Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
31
datasets available to search
ShareScore release 0.7.1
Dataset results
31 results for “aquatic macrophytes”
Biocomplexity at North Temperate Lakes LTER; Whole Lake Manipulations: Aquatic Macrophytes 2001 - 2010
Macrophyte surveys were conducted on Sparkling Lake, Vilas County, Wisconsin in mid-July of the years 2001 to 2004 and 2007 to 2009. Eight sites were chosen that corresponded to trap survey sites for rusty crayfish and represented the range of macrophyte communities in the lake. At each site, we swam a transect perpendicular to shore from 0 to 4 m depths. A tape measure extended from shore to the 4 m depth contour, and buoys were placed at the 1, 2, 3, and 4 m depth contours. Quadrats were placed along each transect at 1 m intervals.We visually estimated the percent cover of each macrophyte species within a 1 meter-squared quadrat. Transect: corresponds to trap survey site number. Quadrat: occur at 1 m intervals starting from shore (0) and going until you reach the 4 m depth contour (highest number). Substrate: substrate within the quadrat categorized as muck, sand, gravel, cobble, logs, leaves, or any combination of these. Abundance: percent cover of each species within the quadrat determined by visual estimation. The percent covers of all species within a quadrat do NOT necessarily add to 100. Depth Interval: depth interval that each quadrat was in. Quadrats between 0 and 1 m deep are in depth interval 1, those between 1 and 2 m deep are in depth interval 2, etc. Number of sites: 8 Sampling Frequency: annually during summer
Aquatic macrophyte, snail, and crayfish abundance and richness data for ten lakes in Vilas County, WI, USA, 1987-2020
Data accompanying the paper Szydlowski et al. "Macrophyte and snail community responses to 30 years of population declines of invasive rusty crayfish (Faxonius rusticus)." Macrophytes and snails were sampled in ten lakes in Vilas County, Wisconsin, USA during summer sampling events in 1987, 2002, 2011, and 2020. Lakes had varying levels of invasion by F. rusticus, which affected measures of macrophytes and snails. Macrophytes were sampled using a point-intercept transect method and snails were sampled using different sampler types which were dependent on substrate. Macrophytes were sampled at 6-14 sites per lake and snails were sampled at 16-31 sites per lake. Crayfish were regularly sampled at either 24 or 36 sites per lake between 1987 and 2020. Overall, this dataset provides abundance and richness data for over 25 species of snails and over 40 species of macrophytes in 10 north temperate lakes.
Metal and nutrient content from submerged aquatic macrophytes collected from Southern Coeur d'Alene Lake, Idaho (USA) in August 2018.
<p>This repository contains data and R scripts used to produce the analyses reported in the manuscript listed below. See the Readme.txt and metadata.csv files for more explanation. The .R file can be used to unbundle the .tar.gz file via the packrat library. The data and script files are contained in the .tar.gz file. </p> <p>Scofield, B.D., Fields, S.F. & Chess, D.W. Aquatic macrophytes show distinct spatial trends in contaminant metal and nutrient concentrations in Coeur d’Alene Lake, USA. <em>Environ Sci Pollut Res</em> (2023). <a href="https://doi.org/10.1007/s11356-023-27211-x">https://doi.org/10.1007/s11356-023-27211-x</a></p>
Dataset from a study of aquatic macrophyte phenology across three sites in the Coeur d'Alene Lake Basin.
