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566 results for “ponds”
Spatial, environmental, and functional distances among temporal ponds attenuate synchronization, stabilizing plant richness and biomass dynamics
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Year 1 Tanzanian ponds snail-parasite dynamics
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Homing through ecological barriers in Balkan pond turtles
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Data for: Morphological species delimitation in the Western Pond Turtle (Actinemys): Can machine learning methods aid in cryptic species identification?
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Mysterious microsporidians: springtime outbreaks of disease in Daphnia communities in shallow pond ecosystems
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Summer Water Quality Data from four ponds at Grafton Lakes State Park, New York, United States: 2022
Lake water quality data was collected on four ponds in Grafton Lakes State Park, NY, USA to establish long-term monitoring sites. Samples were collected once a month from May to July of 2022. Temperature and dissolved oxygen profiles were collected using a YSI Sonde. Secchi disk depths were recorded during the July sampling event.
Dissolved oxygen and pH data collected in shallow riparian ponds from June - September 2013 for a study on hypoxia and hyperoxia.
Dissolved Oxygen and pH data collected using YSI sondes in shallow riparian ponds over three 72 hour periods in June, July, and September focused on patches of dominant vegetation within this pond. The differences in data represent the impact of these dominant vegetation patches on the oxygen dynamics and metabolism of the aquatic system. Data was collected either hourly or in five minute increments over the three study periods which were intended to capture spring (June), summer (July), and fall (September) conditions in the pond. The pond did experience successive states of pond vegetation over the seasons so some macrophytes are not represented in all seasons. Data also includes summary information taken from the primary oxygen data showing hours of hypoxia or hyperoxia or basicity in the various vegetation treatments.
Drought and heatwave mesocosm experiment on Canadian Rocky mountain periphyton communities from alpine ponds.
The accelerating rate of global climate change at higher elevations and latitudes is increasing the potential for extreme climatic events. Here, a knowledge gap exists in how the order of exposure to and duration of droughts and heatwaves affect their cumulative impact on aquatic communities. We tested experimentally for the effects of simultaneous versus sequential exposures to drought and heatwave on sediment-dwelling algal communities (epipelon) from small fishless alpine lakes. In both simultaneous and sequential exposure treatments involving drought followed by a heatwave the negative effect of drought offset the negative effect of warming on chlorophyll-inferred algal biomass and taxonomic composition. Reversal of order of exposure (i.e., heatwave followed by drought) lowered their cumulative effect on community structure. These findings highlight the potential for drought events to dominate over heatwaves in altering shallow littoral ecosystems at high elevations under a rapidly warming climate.
Dataset for: The influence of mixing on seasonal carbon dioxide and methane fluxes in ponds
Inland waters are important sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). Ponds have amongst the highest CO2 and CH4 fluxes of all aquatic ecosystems, yet seasonal variation in fluxes remain poorly characterized, creating challenges for accurately estimating annual emissions. Further, ponds can exhibit a range of mixing regimes, yet the impact of mixing regimes on gas emissions remains unclear. Here, we assessed annual dynamics of CO2 and CH4 in four temperate ponds (Minnesota, USA) that varied in mixing regimes. This dataset includes high frequency temperature data for each pond to asses mixing, and CO2 and CH4 emissions and concentrations taken by-weekly from 2021-2022.
Survival and growth of south Florida slash pines in four seasonal ponds at Archbold Biological Station, 1992-2001
These data summarize survival and plant size (height, basal diameter) for south Florida slash pine (Pinus elliottii var. densa) in four seasonal ponds at Archbold Biological Station from 1992-2001. Plants were seedlings, saplings, or small trees. The seasonal ponds were favorable for growth (0.1-0.6 m in height per year) and annual survival (usually over 80%) in the absence of fire or major flooding events. Flooding episodes during most of the study ranged from 3-11 months each year. Mortality increased with flooding intensity and decreased with plant size. Growth rates were not affected by flooding. Near the end of the study, two fires killed 72% of these pines (low intensity, prescribed) and 100% of these pines (intense wildfire). The study suggests that most seasonal ponds do not support large south Florida slash pine individuals despite generally favorable conditions, because of periodic flooding and fire.
Del 13C ratios were measured for mosses collected from terrestrial, emergent and submerged sites in pond 13 of Imnavait Creek, North Slope Alaska 1990.
Del 13C ratios were measured for mosses collected from terrestrial, emergent and submerged sites in pond 13 of Imnavait Creek. Terrestrial mosses were collected from dry sites near the pond margin, emergent mosses were collected from the littoral zone of the pond and submerged mosses were collected from deep in the pond.
