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301 results for “bloom”
Model output dataset for Ardyna et al. (2022) Wildfire aerosol deposition likely amplified a summertime Arctic phytoplankton bloom
<p>Daily July and August 2014 aerosol optical depth (AODVIS) and nitrogen deposition (NDEP) output from simulations using Community Earth System Model. Data owner: Diana Bernstein (diana.bernstein@usm.edu).</p>
Disease management during bloom affects the floral microbiome but not pollination in a mass-flowering crop
<p>Flowering crops are heavily managed during bloom to both promote pollination and prevent disease. Disease management practices can alter the floral microbiome, including pathogens and non-target microbes. However, whether agrochemical presence or altered microbiome composition affect pollinator foraging and pollination services is unclear.</p> <p>We assessed the effects of orchard management tactics and landscape context on the flower microbiome in almond, <em>Prunus dulcis</em>. Fourteen orchards (5 conventional, 4 organic, 5 conventional with habitat augmentation) were sampled at early and peak bloom to characterize bacterial and fungal communities associated with floral tissues. The surveys were complemented by an artificial flower experiment to assess the effects of fungicides and microbes on honey bee foraging. Finally, a field trial was conducted to test the effects of fungicides and microbes on pollination. </p> <p>As bloom progressed, bacterial and fungal abundance and diversity increased across all floral tissue types and management strategies. The magnitude by which microbial abundance and diversity were affected varied, with proximity to apiaries and orchard management having notable effects on bacteria and fungi, respectively.</p> <p>Experiments revealed that fungicides reduced nectar removal by honey bees; however, neither fungicide nor microbe treatments affected pollination, as measured through pollen tube initiation and growth. </p> <p><strong>Synthesis and applications</strong>: Our results reveal that microbiota associated with flowers of a pollinator-dependent crop are temporally dynamic and sensitive to management practices. However, pollination services in almonds may be resilient to both agrochemical disturbance and microbial augmentation of flowers, the latter of which may become more prominent as microbial solutions to disease management are embraced in agroecosystems.</p>
Harmful Ostreopsis cf. ovata blooms could extend in time span with climate change in the Western Mediterranean Sea
<p>The data and R script provided are related to a study that aimed at simulating the abundance of <em>Ostreopsis cf. ovata</em> in the Western Mediterranean basin, under current and future climate conditions. We obtained <em>O. cf. ovata</em> abundance time series as part of long-term monitoring programs. We then statistically correct physical and biogeochemical reanalysis of the Mediterranean Sea to match in situ environmental conditions to use them as predictors of <em>O cf. ovata </em>cell abundance. Present and future climate simulations are also statistically corrected to fit the distribution of reanalysis. After calibrating and testing our niche model, we used it to identify the main environmental factors that explain <em>O. cf. ovata</em> abundance patterns and, in particular, the occurrence of large blooms in some regions.</p>
Data from: Salinity decline promotes growth and harmful blooms of a toxic alga by diverting carbon flow
<p>Global climate change intensifies the water cycle and makes freshest waters become fresher and vice‑versa. But how this change impacts phytoplankton in coastal, particularly harmful algal blooms (HABs), remains poorly understood. Here, we monitored a coastal bay for a decade and found a significant correlation between salinity decline and the increase of <em>Karenia mikimotoi</em> blooms. To examine the physiological linkage between salinity decreases and <em>K. mikimotoi</em> blooms, we compare chemical, physiological and multi-omic profiles of this species in laboratory cultures under high (33) and low (25) salinities. Under low salinity, photosynthetic efficiency and capacity as well as growth rate and cellular protein content were significantly higher than that under high salinity. More strikingly, the omics data show that low salinity activated the glyoxylate shunt to bypass the decarboxylation reaction in the tricarboxylic acid cycle, hence redirecting carbon from CO<sub>2</sub> release to biosynthesis. Furthermore, the enhanced glyoxylate cycle could promote hydrogen peroxide metabolism, consistent with the detected decrease in reactive oxygen species (ROS). These findings suggest that salinity declines can reprogram metabolism to enhance cell proliferation, thus promoting bloom formation in HAB species like <em>K. mikimotoi</em>, which has important ecological implications for future climate-driven salinity declines in the coastal ocean with respect to HAB outbreaks.</p>
Data from: Nutrient sources, phytoplankton blooms, and hypoxia along the Chinese coast in the East China Sea: Insight from summer 2014
<p>This dataset contains data collected onboard the <em>R/V Ocean Researcher I</em> during the summer of 2014 (August 20–31) East China Sea described in the paper: "C.-C. Chen, W.-C. Chou, and C.-C. Hung (2024). Nutrient sources, phytoplankton blooms, and hypoxia along the Chinese coast in the East China Sea: Insight from summer 2014, Marine Pollution Bulletin (accepted on July 4 2024)".</p>
Figure 5 in Occurrence and temporal variation in the size-frequency distribution of 2 bloom-forming jellyfishes, Catostylus perezi (L. Agassiz, 1862) and Rhizostoma pulmo (Cuvier, 1800), in the Indus Delta along the coast of Sindh, Pakistan
Figure 5. Temporal variation of jellyfish medusae in zooplankton samples.