This repository includes data on aquatic macrophytes, water temperature, water clarity, and other water quality measures, such as pH, dissolved oxygen, and specific conductance relative to understanding the growth cycle (i.e., phenology) of aquatic plants. The data was generated during a project to study the phenology of macrophytes across the growing season of 2017, in three temperate lakes of the Coeur d’Alene Basin, USA. The project’s aim was to demarcate the timing of initial macrophyte growth, peak biomass, and senescence. The project also sought to compare traditional biomass measures with sonar biovolume (percent water column occupied by vegetation), which is relatively easier to collect. Macrophytes were measured twice per month with biomass collection via rake twirl, sonar biovolume, and species identification. Hourly water temperatures were measured over the course of the growing season at each site in shallow water near the macrophyte collection sites. The hourly water temperature data was used to calculate cumulative growing degree days over the growing season using minimum and maximum growth thresholds for Myriophyllum spicatum. Water temperature was also measured with a multi-parameter sonde at 0.5 meter increments from the water surface to the lake sediment and collected twice per month. Photosynthetically active radiation was measured during these vertical profiles and light extinction was calculated from this data. Water clarity was also measured with a standard black and white 20 centimeter Secchi disk. The data in this repository was originally reported in the following publication: Torso, K., Scofield, B.D. and Chess, D.W., 2020. Variations in aquatic macrophyte phenology across three temperate lakes in the Coeur d’Alene Basin. Aquatic Botany, 162, p.103209. https://doi.org/10.1016/j.aquabot.2020.103209
The percent cover of aquatic macrophytes in China's large lakes during 1980-2017
<p>In this dataset, we provide the percent cover of aquatic macrophytes in China's large lakes during 1980-2017 at yearly time scales based on the remote sensing imagery interpretation.</p> <p>There are five fields in the dataset provided here:</p> <p>1.'LAKE_NAME', which provide the name of lakes.</p> <p>2. 'LON', longitude at the center of each lake.</p> <p>3. 'LAT', latitude at the center of each lake.</p> <p>4. 'YEAR', the resolution of our time series is yearly.</p> <p>5. 'The percent cover of lake macrophytes', which provide the percent cover of lake macrophytes of each lake.</p>
Quantifying the ecological impacts of alien aquatic macrophytes: A global meta‐analysis of effects on fish, macroinvertebrate and macrophyte assemblages
<p>Biological invasions constitute a pervasive and growing threat to the biodiversity and functioning of freshwater ecosystems. Macrophytes are key primary producers and ecosystem engineers in freshwaters, meaning that alien macrophyte invasions have the capacity to alter the structure and function of recipient aquatic ecosystems profoundly. Although prevailing wisdom holds that alien macrophyte invasions tend to compromise freshwater ecosystem structure and function, the ecological impacts of alien macrophyte invasion have not been quantitatively reviewed to date.</p> <p>Here we present a global meta-analysis of 202 cases from 53 research articles, exploring the impacts of alien macrophyte invasion on the abundance and diversity of three ubiquitous and ecologically important focal groups, which together comprise the bulk of non-microbial freshwater biodiversity: resident macrophytes, macroinvertebrates and fish. Our synthesis includes data from all continents except Antarctica and Asia, covering 25 alien macrophyte species, but reveals considerable taxonomic and geographical biases in knowledge.</p> <p>Meta-analysis results reveal that invasion by alien macrophytes has an overall negative impact on taxonomic diversity of the three focal groups, but no consistent effect on abundance. At a finer resolution, we detect a strong negative effect of alien macrophyte invasion on resident macrophyte abundance and diversity, and a significant but smaller positive effect of submerged alien macrophyte invasion on macroinvertebrates. Effects on fish appear inconsistent.</p> <p>Our findings emphasise the importance of context- and taxon-specific ecological research in informing appropriate and proportionate management of alien macrophyte invasions, since alien macrophyte impacts are not consistently negative. We also identify significant geographical and taxonomic limitations in existing studies, quantitative data being lacking for many alien taxa.</p>
Figure 4 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 4. Mean (± SE) count of new shoots for macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 1 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 1. Median degradation score depicting visual biodegradation stages and/or resumption of growth for four different species of macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Bars signify minimum and maximum scores attained. The dashed line highlights a score of 5, which indicates no meaningful deterioration of the plant tissues or resumption of growth has occurred. Scores of 0–4 portray incremental levels of degradation, while noting the presence of sustained viability. Scores of 6–10 denote plant tissue degradation stages that lack viability in relation to the resumption of new growth. See Table 3 for description of the score categories. Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 3 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 3. Mean (± SE) count of new roots for macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 2 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 2. Median degradation score depicting visual biodegradation stages and/or resumption of growth for fragmentary propagules of Hydrocotyle ranunculoides at 21 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen, thirty or sixty minutes (n = 3 per treatment). Bars signify minimum and maximum scores attained. The dashed line highlights a score of 5, whereby no meaningful deterioration of the plant tissues or resumption of growth has occurred. Scores of 0–4 portray incremental levels of degradation, while noting the presence of sustained viability. Scores of 6–10 denote plant tissue degradation stages which lack of viability in relation to the resumption of new growth. See Table 3 for description of the score categories. Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 5 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 5. Mean (± SE) relative growth rate for new shoot growth produced by macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Fig. 4 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 4. Comparison among Bray-Curtis dissimilarity indices of aquatic insect assemblages associated with white ginger lily banks and native vegetation profile in the littoral zone of a tropical reservoir in the Brazilian Savanna (Group 1, white ginger lily; Group 2, invaded forest; Group 3, native macrophyte; Group 4, riparian vegetation).
