Find research datasets worth reusing

opencc-by-4.0Aug 2009View details →

Figure 3 in Longiflagrum amphibium, a new estuarine apseudomorph tanaid (Crustacea, Peracarida) from north-western Australia

Figure 3. Longiflagrum amphibium sp. n. Paratype female. A pereopod-1 B pereopod-2 C pereopod-3 D pereopod-4 E pereopod-5 F pereopod-6 G pleopod H uropod. Scale line = 0.1 mm

opencc-by-4.0Aug 2009View details →

Figure 2 in Longiflagrum amphibium, a new estuarine apseudomorph tanaid (Crustacea, Peracarida) from north-western Australia

Figure 2. Longiflagrum amphibium sp. n. Paratype female. A antennule B antenna C mandible C' pars molaris D labium E maxilla F maxillule F' palp of maxillule G maxiliped G' maxilipedal endite H cheliped H' detail of fixed finer. Male I cheliped. Scale line = 0.1 mm for A, B, D, F, G', H, I and 0.01 mm for C, C΄, E, G.

opencc-by-4.0Aug 2009View details →

Figure 1 in Longiflagrum amphibium, a new estuarine apseudomorph tanaid (Crustacea, Peracarida) from north-western Australia

Figure 1. Longiflagrum amphibium sp. n. Holotype female. A body dorsal view B body lateral view. Scale line = 1 mm.

opencc-by-4.0May 2017View details →

Data supplementing article "Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution" under review at the Journal of Geophysical Research - Biogeoscience

These data supplement the article: Du, J. and J. Shen, Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution, under review at the Journal Of Geophysical Research: Biogeoscience contact: Jiabi Du, jiabi@vims.edu Below are descriptions of the data files included here: 1. Monthly mean tracer output [1985-2014] -netCDF format results for monthly mean tracer concentrations from different sources (Susquehanna, Potomac, Rappahannock, York, James Rivers, and Coastal Ocean) -grid information are also included 2. Matlab Scripts For Plotting.zip: -Matlab scripts used to plot the horizontal map, the vertical profile for the along channel section, the vertical profile for cross-channel sections. The script enables users to define the period and section no to plot. 3. tracer influx and outflux ratio at 9 cross-section.xls: -an excel file contains the bottom tracer influx ratio and surface tracer outflux ratio for different rivers at different sections.

opencc-by-4.0Aug 2024View details →

Data for "Enhancing Versus Suppressive Effects of Sediment-Induced Density Gradients on Estuarine Lateral Circulation"

The NetCDF files contain model output for experiments A–E from both the ENH and SUP series. The txt file provides the data sources referenced in Table A1.

dryad40/100

Application of LiDAR to assess the habitat selection of an endangered small mammal in an estuarine wetland environment

Light detection and ranging (lidar) has emerged as a valuable tool for examining the fine-scale characteristics of vegetation. However, lidar is rarely used to examine coastal wetland vegetation or the habitat selection of small mammals. Extensive anthropogenic modification has threatened the endemic species in the estuarine wetlands of the California coast, such as the endangered salt marsh harvest mouse (Reithrodontomys raviventris; SMHM). A better understanding of SMHM habitat selection could help managers better protect this species. We assessed the ability of airborne topographic lidar imagery in measuring the vegetation structure of SMHM habitats in a coastal wetland with a narrow range of vegetation heights. We also aimed to better understand the role of vegetation structure in habitat selection at different spatial scales. Habitat selection was modeled from data compiled from 15 small mammal trapping grids collected in the highly urbanized San Francisco Estuary in California, USA. Analyses were conducted at three spatial scales: microhabitat (25 m2), mesohabitat (2,025 m2), and macrohabitat (10,000 m2). A suite of structural covariates was derived from raw lidar data to examine vegetation complexity. We found that adding structural covariates to conventional habitat selection variables significantly improved our models. At the microhabitat scale in managed wetlands, SMHM preferred areas with denser and shorter vegetation, and selected for proximity to levees and taller vegetation in tidal wetlands. At the mesohabitat scale, SMHM were associated with a lower percentage of bare ground and with pickleweed (Salicornia pacifica) presence. All covariates were insignificant at the macrohabitat scale. Our results suggest that SMHM preferentially selected microhabitats with access to tidal refugia and mesohabitats with consistent food sources. Our findings showed that lidar can contribute to improving our understanding of habitat selection of wildlife in coastal wetlands and help to guide future conservation of an endangered species.

opencc-zeroJan 2024View details →

opencc-by-4.0Feb 2024View details →

Identifying Unexpected Neurotoxicity Drivers with Acetylcholinesterase Inhibition by Virtual Effect-Directed Analysis in Nationwide Estuarine Waters

