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zenodo40/100

Baliles Center (Hull Springs) Restored Wetland Data from 2021-12-04 to 2022-02-05

<p>General Metadata for Hull Springs Restored Wetland Sampling Station</p> <p>Files</p> <p>Specific metadata for each deployment and sensor can be found as text files with the file format of:</p> <pre><code>HS_wetland_DO_YYYY-MM-DD_metadata.txt HS_wetland_Depth_YYYY-MM-DD_metadata.txt HS_wetland_CT_YYYY-MM-DD_metadata.txt</code></pre> <p>Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. Details on how the data were cleaned and variables created can be found at in the cleaning scripts on Gitlab <a href="https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts">https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts</a>.</p> <p>File Created</p> <ul> <li>2021-06-16 by KF</li> </ul> <p>File Modified</p> <ul> <li>2021-07-22 by KF - added general metadata for the pressure transducer and the CT sensor.</li> <li>2021-11-10 by KF - updated to include the depth calculations from the water level logger.</li> </ul> <p>Description</p> <p>These data are from the sampling station in the restored wetland at the Baliles Center for Environmetal Education at Hull Springs. The sensors are in the NE corner of the shallow pond portion of the restored wetland (38.119289, -76.667252).</p> <p>All data are CC-BY and should be cited using the DOI available at <a href="https://zenodo.org/communities/leo/">https://zenodo.org/communities/leo/</a></p> <p>Station Specifics</p> <p>The specific at each site are:</p> <pre><code>* Water Temperature (dC) and Dissolved Oxygen (mg/l) are collected with a Onset HOBO U26-001 Dissolved Oxygen Logger * Water Temperature (dC) and Water Pressure (mmHg) are collected with an Onset HOBO U20-001-01 Water Level Logger * Water Temperature (dC) and Conductivity are collected with an Onset HOBO U24-001 Conductivity Logger * Air Temperature (dC) and Barometric Pressure (mmHg) are collected with an Onset HOBO U20-001-01 Water Level Logger mounted in the air next to the wetland.</code></pre> <p>The sensors are sampled every 15 minutes</p> <p>Measurement Parameters, units, and Variable Names</p> <pre><code>* date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * observation.DO, .CT, .press, or .BP - the incremental number of each observation from the DO, conductivity, water pressure, or barometric pressure sensor. * timestamp.DO, .CT, .press, or .BP - the data and time that the record was collected, as reported by the data logger (MM/DD/YY HH:MM:SS A/PM) from the DO, conductivity, water pressure, or barometric pressure sensor. * DO - the concentration of dissolved oxygen in the water (mg/L) * Temp.DO, .CT, .press, or .BP - the temperature (dC) from the DO, conductivity, water pressure, or barometric pressure sensor. * Pressure.press or .BP - the pressure recorded by the pressure transducer (kPa) on the water pressure or barometric pressure sensor. * Z - the depth of the water (cm). * Low_Range_CT - the conductivity read from 0 - 2500 uS/cm (uS/cm) * Full_Range_CT - the conductivity read from 0 - 15000 uS/cm (mmHg) * press.g.cm2 - the pressure from the water pressure sensor (g/cm^2) * BP.g.cm2 - the barometric pressure from the barometric pressure sensor (g/cm^2)</code></pre>

opencc-by-4.0May 2022View details →
dryad40/100

Data from: Looking for compensation at multiple scales in a wetland bird community

