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1,133 results for “wetlands”
Fig. 2 in Distributions and phylogeographic data of rheophilic freshwater fishes provide evidences on the geographic extension of a central-brazilian amazonian palaeoplateau in the area of the present day Pantanal Wetland
Fig. 2. Distribution of sampled localities for Jupiaba acanthogaster in the upper rio Paraguay, rio Tapajós and rio Xingú basins. The drainages of the rio Tocantins, rio Araguaia and upper rio Paraná are also illustrated. Drainage boundaries delimited by a continuous black line.
Fig. 1 in Distributions and phylogeographic data of rheophilic freshwater fishes provide evidences on the geographic extension of a central-brazilian amazonian palaeoplateau in the area of the present day Pantanal Wetland
Fig. 1. Map of the upper rio Paraguay basin and adjoining areas showing the distribution of Leporinus octomatulatus, Jubiaba acanthogaster, Oligosarcus perdido, Moenkhausia cosmops, and Hypostomus cochliodon, exemplifying distributional pattern discussed in this paper.
Fig. 3 in Fish diet composition in permanent and semi-permanent pools in tropical wetlands of the Yucatan Peninsula
Fig. 3. Percentage composition of main items consumed by fish in Permanent (A) and Semi-permanent (B) pools in BPR during the dry (black bars) and rainy season (dash bars) of 2010. FR = fish remains, TI = terrestrial invertebrates, AI = aquatic insects, PR = plant remains, CR = crustaceans (mainly amphipods), AR = arachnid, AL = algae, GA = gastropod and DE = detritus.
Fig. 2 in Fish diet composition in permanent and semi-permanent pools in tropical wetlands of the Yucatan Peninsula
Fig. 2. Fish feeding spectrum of aquatic insects and terrestrial invertebrates (proportions of different orders in the diet of all stomachs analyzed) between Permanent (A) and Semi-permanent (B) pools in the PBR during 2010. Species codes: Aa = Astyanax aeneus, Cu = Cichlasoma urophthalmus, Tm = Thorichthys meeki, Gy = Gambusia yucatana, Pv = Poecilia velifera, Pm = P. mexicana, Bb = Belonesox belizanus, Ro = Rocio octofasciata, Cs = Cichlasoma urophthalmus, Ps = Petenia splendida, On = Oreochromis niloticus, Pm = Paraneetroplus melanurus, Gp = Garmanella pulchra.
Fig. 1 in Fish diet composition in permanent and semi-permanent pools in tropical wetlands of the Yucatan Peninsula
Fig. 1. Geographic location of studied pools, permanent and semi-permanent in PBR, Campeche, Mexico during 2010.
Fig 5 in Species Diversity Of Wetland Birds, Depending On Area, Overgrowth Of Water Bodies On The Example Of Sovskie Ponds (Ukraine)
Fig 5. Percentage of species under conditions of overgrowth of a reservoir with macrophytes, a - 5% overgrowth, b - 90% overgrowth, c - 45% overgrowth, d - 55% overgrowth, e - 65% overgrowth.