Cone Pond, Thornton, NH water chemistry
Cone Pond is an acidic pond on the White Mountain National Forest, NH, USA that was monitored for several decades to investigate the ecology of an acidic aquatic ecosystem and to document impacts of acid deposition. This dataset includes chemical analyses of water samples collected at Cone Pond from 1988 to 2013.
McMurdo Dry Valleys Upper Pond Nematode Survey Experiment
In January 2001, we surveyed streams and ponds above 300 m asl in Taylor Valley, South Victoria Land, Antarctica. One pond was examined in detail. Organic materials covered nearly 100% of the adjacent soil to 5-20 m from the shore, with intermittent patches to 80 m. Organic matter averaged 257 gC/m2, and totaled 1388 kg organic C on the soil around the pond. Soil moisture content (0.56 to 12.41%) decreased with distance from shore, whereas pH (7.8 to 10.8) increased with distance. Electrical conductivity was lowest in the soils less than 10 m from the pond (416 +- 94 uS/cm). Mineral soil organic C and total N concentrations were greatest between 10-30 m from the edgeof the pond (1.21 +- 0.37 and 0.13 +- 0.05 mg/g soil, respectively). Soil invertebrates were present in only 50% of samples and included tardigrades, rotifers and two nematodes, Scottnema lindsayae and Plectus antarcticus. A non-parametric, discriminant function analysis based on soil moisture, soil organic carbon and electrical conductivitycorrectly predicted 87.0% of sites that had invertebrates and 70.8% of sites for which invertebrates were absent. Tardigrades, rotifers and Plectus were found only in the wettest soils nearest the pond whereas Scottnema was restricted to drier soils farther from shore. Other ponds and streams also showed substantial accumulations of organic matter, suggesting that upland wetlands serve as resource islands in these polar deserts that provide a source of organic matter to nearby soils.
McMurdo Dry Valleys Metacommunity dynamics simulations for diatoms in Antarctic ponds
We use metacommunity simulations to understand how local and regional community assembly dynamics influence the regional biodiversity patterns that we observe in the McMurdo Dry Valleys ecosystem. A metacommunity refers to a network of communities in an ecosystem that are connected to one another by the dispersal of biota among sites. For example, ponds in the McMurdo Dry Valleys share common diatom species that are likely dispersed among neighboring ponds by wind. We have written a metacommunity model for the R programming language (MCSim, Sokol et al. 2015) to explore what biodiversity patterns look like for different metacommunity connectivity scenarios. This gives us the opportunity to model alternative hypotheses and explore how biodiversity metrics, such as beta-diversity, can be expected to respond to changing ecosystem connectivity for different sets of assumptions about the underlying dynamics that could potentially control biodiversity in the Dry Valleys.Â
Pond diatom communities from the McMurdo Sound region of Antarctica, assessed from modern samples (2012-2016) and from historical samples collected during Shackleton’s Nimrod Expedition (1908-1909)
We performed a field survey to characterize diatom communities living in the benthic microbial mats of ponds across the McMurdo Sound region of Antarctica. Samples were collected during the Austral summers of 2012-13, 2013-14, and 2015-16 from the McMurdo Dry Valleys, Cape Royds, and from Hut Ridge near McMurdo Station. We also characterized pond diatom communities in samples collected on various dates from 1908-1909 during Ernest Shackleton’s Nimrod Expedition to compare against modern samples. Historical samples were taken from Cape Royds and the Stranded Moraines, and were analyzed from slides stored at the Natural History Museum, London. This data package includes relative abundance data for diatom species found in these modern and historical samples.
PIE LTER diel surface water chemistry of two high marsh ponds, Rowley, MA, during the summer of 2016.
We measured diel fluctuations in surface water chemistry of two high marsh ponds in July 2016. The ponds are shallow and experience day-night swings in oxygen concentrations, from super-saturation to anoxia. Our goal was to characterize changes in geochemical properties and dissolved organic carbon concentrations that accompany wide swings in oxygen concentrations. These data provide information about the responsiveness of microbial communities and how the dominance of redox-sensitive metabolisms changes over short time scales (e.g., hours) to feed back on pond water chemistry.