<p>Compensatory dynamics, during which community composition shifts despite a near-constant total community size, are usually rare: synchronous dynamics prevail in natural communities. This is a puzzle for ecologists, because of the key role of compensation in explaining the relation between biodiversity and ecosystem functioning. However, most studies so far have considered compensation in either plants or planktonic organisms, so that evidence for the generality of such synchrony is limited. Here, we extend analyses of community-level synchrony to wetland birds. We analyse a 35-year monthly survey of a community where we suspected that compensation might occur due to potential competition and changes in water levels, favouring birds with different habitat preferences. We perform both year-to-year analyses by season, using a compensation/synchrony index, as well as multiscale analyses using a wavelet-based measure, which allows for both scale- and time-dependence. We analyse synchrony both within and between guilds, with guilds defined either as tightknit phylogenetic groups or larger functional groups. We find that abundance and biomass compensation are rare, likely due to the synchronizing influence of climate (and other drivers) on birds, even after considering several temporal scales of covariation (during either cold or warm seasons, above or below the annual scale). Negative covariation in abundance at the guild or community level did only appear at the scale of a few months or several years. We also found that synchrony varies with taxonomic and functional scale: the rare cases where compensation appeared consistently in year-to-year analyses were between rather than within functional groups. Our results suggest that abundance compensation may have more potential to emerge between broad functional groups rather than between species, as well as at relatively long temporal scales (multiple years for vertebrates), above that of the dominant synchronizing driver.</p>

opencc-zeroMay 2022View details →
zenodo40/100

Stable Isotope Mixing Models Demonstrate the Role of an Invasive Plant in Wetland Songbirds Food Webs

<p>We used analysis of natural abundance stable isotopes of <sup>13</sup>C and <sup>15</sup>N in song sparrow blood, invertebrate food sources, <em>L. latifolium </em>seeds,<em> </em>and other marsh<em> </em>plant seeds to inform Bayesian, concentration-dependent mixing models that predicted average song sparrow diets. Data presented are the csv files and R markdown code for the isotope analysis.</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Peatland maps and wetland GHG emission factors

<p>The data set includes maps of degraded (~46 Mha globally) and intact peatland (~375 Mha globally) for the year 2015. The spatial resolution is 0.5 degree. The data set also includes IPCC wetland GHG emission factors for degraded and rewetted peatlands.</p> <p>This dataset has been published&nbsp;originally&nbsp;as supplementary data set in&nbsp;</p> <p>Humpen&ouml;der, F., Karstens, K., Lotze-Campen, H., Leifeld, J., Menichetti, L., Barthelmes, A., and Popp, A. (2020). Peatland protection and restoration are key for climate change mitigation. Environ. Res. Lett.&nbsp;<em>15</em>, 104093. DOI&nbsp;<a href="https://10.1088/1748-9326/abae2a">10.1088/1748-9326/abae2a</a>.</p> <p>&nbsp;</p>

opencc-by-4.0May 2022View details →
dryad40/100

Functional diversity of macroinvertebrates as a tool to evaluate wetland restoration

<p><span><span><span>Ecological restoration of aquatic ecosystems has become widespread in recent decades. Whereas the recovery of biodiversity in restored wetlands has been studied from a taxonomic perspective, our knowledge of how functional biodiversity recovers remains poorly understood. </span></span></span></p> <p><span><span>We studied the functional diversity of macroinvertebrate communities in 32 Mediterranean temporary ponds six to seven years after their creation during a restoration in South-West Spain, and compared them with 10 natural reference sites during two consecutive hydroperiods. We compared alpha functional diversity indices, and the individual contributions of new ponds and reference sites to the regional functional beta diversity, as well as to its turnover and nestedness components. We also investigated the influence of environmental and spatial variables on the dissimilarities of functional beta diversity and its components between new ponds and reference sites. </span></span></p> <p><span><span>Alpha functional diversity in new ponds was lower than in reference sites. Although the contribution of new ponds to the regional functional beta diversity was similar to that of reference sites, the latter contributed more to functional turnover, while new ponds contributed more to functional nestedness. </span></span></p> <p><span><span>Dispersal limitation coupled with environmental filtering structured the functional variation in communities between new ponds and reference sites, but their relative importance differed between beta components. New ponds can hold species with unique functional compositions, but their contribution to the regional functional beta diversity was mostly due to trait losses with respect to reference sites. </span></span></p> <p><span><span><b><i>Synthesis and applications</i></b>. Considering different aspects of functional diversity of invertebrate communities can help elucidate the processes and mechanisms through which ecosystems recover following restoration. We encourage the use of trait-based approaches to identify trends in processes and patterns that can guide future wetland restoration projects.</span></span></p>

opencc-zeroJun 2022View details →
dryad40/100

Impact of human disturbance on the abundance of non-breeding shorebirds in a subtropical wetland

