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566 results for “ponds”
High resolution pond velocity measurements, Idaho21
<p>These scientific data were obtained by Jeffrey Nielson and Stephen Henderson of Washington State University, working in collaboration with Sandra Mayne, Caren Goldberg and Jeffrey Manning. High-resolution current meters were used to obtain detailed measurements of water velocity, with supporting measurements of wind velocity and water temperature profiles. Overview of observations in referenced Henderson et al. (2024) L&O paper, more details in included files. </p>
High-Frequency and Water Quality Monitoring Data of Long Pond at Grafton Lakes State Park, New York, United States, 2024
This collection of datasets contains high frequency data captured through Hobo, Minidot, and water level sensors, as well as data collected from manual sampling days. Long Pond is located in Grafton New York, USA named for its long shape and shallower depth (max depth is around 8 meters). Using a buoy, sensors were attached to a rope at the deepest point discoverable and deployed. Data covers all information recorded from 2024-04-30 to 2024-10-09. Times are recorded in Eastern Standard Time. Temperature Readings were taken every 10 minutes at 1 meter intervals by both Minidots and hobo sensors (1.52-7.52 m). Dissolved Oxygen was similarly collected every 10 minutes by the Minidots at depths 1.52, 6.52, and 7.52 meters. Manual measurements (YSI and Secchi disk) were recorded on sampling days, as well as water samples that were assessed for water quality parameters from the top and bottom of the lake. Water level data was also collected in 12 hour intervals.
Ecosystem metabolism and associated modeling parameters for 6 oligotrophic lakes and ponds in a single watershed
This dataset was collected as part of a watershed-scale study to assess impacts of smoke cover on water temperature and rates of ecosystem metabolism in small lakes and ponds. We measured thermal and metabolic responses to smoke in six waterbodies within a high-elevation watershed (watershed area 1908 ha; elevation range 2800-3229 m.a.s.l) located in Sequoia-Kings Canyon National Park in the Sierra Nevada Mountains of California. All lakes and ponds are oligotrophic, and range in maximum depth from 1.5m to 10m. The dataset includes: time series data of dissolved oxygen, water temperature, and environmental parameters relevant to modeling ecosystem metabolism; estimated rates of ecosystem metabolism using the Kalman filter method; descriptive site information including location, size, and depth.
Summer water chemistry, high frequency sensors, zooplankton and benthic macroinvertebrate community composition, periphyton, fish, and macrophyte biomass, along with lake metabolism and greenhouse gas dynamics in six experimental ponds in central Iowa, USA (2020)
This data product contains physical, chemical, and biological data ranging from the minute to daily to weekly scale in six artificial ponds (400 square meter surface area, 2m depth) in central Iowa (USA) 2020. Ponds were paired into three sets of treatment and reference with treatment ponds receiving two nutrient pulses designed to increase ambient phosphorus concentrations ~ 3 - 5%. Nitrogen and phosphorus were added as NH4NO3 and H3PO4, respectively, at a 24:1 molar ratio. The first nutrient pulse occurred on Julian day of year (DOY) 176 corresponding to a 3% increase and the second nutrient pulse occurred on DOY 211 to a 5% increase. Each treatment-reference set had a different food web structure established ranging between low, intermediate, and high complexity based on trophic connectivity and food chain length. Added to this data package is a document titled "2020 Iowa State University Horticultural Farm Experimental Ponds Nutrient Addition Experiment". For experimental set up, context, and a summary table of the data tables archived herein with available variables please review this document. It is added to aid in successful interpretation and to increase ease-of-use. Please email Tyler Butts (tyler.james.butts@gmail.com) for any and all questions regarding context or use of this dataset!
Summary of tundra pond zooplankton and associated environmental data from the Barrow, AK IBP tundra ponds (1970s & 2010s)
A comparison of historic (1970s) and more recent (2010s) zooplankton and environmental data from Arctic tundra ponds near Utqiaġvik, AK has given us valuable insight into changes in zooplankton communities that have occurred in recent times.