Estimating survival for elusive juvenile pond‐breeding salamanders
<p>Juvenile vital rates have important effects on population dynamics for many species, but this demographic is often difficult to locate and track. As such, we frequently lack reliable estimates of juvenile survival, which are necessary for accurately assessing population stability and potential management approaches to conserve biodiversity. We empirically estimated survival rates for elusive juveniles of 3 complex lifecycle species of salamanders (ringed salamander [<i>Ambystoma annulatum</i>]<i>, </i>spotted slamander<i> </i>[<i>A. maculatum</i>]<i>, </i>and small-mouthed slamander [<i>A. texanum</i>]) using 2 approaches. First, we conducted an 11-month mark-recapture study within semi-natural enclosures and used Bayesian Cormack-Jolly-Seber models to estimate survival and recapture probabilities. Second, we inferred the expected annual juvenile survival rate given published vital rates for pre-metamorphic and adult ambystomatids assuming stable population growth. For all 3 species, juvenile survival probabilities were constant across recapture occasions, while recapture probability estimates were time-dependent. Further, survival and recapture probabilities among study species did not significantly differ. Post-study sampling revealed that the initial study period median estimate of annual survival probability (0.39) underestimated the number of salamanders known alive at 11 months. We therefore appended approximately 1 year of opportunistic data, which produced a median annual survival probability of 0.50, encompassing salamanders that we knew to have been alive. Calculation from literature values suggested a mean annual terrestrial juvenile ambystomatid survival probability of 0.45. Similar results among our approaches indicated that juvenile survival estimates for the study species were robust and likely comparable to rates in nature. These estimates can now be confidently applied to research, monitoring, and management efforts for the study species and ecologically similar taxa. Our data indicated that similarly robust vital rate estimates for subsets of ecologically and phylogenetically similar species can provide reasonable surrogate demographic information to advance conservation efforts for data-deficient species.</p>
Photomicrographs of bedded halite and gypsum sand from the Bonneville Salt Flats and an evaporation pond
<p>Photomosaic images of thin sections and photomicrographs of evaporite features from the Bonneville Salt Flats. </p>
Data from: Landscape genetic inferences vary with sampling scenario for a pond breeding amphibian
A critical decision in landscape genetic studies is whether to use individuals or populations as the sampling unit. This decision affects the time and cost of sampling and may affect ecological inference. We analyzed 334 Columbia spotted frogs at 8 microsatellite loci across 40 sites in northern Idaho to determine how inferences from landscape genetic analyses would vary with sampling design. At all sites, we compared a proportion available sampling scheme (PASS), in which all samples were used, to resampled datasets of 2-11 individuals. Additionally, we compared a population sampling scheme (PSS) to an individual sampling scheme (ISS) at 18 sites with sufficient sample size. We applied an information theoretic approach with both restricted maximum likelihood and maximum likelihood estimation to evaluate competing landscape resistance hypotheses. We found that PSS supported a low-density forest model (0.87) and ISS supported this model as well as additional models when testing hypotheses of landcover types that create the greatest resistance to gene flow for Columbia spotted frogs. Increased sampling density and study extent, seen by comparing PSS to PASS, showed a change in model support from a model of only low-density forest to a model of only high-density forest. As number of individuals increased, model support converged at 7 individuals for ISS to PSS. ISS may be useful to increase study extent and sampling density, but may lack power to provide strong support for the correct model with microsatellite datasets. Our results highlight the importance of additional research on sampling design effects on landscape genetics inference.
Long-term sulphide mitigation through molybdate at shrimp pond bottoms
<p>Shrimp are commonly cultured in earthen aquaculture ponds where organic-rich uneaten feed and faeces accumulate on and in the sediment to form anaerobic zones. Since the pond water is rich in sulphate, these anaerobic conditions eventually lead to the production of sulphide. Sulphides are toxic and even lethal to the shrimp that live on the pond sediment, but physicochemical and microbial reactions that occur during the accumulation of organic waste and the subsequent formation of sulphide in shrimp pond sediments remain unclear. Molybdate treatment is a promising strategy to inhibit sulphate reduction, thus, preventing sulphide accumulation. We used an experimental shrimp pond model to simulate the organic waste accumulation and sulphide formation in a long-term experiment (61 days). Sodium molybdate (5 and 25 mg/L Na2MoO4.2H2O) was applied as a preventive strategy to control sulphide production before oxygen depletion. Molybdate addition mitigated H2S production in the sediment, and delayed its transfer to the bulk liquid by pushing the higher sulphide concentration zone towards deeper sediment layers. Molybdate treatment at 25 mg/L significantly impacted the overall microbial community composition and treated samples (5 and 25 mg/L molybdate) had about 50% higher relative abundance of sulphate reducing bacteria than the control (no molybdate) treatment. In conclusion, molybdate worked as long-term mitigation strategy against sulphide accumulation by directly steering the microbial community in a shrimp pond system.</p>
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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.
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.