Figure 3 in Occurrence and temporal variation in the size-frequency distribution of 2 bloom-forming jellyfishes, Catostylus perezi (L. Agassiz, 1862) and Rhizostoma pulmo (Cuvier, 1800), in the Indus Delta along the coast of Sindh, Pakistan
Figure 3. Temporal variation in size distribution in 3 populations of C. perezi.
Figure 1. Map showing 3 in Occurrence and temporal variation in the size-frequency distribution of 2 bloom-forming jellyfishes, Catostylus perezi (L. Agassiz, 1862) and Rhizostoma pulmo (Cuvier, 1800), in the Indus Delta along the coast of Sindh, Pakistan
Figure 1. Map showing 3 sampling sites: Bhanbore, Mirpur Sakro, and Keti Bunder.
Figure 1 in Unusual winter zooplankton bloom in the open southern Adriatic Sea
Figure 1. Map of investigated area with noted stations over 2 investigated transects.
A comprehensive time-series dataset linked to cyanobacterial blooms in Lake Taihu
<p>Lake Taihu has a history of recurrent harmful cyanobacterial blooms under the pressures of climate change and human activities. Despite efforts to limit nutrient loading, there is a need to better understand the water environment of Lake Taihu in order to improve methods for controlling the cyanobacterial blooms. The spatial and temporal characteristics of the water quality, bio-optical parameters, climate, and anthropogenic data of Lake Taihu (THQBCA) could provide comprehensive information regarding cyanobacterial blooms. The THQBCA dataset contains 26 variables organized into four categories: water quality, bio-optics, climate, and anthropogenic data. The dataset spans more than 15 years (8 of which cover approximately 35 years, 4 of which cover 20 years), and the spatial resolutions of the satellite-derived data range from 30 m to 500 m. The THQBCA dataset is expected to advance research on forecasting and early warning of cyanobacterial blooms, and to support science-based management decisions for sustainable ecological development.</p>
Coastal phytoplankton blooms expand and intensify in the 21st century:data and code
<p>This repository contains the relevant dataset and code for the paper <strong>Coastal phytoplankton blooms expand and intensify in the 21st century.</strong></p> <p>We generated a satellite-based dataset of phytoplankton bloom occurrence to characterize the spatial and temporal patterns of algal blooms in coastal oceans globally. The dataset was derived using global, 1-km resolution daily observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Aqua satellite, and all 0.76 million images acquired by this satellite mission between 2003 and 2020 were used. </p> <p>Please refer to the README file in code_examples.rar file for more detailed information.</p>
Dataset on how mesopredator-mediated trophic cascade can break persistent phytoplankton blooms in coastal waters
<p>Managing eutrophied systems using only nutrient decreases to impose bottom-up control can be economically and ecologically challenging. Top-down controls through increased consumption have sometimes effectively controlled phytoplankton blooms. However, mechanistic insights, especially on possible trophic cascades, are less understood in brackish, species-poor coastal waters, where large cladocera are absent. In this study, we set up large mesocosms for three consecutive years during the growing season. One set of mesocosms contained mesopredators (gobies and shrimps), whereas the other mesocosms had no such mesopredator present. The results were standardized to monitoring data from the ecosystem to track possible differences between treatments and the system. We found that mesopredator mesocosms showed lower turbidity, phytoplankton biomass, and nutrients compared to no-mesopredator mesocosms, and compared to the ecosystem. This decrease allowed macrophytes to colonize water depths only sparsely colonized in the ecosystem. Rotifer biomass increased in mesopredator mesocosms compared to the ecosystem and to the no-mesopredator mesocosms. Likewise, copepod biomass that potentially grazes upon rotifers and other microzooplankton decreased in mesopredator mesocosms. No-mesopredator mesocosms were colonized by an omnivorous mesograzer (<em>Gammarus</em> <em>tigrinus</em>), potentially creating additional pressure on macrophytes and increasing grazing-mediated nutrient release. Zooplankton was not able to control the non-nutrient-limited phytoplankton. We propose a new mechanism, where a higher mesopredator density will increase grazing on phytoplankton by promoting microzooplankton capable of grazing on picophytoplankton. This proposed mechanism would contrast with freshwater systems, where a decrease of zooplanktivorous fish would promote larger phytoplankton grazer like cladocerans. Biomanipulation in such species-poor eutrophic coastal waters may be more successful, due to fewer trophic pathways, that can cause complex top-down controls like in other systems. Stocking eutrophic coastal waters with gobies and shrimps may be an alternative biomanipulative approach rather than selectively removing large piscivorous or omnivorous fish from eutrophic coastal waters.</p>