<p><span>Shorebird populations have declined due to several threats throughout their annual cycle. Anthropogenic disturbance is one of the most ubiquitous threats to shorebird conservation in North America. Here, we studied the influence of human disturbance on shorebird community dynamics during migration and winter in Ensenada de La Paz, a subtropical coastal wetland in Mexico. We used negative binomial generalized linear mixed models to investigate the associations between spatial, biological, and anthropogenic variation and local shorebird abundance that accounted for shorebird body size (small, medium, and large) and foraging strategy (visual and tactile) of 21 shorebird species. After controlling for these different correlates of abundance, human disturbance (people, vehicles, and dogs) was negatively associated with shorebird abundance. During winter, all shorebird species were negatively related to human disturbance but positively associated with presence of raptors. However, small, tactile foraging birds exhibited a proportionally larger negative response to human disturbance than other shorebird types, indicative of guild-level sensitivities to human disturbance regimes. The positive association between shorebird abundance and disturbance from predators was unexpected. Shorebirds likely concentrate in large groups to reduce predation risk, resulting in higher densities of shorebirds occurring in areas with high predation risk. Understanding factors influencing the abundance and habitat use of shorebirds on their non-breeding grounds is paramount to support management and conservation policies for shorebirds and their habitats.</span></p>

opencc-zeroJun 2022View details →
dryad40/100

Diet composition based on stable isotopic analysis of fecal samples revealed the preference of Black-faced Spoonbill (Platalea minor) for natural wetlands and fishponds

<p><span>Background:</span><span> Black-faced spoonbill (BFS) is a global endangered species, distributed only in the coastal zones of East Asia. Xinghua Bay is one of the main wintering sites and migration stopovers of BFS in mainland China. However, </span><span>with the </span><span>reduction and degradation of natural wetlands, it is uncertain whether the constructed wetland can provide habitat for the endangered BFS. Research on diet of BFS will help to understand their preference between natural and artificial wetlands, and also provide reference for their conservation and habitat restoration. </span></p> <p><span>Results:</span><span> In the early winter, the proportion of Palaemonidae in BFS's food was as high as 74.4%, while that of other food was only 3.0% to 6.0%. In the late winter, the food contribution of BFS was as follow: Portunidae </span><span>39.3% </span><span>&gt; Palaemonidae </span><span>26.1% </span><span>&gt; Cyprinidae </span><span>8.8% </span><span>&gt;</span> <span>Mugilidae </span><span>8.5% </span><span>&gt; Gobiidae </span><span>7.3% </span><span>&gt;</span> <span>Crucian </span><span>5.1% </span><span>&gt; Whiteshrimp </span><span>4.8%</span><span>. The proportion of Portunidae exceeded that of Palaemonidae, and together with Palaemonidae, it has become the main food of BFS in late winter. </span></p> <p><span>Conclusion: </span><span>The diet composition of BFS between the early and late winter was significantly different, which may be due to seasonal changes in food resources. Natural wetlands are the main feeding grounds of BFS, but artificial wetlands also provide them with supplementary feeding grounds and resting places. Aquaculture ponds play an important ecological function in maintaining the overwintering population of BFS in Xinghua Bay.</span></p>

opencc-zeroSep 2022View details →
zenodo40/100

Data from: Sedimentary organic carbon and nitrogen sequestration across a vertical gradient on a temperate wetland seascape including salt marshes, seagrass meadows and rhizophytic macroalgae beds

