Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,398
datasets available to search
ShareScore release 0.9.0
Dataset results
1,398 results for “Shallow Waters”
FIGURE 3 in Bearing the wrong identity: A case study of an Indo-Pacific common shallow water sponge of the genus Neopetrosia (Haplosclerida; Petrosiidae)
FIGURE 3. Spicule arrangement in holotypes of A Neopetrosia chaliniformis (Thiele, 1899) ZMB2889, B Neopetrosia exigua (Kirkpatrick, 1901), BMNH1898.12.20.49, C Xestospongia pacifica Kelly-Borges & Bergquist, AMS Z4999, and D Neopetrosia pandora de Laubenfels, 1954, USNM4806. Scale bar= 150 µm.
FIGURE 7. Symphurus hongae n in Unraveling cryptic diversity among shallow-water tonguefishes (Pleuronectiformes: Cynoglossidae: Symphurus) from the Indo-West Pacific region, with descriptions of five new species
FIGURE 7. Symphurus hongae n. sp., holotype, ASIZP0067658, male, 53.3 mm SL, Off Nangfang-Ao, North eastern Taiwan. A. Ocular-side pigmentation of holotype. B. Blind-side pigmentation of holotype. C. Symphurus hongae n. sp., paratype, ASIZP0072360, male, 43.1 mm SL, Off Nangfang-Ao, Northeastern Taiwan. D. Blind-side pigmentation of paratype. Scale equals 10 mm.
FIGURE 4 in Unraveling cryptic diversity among shallow-water tonguefishes (Pleuronectiformes: Cynoglossidae: Symphurus) from the Indo-West Pacific region, with descriptions of five new species
FIGURE 4. Symphurus holothuriae, holotype, BMNH 1892.1.14.34, male, 32.2 mm SL, off Holothuria Bank, northwestern Australia. A. Ocular-side pigmentation of preserved specimen. B. Blind-side pigmentation of same specimen. Scale equals 10 mm.
FIGURE 8 in Unraveling cryptic diversity among shallow-water tonguefishes (Pleuronectiformes: Cynoglossidae: Symphurus) from the Indo-West Pacific region, with descriptions of five new species
FIGURE 8. Comparison of selected diagnostic features for Symphurus hongae and S. robustus. Data for these two species are presented for individuals. A. Snout length vs. Postorbital length (both as % of HL). B. Snout length vs. Length of eye diameter (both as % of HL). C. Body depth (as % of SL) vs. Body thickness (as % of BD). D. Predorsal length (as % of HL) vs. Head length (as % of SL).
FIGURE 2 in Unraveling cryptic diversity among shallow-water tonguefishes (Pleuronectiformes: Cynoglossidae: Symphurus) from the Indo-West Pacific region, with descriptions of five new species
FIGURE 2. Symphurus microrhynchus, holotype, ZMA 108193, immature female, 42.2 mm SL, Java Sea. A. Ocular-side pigmentation of preserved specimen. B. Blind-side pigmentation of same specimen. Scale equals 10 mm.
FIGURE 3 in Unraveling cryptic diversity among shallow-water tonguefishes (Pleuronectiformes: Cynoglossidae: Symphurus) from the Indo-West Pacific region, with descriptions of five new species
FIGURE 3. Geographic distribution of Symphurus microrhynchus, S. holothuriae, and five new species of Indo-West Pacific shallow-water tonguefishes based on specimens examined in this study. Symbols may represent more than one locality and/or more than a single collection from each locality.
FIGURE 8. Comparison between S in Sabellariids (Annelida: Sedentaria: Sabellariidae) from shallow waters of the Gulf of Mexico and the Caribbean Sea, including three new species
FIGURE 8. Comparison between S. floridensis (UF283, Florida, A–E) and S. bella (Brazil, F–J). A, Outer palea. B, Middle long palea, lateral view. C, Middle short palea, ventral view. D, Inner palea, lateral view. E, Tip of the inner palea. F, Outer palea, G, Middle long palea, lateral view. H, Middle short palea, dorsal view. I, Inner palea, lateral view. J, Inner palea, ventral view. Scale bars: A, C–E: 100 µm, B, 200 µm. Photos taken by Ivison Brandão: F–J.