Coccolithophore blooms days detected by MODIS Level-2 data in Algiers bay between 2003 and 2018
<p>The figures illustrated in this document reflect the days where the coccolithophore blooms were detected for episodes shown in Figure 8 in Harid et al., (2023). The methodology used to produce these figures is described in Harid, (2022); Harid et al., (2023).</p> <p> </p> <p>References:</p> <p>Harid, R. (2022). <em>Étude par télédétection et mesures in-situ des efflorescences algales et de la matière en suspension dans le Bassin Algérien</em> [PhD. thesis]. ENSSMAL, Algiers.</p> <p>Harid, R., Demarcq, H., Amanouche, S., Ait-Kaci, M., Bachari, N.-E.-I., & Houma, F. (2023). Detection of Coccolithophore Bloom Episodes in Algiers Bay Using Satellite and In Situ Analysis. In S. Niculescu (Éd.), <em>European Spatial Data for Coastal and Marine Remote Sensing</em> (p. 1‑15). Springer International Publishing. <a href="https://doi.org/10.1007/978-3-031-16213-8_1">https://doi.org/10.1007/978-3-031-16213-8_1</a></p> <p> </p>
Data for: Behavioral differences underlie toxicity and predation variation in blooms of Prymnesium parvum
<p>Much of the evolutionary ecology of toxic algal blooms (TABs) remains unclear, including the role of algal toxins in the adaptive 'strategies' of TAB-forming species. Most eukaryotic TABs are caused by mixotrophs that augment autotrophy with organic nutrient sources, including competing algae (intraguild predation). We leverage the standing diversity of TABs formed by the toxic, invasive mixotroph Prymnesium parvum to identify cell-level behaviors involved in toxin-assisted predation using direct observations as well as comparisons between genetically distinct low- and high-toxicity isolates. Our results suggest that P. parvum toxins are primarily delivered at close range and promote subsequent prey capture/consumption. Surprisingly, we find opposite chemotactic preferences for organic (prey-derived) and inorganic nutrients between differentially toxic isolates, respectively, suggesting behavioral integration of toxicity and phagotrophy. Variation in toxicity may therefore reflect broader phenotypic integration of key traits that ultimately contribute to the remarkable flexibility, diversity, and success of invasive populations.</p>
Algal Blooms Sweden - 2022
<p>Dataset containing images of algal blooms in the Baltic Sea. The data is provided with a metadata description containing time spotted, comments, municipality, county and coordinates of each image. The images and metadata file are archived in a zip package. Images show various summer surface accumulations of so-called harmful algal blooms (HABs) or nuisance blooms. Typically, these blooms consists of species of cyanobacteria of the order of Nostocales, including toxic Nodularia and Aphanizomenon. These blooms were verified by Informationscentralen (<a href="https://www.lansstyrelsen.se/stockholm/miljo-och-vatten/vattnet-i-ostersjon---informationscentralen.html">Länstyrelsen Stockholm</a> and <a href="https://www.lansstyrelsen.se/vasterbotten/miljo-och-vatten/vattnet-i-bottniska-viken---informationscentralen-icbv.html">Länstyrelsen Västerbotten</a>). However, the blooms seen in the images have not been taxonomically annotated by microscopy nor genetic analysis. The following data fields are contained in the metadata files (provided in both json and csv format):</p> <p>report_id: unique identifier for reporting record, <em>type: string</em><br> time_spotted: date that bloom was spotted, <em>type: datetime</em><br> algae_overview_photo: url to overview photo submitted, <em>type: string</em><br> algae_detail_photo: url to detailed photo submitted, <em>type: string</em><br> comments: Any additional information relating to the bloom, <em>type: string</em><br> lat: Latitude of position where bloom was seen, <em>type: float</em><br> long: Longitude of position where bloom was seen, <em>type: float</em><br> place: County where bloom was spotted, <em>type: string</em><br> kommun: Municipality where bloom was spotted, type: string</p> <p><strong>Total observations</strong>: 161<br> <em>Note</em>: Not every observation has an accompanying image and others were verified using other information provided.</p>