Neurotoxicity is frequently observed in the global aquatic environment, threatening aquatic ecosystems and human health. However, a very limited proportion of neurotoxic effects (~1%) has been explained by known chemicals of concern. Here, we integrated machine learning, nontargeted analysis, and in vitro biotesting to identify neurotoxic drivers of acetylcholinesterase (AChE) inhibition in estuarine waters along the coastline of China. Machine learning was used as a virtual fractionation tool to reduce the complexity of chemical mixtures, thus guiding nontargeted screening of AChE inhibitors. Ultimately, sixty chemicals with diverse known and presently unknown structures were identified, explaining 82.1% of the observed AChE inhibition in estuarine water samples. Polyunsaturated fatty acids were unexpectedly found to be neurotoxic drivers, accounting for 80.5% of the overall effect. This proof-of-concept study demonstrates that our approach enables rapid and comprehensive screening of causative organic pollutants associated with various in vitro endpoints for large-scale monitoring of water quality.

dryad40/100

Developmental temperature, more than long-term evolution, defines thermal tolerance in an Estuarine Copepod

Climate change is resulting in increasing ocean temperatures and salinity variability, particularly in estuarine environments. Tolerance of temperature and salinity change interact and thus may impact organismal resilience. Populations can respond to multiple stressors in the short-term (i.e., plasticity) or over longer timescales (i.e., adaptation). However, little is known about the short- or long-term effects of elevated temperature on the tolerance of acute temperature and salinity changes. Here we characterized the response of the near-shore and estuarine copepod, Acartia tonsa, to temperature and salinity stress. Copepods originated from one of two sets of replicated >40 generation-old temperature adapted lines: Ambient (AM, 18°C) and ocean warming (OW, 22°C). Copepods from these lines were subjected to one and three generations at the reciprocal temperature. Copepods from all treatments were then assessed for differences in acute temperature and salinity tolerance. Development (one generation), three generations, and >40 generations of warming increased thermal tolerance compared to Ambient conditions, with development in OW resulting in equal thermal tolerance to three and >40 generations of OW. Strikingly, developmental OW and >40 generations of OW had no effect on low salinity tolerance relative to Ambient. By contrast, when environmental salinity was reduced first, copepods had lower thermal tolerances. These results highlight a critical role for plasticity in the copepod climate response and suggest that salinity variability may reduce copepod tolerance to subsequent warming.

opencc-zeroFeb 2024View details →

opencc-by-4.0Jan 2021View details →

Figure 4 in Individual growth and mortality of Rhithropanopeus harrisii (Decapoda: Panopeidae) in the estuarine region of Patos Lagoon, Southern Brazil

Figure 4. Size-converted catch curve. Significant fit (Fcalc.= 239.81> Fcrit.0.05 1,11 = 4.84; R2 = 0.95).

Fig. 3 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)

Fig. 3. Lowryella wadai gen. et sp. nov. Male 9.9 mm (holotype, NSMT-Cr 24358), A–G, L, M, P; ovig. female 8.2 mm (allotype, NSMT-Cr 24359), H–K, N, O, Q, R. A, head; B, antenna 1; C, antenna 2; D, upper lip; E, lower lip; F, maxilla 1; G, maxilla 2; H, left mandible; I, distal part of right mandible; J, maxilliped; K, articles 3 and 4 of maxillipedal palp (ventral view); L, N, gnathopod 1; M, O, distal articles of gnathopod 1; P, Q, gnathopod 2; R, oostegite of gnathopod 2. Scale 1, 0.5 mm for N and Q; scale 2, 1 mm for B and C; scale 3, 1 mm for L, P, and R, 0.4 mm for O; scale 4, 2 mm for A, 0.5 mm for D–I, 0.2 mm for J, K, and M.

Fig. 5 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)

Fig. 5. Lowryella wadai gen. et sp. nov. Male 9.9 mm (holotype, NSMT-Cr 24358). A–C, pleonite side plates 1–3; D, F, G, pleopods 1–3; E, retinacula of pleopod 1; H–J, uropods 1–3; K, telson. Scale 1, 1 mm for A–D, F–I, 0.1 mm for E; scale 2, 0.5 mm for J and K.

Fig. 4 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)

Fig. 4. Lowryella wadai gen. et sp. nov. Male 9.9 mm (holotype, NSMT-Cr 24358), A–K, O–S; ovig. female 8.2 mm (allotype, NSMT-Cr 24359), L–N. A, M, pereopod 3; C, E, G, pereopods 4–6; I, L, pereopod 7; B, D, F, H, J, distal parts of pereopods 3–7 (arrow in B points to locking robust-seta); K, enlarged serrate seta (distal half) on propodus of pereopod 7; N, oostegite of pereopod 5; O–S, coxal gills of gnathopod 2 and pereopods 3–6. Scale 1, 0.2 mm for B, D, F, H, and J; scale 2, 1 mm for A, C, E, G, and I; scale 3, 1 mm for L and M; scale 4, 1 mm for N–S, 0.1 mm for K.

