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73 results for “shallow lake”
Zooplankton and macroinvertebrate size spectra, biomass, and community composition; and harvest of bigmouth buffalo and common carp in six shallow lakes in Iowa, USA (2018-2020)
This data product contains biological data collected within six shallow lakes in Iowa, USA between 2018 - 2020, where four lakes were undergoing targeted removals of common carp (Cyprinus carpio) and bigmouth buffalo (Ictiobus cyprinellus). Parts of these data were a portion of Albright et al. 2022 (https://doi.org/10.6073/pasta/1d3797fd573208bae6f78963479445a0), however the data herein include additional survey data from the Ambient Lake Monitoring network instituted through Iowa State University and the Iowa Department of Natural Resources (https://www.iowadnr.gov/environmental-protection/water-quality/water-monitoring/ambient-lake-monitoring#ambient-lake-monitoring-sampling-plan). Data are packaged and formatted specifically for size spectra analysis and compositional analysis.
Summer water chemistry; sediment phosphorus fluxes and sorption capacity; sedimentation and sediment resuspension dynamics; water column thermal structure; and zooplankton, macroinvertebrate, and macrophyte communities in eight shallow lakes in northwest Iowa, USA (2018-2020)
The primary aim of this data product is to characterize change in water chemistry, sediment-water interactions, and biological communities in shallow, eutrophic lakes undergoing a fishery biomanipulation. We studied eight glacial lakes located in northwest Iowa, USA, from 2018 to 2020 during the summer season (May to September). A subset of these lakes (n = 4; Center, Five Island, North Twin, and Silver Lakes) were part of a fishery biomanipulation in which the Iowa Department of Natural Resources (IDNR) incentivized commercial harvest of common carp (Cyprinus carpio) and bigmouth buffalo (Ictiobus cyprinellus). Harvests occurred in Center and Five Island Lakes during 2018-2019 and in North Twin and Silver Lakes during 2019-2020. Between 73 and 373 kg fish biomass per ha were removed each year. The other study lakes (n = 4; Blue, South Twin, Storm, and Swan Lakes) remained unmanipulated during the study period. Over the course of the biomanipulation, we quantified a suite of physical, chemical, and biological parameters across the study lakes. High frequency aquatic sensors were used to measure water column thermal structure, dissolved oxygen concentrations, and algal pigments. Manual water chemistry sampling further quantified suspended solids, total phosphorus and nitrogen, soluble reactive phosphorus, nitrate, and water clarity. We measured flux rates of phosphorus between bottom sediments and the overlying water using ex situ sediment core incubations under both oxic and anoxic conditions. We further quantified sediment phosphorus sorption capacity using equilibrium phosphorus concentration assays. Tiered sediment traps were used to measure sedimentation rates as well as sediment resuspension in bottom waters. We also measured change in zooplankton, macroinvertebrate, and macrophyte community composition and abundance. These data will be used to better understand the mechanisms of internal phosphorus loading in shallow lakes and the ecosystem effects of fisherie
LAGOS-NE Shallow Lakes: a dataset of lake variables and multi-scaled ecological context variables used to predict and compare trophic status and TP:CHLa relationships between shallow and non-shallow lakes in the Upper Midwest and Northeastern United States.
We conducted a macroscale study of 2,210 shallow lakes (mean depth ≤ 3m or a maximum depth ≤ 5m) in the Upper Midwestern and Northeastern U.S. We asked: What are the patterns and drivers of shallow lake total phosphorus (TP), chlorophyll a (CHLa), and TP–CHLa relationships at the macroscale, how do these differ from those for 4,360 non-shallow lakes, and do results differ by hydrologic connectivity class? To answer this question, we assembled the LAGOS-NE Shallow Lakes dataset described herein, a dataset derived from existing LAGOS-NE, LAGOS-DEPTH, and LAGOS-CLIMATE datasets. Response data variables were the median of available summer (e.g., 15 June to 15 September) values of total phosphorus (TP) and chlorophyll a (CHLa). Predictor variables were assembled at two spatial scales for incorporation into hierarchical models. At the local or lake-specific scale (including the individual lake, its inter-lake watershed [iws] or corresponding HU12 watershed), variables included those representing land use/cover, hydrology, climate, morphometry, and acid deposition. At the regional scale (e.g., HU4 watershed), variables included a smaller set of predictor variables for hydrology and land use/cover. The dataset also includes the unique identifier assigned by LAGOS-NE(lagoslakeid); the latitude and longitude of the study lakes; their maximum and mean depths along with a depth classification of Shallow or non-Shallow; connectivity class (i.e., whether a lake was classified as connected (with inlets and outlets) or unconnected (lacking inlets); and the zone id for the HU4 to which each lake belongs. Along with the database, we provide the R scripts for the hierarchical models predicting TP or CHLa (TPorCHL_predictive_model.R), and the TP—CHLa relationship (TP_CHL_CSI_Model.R) for depth and connectivity subsets of the study lakes.
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).
3D wind speed and CO2/H20 concentration measurements collected during austral summer 2017/2018 over an ice free surface of a shallow lake located in the Schirmacher oasis, East Antarctica.