Algal Blooms Sweden - 2021
<p>Dataset containing images of algal blooms in the Baltic Sea. The data is provided with a metadata description containing time spotted, comments, municipality, county and coordinates of each image. The images and metadata file are archived in a zip package. Images show various summer surface accumulations of so-called harmful algal blooms (HABs) or nuisance blooms. Typically, these blooms consists of species of cyanobacteria of the order of Nostocales, including toxic Nodularia and Aphanizomenon. These blooms were verified by Informationscentralen (<a href="https://www.lansstyrelsen.se/stockholm/miljo-och-vatten/vattnet-i-ostersjon---informationscentralen.html">Länstyrelsen Stockholm</a> and <a href="https://www.lansstyrelsen.se/vasterbotten/miljo-och-vatten/vattnet-i-bottniska-viken---informationscentralen-icbv.html">Länstyrelsen Västerbotten</a>). However, the blooms seen in the images have not been taxonomically annotated by microscopy nor genetic analysis. The following data fields are contained in the metadata files (provided in both json and csv format):</p> <p>report_id: unique identifier for reporting record, <em>type: string</em><br> time_spotted: date that bloom was spotted, <em>type: datetime</em><br> algae_overview_photo: url to overview photo submitted, <em>type: string</em><br> algae_detail_photo: url to detailed photo submitted, <em>type: string</em><br> comments: Any additional information relating to the bloom, <em>type: string</em><br> lat: Latitude of position where bloom was seen, <em>type: float</em><br> long: Longitude of position where bloom was seen, <em>type: float</em><br> place: County where bloom was spotted, <em>type: string</em><br> kommun: Municipality where bloom was spotted, type: string</p> <p><strong>Total observations</strong>: 251<br> <em>Note</em>: Not every observation has an accompanying image and others were verified using other information provided.</p>
aKmerBroom ancient Bloom filter
<p>Bloom filter built on set of trusted oral k-mers as described in the manuscript "aKmerBroom: Ancient oral DNA decontamination using Bloom filters on k-mer sets"</p> <p>See GitHub repo <a href="https://github.com/CamilaDuitama/aKmerBroom">https://github.com/CamilaDuitama/aKmerBroom</a> for instructions on how to use it </p>
Fig. 2 in Observations on the bloom-forming jellyfish Crambionella stuhlmanni (Chun, 1896) in the St Lucia Estuary, South Africa
Fig. 2. Map of the St Lucia estuarine lake, showing the main basins and stations within the system.
Dissolved storage glycans shaped the community composition of abundant bacterioplankton clades during a North Sea spring phytoplankton bloom
<p>In 2020 we sampled a complete spring bloom in the German Bight over a 90-day period. Bacterioplankton metagenomes from 30 time-points allowed reconstruction of 251 metagenome-assembled genomes (MAGs). Corresponding metatranscriptomes highlighted 50 particularly active MAGs of the most abundant clades. Saccharide measurements together with bacterial polysaccharide utilization loci (PUL) expression data identified β-glucans (diatom laminarin) and α-glucans as the most prominent dissolved polysaccharide substrates metabolized by the bacterioplankton. Here we are depositing all supporting environmental data for the analyzed 2020 Helgoland spring algal bloom. This includes physicochemical data, data on algal abundances and biovolumes, data on copepod and flagellate abundances, data on monosaccharide and antibody-based polysaccharide measurements, and 16S rRNA-based bacterial diversity data. The corresponding metagenome, metatranscriptome and MAG sequence data of this project are available from the European Nucleotide Archive (accession PRJEB52999).</p>
Dataset from publication: Long-term changes in bloom dynamics of Southern and Central Baltic cold-water phytoplankton
<p>This data set contains the output of the numerical ocean model GETM used in the publication "Long-term changes in bloom dynamics of Southern and Central Baltic cold-water phytoplankton"</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)
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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.