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.
22
datasets available to search
ShareScore release 0.9.0
Dataset results
22 results for “Cyanotoxin”
Nutrient amendment effects on phytoplankton, water chemistry, and cyanotoxins in the 2018 Large-Scale Mesocosm Experiment at the University of Kansas Field Station
This dataset includes water physicochemical parameters, phytoplankton community composition, and cyanobacteria metabolites collected during a 21-day nutrient amendment experiment conducted from 23 July to 13 August 2018 at the University of Kansas Biological Station, Lawrence, KS, United States (39.049674°N, 95.190777°W). The experiment was performed using 18 large-scale, closed-bottom fiberglass tanks (volume: 11,000 L; height: 1.25 m; diameter: 3 m). Three tanks served as ambient controls (CON), while the others received one of the following nutrient treatments: nitrogen only (280 µM) as either ammonium chloride (NH4) or sodium nitrate (NO3); nitrogen (280 µM) plus phosphorus (200 µM) as either ammonium chloride + dipotassium phosphate (NHP) or sodium nitrate + dipotassium phosphate (NOP); and phosphorus only (200 µM) as dipotassium phosphate (P). Each tank received an initial nutrient dose on Day 0.5, followed by weekly additions of 20% of the initial amendment to maintain treatment conditions. All data were quality controlled to correct basic errors and to remove measurements outside the manufacturer’s standard operational ranges.
Cyanobacteria abundance, cyanotoxin concentration, and water quality data for the upper San Francisco Estuary, California, USA: 2014-2019
The goal of these measurements was to quantify Microcystis abundance and microcystin concentration and associated water quality conditions during summer blooms in the upper San Francisco Estuary in California, USA. Blooms of harmful algae are a major ecological concern in the area because harmful algae produce toxins and other metabolites, which deteriorate water quality and negatively impact the aquatic ecosystem. Our research team collected biological, physical, and chemical data at 2-week to 4-week intervals during the summer and fall from 2014 through 2019. Data included surface measurements of Microcystis volume (area-based diameter) by microscopy (flowCAM digital imaging flow cytometry) and subsurface (1 m depth) measurements of Microcystis, Aphanizomenon and Dolichospermum cell abundance measured by quantitative PCR, cyanotoxin concentration (total microcystins, anatoxin a and saxitoxin) measured by protein phosphatase inhibition assay or enzyme linked immunosorbent assay, and a suite of water quality parameters (water temperature, dissolved oxygen, nutrient concentration, water transparency, specific conductance, turbidity, pH, and chlorophyll a concentration). Details for the field sampling and analytical methods are available in Lehman et al. (2017). We also performed shotgun metagenomic analyses to investigate biodiversity of cyanobacteria and other aquatic microorganisms and all the DNA sequencing data are publicity available (www.ncbi.nlm.nih. gov/; BioProject ID: PRJNA434758, Kurobe et al. 2018, Lehman et al. 2021). During the study, we experienced critically dry (2014 and 2015), below normal (2016 and 2018), and wet years (2017 and 2019), therefore data obtained in this study provided a unique opportunity to assess impacts of extreme conditions on the aquatic ecosystem (Kurobe et al. 2018, Lehman et al. 2020).
Interactive map of distribution of gene fragments indicative of cyanotoxin biosynthesis and cyanotoxins in the European Alps
<p><span>Distribution of cyanotoxins and cyanotoxin biosynthesis genes in Alpine region determined by LC-MS/MS and (q)PCR. Cyanotoxins and cyanotoxin genes are mapped on separate layers, and two basemaps are available (simple and relief). Results can be filtered by location, sample type, water body type, cyanotoxins and cyanotoxin genes. Note that cyanotoxin analyses were not performed on all sampling points.</span></p>
Concentrations of cyanotoxins in fresh water and fish
This dataset accompanies the publication Flores, N.M., T.R. Miller, and J.D. Stockwell. Accepted. A global analysis of the relationship between cyanotoxins in water and fish. Frontiers in Marine Science. doi: 10.3389/fmars.2018.00030 Cyanobacteria, the primary bloom-forming organisms in fresh water, elicit a spectrum of problems in lentic systems. The most immediate concern for people and animals are cyanobacterial toxins, which have been detected at variable concentrations in water and fish around the world. Cyanotoxins can transfer through food webs, potentially increasing the risk of exposure to people who eat fish from affected waters, yet little is known about how cyanotoxins fluctuate in wild fish tissues. We collated existing studies on cyanotoxins in fish and fresh water from lakes around the world into a global dataset to test the hypothesis that cyanotoxin concentrations in fish increase with water toxin concentrations. We limited our quantitative analysis to microcystins because data on other cyanotoxins in fish were sparse, but we provided a qualitative summary of other cyanotoxins reported in wild, freshwater fish tissues. We found a positive relationship between intracellular microcystin in water samples and microcystin in fish tissues that had been analyzed by assay methods (enzyme-linked immunosorbent assay and protein phosphatase inhibition assay). We expected microcystin to be found in increasingly higher concentrations from carnivorous to omnivorous to planktivorous fishes. We found, however, that omnivores generally had the highest tissue microcystin concentrations. Additionally, we found contrasting results for the level of microcystin in different tissue types depending on the toxin analysis method. Because microcystin and other cyanotoxins have the potential to impact public health, our results underline the current need for comprehensive and uniform detection methods for the analysis of cyanotoxins in complex matrices.
