Find research datasets worth reusing

opencc-by-4.0Dec 2023View details →

FIGURE 1 in Population structure of the seahorse Hippocampus reidi (Syngnathiformes: Syngnathidae) in a Brazilian semi-arid estuary

FIGURE 1 | Geographic location of the Pacoti River estuary, Ceará, Brazil (A, B), indicating Hippocampus reidi sampling locations (A to K) (C).

opencc-by-4.0May 2024View details →

Dataset: Drone orthomosaics for remote detection of Pacific oysters (Kingsbridge Estuary, UK)

<p><span>A field campaign was carried out at two distinctive intertidal cases at </span><span>Kingsbridge Estuary, UK. Drone images were collected around low tide on </span><span>each site of the estuary selected by the high number of Pacific oysters reported </span><span>and their very different characteristic landscapes of mudflats and rocky shore. D<span>rone images were collected using </span><span>a DJI Phantom4 Pro v2.0 in a pre-planned grid mission using the ”DJI </span><span>GS Pro” mission planner software.</span><span> </span><span>Photos were acquired at 10 m altitude </span><span>(resulting in a pixel size of</span><span> </span><span>&sim;</span><span>0.3 px/cm) with a front overlap ratio of 80% </span><span>and a side overlap of 70%.</span><span> </span></span></p> <p><span>The two sites included in this work are:</span><br><span>•</span><span> </span><span>Site A: Collapit Creek mudflats</span><span>. An area of approximately 1.67 ha</span> <span>intertidal mudflat was surveyed on 13th May 2022 </span><span>(lat, lon = 50.259245, -3.771041).</span><br><span>•</span><span> </span><span>Site B: Scoble Point rocky shore</span><span>. The intertidal region that follows </span><span>the shoreline for approximately 250 m was surveyed on 16th May 2022, </span><span>Figure 3 (50.240164, -3.755421).</span></p>

Fig. 2 in Patterns of growth and natural mortality in Lysapsus bolivianus (Anura, Hylidae, Pseudae) in an environmental protection area in the estuary of the Amazon River

Fig. 2. Weight-length relationships in adult male and female Lysapsus bolivianus from the Rio Curiaú EPA on the estuary of the Amazon River, in northern Brazil.

Fig. 4 in Patterns of growth and natural mortality in Lysapsus bolivianus (Anura, Hylidae, Pseudae) in an environmental protection area in the estuary of the Amazon River

Fig. 4. Von Bertalanffy's growth curves for (A) male and (B) female Lysapsus bolivianus from the Rio Curiaú EPA in Amapá, Brazil.

Fig. 3 in Patterns of growth and natural mortality in Lysapsus bolivianus (Anura, Hylidae, Pseudae) in an environmental protection area in the estuary of the Amazon River

Fig. 3. Plot of the Ford-Walford estimates of growth parameters (SVL, k) of adult (A) male and (B) female Lysapsus bolivianus ∞ from the Rio Curiaú EPA in Amapá, Brazil. The values were estimated by the linear regressions between SVL and SVL+1 for each gender, as SVL ∞ = (a/1-b) and K = -loge b.

Fig. 1 in Patterns of growth and natural mortality in Lysapsus bolivianus (Anura, Hylidae, Pseudae) in an environmental protection area in the estuary of the Amazon River

Fig. 1. Relative frequency of the body size classes (SVL, snout–vent length; mm) recorded in the (A) adult males and females and (B) juveniles of the Lysapsus bolivianus population from the Rio Curiaú EPA on the estuary of the Amazon River, in northern Brazil.

opencc-by-4.0May 2024View details →

Dataset: Blue carbon dynamics across a salt marsh-seagrass ecotone in a cool-temperate South African estuary