<p>The data set includes measurements collected by the integrated CO2 and H2O open-path gas analyzer and 3-D sonic anemometer (Irgason by Campbell Scientific with serial number 1243, https://www.campbellsci.com/irgason). The instrument was operated from 01.01.2018 to 07.02.2018. It was deployed on the north-west shore of the Lake Zub/Priyadarshini (S70° 45′ 41.5″, E011° 44′ 16.6″) on the distance of 10 m from the coast. The instrument was placed on the aluminum tripod on the height of 2 m, and directed to south-eastwards (137 SE). Six metal guidelines were linked to anchors, and the boom was fixed on the tripod. Two rechargeable batteries (12V/33Ah) were used in additional to two solar panels to power supply of the instrument (irgason_deployment.jpg). The format of the output files is given in Irgason_output.pdf. The raw data are packed into the *.dat files (one per day) and then compressed (bz2). The calibration of the Irgason was done 21.08.2017 in the lab of the Finnish Meteorological Institute with standard zero-and-span procedure, and then the instrument is adjusted accordingly.</p>
Salinity - water level relationships in shallow lakes: Data
<p>Data consists of water levels and salinity of 159 lakes across southwest Australia, collected as part of the South West Wetlands Monitoring Program (Lane et al., 2017). The data was collected between 1977 and 2019 by staff from the Department of Biodiversity Conservation and Attractions, Western Australia, and its predecessors. </p> <p>Description of files:</p> <p>SiteSummary.xlsx</p> <ul> <li>An Excel file with basic lake descriptions, including names and geographic coordinates. </li> </ul> <p>WaterData.csv</p> <ul> <li>A comma delimited ascii file consisting of a lake identifier, a date of observation, a lake level relative to the deepest bed elevation, the measured salinity (g/L).</li> </ul> <p>Bathymetry.xlsx</p> <ul> <li>An Excel file with bathymetries of a subset of lakes</li> </ul>
Dataset for: Common carp (Cyprinus carpio) invasion alters greenhouse gas emissions in shallow lakes.
Climate change and invasive species are among the most important environmental problems of this century. Freshwaters are important regulators of the global carbon cycle and a key source of atmospheric greenhouse gases. However, freshwater environments may be particularly susceptible to species invasion and adverse effects, and the consequences of altered species assemblages on greenhouse gas emissions remain poorly understood. In this study, we analyzed the impact of one of the world's most damaging invasive species, the common carp, on freshwater greenhouse gas emissions. We show that lakes with invasive carp had lower methane emissions despite increased eutrophication, contradicting the well-established assumption that methane emissions from lakes increase with nutrient levels and productivity. This is likely due to substantial depletion of the benthic environment. As invasive species spread continues, new species assemblages may therefore disrupt ecosystem functioning and diverse global cycles in unexpected ways.
Dataset for: Invasion of Common Carp (Cyprinus carpio) Reduces the Quality of Bottom Sediments in Shallow Lakes
Species invasions are one of the main anthropogenic forces reshaping ecological structure and function in lakes during the 21st century. Common carp (Cyprinus carpio) are among the most globally widespread and damaging aquatic invasive species, with the capacity to significantly alter lake ecosystems. While it is well documented that carp feeding activity can disturb sediments, decrease water quality, and reduce macrophyte and fish diversity, less is known about how carp influence sediment chemistry and nutrient cycling. Here, we examined the effect of carp invasion on sediment phosphorus (P) dynamics and organic matter quality in shallow lakes. We compared P fractions in sediments of lakes with established carp populations and those from carp-free reference lakes. We found that lakes with carp had depleted surficial sediments, with significantly lower organic P (0.16 vs. 0.41 mg g-1) and higher C/P ratios (972 vs. 639) than lakes without carp. Carp lakes had higher concentrations of water-column total P (370 vs. 160 μg L-1), though a mass balance between sediment labile P and water-column P was similar for lakes with and without carp, indicating sediment P loss due to carp is largely kept in the water column. Sediments are a crucial component of lake ecosystems, and a reduction in sediment organic matter quality by invasive carp can alter food web dynamics and geochemical processes in invaded lakes.