FIG. 2 in A critical review of cyanobacteria distribution and cyanotoxins occurrence in Atlantic Ocean islands
FIG. 2. — Cyanobacteria taxa distribution in Atlantic Ocean islands: A, total number of taxa by islands and number of publications reporting cyanobacteria; B, number of taxa by habitat on each island. Islands are arranged by decreasing absolute latitude. (For island codes correspondence see Table 1).
FIG. 1 in A critical review of cyanobacteria distribution and cyanotoxins occurrence in Atlantic Ocean islands
FIG. 1. — Map of the Atlantic Ocean with the location of islands with cyanobacteria references. A, Cuba and Bahamas; B, Puerto Rico, United States Virgin Islands, and Curaçau; C, Brazilian coastal islands - Ilha das Couves, Ilha Rapada, Ilha Anchieta, Ilha da Vitória and Ilha Bella; D, Brazilian coastal islands - Ilha do Cardoso and Ilha da Casca; E, Iceland; F, Azores; G, Madeira and Canary Islands; H, Cape Verde. Map sources and copyrights: Esri, HERE, DigitalGlobe, Garmin, GeoEye, Earthstar Geographics, FAO, NOAA, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, © OpenStreetMap contributors and the GIS User Community.
FIG. 4 in A critical review of cyanobacteria distribution and cyanotoxins occurrence in Atlantic Ocean islands
FIG. 4. — Percentage of common and unique cyanobacteria species by islands grouped according to their annual mean air temperature."<10°C": Iceland;"10-20°C": Azores, Madeira, Canary Islands, and Brazilian coastal islands; ">20°C": Bahamas, Cuba, Puerto Rico, United States Virgin Islands, Cape Verde, and Curaçau.
The European Multi Lake Survey (EMLS) dataset of physical, chemical, algal pigments and cyanotoxin parameters 2015.
The European Multi Lake Survey took place in summer 2015. It was a grassroots initiative comprised 197 scientists from 26 European countries. The EMLS was a snapshot sampling effort where 369 lakes were sampled only once for various physical (e.g. temperature), chemical (total nutrients) and biological parameters (algal pigments and toxins). The sampling period for each region was defined as the locally two-week warmest period based on 10-year air temperature data. The initial purpose was to define how nutrients and temperature would interact to explain variance in algal or cyanobacterial blooms on a continental scale using a space for time substitution approach (spatial rather than temporal resolution of lake parameters). Several other scientific questions addressing what controls toxin distribution on a continental scale, or dealing with cross comparisons between algal numerical methods (microscopy vs pigments vs flowcytometry) are in preparation. Publishing this dataset will allow scientific access to a unique sampling effort over the European peninsula that can generate new research ideas.
Seasonality of cyanobacteria and eukaryotes in Lake Geneva and the impacts of cyanotoxins on growth of the model ciliate Tetrahymena pyriformis
<p><span>Toxic cyanobacteria are likely to be favored by global warming and other human impacts, posing significant threats to aquatic ecosystems. While cyanobacterial blooms in eutrophic lakes are widely investigated, the dynamics of cyanobacteria and the effects of their toxins and bioactive metabolites on the plankton communities in mesotrophic and oligotrophic lakes are less well understood. Here we investigated seasonal dynamics of cyanobacteria, eukaryotic algae and cyanotoxins in oligo-mesotrophic Lake Geneva—the largest and deepest lake in western Europe. High-throughput sequencing of the 16S rRNA genes in 143 samples along a water column revealed that Lake Geneva hosts diverse, co-dominant cyanobacterial genera, including <em>Planktothrix</em>, <em>Cyanobium</em>, <em>Pseudanabaena</em>, and <em>Aphanizomenon. </em>The abundance of the <em>mcyA</em> gene marker for microcystin production was highly correlated with total cyanobacteria abundance, obtained from qPCR of the 16S rRNA genes. Targeted LC-HRMS/MS analysis demonstrated peak concentrations of cyanotoxins in September and December 2021 at the deep chlorophyll-a maximum layer, reaching up to 1474 ng/l for anabaenopeptins and 144 ng/l for microcystins. The toxin peaks did not correlate with the abundance or variations in the cyanobacteria or eukaryote community, but they were correlated in time with seasonal lows in the abundances of ciliates (18S rRNA analysis). Laboratory exposure tests demonstrated that growth of the model ciliate <em>Tetrahymena pyriformis </em>was inhibited by Microcystin-RR and Anabaenopeptin A at environmentally relevant concentrations in the ng/l-range, in natural lake water, </span><span>synthetic freshwater, and growth media spiked with the cyanotoxins. Our findings suggest that even low concentrations (in the ng/l-range) of microcystins and anabaenopeptins, reduce growth of ciliates such as <em>T. pyriformis</em> and can be expected to have wider impacts on the eukaryote communities. </span></p>
FIG. 3 in A critical review of cyanobacteria distribution and cyanotoxins occurrence in Atlantic Ocean islands
FIG. 3. — Percentage of total common and unique cyanobacteria species between three habitat groups.