<p>This is a dataset of organic carbon, nitrogen, and phosphorus content from the Olifants estuary. The study was designed to investigate drivers of variability at different spatial scales and across the salt marsh-seagrass ecotone. Samples were collected in March 2023 from three selected sites (upper, middle, and lower) in the estuary. Each site featured three transects, extending from the salt marsh vegetation of mixed species through the <em>Zostera capensis</em> seagrass meadows towards the water. Sediment cores were taken to a depth of 50 cm, but only the top 0-5 cm section was analyzed. Carbon and nitrogen content were measured using an Elementar Vario EL Cube Elemental CHNS Analyzer, while phosphorus was determined by ICP at Central Analytical Facilities  (Stellenbosch University).</p> <p> </p> <table> <tbody> <tr> <td> <p><strong>Sampling site</strong></p> </td> <td> <p><strong>GPS coordinates</strong></p> </td> </tr> <tr> <td> <p>Upper</p> </td> <td> <p>31°39'45.27"S, 18°11'42.40"E</p> </td> </tr> <tr> <td> <p>Middle</p> </td> <td> <p>31°40'56.46"S, 18°12'3.72"E</p> </td> </tr> <tr> <td> <p>Lower</p> </td> <td> <p>31°41'39.85"S, 18°11'15.95"E</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>File description</strong></p> <p><em>CHNS_Dataset_SM&INT.xlsx</em>: Data for intermediate sample measurements including percent organic carbon content and and percent nitrogen content for all sites</p> <p><em>ICP_Data_INT.xlsx</em>: Data for Phosphorus content and other related measurements for the upper site. </p>

opencc-by-4.0Jun 2024View details →

Dissolved nitric oxide concentrations and other parameters measured in the Lower Elbe Estuary and the Hamburg Port Area during the RV Ludwig Prandtl Cruise in July 2021

<p>The Elbe River's high nutrient loads and phytoplankton biomass contribute to the complex nutrient turnover processes in the Elbe Estuary, especially within the Port of Hamburg. This campaign aims to investigate the nitrogen turnover processes and nitrous oxide and nitric oxide production in the Elbe Estuary and the Port of Hamburg from 26 to 29 July 2021. Surface water samples were collected on board the RV <em>Ludwig Prandtl</em> using a FerryBox flow-through system. The system, which draws water from approximately 2 meters below the surface through a membrane pump, continuously measured in situ biogeochemical parameters, including dissolved oxygen, pH, salinity, and water temperature. Discrete water samples were collected every 20 minutes for nutrient analysis, chlorophyll a, and dissolved nitric oxide (NO) following established collection, preservation, and storage protocols (Schulz et al., 2022; Norbisrath et al., 2022). Furthermore, nitrous oxide (N2O) concentrations were measured continuously using laser-based off-axis integrated cavity output spectroscopy (OA_ICOS) coupled with a water/gas equilibrator. Additionally, wind speeds at a height of 10 meters were recorded using a MaxiMet GMX600 weather station. Triplicate NO samples were analyzed within 20 minutes of collection, adhering to the method outlined by Lutterbeck and Bange (2015).</p>

Fig. 4 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China

Fig. 4. Testudinella zhujiangensis sp. n., scanning electron microscope photograph of trophi. Detail of major teeth and proximal part of fulcrum, frontal view. Scale bar: 10 µm. ba: basal apophysis, fo:

Fig. 5 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China

Fig. 5. Testudinella obscura, scanning electron microscope photograph of trophi, frontal view. Scale bar: 10 µm. Origin: Mediterranean, Bay of Hyères, France

Fig. 3 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China

Fig. 3. Testudinella zhujiangensis sp. n., scanning electron microscope photographs of trophi. A. Frontal view. B. Caudal view. Scale bar: 10 µm. al: alula, as: arched scleropili, dc: dorsal chamber, f: fulcrum, m: manubrium, mc: median chamber, r: ramus, ra: ramus apophysis, rf: ramus fenestra, svc:

Fig. 1 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China

Fig. 1. Location of the sampling sites on Qi'ao Island of the Zhujiang/Pearl River estuary, Guangdong, China. Shadow area stands for mangrove forest; black circles represent the sampling locations