<p>Dataset&nbsp;</p> <p>&nbsp;</p> <p>Coastal wetlands are key in regulating coastal carbon and nitrogen dynamics and contribute significantly to climate change mitigation and anthropogenic nutrient reduction. We investigated organic carbon (OC) and total nitrogen (TN) stocks and burial rates at four adjacent vegetated coastal habitats across the seascape elevation gradient of C&aacute;diz Bay (South Spain), including one species of salt marsh, two of seagrasses, and a macroalgae. OC and TN stocks in the upper 1 m sediment layer were higher at the subtidal seagrass&nbsp;<em>Cymodocea nodosa</em>&nbsp;(72.3 Mg OC ha<sup>-1</sup>, 8.6 Mg TN ha<sup>-1</sup>) followed by the upper intertidal salt marsh&nbsp;<em>Sporobolus maritimus</em>&nbsp;(66.5 Mg OC ha<sup>-1</sup>, 5.9 Mg TN ha<sup>-1</sup>), the subtidal rhizophytic macroalgae&nbsp;<em>Caulerpa prolifera</em>&nbsp;(62.2 Mg OC ha<sup>-1</sup>, 7.2 Mg TN ha<sup>-1</sup>), and the lower intertidal seagrass&nbsp;<em>Zostera noltei</em>&nbsp;(52.8 Mg OC ha<sup>-1</sup>, 5.2 Mg TN ha<sup>-1</sup>). The sedimentation rates increased from lower to higher elevation, from the intertidal salt marsh (0.24 g cm<sup>-2</sup>&nbsp;yr<sup>-1</sup>) to the subtidal macroalgae (0.12 g cm<sup>-2</sup>&nbsp;yr<sup>-1</sup>). The organic carbon burial rate was highest at the intertidal salt marsh<em>&nbsp;</em>(91 &plusmn; 31 g OC m<sup>-2</sup>&nbsp;yr<sup>-1</sup>), followed by the intertidal seagrass, (44&nbsp;&plusmn;&nbsp;15 g OC m<sup>-2</sup>&nbsp;yr<sup>-1</sup>), the subtidal seagrass (39&nbsp;&plusmn;&nbsp;6 g OC m<sup>-2</sup>&nbsp;yr<sup>-1</sup>), and the subtidal macroalgae (28&nbsp;&plusmn;&nbsp;4 g OC m<sup>-2</sup>&nbsp;yr<sup>-1</sup>). Total nitrogen burial rates were similar among the three lower vegetation types, ranging from 5&nbsp;&plusmn; 2&nbsp;to 3&nbsp;&plusmn; 1&nbsp;g TN m<sup>-2</sup>&nbsp;yr<sup>-1</sup>, and peaked at&nbsp;<em>S. maritimus&nbsp;</em>salt marsh with 7&nbsp;&plusmn;&nbsp;1 g TN m<sup>-2</sup>&nbsp;yr<sup>-1</sup>. The contribution of allochthonous sources to the sedimentary organic matter also decreased with elevation, from 72% in&nbsp;<em>C. prolifera</em>&nbsp;to 33% at&nbsp;<em>S. maritimus</em>. Our results highlight the need of using habitat-specific OC and TN stocks and burial rates to improve our ability to predict OC and TN sequestration capacity of vegetated coastal habitats at the seascape level. We also demonstrated that the stocks and burial rates in&nbsp;<em>C. prolifera&nbsp;</em>habitats were within the range of well-accepted blue carbon ecosystems such as seagrass meadows and salt marshes.</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Ecosystem engineers spill-over of biodiversity: beavers affect breeding bird assemblage on wetland, but also on adjacent terrestrial habitats

<p>Abundance of breeding bird species recorded on Eurasian beaver and reference sites in Poland (central Europe).</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Rinker's Treatment Wetland Water Quality monitoring data (2017 - 2019), South Daytona, Florida