The Sierra Lakes Inventory Project: Non-Native fish and community composition of lakes and ponds in the Sierra Nevada, California
The Sierra Lakes Inventory Project (SLIP) was a research endeavor that ran from 1995-2002 and has supported research and management of Sierra Nevada aquatic ecosystems and their terrestrial interfaces. We described the physical characteristics of and surveyed aquatic communities for > 8,000 lentic water bodies in the southern Sierra Nevada, including lakes, ponds, marshes, and meadows. We also created digital map layers for these water bodies when such layers did not exist. The original objective of SLIP was to describe impacts of non-native fish on lake communities, but SLIP data has subsequently enabled study of additional ecological issues, including regional amphibian declines and their impacts on communities, and impacts of non-native fish on terrestrial species. In addition, these data are being used to develop fish removal efforts to restore aquatic ecosystems and recover endangered amphibians. The SLIP data is stored in a relational database that collectively describes water bodies (e.g., depth, elevation, location), surveys (conditions, effort), and communities (including approximately 170 fish, amphibian, reptile, benthic macroinvertebrate, and zooplankton taxa).
Pond Cypress C-111 Basin, Everglades (FCE), South Florida Dendroisotope Data from 1970 to 2000
δ13C values were determined from cypress tree rings from two different study areas in South Florida. One site is located in the Southeastern Everglades Marsh, where pond cypress (Taxodium ascendens) was sampled from tree islands (annual tree rings from 1970 to 2000). Bald cypress (Taxodium distichum) trees were sampled at the other site, located along the Loxahatchee River in a coastal wetland (decadal tree rings from 1830 to 1990). The isotopic time series from both sites display different, location-specific information. The pond cypress isotopic time series has a positive correlation with the total amount of annual precipitation, while the bald cypress data from the Loxahatchee River study area had two different records dependent on the level of saltwater stress. In general, for terrestrial trees growing in a temperate environment, water stress causes an increase in water-use efficiency (WUE) resulting in a relative 13C enrichment. Yet, trees growing in wetland settings in some cases do not respond in the same manner. We propose a conceptual model based on changes in carbon assimilation and isotopic fractionation as controlled by differences in stomatal resistance (water stress) and mesophyll resistance (biochemical and nutrient related) to explain the isotopic records from both sites. With further work and a longer time series, our approach may be tested, and used to reconstruct change in hydroperiods further back in time, and potentially provide a baseline for wetland restoration.
Ecosystem nutrient cycling in northern hardwood and conifer stands at Cone Pond, Hubbard Brook, and Sleepers River
This dataset provides comprehensive measurements of nutrient concentrations and fluxes in foliage, fine roots, wood, litterfall, and throughfall in hardwood and conifer stands across temperate forest stands at three long-term ecological research sites in the northeastern United States: Cone Pond, NH, Hubbard Brook, NH, and Sleepers River, VT. These sites vary in bedrock composition, parent material, and soil chemistry, but share similar climatic characteristics. Tissue nutrient concentrations were determined in leaves, fine roots, wood, and branches using site- and tissue-specific methods, with additional quality control through certified standards and duplicate sampling. Nutrient fluxes via litterfall and throughfall were measured over multiple years. Nutrient fluxes in roots were estimated from minirhizotron-based turnover rates and fine root biomass. Annual nutrient accumulation and uptake were calculated by integrating biomass production and nutrient concentrations. This dataset supports cross-site comparisons of forest biogeochemistry and provides a basis for evaluating nutrient limitations, cycling processes, and ecosystem responses to environmental gradients in northeastern temperate forests.