FIG. 5 in A critical review of cyanobacteria distribution and cyanotoxins occurrence in Atlantic Ocean islands
FIG. 5. — Environmental conditions contributing to the occurrence of cHABs in insular ecosystems.
Data and analysis process for Microbiome processing of organic nitrogen input supports growth and cyanotoxin production of Microcystis aeruginosa cultures
<p>Data and analysis process for manuscript titled "Microbiome processing of organic nitrogen input supports the growth and cyanotoxin production of Microcystis aeruginosa cultures"</p>
Meta-analysis data for Microcystin as a Biogeochemical Cycle: pools, fluxes, and fates of the cyanotoxin in inland waters
We constructed a conceptual biogeochemical model for microcystin through a comprehensive literature synthesis, identifying four major pools and nine major fluxes in lakes that also connect to the terrestrial environment. We also performed a literature synthesis, collating measurements of various pools and fluxes of microcystin in inland waters from the literature. A subset of those values were used in an analysis of microcystin detection for field surveys of waterbodies and a random effects model to estimate the mean and 95% confidence interval for various microcystin pools and fluxes in lakes.
Figure 2 from: Ilieva V, Kondeva-Burdina M, Georgieva T (2020) In vitro analysis of the activity of human monoamine oxidase type B (hMAOB), treated with the cyanotoxin anatoxin-a: supposed factor of neurodegenerative diseases. Pharmacia 67(2): 111-114. https://doi.org/10.3897/pharmacia.67.e50806
Figure 2 Results from hMAOB activity, treated with anatoxin-a. * P < 0.05; ** P < 0.01; *** P < 0.001 vs control (pure hMAOB).
Figure 1 from: Ilieva V, Kondeva-Burdina M, Georgieva T (2020) In vitro analysis of the activity of human monoamine oxidase type B (hMAOB), treated with the cyanotoxin anatoxin-a: supposed factor of neurodegenerative diseases. Pharmacia 67(2): 111-114. https://doi.org/10.3897/pharmacia.67.e50806
Figure 1 Preparation of the final fluorescent product resorfin (Held 2003).
Figure 7 from: Ilieva V, Kondeva-Burdina M, Georgieva T, Pavlova V (2019) Toxicity of cyanobacteria. Organotropy of cyanotoxins and toxicodynamics of cyanotoxins by species. Pharmacia 66(3): 91-97. https://doi.org/10.3897/pharmacia.66.e37035
Figure 7 BMAA structure.
Figure 5 from: Ilieva V, Kondeva-Burdina M, Georgieva T, Pavlova V (2019) Toxicity of cyanobacteria. Organotropy of cyanotoxins and toxicodynamics of cyanotoxins by species. Pharmacia 66(3): 91-97. https://doi.org/10.3897/pharmacia.66.e37035
Figure 5 Structure of Cylindrospermopsin.
Figure 3 from: Ilieva V, Kondeva-Burdina M, Georgieva T, Pavlova V (2019) Toxicity of cyanobacteria. Organotropy of cyanotoxins and toxicodynamics of cyanotoxins by species. Pharmacia 66(3): 91-97. https://doi.org/10.3897/pharmacia.66.e37035
Figure 3 Structure of anatoxin-a.
Figure 2 from: Ilieva V, Kondeva-Burdina M, Georgieva T, Pavlova V (2019) Toxicity of cyanobacteria. Organotropy of cyanotoxins and toxicodynamics of cyanotoxins by species. Pharmacia 66(3): 91-97. https://doi.org/10.3897/pharmacia.66.e37035
Figure 2 Structure of Nodularin- R.
Figure 6 from: Ilieva V, Kondeva-Burdina M, Georgieva T, Pavlova V (2019) Toxicity of cyanobacteria. Organotropy of cyanotoxins and toxicodynamics of cyanotoxins by species. Pharmacia 66(3): 91-97. https://doi.org/10.3897/pharmacia.66.e37035
Figure 6 Structure of Saxitoxins.
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.