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243 results for “Coastal area”

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zenodo32/100

FIGURE 3 in Two species of Ceradocus collected from coastal areas in Japan, with description of a new species (Crustacea: Amphipoda: Maeridae)

FIGURE 3. Ceradocus kiiensis sp. nov. All but F, holotype, male, 7.4 mm (OMNH-Ar-11271); F, paratype, female, 6.6 mm (OMNH-Ar-11274). Scales: 0.05 mm.

opennotspecifiedAug 2019View details →
zenodo32/100

FIGURE 2 in Two species of Ceradocus collected from coastal areas in Japan, with description of a new species (Crustacea: Amphipoda: Maeridae)

FIGURE 2. Ceradocus kiiensis sp. nov. Holotype, male, 7.4 mm (OMNH-Ar-11271). Habitus and dorsal views of pleonites and urosomites.

opennotspecifiedAug 2019View details →
zenodo32/100

FIGURE 11 in Two species of Ceradocus collected from coastal areas in Japan, with description of a new species (Crustacea: Amphipoda: Maeridae)

FIGURE 11. Ceradocus laevis Oleröd, 1970. Large male collected together with males, 6.9 and 6.1 mm (OMNH-Ar-11275, 11276). Fixed specimen (2 hours after fixation).

opennotspecifiedAug 2019View details →
zenodo32/100

FIGURE 3 in A new species of Bauhinia from coastal areas in Northeastern Brazil

FIGURE 3. Map of Northeast Brazil showing the states of Bahia (BA) and Sergipe (SE) and the distribution of Bauhinia corifolia (red circles).

opennotspecifiedMar 2020View details →
zenodo32/100

FIGURE 1. Bauhinia corifolia—A in A new species of Bauhinia from coastal areas in Northeastern Brazil

FIGURE 1. Bauhinia corifolia—A: flowering branch (SB = 3 cm); B: detail of the branch at the petiole attachment showing the stipules (SB = 2 mm); C–E: leaf from the upper (C; SB = 2.5 cm) and lower (D) surfaces and a detail of the lower surface (E; SB = 2.7 mm); F: flower in frontal view (SB = 4.5 mm); G: detail of the petal (SB = 2.3 mm); H: longitudinal section of the base of the flower showing the tubular hypanthium, the gynoecium and one sepal (SB = 10 mm); I: the upper portion of the style and the stigma in lateral (left) and frontal (right) views (SB = 4 mm); J: anther (SB = 2.8 mm); K–L: fruit immature (K; SB = 3.4 cm) and dehiscent (L; SB = 2.3 cm). SB = Scale Bar. Drawing by L. Marinho based on the holotype.

opennotspecifiedMar 2020View details →
zenodo32/100

FIGURE 2. Bauhinia corifolia—A in A new species of Bauhinia from coastal areas in Northeastern Brazil

FIGURE 2. Bauhinia corifolia—A: flowering branch showing a flower in lateral view; B: a branch showing the entire and glossy leaves; the inset shows a detail of the lower surface of a leaflet; C–F: flowers in different views; G–H: a dehiscent fruit (G) showing a detail of a seed (H). Photos: A, C–H: Alex Popovkin; B: Tiago Vieira.

opennotspecifiedMar 2020View details →
zenodo32/100

FIGURE 1 in Centaurea susannae (Cardueae, Compositae): A new species from protected coastal areas in Portugal

FIGURE 1. Centaurea susannae: A. Habit. B. Basal leaf. C. Detail of a node and leaf insertion. D. Capitulum. E. Outer involucral bract. F. Middle involucral bract. G. Inner involucral bract. H. Section of a capitulum. I. Sterile flower corolla. J. Fertile flower corolla. K. Fertile flower corolla sectioned to show the insertion of the stamens. L. Detail of the style and stylar branches. M. Pappose achene. N. Detail of the pappus. (All illustrations made from the holotype. Drawings by Rodrigo Tavera).

opennotspecifiedDec 2012View details →
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FIGURE 2 in Centaurea susannae (Cardueae, Compositae): A new species from protected coastal areas in Portugal

FIGURE 2. Distribution of Centaurea lusitanica s.l. (), C. sphaerocephala () and C. susannae (). Records compiled by V.R. Invernón (unpubl. data).

opennotspecifiedDec 2012View details →
zenodo32/100

Figure 5 in Diversity of terrestrial isopods in a protected area characterized by salty coastal ponds (Vendicari, Sicily)

Figure 5. Similarity analysis. (A) Jaccard and Sørensen indices (in brackets). (B,C) Unweighted Pair Group Method with Arithmetic Mean (UPGMA) analyses of the five sites obtained from D(J) (B) and D(C N) (C).

opennotspecifiedSep 2011View details →
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Figure 2 in Diversity of terrestrial isopods in a protected area characterized by salty coastal ponds (Vendicari, Sicily)

Figure 2. Label, distances and altitude (metres above sea level) of each trap; orientation of each transect.

opennotspecifiedSep 2011View details →
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Figure 3 in Diversity of terrestrial isopods in a protected area characterized by salty coastal ponds (Vendicari, Sicily)