Fig. 2 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)

Fig. 2. Photos of fixed specimens of Lowryella wadai gen. et sp. nov. Upper, male 6.5 mm (paratype, NSMT-Cr 24360); lower, female 7.8 mm (paratype, NSMT-Cr 24362). Scale: 2 mm.

Fig. 10 in Supplementary Description of Three Acartiella Species (Crustacea: Copepoda: Calanoida) from Estuarine Waters in Thailand

Fig. 10. SEM micrographs of genital double-somites of females of Acartiella, ventral side. A, A. kempi; B, A. nicolae; C, A. sinensis. Scale bars: A, 20 µm; B−C: 10 µm. Abbreviations: gp, gonoporal plate; op, opercular pad.

Fig. 9 in Supplementary Description of Three Acartiella Species (Crustacea: Copepoda: Calanoida) from Estuarine Waters in Thailand

Fig. 9. Acartiella sinensis Shen and Lee, 1963, female (A), male (B–E). A, legs 5; B, habitus, dorsal view; C, habitus, lateral view; D, right antennule; E, legs 5. Roman numerals in D indicate numbers of ancestral segments following Huys and Boxshall (1991).

Fig. 7 in Supplementary Description of Three Acartiella Species (Crustacea: Copepoda: Calanoida) from Estuarine Waters in Thailand

Fig. 7. Acartiella sinensis Shen and Lee, 1963, female. A, habitus, dorsal view; B, habitus, lateral view; C, right antenna; D, right mandible; E, right maxillule; F, left maxilla.

Fig. 6. Acartiella nicolae Dussart, 1985 female. A in Supplementary Description of Three Acartiella Species (Crustacea: Copepoda: Calanoida) from Estuarine Waters in Thailand

Fig. 6. Acartiella nicolae Dussart, 1985 female. A, right mandible; B, right maxillule; C, left maxilla; D, right maxilliped; E, right leg 1; F, right leg 2; G, right leg 3; H, right leg 4; I, legs 5.

Fig. 5. Acartiella nicolae Dussart, 1985, female. A in Supplementary Description of Three Acartiella Species (Crustacea: Copepoda: Calanoida) from Estuarine Waters in Thailand

Fig. 5. Acartiella nicolae Dussart, 1985, female. A, habitus, dorsal view; B, habitus, lateral view; C, right antennule; D, left antenna. Roman numerals in C indicate numbers of ancestral segments following Huys and Boxshall (1991).

Fig. 3. Acartiella kempi Sewell, 1914 in Supplementary Description of Three Acartiella Species (Crustacea: Copepoda: Calanoida) from Estuarine Waters in Thailand

Fig. 3. Acartiella kempi Sewell, 1914, female (A) and male (B–D). A, left maxilliped; B, habitus, dorsal view; C, habitus, lateral view; D, right antennule. Roman numerals in D indicate numbers of ancestral segments following Huys and Boxshall (1991).

Fig. 1 in Supplementary Description of Three Acartiella Species (Crustacea: Copepoda: Calanoida) from Estuarine Waters in Thailand

Fig. 1. Distribution of the genus Acartiella based on the present and previous data. Three sampling sites in the present study in Thailand: Station 1, Prasae Estuary, Rayong Province, Gulf of Thailand (black triangle); Station 2, Bangpakong Estuary, Chon Buri Province, Gulf of Thailand (black circle); Station 3, Kraburi Estuary, Ranong Province, Andaman Sea (black square);. Previous distributional data: A. nicolae (Dussart 1985; Mulyadi 2004; Razouls et al. 2014); A. sinensis (Shen and Lee 1963; Zheng et al. 1982; Suwanrumpha 1987; Pholpunthin 1997; Orsi and Ohtsuka 1999; Pinkaew 2003; Shang et al. 2007; Razouls et al. 2014); A. kempi (Sewell 1914; Razouls et al. 2014); A. gravelyi (Sewell 1919; Razouls et al. 2014); A. keralensis (Wellershaus 1969; Razouls et al. 2014); A. major (Sewell 1932; Razouls et al. 2014); A. minor (Sewell 1919; Razouls et al. 2014); A. natalensis (Connell and Grindly 1974; Razouls et al. 2014); A. sewelli (Steur 1934; Razouls et al. 2014); A. tortaniformis (Sewell 1932; Razouls et al. 2014); and A. faoensis (Khalaf 1991; Ali et al. 2009; Peyghan et al. 2011; Razouls et al. 2014).