Fig. 2 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China

Fig. 2. Testudinella zhujiangensis sp. n.: A. Lorica, dorsal view. B–F. Lorica, ventral view. G. Lorica, cross-sectional view. H. Foot pseudosegments. Scale bars: A–G: 50 µm, H: 25 µm

opencc-by-4.0Jun 2024View details →

Research data related to the article "Impact of mineral reactions and surface complexation on the transport of dissolved species in a subterranean estuary: Application of a comprehensive reactive transport modeling approach"

<div><strong>Research Data related to the article "Impact of mineral reactions and surface complexation on the transport of dissolved species in a subterranean estuary: Application of a comprehensive reactive transport modeling approach" by Seibert et al. (2024) published in <em>Advances in Water Resources</em></strong></div> <div> </div> <div>Dear reader,</div> <div> </div> <div>reasearch data are provided for the research article "Impact of mineral reactions and surface complexation on the transport of dissolved species in a subterranean estuary: Application of a comprehensive reactive transport modeling approach" by Seibert et al. (2024) published in <em>Advances in Water Resources</em> (https://doi.org/10.1016/j.advwatres.2024.104763). The authors hope that the research data allows for a better understanding of the modeling workflow. The research data covers the following files:</div> <div> <ul> <li>Python scripts to create the models <ul> <li>Model scripts using FloPy (Bakker et al., 2016) are stored as .py files in './model_data/flopy_scripts/', named 'model_variant_vXYZ.py', where 'XYZ' is a wildcard for the model number. </li> <li>--> Note that model numbers correspond to the different model variants as referred to in the article, see overview below.</li> <li>The model scripts require postfix files, stored in './model_data/flopy_scripts/postfix/', a PHREEQC database file, stored in './model_data/flopy_scripts/template_database/', as well as spreadsheets that contain the initial concentrations as well as reaction rate parameters needed by PHT3D, stored as .xlsx files in './model_data/flopy_scripts/', to create the models.</li> <li>Note that the .xlsx files are used by PHT3D-FSP in the model scripts to generate relevant PHT3D input files (compare https://doi.org/10.5281/zenodo.7559750 for more details).</li> </ul> </li> <li>SEAWAT/PHT3D input files <ul> <li>Original SEAWAT and PHT3D input files, which were created with the corresponding model scripts previously (see step before).</li> <li>Input files are stored in './model_data/model_files/vXYZ/model_files/' for each model variant, where 'XYZ' is a wildcard for the model number.</li> <li>SEAWAT/PHT3D executables can directly run the model files files. Thus, the files don't need to be re-created via the previous step.</li> </ul> </li> <li>Model outputs <ul> <li>Model output data is stored as NumPy arrays in './model_data/model_files/vXYZ/npy_arrays/', where 'XYZ' is a wildcard for the model number.</li> <li>The script './model_data/flopy_scripts/template_output/pht3d_output_hpc_v006.py' was used to generate the output files.</li> <li>2-D species concentration arrays are stored in the subfolder './model_data/model_files/vXYZ/npy_arrays/species/', where 'XYZ' is a wildcard for the model number.</li> <li>Species min./max. concentration arrays are stored in the subfolder './model_data/model_files/vXYZ/npy_arrays/min_max/', where 'XYZ' is a wildcard for the model number.</li> <li>2-D water budget arrays (CH & WEL boundaries) are stored in the subfolder './model_data/model_files/vXYZ/npy_arrays/budgets/', where 'XYZ' is a wildcard for the model number.</li> <li>Model discretization information (ncol, nrow, nlay etc.) are stored in the subfolder './model_data/model_files/vXYZ/npy_arrays/discretization/', where 'XYZ' is a wildcard for the model number.</li> </ul> </li> <li>Figure files <ul> <li>Original figure files as well as the corresponding Python scripts to create the figures are stored in the subfolder'./figures'.</li> </ul> </li> </ul> <p>Numbering of the model variants is as follows:<br><br>v401 --> VAR-conservative<br>v402 --> VAR-OM<br>v403 --> VAR-C/I<br>v404 --> VAR-C/I/S<br>v405 --> VAR-C/I/P<br>v406 --> VAR-C/I/P/H<br>v407 --> VAR-C/I/P/V<br>v408 --> VAR-C/I/P-Co<br>v409 --> VAR-all<br>v410 --> VAR-all (no C)</p> </div> <div> </div> <div>Literature:</div> <div> </div> <div>Bakker, M., Post, V., Langevin, C.D., Hughes, J.D., White, J.T., Starn, J.J. and Fienen, M.N., 2016. Scripting MODFLOW model development using Python and FloPy. Groundwater, 54(5), pp.733-739. https://doi.org/10.1111/gwat.12413</div> <div> </div> <div>Seibert, S.L., Massmann, G., Meyer, R., Post, V.E.A., Greskowiak, J., 2024. Impact of mineral reactions and surface complexation on the transport of dissolved species in a subterranean estuary: Application of a comprehensive reactive transport modeling approach. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2024.104763</div> <div> </div> <div><strong>Contact one of the authors if you have further questions</strong>: Stephan L. Seibert (stephan.seibert@uol.de), Janek Greskowiak (janek.greskowiak@uol.de), Vincent E.A. Post (vincent@edinsi.nl), Rena Meyer (rena.meyer@uol.de) or Gudrun Massmann (gudrun.massmann@uol.de)</div>