Survey of pond habitats and aquatic diversity of Madison, Wisconsin from May to Aug 2019 and 2020 Data Set
1) Urbanization may lead to changes in local richness (alpha diversity) or in community composition (beta diversity), although the direction of change can be challenging to predict. For instance, introduced species may offset the loss of native specialist taxa, leading to no change in alpha diversity in urban areas, but decreased beta diversity (i.e., more homogenous community structure). Alternatively, because urban areas can have low connectivity and high environmental heterogeneity between sites, they may support distinct communities from one another over small geographic distances. 2) Wetlands and ponds provide critical ecosystem services and support diverse communities, making them important systems in which to understand consequences of urbanization. To determine how urban development shapes pond community structure, we surveyed 68 ponds around Madison, Wisconsin, USA, which were classified as urban, greenspace, or rural based on surrounding land use. We evaluated the influence of local abiotic factors, presence of nonnative fishes, and landscape characteristics on alpha diversity of aquatic plants, macroinvertebrates, and vertebrates. We also analyzed whether surrounding land cover was associated with changes in community composition and/or the presence of specific taxa. 3) We found a 23% decrease in mean richness (alpha diversity) from rural to urban pond sites, and a 15% decrease in richness from rural to urban greenspace pond sites. Among landscape factors, observed pond richness was negatively correlated with adjacent developed land and mowed lawns, as well as greater distances to other waterbodies. Among pond level factors, habitat complexity was associated with increased richness, while the presence of invasive fish was associated with decreased richness. 4) Beta diversity was relatively high for all ponds due to turnover in composition between sites. Urban ponds supported more introduced species, lacked a subset of native species found in rural ponds,
Data: Disentangling drivers of temporal changes in urban pond macroinvertebrate diversity
<p>Data for: (i) presence and abundance of Odonata and Trichoptera (larvae), and Coleoptera and Hemiptera (larvae and adults) species in ponds in Stockholm, Sweden, in 2014 and 2019, (ii) environmental data 2014 and 2019 (pond data like water chemistry, and land-change data), (iii) coordinates of ponds and pond area, (iv) and R script to reproduce analyses presented in Granath et al. 2024 (Urban Ecosystems, https://doi.org/10.1007/s11252-023-01500-2). A meta-data file with descriptions of the data files is also included.</p>
Alaska Lake and Pond Occurrence Dataset
<p>The Alaska Lake and Pond Occurrence Dataset (ALPOD) is a spatially explicit map of seasonal fluctuations in lake and pond extent across Alaska. ALPOD is constructed from Sentinel-2 imagery and its lake occurrence raster has a 10 m resolution, with each pixel recording the percentage of observations classified as open water during the 2016-2021 ice-free seasons at near-daily temporal resolution. The number of water bodies depends on the occurrence threshold, but a conservative estimate is that ALPOD maps over 800,000 lakes and ponds larger than 0.001 square km. The data format includes lake occurrence rasters tiled by UTM zone and latitude, as well as a vector product defined based on a 25% occurrence threshold. ALPOD was created using a U-Net lake identification model and manual inspection to produce a maximum possible lake extent mask. This mask serves as the region of interest for an adaptive NDWI threshold water classification algorithm written in Google Earth Engine, which was used to classify open water within the maximum lake mask in every available cloud and ice free Sentinel-2 image during the study period. The resulting dataset is suitable for investigations of individual water bodies as well as lake and pond patterns across Alaska.</p> <p>Geotiffs included here are 10 m resolution lake occurrence rasters with each pixel recording the percentage of observations classified as open water during the 2016-2021 ice-free seasons. They are tiled by UTM zone above 60 degrees north. Regions below 60 degrees north are separated into two geotiffs.</p>
Dataset _ Influence of the seasonal variation of environmental conditions on biogas upgrading in an outdoors pilot scale high rate algal pond
<p>This is the dataset used for the publication of the journal article title<em> “</em><strong>Influence of the seasonal variation of environmental conditions on biogas upgrading in an outdoors pilot scale high rate algal pond”. </strong>In this dataset there is all the information collected in the experimentation process.</p>
South Bay Salt Pond Restoration Project – Phase-1 (2010-2012) Sentinel Species Health Monitoring.