<p><span>Water quality was monitored at a constructed treatment wetland in South Daytona, Florida through </span>a<span> </span><span>two-year</span><span> </span><span>project</span><span> </span><span>(Oct</span><span> </span><span>2017-</span><span> </span>Sept<span> </span><span>2019). </span></p> <p><strong><span>The 2017-2018 INDIAN<span> </span><span>RIVER</span><span> </span><span>LAGOON</span><span> </span><span>NATIONAL</span><span> </span><span>ESTUARY</span><span> </span><span>PROGRAM funded Project</span></span></strong></p> <p><strong><span>Submitted to the IRL Council</span></strong></p> <p><strong><span>Oct 8<sup>th</sup>, 2018</span></strong></p> <p><span>&nbsp;</span></p> <p><strong><span>Project<span> </span>Title</span></strong><span>: <span><span>&nbsp;</span></span>Reed<span> </span><span>Canal</span> <span><span>&nbsp;</span></span>Basin <span><span>&nbsp;</span></span>Stormwater <span><span>&nbsp;</span></span>Improvement <span><span>&nbsp;</span></span>through <span><span>&nbsp;</span></span>Treatment <span><span>&nbsp;</span></span>Wetland</span><span> </span><span>Construction<span> </span>in<span> </span>South<span> </span>Daytona,<span> </span>FL</span></p> <p><strong><span>Project<span> </span>Applicant:<span> </span></span></strong><span>Bethune-Cookman</span><span> </span><span>University</span><span> </span><span>(B-CU)</span></p> <p>&nbsp;</p> <p><strong><span>Amount</span></strong><strong><span> </span></strong><strong><span>of</span></strong><strong><span> <span>Request</span></span></strong><span>:</span><span> </span><span>$181,148</span></p> <h3><span>Other</span><span> </span><span>Funding</span> <span>Sources</span><span> </span><span>and</span> <span>Amount</span><span> </span><span>of</span> <span>Total</span><span> </span><span>Match</span><span>:</span><span> </span><span>$183,095</span></h3> <p><span><span>B-C</span></span>U <span><span>&nbsp;</span></span><span>($74,631);</span> <span><span>&nbsp;</span></span><span>EPA</span> <span><span>&nbsp;</span></span><span>319</span> <span><span>&nbsp;</span></span><span>($11,250);</span> <span><span>&nbsp;</span></span><span>Local</span> <span><span>&nbsp;</span></span><span>wetland/tree/shoreline</span> <span><span>&nbsp;</span></span><span>restoration</span> <span><span>&nbsp;</span></span><span>funds</span> <span><span>&nbsp;</span></span><span>(pending</span></p> <p><span>$60,000); AE-Group ($5,000); </span><span>Volunteers</span><span> </span><span>($2,214);</span><span> </span><span>Project </span>H2O<span> </span><span>Academy</span><span> </span><span>and</span><span> </span><span>partners</span><span> </span><span>($30,000)</span></p> <p><span>The project goals were </span><span>to</span><span> </span><span>design,</span><span> </span><span>construct,</span><span> </span><span>and</span><span> </span><span>assess</span><span> </span>a<span> </span><span>treatment</span><span> </span><span>wetland,</span><span> </span><span>retrofit</span><span> </span><span>Rinker&rsquo;s</span><span> </span><span>pond</span><span> </span><span>within<span> </span><span>the</span><span> </span><span>city</span></span><span>-owned</span> <span>plat, monitor water quality,</span><span>&nbsp;and</span><span> </span><span>conduct plant</span><span> </span><span>surveys</span><span> </span><span>to</span> test<span> the</span> <span>effectiveness</span><span> </span><span>of </span><span>treatment wetlands</span><span> </span>in<span> stormwater</span> <span>management </span><span>and</span><span> habMayitat quality improvement.</span><span> </span><span>This</span><span> </span><span>project</span><span> </span><span>will</span><span> </span><span>engage</span><span> </span><span>the</span><span> </span><span>residents</span><span> </span><span>into</span><span> </span><span>public</span><span> </span><span>education</span><span> </span><span>programs</span><span> </span>in<span> </span><span>order</span><span> </span><span>to</span><span> </span><span>help</span><span> </span><span>them</span><span> </span><span>enhance</span><span> </span><span>their</span><span> </span><span>awareness</span><span> </span><span>of</span> <span>issues</span><span> </span>of <span>and</span><span> solutions</span><span> </span><span>to</span> <span>stormwater</span><span> </span><span>associated</span> <span>problems.</span></p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Рис. 4. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста на воΑно-боΛотных угоΑьях оз. БоΛонь в 2018 г. Fig. 4. Distribution of nests of the Oriental White Stork in the wetlands of Lake Bolon in 2018 in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region