Climate-associated variation in the drivers of benthic macroinvertebrate species-area relationships across shallow freshwater lakes
<p><span>The island species-area relationship (ISAR) describes how species richness increases with increasing area of a given island or island-like habitat, such as freshwater lakes. </span><span>While the ISAR is one of the most common phenomena observed in ecology, there is variation in both the form of the relationship and its underlying mechanisms.</span></p> <p><span>We compiled a global dataset of benthic macroinvertebrates from 524 shallow freshwater lakes, ranging from 1 to 293300 ha in area. We used individual-based rarefaction to determine the degree to which ISAR was influenced by mechanisms other than passive sampling (larger islands passively sample more individuals from the regional pool and, therefore, have more species than smaller islands), which would bias results away from expected relationships between rarefied species richness (and other measures that capture relative abundances) and lake area. We also examined how climate may alter the shape of the ISARs. </span></p> <p><span>We found that both rarefied species richness (the number of species standardized by area or number of individuals) and a measure of evenness emphasizing common species exhibit non-significant relationships with lake area, suggesting that the expected ISARs in these lakes most likely result from passive sampling. </span><span>While there was considerable variation among ISARs across the investigated lakes, we found an overall positive rarefied ISAR for lakes in warm (i.e., tropical/subtropical) regions (n = 195), and in contrast, an overall negative rarefied ISAR in cool (i.e., north temperate) lakes (n = 329). This suggested that mechanisms beyond passive sampling (e.g., colonization-extinction dynamics and/or heterogeneity) were more likely to operate in warm lakes. One possible reason for this difference is that the area-dependent intensity of fish predation, which can lead to flatter ISARs, is weaker in warmer relative to cooler lakes.</span></p> <p><span>Our study illustrates the importance of understanding both the pattern and potential processes underlying the ISARs of freshwater lakes in different climatic regions. Further, it provides a baseline for understanding how further changes to the ecosystem (i.e., in lake area or climate) might influence biodiversity patterns. </span></p>
CLIMATE CHANGE EFFECTS ON A SUBTROPICAL COASTAL SHALLOW LAKE FROM HEATWAVE INDEXES
<p>This zipped folder contains the files used to generate the results of this article, submitted to the journal Earth Systems and Environment.</p>
Fig. 5 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 5. (left column) Distribution-based Redundancy Analysis (db-RDA) ordination diagram of Lake Chapala with environmental variables (thick arrows), atherinopsids species (italic letters), sampling sites (numbers), and principal coordinates axes (thin arrows) at dry season (a: May of 1999) and rainy season (b: August of 1999; c: 2000). The fish are: jordani = Chirostoma jordani; consocium = Chirostoma consocium; labarcae = Chirostoma labarcae. The environmental variables are: Temp = temperature, DO = dissolved oxygen, Sal = salinity. In figure 5c shallow sites are in italic and deep sites in regular.
Fig. 3 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 3. GAM results for May and August of site influence on fish density to show differential distribution of species in Lake Chapala. a: Chirostoma jordani; b: Chirostoma consocium; c: Chirostoma labarcae. Circles represent the residuals. Spline fit (solid line) is bound by 95% confidence intervals (dotted lines).
Fig. 2 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 2. GAM results for May of environmental characteristics influence on fish density. a: effect of depth (m) on Chirostoma jordani; b: effect of temperature (°C) on C. jordani; c: effect of salinity on C. consocium. Circles represent the residuals. Spline fit (solid line) is bound by 95% confidence intervals (dotted lines).
Fig. 1 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 1. Map of Lake Chapala, Mexico. Numbers in bold represent sample sites and numbers in italic lake depths.
Fig. 3 in Dragonfly Assemblages Of A Shallow Lake Type Reservoir (Tisza-Tó, Hungary) And Its Surroundings
Fig. 3. Hierarchical cluster analysis of the water bodies. Rogers–Tanimoto dissimilarity and single average fusion algorithm were used. Notations: 1 = leaking canals, 2 = new inundated area, 3 = native
Fig. 2 in Dragonfly Assemblages Of A Shallow Lake Type Reservoir (Tisza-Tó, Hungary) And Its Surroundings
Fig. 2. Diversity profiles of the studied water bodies. Notations: = leaking canals, = new inundated area, ¨ = native water bodies, = in- and outflows, = River Tisza
Fig. 1 in Dragonfly Assemblages Of A Shallow Lake Type Reservoir (Tisza-Tó, Hungary) And Its Surroundings
Fig. 1. Species richness of the dragonfly fauna of the water bodies, separately for the two suborders. Notations: 1 = leaking canals, 2 = new inundated area, 3 = native water bodies, 4 = in- and outflows,
Figure 4 in The invasive Ameiurus nebulosus (Lesueur, 1819) as a permanent part of the fish fauna in selected reservoirs in Central Europe: long-term study of three shallow lakes
Figure 4. Relationship between the relative numbers of the brown bullhead and the total relative numbers of fish (data logtransformed) in the lakes studied; a) Głębokie, b) Sumin, c) Rotcze.
Fig. 2 in Temporal variations of larval digenean assemblages parasitizing Heleobia parchappii (Mollusca: Cochliopidae) in two shallow lakes from the Buenos Aires province, Argentina
Fig. 2. Seasonal variation in the Overall prevalence (mean ± S.D) of larval digeneans parasitizing Heleobia parchappii (D'Orbigny, 1835) in Los Padres and La Brava lakes, Buenos Aires province, Argentina.
Fig. 3 in Temporal variations of larval digenean assemblages parasitizing Heleobia parchappii (Mollusca: Cochliopidae) in two shallow lakes from the Buenos Aires province, Argentina
Fig. 3. Seasonal variation in Species richness (mean ± S.D) of larval digeneans parasitizing Heleobia parchappii (D'Orbigny, 1835) in Los Padres and La Brava lakes, Buenos Aires province, Argentina.
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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)
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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.