Dataset for "Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions"
<p>This dataset is a part of the paper "Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions", accepted for publication in the Journal of Advances in Modeling Earth Systems (JAMES).</p> <h2>Contents</h2> <p>This dataset includes:</p> <ul> <li><strong>lhs-gen-190.csv</strong>: Training input LHS samples generated by <code>lhsgen.py</code>.</li> <li><strong>lhs-gen-50-test.csv</strong>: Test input LHS samples generated by <code>lhsgen.py</code>.</li> <li><strong>190-elm-samples.csv</strong>: Training input perturbed parameter samples for performing ELM simulations.</li> <li><strong>50-elm-test-samples.csv</strong>: Test input perturbed parameter samples for performing ELM simulations.</li> <li><strong>train_CH-CHA.csv</strong>: Contains the five ELM simulation output flux values for 240 samples (190 train + 50 test).</li> <li><strong>lhsgen.py</strong>: Script for generating Latin Hypercube Samples.</li> <li><strong>gpr-fit-new.py</strong>: Script for fitting Gaussian Process Regression (GPR) models.</li> <li><strong>sobol-new.py</strong>: Script for performing Sobol sensitivity analysis.</li> </ul> <h2>Usage</h2> <ol> <li><strong>lhsgen.py</strong>: <ul> <li>Use this script to generate the Latin Hypercube Samples for parameter sampling.</li> </ul> </li> <li><strong>gpr-fit-new.py</strong>: <ul> <li>This script fits GPR models using the training samples provided in <code>lhs-gen-190.csv</code>.</li> <li>It tests the models using the input testing samples in <code>lhs-gen-50-test.csv</code>.</li> <li>The fitted GPR models are stored as <code>.joblib</code> files in the <code>gpr_models</code> directory.</li> <li>Corresponding cross-validation and R-squared values are stored in <code>.xlsx</code> files.</li> </ul> </li> <li><strong>sobol-new.py</strong>: <ul> <li>This script performs Sobol sensitivity analysis using the fitted GPR models by reading the .joblib files.</li> <li>The Sobol indices are written to <code>.xlsx</code> files in the <code>results</code> directory.</li> </ul> </li> </ol>
Fig. 4 in Molecular identification of a new myxozoan, Myxobolus dermiscalis n. sp. (Myxosporea) infecting scales of Labeo rohita Hamilton in Harike Wetland, Punjab (India)
Fig. 4. Neighbour-Joining analysis of small subunit ribosomal DNA sequence of M. dermiscalis n.sp.in relation to 23 other sequenced members of the genus.
Fig. 1 in Molecular identification of a new myxozoan, Myxobolus dermiscalis n. sp. (Myxosporea) infecting scales of Labeo rohita Hamilton in Harike Wetland, Punjab (India)
Fig. 1. Agarose gel (1.8%) showing amplified 18S rDNA gene of M. dermiscalis n. sp. infecting scales of Labeo rohita. Lane 1: 1kb DNA Ladder Lane 2, 3: M. dermiscalis n. sp. (1597bp)
Fig. 3 in Molecular identification of a new myxozoan, Myxobolus dermiscalis n. sp. (Myxosporea) infecting scales of Labeo rohita Hamilton in Harike Wetland, Punjab (India)
Fig. 3. Photomicrographs of myxospores of M. dermiscalis n. sp. a) fresh under phase contrast microscope b) stained with Ziehl‾Neelson c) Line drawing d) stained with Ironhaematoxylin Scale bar = 10 Mm.
Fig. 5 in Molecular identification of a new myxozoan, Myxobolus dermiscalis n. sp. (Myxosporea) infecting scales of Labeo rohita Hamilton in Harike Wetland, Punjab (India)
Fig. 5. Estimates of evolutionary divergence between the sequences of M. dermiscalis and other Myxosporea available in GenBank.
Fig. 2 in Molecular identification of a new myxozoan, Myxobolus dermiscalis n. sp. (Myxosporea) infecting scales of Labeo rohita Hamilton in Harike Wetland, Punjab (India)
Fig. 2. Infected scales of L. rohita showing creamish white pseudocysts of M. dermiscalis n. sp scale bar = 1 cm.
Figs. 5-8 in Silica-scaled chrysophytes from Mt. Sinbul wetland in South Korea
Figs. 5-8. Silica-scaled chrysophytes from Mt. Sinbul wetland. 5-7. Mallomonas leboimei, 5. Whole cell of Mallomonas leboimei, 6. Showing the scales with very small or large dome, 7. Bristles, 8. M. metvienkoae. Scale bars = 5 (5 μm), 6-8 (1 μm).
Figs. 16-20 in Silica-scaled chrysophytes from Mt. Sinbul wetland in South Korea
Figs. 16-20. Mallomonas dimorphus sp. nov., 16. Apical scales with short papilla (arrow head) and longitudinal rib (arrow), 17. Body scales showing flat dome marked with irregularly ribs such as labyrinth, perforated base plate and small papillae (arrow) on the anterior submarginal rib, 18. Body scales showing hooded V-shaped rib, large meshes or pores and strutted posterior flange, 19, 20. Showing the small scales (arrows) with circular ribs and short, smooth needle like bristles. Scale bars = 1 μm.