Рис. 4. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста на воΑно-боΛотных угоΑьях оз. БоΛонь в 2018 г. Fig. 4. Distribution of nests of the Oriental White Stork in the wetlands of Lake Bolon in 2018

opencc-by-4.0Feb 2021View details →
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Рис. 3. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста на воΑно-боΛотных угоΑьях оз. БоΛонь по материаΛам авиаучетов: 1999 г. — треугоΛьник (по: Δарман, АнΑронов, Хигучи и Αр. 2000); 2004 г. — звезΑочка; 2005 г. — кружок Fig. 3. Distribution of nests of the Oriental White Stork in the wetlands of Lake Bolon based on aerial surveys: 1999 — triangle (based on: Darman et al. 2000a); 2004 — asterisk; 2005 — circle in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region

Рис. 3. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста на воΑно-боΛотных угоΑьях оз. БоΛонь по материаΛам авиаучетов: 1999 г. — треугоΛьник (по: Δарман, АнΑронов, Хигучи и Αр. 2000); 2004 г. — звезΑочка; 2005 г. — кружок Fig. 3. Distribution of nests of the Oriental White Stork in the wetlands of Lake Bolon based on aerial surveys: 1999 — triangle (based on: Darman et al. 2000a); 2004 — asterisk; 2005 — circle

opencc-by-4.0Feb 2021View details →
zenodo40/100

The Provincelands of Cape Cod National Seashore, Barnstable County, Massachusetts, USA. The reddish vegetation in the center of the photo is a cranberry (Vaccinium macrocarpon) bog, a wetland used for breeding by the Fowler's toad. The surrounding landscape is ideal for the Fowler's toad and supports one of the largest populations of this species in the United States. The landscape contains a patchwork of sand, pitch pine (Pinus rigida), scrub oak (Quercus ilicifolia), and dune grass (Ammophila breviligulata). Photo by Rebecca Flaherty. in Fowler's Toad (Anaxyrus fowleri) occupancy in the southern mid-Atlantic, USA

The Provincelands of Cape Cod National Seashore, Barnstable County, Massachusetts, USA. The reddish vegetation in the center of the photo is a cranberry (Vaccinium macrocarpon) bog, a wetland used for breeding by the Fowler's toad. The surrounding landscape is ideal for the Fowler's toad and supports one of the largest populations of this species in the United States. The landscape contains a patchwork of sand, pitch pine (Pinus rigida), scrub oak (Quercus ilicifolia), and dune grass (Ammophila breviligulata). Photo by Rebecca Flaherty.

opencc-by-4.0May 2015View details →
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Fig. 4 in Henneguya (Cnidaria: Myxosporea: Myxobolidae) infections of cultured barramundi, Lates calcarifer (Perciformes: Latidae) in an estuarine wetlands system of Malaysia: description of Henneguya setiuensis n. sp., Henneguya voronini n. sp. and Henneguya calcarifer n. sp.

Fig. 4 Histological sections of gill filaments from Lates calcarifer infected by plasmodia of H. setiuensis n. sp. and H. voronini n. sp. (a) Plasmodia of H. setiuensis n. sp. (arrows) producing compression and damage to the lamellae (*). (b) Development of plasmodia of H. voronini n. sp. (arrows) in the sub-epithelial layer at the base of the filament. Note that the plasmodia also impinge into the gill arch (g)

opencc-by-4.0Nov 2019View details →
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Fig. 5 in Henneguya (Cnidaria: Myxosporea: Myxobolidae) infections of cultured barramundi, Lates calcarifer (Perciformes: Latidae) in an estuarine wetlands system of Malaysia: description of Henneguya setiuensis n. sp., Henneguya voronini n. sp. and Henneguya calcarifer n. sp.