The South Bay Salt Pond Restoration Program (SBSPRP) is the largest wetland restoration project in the western United States, restoring approximately 15,000 acres of former salt evaporation ponds (southbaysaltpond.org) to benefit wildlife and fish populations. Restoration on a large scale comes with many risks and uncertainties. Therefore, restoration was planned in several phases, with an adaptive management approach and applied scientific studies to address the uncertainty of different restoration strategies. These strategies included breaching ponds to create fully tidal habitats, installing tide gates to create muted tidal habitats and active management of existing ponds. This mosaic of restoration designs was intended to benefit many species of salt marsh dependent biota, including birds, fish and mammalian species. The Longjaw Mudusucker (Gillichthys mirabilis) is a resident estuarine fish, ranging from Mexico to Humboldt Bay, California, USA, and is one of the most abundant fishes in high intertidal salt-marsh habitat. The Longjaw Mudsucker depends on high intertidal creeks in marshes dominated by pickleweed (Sarcocornia sp). The fish reside within burrows in soft sediments and is the only fish species that can remain in intertidal creeks during low tide when the creeks completely de-water. Longjaw Mudsucker have a wide tolerance range for salinity, up to 80-ppt and can be the only fish species to occupy industrial salt ponds in the San Francisco Estuary. In this study, UC Davis conducted minnow trap sampling in remnant pickleweed marshes and adjacent salt pond restorations to document the distribution, relative abundance, and condition (length-weight) of fish occupying these extant and restored habitats. During the pilot effort in late summer-fall of 2010 we conducted minnow trap sampling across a number of sites in the Alviso Marsh, Eden Landing Marsh, Ravenswood Marsh and Bair Island Marsh, sampling muted restoration ponds, tidal restoration ponds and remn
Thermal profiles in ponds and shallow lakes during summer to winter shoulder season
Autumn is an important transition time for freshwater ecosystems where many lakes turnover, going from thermally stratified to mixed in a short time. Ponds are more globally abundant than lakes, yet, the seasonal transition of ponds is poorly understood. To evaluate the mixing regimes of ponds, we examined summer into autumn thermal dynamics in 37 ponds and shallow lakes across temperate North America and Europe. This dataset provides a time series dataset of water temperatures across the water column along with characteristics of each study waterbody, including some physical, chemical, and biological parameters. Data from four waterbodies (Eddy, Tumbledown, Cranberry, Horns) have more extensive datasets published in Gavin et al. (2025). Gavin, A.L., J.E. Saros, R. Hovel, S. Birkel, S. Nelson, W.H. McDowell, and J. Daly. 2025. Sub-Alpine Lake (>600 m) High-Frequency Water Temperature, DOC (2007-2021), and Weather Station (Fall 2023) Dataset, Maine, USA. ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/6c6286abeccc90448af0f73251843407 (Accessed 2025-09-16).
Alligator pond food-web sampling in Shark River Slough and Taylor Slough, Everglades National Park, Florida, USA, 2018–2019
These datasets were used to investigate if American Alligators engineer differences in nutrient availability and changes to community structure by their creation of “alligator ponds” compared to the surrounding phosphorus (P)-limited oligotrophic marsh in the Everglades. We used a halo sampling design of three distinct habitats extending outward from ten active alligator ponds across a hydrological gradient. We performed nutrient analysis on basal food-web resources and quantitative community analyses, and stoichiometric analyses on plants and animals. These data underly the work in Strickland et al. (2023). An apex predator engineers wetland food-web heterogeneity through nutrient enrichment and habitat modification. Journal of Animal Ecology.
Greenhouse gas and water chemistry data from urban ponds in Madison, Wisconsin during the summer and under-ice period of 2021-2022
Stormwater ponds are common features in urbanized landscapes and can suffer from rapid oxygen depletion when thermally stratified or ice-covered. To investigate under-ice oxygen dynamics and drivers of bottom water oxygen saturation, we sampled 20 stormwater ponds in Madison, Wisconsin, USA during the summer of 2021 and winter 2022. The urban ponds ranged in age, shape, size, and depth. We repeatedly took YSI profiles of water temperature, oxygen, and specific conductance 7 times in the summer and 3 times in the winter. Water chemistry variables were collected in the surface waters, habitat surveys were conducted in the summer, and ice/snow thickness was recorded in the winter. We also measured the concentration of greenhouse gases in the surface waters as a consequence to oxygen depletion using the headspace equilibrium method.