Building Public Confidence in Constructed Wetlands for Wastewater Treatment and Reuse: Survey Data and Focus Group Transcripts
<p>Constructed wetlands have been proposed as a cost-effective wastewater treatment, storage, and reuse solution for communities that are considering alternative water supply options to meet essential demands. In 2016, we began exploring the idea of wastewater reuse and the construction of an experimental wetland in Sewanee, located in the southern U.S. state of Tennessee. As a major barrier to water reuse is often public resistance, we conducted a survey and focus groups to determine strategies to develop and initiate a community engagement campaign, aiming to empower residents to form reasoned opinions about local water supply options.</p> <p>This data set includes the survey that was distributed to Sewanee community members between November 2015 and February 2016, as well as protocols for three focus groups that were conducted with K12 teachers and community leaders on February 11 and 12, 2016. The survey results are summarized in a Microsoft Excel file. The three focus groups were transcribed, these transcripts are included here as PDF documents.</p>
Mindmap of Camargue wetlands
<p>Mindmap of the Camargue linking ecosystem services and monitoring needs for each habitat type.</p>
Fig. 8 in On a new species of the genus Cyprinotus (Crustacea, Ostracoda) from a temporary wetland in New Caledonia (Pacific Ocean), with a reappraisal of the genus
Fig. 8. Other species of Cyprinotus s. str. (redrawn from various sources, mostly the original descriptions, not to scale). A. Cyprinotus cingalensis Brady, 1886, RVi. B. C. edwardi McKenzie, 1978, RVi. C. C. indica Battish, 1981, CpLL. D. C. dahli Sars, 1896, CpLL. E. C. kimberleyensis McKenzie, 1966, RVi. F. C. scholiosus (Sohn & Morris, 1963), RVi. G. C. uenoi Brehm, 1936, LVi. H. C. uenoi Brehm, 1936, RVi. Arrows indicate anterior side.
Fig. 7 in On a new species of the genus Cyprinotus (Crustacea, Ostracoda) from a temporary wetland in New Caledonia (Pacific Ocean), with a reappraisal of the genus
Fig. 7. Cyprinotus drubea sp. nov., ♀♀ A-1 juveniles. A. LVi (INV.156002/OC.3402). B. RVi (RBINS- INV.156002/OC.3402. C. CpRL (MNHN-UI-2019-781). D. CpLL (MNHN-UI-2019-779). E. CpD (MNHN-UI-2019-780). F. RVi, detail of anterior part (RBINS-INV.156002/OC.3402). G. CpRL, detail anterior (MNHN-UI-2019-781). H. LVi, detail of posterior part (RBINS-INV.156002/OC.3402). I. LVi, detail of anterior part (RBINS-INV.156002/OC.3402). Arrows indicate anterior side. Scale bars: A–E = 500 µm, F = 400 µm, G–I= 100 µm.
Fig. 6 in On a new species of the genus Cyprinotus (Crustacea, Ostracoda) from a temporary wetland in New Caledonia (Pacific Ocean), with a reappraisal of the genus
Fig. 6. Cyprinotus drubea sp. nov., ♀♀. A. T1 (MNHN-IU-2019-2542). B. T2 (MNHN-IU-2019-2541). C. T3 (MNHN-IU-2019-2541). D. Detail of apical pincer of T3 (MNHN-IU-2019-2541). E. CR (MNHN-IU-2019-2542). F. Attachment of CR (MNHN-IU-2019-2542). G. Rake-like organ (MNHN- IU-2019-2542). Scale bar: A = 111 µm; B = 93 µm; C = 106 µm; D = 42 µm; E–F = 127 µm; G = 104 µm.
Fig. 5 in On a new species of the genus Cyprinotus (Crustacea, Ostracoda) from a temporary wetland in New Caledonia (Pacific Ocean), with a reappraisal of the genus
Fig. 5. Cyprinotus drubea sp. nov., ♀♀. A. Md-palp (MNHN-IU-2019-2541). B. Md-coxa (MNHN- IU-2019-2541). C. Palp and endites of Mx1 (chaetotaxy of endites not complete) (MNHN-IU-2019-2541). D. Vibratory plate of Mx1 (MNHN-IU-2019-2542). Scale bar: A = 101 µm; B, D = 139 µm; C = 84 µm.
ScienceDex guides
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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.