FIGURE 5 in Sabellariids (Annelida: Sedentaria: Sabellariidae) from shallow waters of the Gulf of Mexico and the Caribbean Sea, including three new species
FIGURE 5. Phragmatopoma caudata (UF3106). A, Anterior region, dorsal view. B, Anterior region, right lateral view. C, Median ridge. D, Outer dorsal palea. E, Details of median plume. F, Middle dorsal palea. G, Inner dorsal palea. H, Abdominal uncini; I, Oocytes. Scales bars: A–B: 1 mm; C: 0.5 mm; D, F–G, I: 100 µm; E: 50 µm; H: 10 µm. Abbreviation: mo, median ridge.
FIGURE 4. Idanthyrsus mikeli n in Sabellariids (Annelida: Sedentaria: Sabellariidae) from shallow waters of the Gulf of Mexico and the Caribbean Sea, including three new species
FIGURE 4. Idanthyrsus mikeli n. sp. (ECOSUR-252). A, Outer palea. B, Basal region of the outer palea. C, Inner palea. D, Notochaetae parathoracic. E, Neurochaetae parathoracic. F, Abdominal chaetae. G, Abdominal uncini. H–I, Opercular paleae and nuchal hook of one paratype (ECOSUR-253). Scale bars: A, C–D, F, H–J: 100 µm; B: 20 µm; E: 50 µm; G: 5 µm. Abbreviation: Li, limbation.
FIGURE 14. Superfamily Majoidea Samouelle, 1819 in Checklist of the shallow-water marine Brachyura (Crustacea: Decapoda) of Barbados, West Indies
FIGURE 14. Superfamily Majoidea Samouelle, 1819, Pitho mirabilis (Herbst, 1794), male, cw 13.1 mm (BLSZ 246): A, dorsal view of carapace; B, dorsal view of frontal margin; C, right third maxilliped; D, ventral view of frontal margin. Scale bars: A, 20 mm; B–D, 1 mm.
FIGURE 10. Superfamily Majoidea Samouelle, 1819 in Checklist of the shallow-water marine Brachyura (Crustacea: Decapoda) of Barbados, West Indies
FIGURE 10. Superfamily Majoidea Samouelle, 1819, dorsal habitus: A, Mithraculus coryphe (Herbst, 1801), male, cw 8.2 mm (BLSZ 121); B, Mithraculus forceps A. Milne-Edwards, 1875, female, cw 15.4 mm (BLSZ 208); C, Mithrax hispidus (Herbst, 1790), male (juv.), cw 11.2 mm (BLSZ 029). Scale bars: A, B: 20 mm; C = 10 mm.
Shallow subsurface water-ice distribution in the lunar south pole: Analysis based on Mini-RF and multi-metrics
Open the record for dataset details and reuse information.