Figure 3. Activity density (AD) in the five sites for Chaetophiloscia elongata (Ce), Leptotrichus panzerii (Lp), Porcellio laevis (Pl), Armadillidium badium (Ab), Armadillidium granulatum (Ag), Armadillidium vulgare (Av) and Armadillo officinalis (Ao).

opennotspecifiedSep 2011View details →
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Figure 4 in Diversity of terrestrial isopods in a protected area characterized by salty coastal ponds (Vendicari, Sicily)

Figure 4. Diversity index values, reported monthly for each sampling site. Shannon's index, H, light grey; Pielou's index, J, dark grey. Total values (T) for H and J are also reported.

opennotspecifiedSep 2011View details →
zenodo32/100

Deep learning and surge predictions in coastal areas dataset

<p>To improve coastal adaptation and management, it is critical to better understand and predict the characteristics of sea levels. Here, we present a dataset of&nbsp;four deep learning methods to predict the surge component of sea-level variability based on local atmospheric conditions. We use an Artificial Neural Networks (ANN), Convolutional Neural Network (CNN), Long Short-Term Memory layer (LSTM) and a combination of the latter two (ConvLSTM), to construct ensembles of Neural Network (NN) models at 736 tide stations globally. The NN models show similar patterns of performance, with much higher skill in the mid-latitudes. Using our global model settings, the LSTM generally outperforms the other NN models.&nbsp;While we focus on minimising mean absolute error for the full time series, the NN models presented here could be adapted for use in forecasting extreme sea levels or emergency response.</p>

opencc-by-4.0Aug 2021View details →
dryad32/100

An invasive species erodes the performance of coastal wetland protected areas

<p><span>The world has increasingly relied upon protected areas (PAs) to rescue highly valued ecosystems from human activities, but whether PAs will fare well with bioinvasions remains unknown. By analyzing three decades of seven largest coastal PAs in China, including multiple World Natural Heritage and/or Wetlands of International Importance sites, we show that although PAs are achieving success in rescuing iconic wetlands and critical shorebird habitats from once widespread reclamation, this success is counteracted by escalating plant invasions. Plant invasions were not only more extensive in PAs than non-PA controls, but also undermined PA performance by, without human intervention, irreversibly replacing expansive native wetlands (primarily mudflats), and precluding successional formation of new native marshes. Exotic species are invading PAs globally. This rare study across large spatiotemporal scales highlights that the consequences of bioinvasions for humanity's major conservation tool may be more profound, far-reaching and critical for management than currently recognized. </span></p>

opencc-zeroSep 2021View details →
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A Spatiotemporal Dataset of Irrigated Agricultural Areas Across the Coastal Plain Region of South Carolina; USA

<p>A Spatiotemporal Dataset of Irrigated Agricultural Areas Across the Coastal Plain Region of South Carolina; USA</p>

opencc-by-4.0Oct 2021View details →
dryad32/100

Data for: Higher abundance of adult pike in Baltic Sea coastal areas adjacent to restored wetlands compared to reference bays

<p><span>The abundance of pike, a keystone top-predator, has declined dramatically in the Baltic Sea since the 1990s likely owing to recruitment failure. It has been proposed that wetland restoration can aid the recovery of the pike stock by increasing the number of recruits produced by anadromous populations. Yet, no previous studies have addressed whether wetland restorations are associated with higher abundances of adult pike in the coastal habitat. To address this, we performed standardised rod-and-reel survey fishing in paired bays with and without wetlands across three coastal areas and three years. To estimate dispersal and the contribution of wetland pike to the coastal stock, we tagged captured pike with passive integrated responders (PIT) and employed PIT-reader stations in wetland inlets. The results showed that pike abundances were on average 90% higher in bays with an adjacent wetland although the effect varied among areas. Moreover, PIT-data uncovered that wetland pike constituted a high proportion of the pike found in adjacent coastal habitats and that some wetland fish dispersed up to 10 km. These results support that wetland restoration is a valuable tool to aid the coastal pike stock and ultimately restore the function and services of the coastal ecosystem.</span></p>

opencc-zeroApr 2023View details →
zenodo32/100

A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas

<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas

<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

FIGURE 4 in A new snake of the genus Dendrelaphis Boulenger, 1890 (Squamata: Colubridae) from the coastal area of southern Vietnam

FIGURE 4. Dendrelaphis binhi sp. nov. A, drawing of head scalation (scale bar 5 mm) of the holotype ITBCZ 6663; B&amp;C, sulcal and asulcal views of hemipenis of the holotype ITBCZ 6663, respectively; D, hemipenes of paratype ITBCZ 6665; E, maxillary teeth of paratype ITBCZ 5945.

opennotspecifiedJul 2023View details →
zenodo32/100

FIGURE 3 in A new snake of the genus Dendrelaphis Boulenger, 1890 (Squamata: Colubridae) from the coastal area of southern Vietnam

FIGURE 3. Dendrelaphis binhi sp. nov. A–D, holotype ITBCZ 6663. A, specimen at its sleeping position in situ; B, dorsal view; C&amp;D, dorsal and ventral views of fresh specimen; E, patatype ITBCZ 5945 and F, unvoucher specimen at their sleeping positions in situ, respectively.

opennotspecifiedJul 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record