10

This dataset was collected by Scuba diving in La-Saline, Réunion - 2015-12-10. 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. Underwater Images Collected by Scuba Diving in Réunion Island during the Hyscores Project. For more details, visit the <a href="https://archimer.ifremer.fr/doc/00350/46122/" target="_blank">Hyscores Project</a>. <h2> Generic folder structure </h2> YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── 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. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). <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>. All predictions were generated by our <a href="https://github.com/SeatizenDOI/plancha-inference/releases/tag/v1.0.0" target="_blank">inference pipeline</a>. 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>. Enjoy your data with <a href="https://github.com/SeatizenDOI" target="_blank">SeatizenDOI</a>!

FIG. 5. Neobythites unicolor, USNM 422668, 93 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean

FIG. 5. Neobythites unicolor, USNM 422668, 93 mm SL, from off Curaçao; (A) after several months of freezing and subsequent defrosting (Carole Baldwin and Ross Robertson; mirror image); (B) after 508 days preservation (Marcus Krag).

FIG. 3 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean

FIG. 3. Neobythites unicolor encountered during ROV dives (unvouchered photographs). (A, B) USNM 444965, ca. 10 cm SL, off Virgin Islands, Anegada Passage, Noroit Seamount (Ocean Exploration Trust and U.S. Geological Survey); (C) USNM 444964, ca. 8 cm SL, off Puerto Rico, Mona Passage, Pichincho plateau. (NOAA Okeanos Explorer Program).

FIG. 2 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean

FIG. 2. Neobythites unicolor from off Curaçao (A–K) and from more northern (158N) areas (L–N). (A–D, in red frame) USNM 432331, 94 mm SL; (A) in situ photograph, inside a grass-mat trap; (B, C) shortly after capture above two different backgrounds; (D) after preservation; (E–H, in blue frame) USNM 431721, 69 mm SL; (E) in situ photograph; (F, G) shortly after capture above two different backgrounds; (H) after preservation; (I–K, in green frame) USNM 433497, 38 mm SL; (I, J) shortly after capture above two different backgrounds; (K) after preservation; (L–M, in yellow frame) USNM 440570, 65 mm SL, from off Dominica; (L) shortly after capture; (M) after freezing and preservation; (N) ZMUC P77940, paratype, 104 mm SL, from NW Caribbean. Sources: (A, E) Carole Baldwin and Ross Robertson, courtesy of substation Curaçao; (B, C, F, G, I, J) Carole Baldwin and Ross Robertson; (D, H, K, M, N) Marcus Krag, ZMUC; (L) Chris Richards, Curaçao Sea Aquarium.

FIG. 1 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean

FIG. 1. Distribution of Neobythites unicolor. Localities of specimens encountered and collected by the Curasub submersible are indicated by squares; triangles indicate the two ROV stations with verified images of this species; circles indicate all localities of specimens studied by Nielsen (1999), slightly updated (see text). Enlarged symbols with numbers indicate multiple, closely overlapping localities.

Figure 10 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 10. Frame sequences of videos showing feeding behavior. A, Tropisternus latus Brullé, 1837, note that the larvae raise the head out of water while feeding. B, Hydrophilus (Dibolocelus) palpalis Brullé, 1837. C, Hemiosus dejeanii (Solier, 1849). D, Oocyclus magnifica Hebauer & Wang, 1998. See also Supporting Information, Videos S1–S4.

Figure 7 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 7. Labroclypeal region of Laccobius larvae. A, B, Laccobius kunashiricus Shatrovskiy, 1984, third-instar larva, SEM micrograph, dorsal view: A, labroclypeus; B, left epistomal lobe. C–E, Laccobius (Microlaccobius) sp., third-instar larva, SEM micrograph, dorsal view: C, left epistomal lobe; D; detail of gFR2 setae; E, seta-like cuticular projections of the latero-ventral membranous lobe. Abbreviations: EpLb, epistomal lobe; NS, nasale. Colours: light blue, frontoclypeal region; green, gFR1, group of sensilla of nasale; violet, gFR2, group of sensilla of epistomal lobe.

Figure 4. Piercing-sucking mandibles. A–C in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 4. Piercing-sucking mandibles. A–C, Hybogralius hartmeyeri (Régimbart, 1908), third-instar larva, light microscope photographs, dorsal view: A, left mandible; B, detail of mandibular teeth; C, right mandible. D–F, Epimetopus mendeli Fikáček et al. 2011, first-instar larva, SEM micrograph, dorsal view: D, left mandible; E, detail of mandibular teeth; F, right mandible. Abbreviations: rc1, first retinaculum; rc2, second retinaculum; rc3, third retinaculum; pt, prostheca.