Pond environmental and taxonomic data for Niwot Ridge and Green Lakes Valley, 2021 - ongoing.
This is a summary of basic environmental data and benthic macroinvertebrates from water in ponds in the vicinity of the Niwot Ridge LTER. Ponds were selected across a range of elevations, sizes, and positions relative to glacial, stream, and lake water sources. Ponds sampled occurred on Niwot Ridge and throughout the Green Lakes Valley.
Quantifying wind-driven dispersal of zooplankton in a Mediterranean pond
<p>Dispersal is an essential component in the life history of organisms and has strong ecological implications. Although it has been assumed that small organisms have very high dispersal rates, quantitative data supporting this claim remains scarce. In the context of zooplankton, wind stands out as a primary vector facilitating passive dispersal. We quantified short-distance wind-driven dispersal of propagules across various zooplankton taxa in a Spanish Mediterranean coastal temporary pond. We have also studied dispersal patterns in relation to the wind regime (intensity, steadiness and gust direction), source pond status (volume of water) and demographic dynamics (the abundance of individuals in water column populations). Further, we related propagules size merurements (surface, L2 and volume, L3) with dispersal distances. Additionally, we have performed measurements of the dispersed propagules and investigated the relationship between their dimensions and the dispersive distance on a local scale. Here, we present the raw data gathered during research.</p>
Environmental DNA captures signals of the internal structure of a pond metacommunity
<p>R Code for the study of "<strong>Environmental DNA captures signals of the internal structure of a pond metacommunity"</strong></p>
Divergent geographic patterns and functional characteristics: Subtle mapping for ponds in the Yangtze River Delta Region
<p>Pond water surfaces (PWS) possess diverse functional types, such as aquaculture, agriculture-water supplement, and ecosystem regulation. However, existing research often treats PWS as a homogeneous aquatic ecosystem; the absence of a comprehensive PWS classification system hinders ours understanding of PWS background characteristics and is detrimental to watershed management. Here, a comprehensive classification system of PWS, including fish aquaculture ponds (FAP), shrimp and crab aquaculture ponds (SCAP), natural ponds (NP), and landscaping ponds (LP) was proposed from remote sensing perspectives. Additionally, interpretation rules were standardized from multi-features including spectrum, shape, topography, and surrounding geographical environments. Subsequently, refined spatiotemporal data product of PWS in the Yangtze River Delta from 2016 to 2022 was generated using Sentinel-2 images with 10 m spatial resolutions. The results indicate that: (1) The spatiotemporal changes exhibited three stages, i.e., “declining – stable – recovery.” The area of PWS decreased from 5186.52 km² to 4920.90 km²in 2016-2017, stabilized at approximately 4500 km² in 2019-2021, and then rebounded to 4834.12 km² in 2022. (2) Regarding different PWS functional types, significant differences were demonstrated in terms of area, surrounding environment, and spatiotemporal changes. Firstly, FAP dominated in terms of area, accounting for 47.81% of the total. Secondly, FAP was widely around rivers and lakes. At the same time, SCAP was concentrated around lakes or along the coast, LP was primarily found in urban areas, and NP was predominantly found in rural areas and mountainous regions; Thirdly, NP decreased as land remediation work progressed continuously, while LP increased due to policy support for urban renewal. Changes in aquaculture were more complex, experiencing a sharp decline from 2016 to 2020 due to reduced market demand but rebounded in 2021-2022 with supportive policies. In summary, the system and data products developed in this study reveal the diverse relationships of "functional type-geographical environment-driving factor" regarding PWS, implicating appropriate planning for aquatic ecosystem.</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.