FIGURE 30 in Shallow-water Demospongiae (Porifera) from Sodwana Bay, iSimangaliso Wetland Park, South Africa
FIGURE 30. Psammocinia alba sp. nov. A. In situ; B & C. Skeletal architecture (B, x5; C, x10)
DTM and orthomosaic of a shallow water area near Allacciante - Valgrande channels (Venice Lagoon, Italy) - BRAHMS project
<p>DTM and orthomosaic model of a 6-by-12-m shallow water area (average depth about 1.5 m) on a subidal flat near Allacciante and Valgrande channels, Lagoon of Venice (IT), generated by SfM photogrammetric approach. Photos were acquired on 11 May 2022 by a snorkel diver holding a hydrodynamic board equipped with 4 synchronized action cameras, 50-90 cm from the seafloor. Two pairs of cameras were fixed to the board 70 cm apart, each pair consisting of one camera facing nadir and one inclined approx. 45°. Cameras were set in time-lapse mode (2 fps, wide FoV, ISO 100-400). To cover the area, the diver swimmed back and forth, producing a pattern mostly composed of 11 longitudinal swaths partially overlapping. Reel lines were preliminarily deployed on the seafloor as a guide, together with 5 photogrammetric plates (33x33 cm). For each of 4 vertices and 5 plates, lat/long coordinates were acquired with Trimble SPS585 GNSS receiver (RTK corrections) and z-value as water depth measured with RBR solo<sup>3</sup> depth logger. Analyses were perfomed with Agisoft Metashape. Sparse point cloud reconstruction was carried out through incremental alignment procedure, with a total of 2668 photos alligned. DTM (in m, water surface during depth measurements being zero elevation) was created with dense cloud basis and WGS84/UTM 33N projection. Orthomosaic was created based on DTM and same coordinate system. Scaling and georeferentiation were based on 9 ground control points (4 vertices and 5 plates). The resolution of DTM and orthomosaic are 2.01 mm/pix and 0.503 mm/pix, respectively.</p>
DTM and orthomosaic of a shallow water area near Lazzareto Nuovo island (Venice Lagoon, Italy) - BRAHMS project
<p>DTM and orthomosaic model of a 6-by-12-m shallow water area (average depth about 1.5 m) along a minor tidal channel branching from Canale Carbonera near Lazzareto Nuovo island, Lagoon of Venice (IT), generated by SfM photogrammetric approach. Photos were acquired on 6 October 2022 by a snorkel diver holding a hydrodynamic board equipped with 4 synchronized action cameras, 70-120 cm from the seafloor. Two pairs of cameras were fixed to the board 70 cm apart, each pair consisting of one camera facing nadir and one inclined approx. 45°. Cameras were set in time-lapse mode (2 fps, wide FoV, ISO 100-400). To cover the area, the diver swimmed back and forth, producing a pattern mostly composed of 12 longitudinal swaths partially overlapping. Reel lines were preliminarily deployed on the seafloor as a guide, together with 5 photogrammetric plates (33x33 cm). For each of 4 vertices and 5 plates, lat/long coordinates were acquired with Trimble SPS585 GNSS receiver (RTK corrections) and z-value as water depth measured with RBR solo<sup>3</sup> depth logger. Analyses were perfomed with Agisoft Metashape. Sparse point cloud reconstruction was carried out through incremental alignment procedure, with a total of 3815 photos alligned. DTM (in m, water surface during depth measurements being zero elevation) was created with dense cloud as basis and WGS84/UTM 33N projection. Orthomosaic was created based on DTM and same coordinate system. Scaling and georeferentiation were based on 9 ground control points (4 vertices and 5 plates). The resolution of DTM and orthomosaic are 1.28 mm/pix and 0.32 mm/pix, respectively.</p>
Acoustic Doppler current profiles on a shallow water area near Lazzareto Nuovo island (Venice Lagoon, Italy) - BRAHMS project
<p>Vertical profiles of 3D currents (10cm-thick cells) collected every 10-15 minutes during few hours (a tidal phase) throughout a section in a shallow water area (average depth about 1.5 m) along a minor tidal channel branching from Canale Carbonera near Lazzareto Nuovo island, Lagoon of Venice (IT). A mini-raft has been equipped with a down-looking ADCP and pulled back and forth (with a pulley) between two poles driven on the seabed.</p>
Acoustic Doppler current profiles on a shallow water area near Allacciante - Valgrande channels (Venice Lagoon, Italy) - BRAHMS project
<p>Vertical profiles of 3D currents (10cm-thick cells) collected every 10-15 minutes during few hours (a tidal phase) throughout a section in a shallow water area (average depth about 1.5 m) on a subidal flat near Allacciante and Valgrande channels, Lagoon of Venice (IT). A mini-raft has been equipped with a down-looking ADCP and pulled back and forth (with a pulley) between two poles driven on the seabed.</p>
Profile of suspended sediment concentration in submerged vegetated shallow water flow_20191116
<p>data set for "Profile of suspended sediment concentration in submerged vegetated shallow water flow"</p>
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.