opencc-by-4.0Mar 2011View details →

Fig. 3 in Total mercury in the fish Trichiurus lepturus from a tropical estuary in relation to length, weight, and season

Fig. 3. Correlations (n = 104). a. Log weight (g) in respect to total length (cm); b. Log (mgHg-T.kg-1 in the muscle) in relation to total length (cm); c. Log (mgHg-T.kg-1) in relation to log weight (g) of Trichiurus lepturus from the Goiana Estuary from November 2005 to January 2007. All plots show a 95% confidence interval.

opencc-by-4.0Mar 2011View details →

Fig. 2 in Total mercury in the fish Trichiurus lepturus from a tropical estuary in relation to length, weight, and season

Fig. 2. Rainfall in the study area from a historic (1961 to 1990) data set (solid line) and from 2005-2007 (bars). Source: http:// www.inmet.gov.br - meteorological station Recife-82.898).

opencc-by-4.0Mar 2011View details →

Fig. 5 in Total mercury in the fish Trichiurus lepturus from a tropical estuary in relation to length, weight, and season

Fig. 5. Correlation (n = 81) between rainfall (mm) and log (µgHg-T.kg-1 in the muscle) of Trichiurus lepturus from the Goiana Estuary (1 = dry season 1 - November and December 2005, January 2006; 2 = end of the rainy season - August to October 2006; 3 = dry season 2 - November and December 2006, January 2007).

opencc-by-4.0Dec 2021View details →

Figure 2. – A in First distributional record of the goby Mangarinus waterousi (Perciformes: Gobiidae) from Vellar estuary, southeast India

Figure 2. – A: Anaesthetized male of Mangarinus waterousi collected in the Vellar estuary (CASMBAURM/2312612); B: Head; C: Dorsal fins; D: Pectoral fin; E: Anal fin; F: Caudal fin; G: Preserved holotype specimen of M. waterousi collected from Philippines (CAS-SU 36817).

opencc-by-4.0Jun 2015View details →

Fig. 4 in Feeding ecology of immature Lithodoras dorsalis (Valenciennes, 1840) (Siluriformes: Doradidae) in a tidal environment, estuary of the rio Amazonas

Fig. 4. Trophic niche breadth recorded for Lithodoras dorsalis on the rio Amazonas mouth, Pará, Brazil, from July 2010 to June 2011. The solid line represents the niche breadth values and the dashed line indicates mean pluviosity registered for the studied region.