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.
502
datasets available to search
ShareScore release 0.9.0
Dataset results
502 results for “lagoons”
The morphometric acclimation to depth explains the long-term resilience of the seagrass Cymodocea nodosa in a shallow tidal lagoon
<p>Original Data set for the article "The morphometric acclimation to depth explains the long-term resilience of the seagrass <em>Cymodocea nodosa</em> in a shallow tidal lagoon" available in the Journal of Environmental Management (JEMA).</p> <p>The sampling site is located in inner water body of Cadiz Bay (SW, Spain) ((36° 23’ - 36° 37’N and 6° 8’ - 6° 15’W).</p>
FIG. 3. — Scherocumella boxshalli n in A new species of Scherocumella (Crustacea, Cumacea) from a coral lagoon of Lifou, New Caledonia
FIG. 3. — Scherocumella boxshalli n. sp., Lifou, Loyalty Islands, New Caledonia, adult paratype (MNHN-Cu982); A, whole body in lateral view; B, maxilliped 1; C, maxilliped 3; D, pereopod 1; E, pereopod 2; F, pereopod 3; G, pereopod 4; H, pereopod 5; I, uropod. Scale bars: 100 µm.
FIG. 2. — Scherocumella boxshalli n in A new species of Scherocumella (Crustacea, Cumacea) from a coral lagoon of Lifou, New Caledonia
FIG. 2. — Scherocumella boxshalli n. sp., Lifou, Loyalty Islands, New Caledonia, SEM photos, adult; A, carapace in lateral view; B, carapace in dorso-lateral view; C, microstructure of integument near the lateral margin showing the scales and two club-like setae; D, microstructure of integument near the middorsal line, where the scales are not visible and the club-like setae are more abundant. Scale bars: A, B, 200 µm; C, 20 µm; D, 50 µm.
FIG. 1. — Scherocumella boxshalli n in A new species of Scherocumella (Crustacea, Cumacea) from a coral lagoon of Lifou, New Caledonia
FIG. 1. — Scherocumella boxshalli n. sp., Lifou, Loyalty Islands, New Caledonia, adult holotype (MNHN-Cu981); A, whole body in lateral view; B, antenna 1; C, mandible; D, maxilla 1; E, maxilla 2; F, maxilliped 2; G, maxilliped 3; H, pereopod 1; I, pereopod 2; J, pereopod 5; K, uropod. Scale bars: 100 µm.
Fig. 8 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 8. Mean fish larvae density as a function of Rotifera and Copepoda density in marginal lagoons along the Cuiabá River between December 2006 and April 2007.
Fig. 6 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 6. Correlation of the mean density of fish larvae with: (a) Mean depth of the lagoons during the sampled periods; (b) Fluviometric level of the Cuiabá River during those periods; (c) Mean zooplankton density during those periods; and (d) Mean water transparency of the lagoons during the sampling periods.
Fig. 3 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 3. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006 as a function of: (a) Sampling point (1 = entrance, 2 = middle, 3 = end of lagoon, 1.1 = entrance of channel and 1.2 = end of channel, only in lagoons that present this characteristic); (b) Frequency of occurrence of the four taxa with the highest densities; and (c) Developmental stages.
Fig. 1 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 1. Location of sampling sites in the floodplain of Cuiabá River, Pantanal, Mato Grosso State, Brazil.
Fig. 2 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 2. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006.
Fig. 4 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 4. Temporal distribution of fish larvae in marginal lagoons along the Cuiabá River between December 2006 and April 2007.
Fig. 7 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 7. Correlation of the mean larval density and precipitation in marginal lagoons along the Cuiabá River between December 2006 and April 2007.
Fig. 1 in Stability and spatio-temporal structure in fish assemblages of two floodplain lagoons of the lower Orinoco River
Fig. 1. Locations of the two studied lagoons in the right bank of the lower Orinoco river, between the cities of Puerto Ordaz and Ciudad Bolívar, Bolívar State, Venezuela. The arrows in black indicate the lagoons.
Fig. 3 in Stability and spatio-temporal structure in fish assemblages of two floodplain lagoons of the lower Orinoco River
Fig. 3. Percentage abundance of total species (S) and number of species for orders in each habitats of the lagoons. The abbreviations of the habitats are explained in the Fig. 2.
Fig. 4 in Stability and spatio-temporal structure in fish assemblages of two floodplain lagoons of the lower Orinoco River
Fig. 4. Mean values (+ confidence interval) of abundance, biomass and richness by habitats and hydrological phases between lagoons. The abbreviations of the hydrological phases and habitats are explained in the Fig. 2.
Fig. 6. nMDS analysis during high waters and low waters. a and b in Stability and spatio-temporal structure in fish assemblages of two floodplain lagoons of the lower Orinoco River
Fig. 6. nMDS analysis during high waters and low waters. a and b = gill nets sampling; c and d = seine net sampling. Each symbol represents one sample, filled symbols belongs to Las Arhuacas (arh) and those of open symbols to Los Cardonales (car). The dissimilarity between the sampling is approximately proportional to the distance, that is to say to greater distance greater dissimilarity. The abbreviations of the habitats are explained in the Fig. 2.
Fig. 2 in Stability and spatio-temporal structure in fish assemblages of two floodplain lagoons of the lower Orinoco River
Fig. 2. Percentage distribution abundance and biomass of fish by habitats in each hydrological phase in both lagoons. DW = Descent water, LW = Low water, RW = Raise water and HW = High water. RO = Rocky outcrops, FGF = Flooded grass fields, FF = Floodplain forests, B = Beach, AV = Aquatic vegetation, LZFT = Littoral zone with fallen trunks and LZOW = Littoral zone and open waters.
Fig. 7 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 7. Cluster dendrogram based on similarities of the samples collected in Ibiraquera Lagoon from December 2003 to December 2004. Samples were clustered by Bray Curtis similarity based on log (x+1) transformed abundances of 12 families.
Fig. 6 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 6. Two-way ANOVA interaction results for log-abundance of (a) engraulid and (b) mugilid larvae.
Fig. 5 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 5. Larvae fish families' composition in Ibiraquera Lagoon over 13 months, from December 2003 to December 2004.
Fig. 4 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 4. Fish larvae (a) dominance and (b) frequency of occurrence in Ibiraquera Lagoon, from December 2003 to December
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.