Figure 1 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 1. Head capsule of larvae with chewing (A–C) and piercing-sucking (D–I) feeding system, SEM micrograph, dorsal view. A, Hydrophilus (Dibolocelus) palpalis Brullé, 1837, second-instar larva. B, Tropisternus setiger Germar, 1824, firstinstar larva. C, Derallus paranensis Oliva, 1981, first instar larva. D, Berosus sp., third-instar larva. E, Hemiosus bruchi Knisch, 1924, third-instar larva. F, Oocyclus iguazu (Oliva 1996), third-instar larva. G, Laccobius kunashiricus Shatrovskiy, 1984, third-instar larva. H, Hybogralius hartmeyeri (Régimbart, 1908), third-instar larva, light microscope photograph. I, Epimetopus mendeli Fikáček et al. 2011, first-instar larva.

Figure 3. Piercing-sucking mandibles. A–C in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 3. Piercing-sucking mandibles. A–C, Berosus patruelis Berg, 1885, first-instar larva, SEM micrograph: A, left mandible, ventral view; B, detail of mandibular teeth, ventral view; C, right mandible, dorsal view. D–F, Laccobius hammondi Gentili, 1984, third-instar larva, SEM micrograph, dorsal view: D, left mandible; E, detail of mandibular teeth; F, right mandible. G–I, Oocyclus iguazu (Oliva, 1996) third-instar larva, SEM micrograph, dorsal view; G, left mandible; H, detail of mandibular teeth; I, right mandible.

Figure 15 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 15. Phylogeny of the Hydrophiloidea with mapped evolution of tracheal system (A) and mouthparts (B, C). Two alternative ancestral state reconstructions of mouthparts, considering mouthparts of the Pelthydrus-group as: B, piercingsucking; C, chewing (only tribe Laccobiini shown). D, number of species of aquatic genera of Hydrophilidae with known larvae. Colors of branches/bars/pie-charts indicate functional morphology of mouthparts (red = piercing-sucking, blue = chewing, green = filter-feeding) and development of the tracheal system (grey = open; orange = closed).

Figure 6 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 6. Labroclypeal region of Hemiosus larvae. A, B, Hemiosus bruchi Knisch, 1924, third-instar larva, SEM micrograph, dorsal view: A, labroclypeus; B, left epistomal lobe. C–E, Hemiosus multimaculatus (Jensen-Haarup, 1910), third-instar larva, dorsal view: C, left epistomal lobe, SEM micrograph; D, detail of gFR2 serrated setae, SEM micrograph; E, left epistomal lobe, light microscope photograph. Abbreviations: EpLb, epistomal lobe; NS, nasale. Colours: light blue, frontoclypeal region; green, gFR1, group of sensilla of nasale; violet, gFR2, group of sensilla of epistomal lobe.

Figure 5 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 5. Labroclypeal region of larvae with chewing feeding system, SEM micrograph, dorsal view. A, Tropisternus acaragua Bachmann, 1969, first-instar larva. B, Hydrochara caraboides (Linnaeus, 1758), first-instar larva. C, Hydrophilus (Dibolocelus) palpalis Brullé, 1837, second-instar larva. D, Derallus paranensis Oliva, 1981, first instar larva. E, Helochares ventricosus Bruch, 1915, first-instar larva. F, Hydroglobus puncticolle Bruch, 1915, third-instar larva. G, Dactylosternum cacti (LeConte, 1855), third-instar larva. H, Cercyon quisquilius (Linnaeus, 1761), third-instar larva, white arrow indicates labroclypeal notch. Colours: light blue, frontoclypeal region; green, gFR1, group of sensilla of nasale; violet, gFR2, group of sensilla of epistomal lobe.

Figure 2 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 2. Chewing mandibles, SEM micrograph, dorsal view. A, Derallus sp., first-instar larva. B, Enochrus sp., firstinstar larva. C, Tropisternus sp., second-instar larva. D, Hydrophilus (Dibolocelus) palpalis Brullé, 1837, first-instar larva. E, Dactylosternum cacti (LeConte, 1855), third-instar larva. F, Cercyon quisquilius (Linnaeus, 1761), third-instar larva. Abbreviations: rc1, first retinaculum; rc2, second retinaculum; rc3, third retinaculum.

Figure 12 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 12. Schematic drawing of the piercing-sucking feeding mechanism: 1, sucking channel; 2, epistomal-mandibular coupling system; 3, flexible area.

Figure 11 in REVIEW Going underwater: multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)

Figure 11. Summary of the main structures related with piercing-sucking feeding mechanism, SEM micrograph. A, B, Berosus sp., third-instar larva: A, lobular-mandibular coupling system, dorsal view; B, detail of lobular-mandibular coupling system, ventral view. C, Laccobius (Microlaccobius) sp., third-instar larva, left epistomal lobe, dorsal view.