Fig. 5 Phylogenetic tree generated by maximum likelihood analysis of 18S ribosomal DNA sequences of Henneguya species from perciform hosts and other closely related myxosporean species identified by BLAST; GenBank accession numbers shown after the species name, including the three novel data in bold (H. setiuensis n. sp., H. voronini n. sp. and H. calcarifer n. sp.). Numbers at nodes indicate the bootstrap confidence values (ML). Taxonomic orders of the fish hosts are shown at right: Char Characiformes, Sil Siluriformes, Esoc Esociformes, Mug Mugiliformes, Gob Gobiiformes, Per Perciformes and Acti Actinospores. Chloromyxum cyprini was used as an outgroup

opencc-by-4.0Nov 2019View details →
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Fig. 2 Henneguya voronini n in Henneguya (Cnidaria: Myxosporea: Myxobolidae) infections of cultured barramundi, Lates calcarifer (Perciformes: Latidae) in an estuarine wetlands system of Malaysia: description of Henneguya setiuensis n. sp., Henneguya voronini n. sp. and Henneguya calcarifer n. sp.

Fig. 2 Henneguya voronini n. sp. (a–b) Line drawings of mature myxospores in frontal view showing polar capsules with coiled polar tubules. (c) Fresh, unstained myxospores in frontal view showing the two pyriform polar capsules. (d) Scanning electron microscope image of the spores showing simple, smooth valve cell surfaces, each contiguous with a caudal process; features typical of the genus

opencc-by-4.0Nov 2019View details →
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Fig. 1 Henneguya setiuensis n in Henneguya (Cnidaria: Myxosporea: Myxobolidae) infections of cultured barramundi, Lates calcarifer (Perciformes: Latidae) in an estuarine wetlands system of Malaysia: description of Henneguya setiuensis n. sp., Henneguya voronini n. sp. and Henneguya calcarifer n. sp.

Fig. 1 Henneguya setiuensis n. sp. (a–b) Line drawings of mature myxospores in frontal view showing polar capsules with coiled polar tubules. (c) Fresh, unstained myxospores in frontal (arrow) and sutural (*) views, with divergent caudal appendages

opencc-by-4.0Nov 2019View details →
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Fig. 1 in Early-Spring Floods Decrease The Survival Of Hibernating Larvae Of A Wetland-Inhabiting Population Of Neptis Rivularis (Lepidoptera: Nymphalidae)

Fig. 1. Map of the central part of Třeboň Basin (along Lužnice river) with colonies of Neptis rivularis () and records of stray adults of the butterfly (), as encountered during 1996 season. The gray

opencc-by-4.0Dec 2002View details →
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Fig. 4 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. 4. Haplotype network showing the occurrence of three groups (upper rio Xingu, upper rio Paraguay and upper rio Tapajós). Traces show the number of mutational steps from two adjacent haplotypes. Circle diameters are proportional to the number of individuals, which each haplotype and the colors represent the locality were those haplotypes were found. Upper rio Xingu= Pink (1: dark pink); upper rio Paraguay = Blue (2: light blue; 3: navy blue; 4: dark blue; 5: light pink; 6: orange; 7: light purple; 8: dark purple; 9: white; 10: yellow; 11: light green; 12: dark green); and upper rio Tapajós= Gray (13: light gray and 14: dark gray).

opencc-by-4.0Jun 2013View details →
zenodo40/100

Fig. 3 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. 3. Phylogenetic tree showing relationships among major lineages of Jupiaba acanthogaster from the upper rio Paraguay, upper rio Tapajós and upper rio Xingu, obtained by a maximum likelihood partitioned analysis. Numbers at each of the main nodes represents percentage of bootstrap support obtained by maximum parsimony analysis (1000 bootstrap pseudoreplicates).

opencc-by-4.0Jun 2013View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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