Fig. 2 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 2. Comparison between ecological variables of aquatic insect assemblages associated with invasive white ginger lily bank and other native vegetation banks in the littoral zone of a tropical reservoir in the Brazilian Savanna (A, abundance; B, richness; C, Simpson diversity; IM, invasive macrophyte; IF, invaded forest; NM, native macrophyte; RV, riparian vegetation).
Fig. 1 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 1. Location and characterization of vegetation profile banks of the Fazzari reservoir in the Brazilian Savanna (Cerrado Biome, Brazil).
Fig. 3 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 3. Analyses of non-metric MDS of aquatic insect assemblages associated with white ginger lilY banks and native vegetation profiles in the littoral zone of a tropical reservoir in the Brazilian Savanna (●, white ginger lilY; ○, invaded forest; ∆, native macrohYte; ▲, riparian vegetation).
Quantifying the ecological impacts of alien aquatic macrophytes: A global meta‐analysis of effects on fish, macroinvertebrate and macrophyte assemblages
Open the record for dataset details and reuse information.
Data and script for analyses from the manuscript titled: Contaminant metal concentrations in three species of aquatic macrophytes from the Coeur d'Alene Lake basin, USA..
<p>These files include R statistical software script, an archived "project" file, and a "ReadMe.rtf" file. See the "ReadMe.rtf" file for further instructions. Also, please see the full article for more detail at: </p> <p>Scofield, B.D., Torso, K., Fields, S.F., & D.W. Chess<em>.</em> Contaminant metal concentrations in three species of aquatic macrophytes from the Coeur d’Alene Lake basin, USA. <em>Environ Monit Assess</em> <strong>193, </strong>683 (2021). <a href="https://doi.org/10.1007/s10661-021-09488-y">https://doi.org/10.1007/s10661-021-09488-y</a> </p>
Computer code for a model describing the emergence of a long transient regular spatial pattern from interaction of competing aquatic macrophytes and a biocontrol agent
Open the record for dataset details and reuse information.
Data from: Warming conditions reduce the impacts of an aquatic invasive macrophyte across a latitudinal gradient
Open the record for dataset details and reuse information.
Data from: Submerged macrophytes affect the temporal variability of aquatic ecosystems
<p>1. Submerged macrophytes are important foundation species that can strongly influence the structure and functioning of aquatic ecosystems, but only little is known about the temporal variation and the timescales of these effects (i.e. from hourly, daily, to monthly).</p> <p>2. Here, we conducted an outdoor experiment in replicated mesocosms (1000 L) where we manipulated the presence and absence of macrophytes to investigate the temporal variability of their ecosystem effects. We measured several parameters (chlorophyll-a, phycocyanin, dissolved organic matter [DOM], and oxygen) with high-resolution sensors (15 min intervals) over several months (94 days from spring to fall), and modelled metabolic rates of each replicate ecosystem in a Bayesian framework. We also implemented a simple model to explore competitive interactions between phytoplankton and macrophytes as a driver of variability in chlorophyll-a.</p> <p>3. Over the entire experiment, macrophytes had a positive effect on mean DOM concentration, a negative effect on phytoplankton biomass, and either a weak or no effect on mean metabolic rates, DOM composition, and conductivity. We also found that macrophytes increased the variance of DOC composition and metabolic rates, and, at some times of the observed period, increased the variance of phytoplankton biomass and conductivity. The observation that macrophytes decreased the mean but increased the variance of phytoplankton biomass was consistent with the model that we implemented.</p> <p>4. Our high-resolution time series embedded within a manipulative experiment reveal how a foundation species can affect ecosystem properties and processes that have characteristically different timescales of response to environmental variation. Specifically, our results show how macrophytes can affect short-term dynamics of algal biomass, while also affecting the seasonal buildup of DOM and the variance of ecosystem metabolism.</p>
ScienceDex guides
Understand access before you commit
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.