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60 results for “Algal bloom”
Data and code for Causality analysis and prediction of riverine algal blooms by combining empirical dynamic modeling and machine learning techniques
<p>Hydrological data (including daily water levels, flow velocities, and streamflow discharges) from two hydrological stations, the Hankou Station in the Yangtze River (YR) and the Hanchuan Station in the Han River (HR), were obtained from Hubei Province Hydrology and Water Resources Center.</p> <p>Water quality data (i.e., total nitrogen (TOTN), total phosphorus (TOTP), and water temperature in the Han River) and algae densities at three sections (Baihezui, Qinduankou and Zongguan) were acquired from the Yangtze River Basin Ecological and Environmental Supervision Authority. </p> <p><span>The R script(s) for machine learning models can also be found at <a href="../api/records/10901736/draft/files/Code%20for%20machine%20learning%20classification%20model.R/content" target="_blank" rel="noopener noreferrer">Code for machine learning classification model.R</a>.</span></p> <p> </p>
Climate-induced interannual variability and projected change of two harmful algal bloom taxa in Chesapeake Bay, USA
<p>This dataset include the input files for the hindcast simulation of ROMS-RCA in Chesapeake Bay during 2002-2011.</p> <p>ROMS (Regional Ocean Modeling System) model used in this study is version 3.4.</p> <p>RCA (Row-Column AESOP) water quality model used in this study is improved by UMCES, coupling with ROMS output.</p>
Data from: Genome-wide investigation of adaptation to harmful algal blooms in common bottlenose dolphins (Tursiops truncatus)
Harmful algal blooms (HABs), which can be lethal in marine species and cause illness in humans, are increasing worldwide. In the Gulf of Mexico, HABs of Karenia brevis produce neurotoxic brevetoxins that cause large-scale marine mortality events. The long history of such blooms, combined with the potentially severe effects of exposure, may have produced a strong selective pressure for evolved resistance. Advances in next-generation sequencing, in particular genotyping-by-sequencing, greatly enable the genomic study of such adaptation in natural populations. We used restriction site-associated DNA (RAD) sequencing to investigate brevetoxicosis resistance in common bottlenose dolphins (Tursiops truncatus). To improve our understanding of the epidemiology and aetiology of brevetoxicosis and the potential for evolved resistance in an upper trophic level predator, we sequenced pools of genomic DNA from dolphins sampled from both coastal and estuarine populations in Florida and during multiple HAB-associated mortality events. We sequenced 129 594 RAD loci and analysed 7431 single nucleotide polymorphisms (SNPs). The allele frequencies of many of these polymorphic loci differed significantly between live and dead dolphins. Some loci associated with survival showed patterns suggesting a common genetic-based mechanism of resistance to brevetoxins in bottlenose dolphins along the Gulf coast of Florida, but others suggested regionally specific mechanisms of resistance or reflected differences among HABs. We identified candidate genes that may be the evolutionary target for brevetoxin resistance by searching the dolphin genome for genes adjacent to survival-associated SNPs.
Data from: Fish sound production in the presence of harmful algal blooms in the eastern Gulf of Mexico
This paper presents the first known research to examine sound production by fishes during harmful algal blooms (HABs). Most fish sound production is species-specific and repetitive, enabling passive acoustic monitoring to identify the distribution and behavior of soniferous species. Autonomous gliders that collect passive acoustic data and environmental data concurrently can be used to establish the oceanographic conditions surrounding sound-producing organisms. Three passive acoustic glider missions were conducted off west-central Florida in October 2011, and September and October 2012. The deployment period for two missions was dictated by the presence of red tide events with the glider path specifically set to encounter toxic Karenia brevis blooms (a.k.a red tides). Oceanographic conditions measured by the glider were significantly correlated to the variation in sounds from six known or suspected species of fish across the three missions with depth consistently being the most significant factor. At the time and space scales of this study, there was no detectable effect of red tide on sound production. Sounds were still recorded within red tide-affected waters from species with overlapping depth ranges. These results suggest that the fishes studied here did not alter their sound production nor migrate out of red tide-affected areas. Although these results are preliminary because of the limited measurements, the data and methods presented here provide a proof of principle and could serve as protocol for future studies on the effects of algal blooms on the behavior of soniferous fishes. To fully capture the effects of episodic events, we suggest that stationary or vertically profiling acoustic recorders and environmental sampling be used as a complement to glider measurements.
Dataset of Usability and Acceptance of Alboom: A Crowd-Based Early Warning System for Harmful Algal Blooms
<p>Alboom is a crowd-based smartphone application and database system to record, store, analyze, share, and provide early warning information regarding harmful algal blooms (HABs). Similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to the success of the application implementation. The dataset is the investigation results of usability and acceptance of Alboom. The questionnaires were built using an augmented technology acceptance model (TAM) to identify factors that affect the continual use intention of the application. In addition to the native TAM variables, such as perceived ease of use and usefulness as well as attitude, other factors, including HAB awareness, social influence, and reward, were also studied. Furthermore, the usability factor was also examined, specifically using the System Usability Scale (SUS) approach.</p>
Data from: Fish sound production in the presence of harmful algal blooms in the eastern Gulf of Mexico
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Data from: Genome-wide investigation of adaptation to harmful algal blooms in common bottlenose dolphins (Tursiops truncatus)
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Data from: Evidence for parasite-mediated selection during short-lasting toxic algal blooms
Parasites play a role in the control of transient algal blooms, but it is not known whether parasite-mediated selection results in coevolution of the host and the parasites over this short time span. We investigated the presence of coevolution between the toxic dinoflagellate Alexandrium minutum and two naturally occurring endoparasites during blooms lasting a month in two river estuaries, using cross-inoculation experiments across time and space. Higher parasite abundance was associated with a large daily reduction in relative A. minutum abundances, demonstrating strong parasite-mediated selection. There was genetic variability in infectivity in both parasite species, and in resistance in the host. We found no evidence for coevolution in one estuary; however, in the other estuary, we found high genetic diversity in the two parasite species, fluctuations in infectivity and suggestion that the two parasites are well adapted to their host, as in 'Red Queen' dynamics. Thus, coevolution is possible over the short time span of a bloom, but geographically variable, and may feedback on community dynamics.
Figure 10 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 10. Features of various stages of intense cyanobacteria bloom in the South Caspian in September 2008 in Aqua MODIS true color images of: September 18 (a); September 27 (b).
Figure 5 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 5. Monthly average values of Chl-a concentration in the coastal and open sea areas of the Middle and South Caspian, determined from Aqua MODIS data for 2022.
Figure 1 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 1. Map of the Caspian Sea with isobaths in meters. Blue lines show the boundaries between the North, Middle and South Caspian. Red rectangle marks the area of in situ fieldwork.
Historic and recent trends of cyanobacterial harmful algal blooms and environmental conditions in Clear Lake, California: a 70-year perspective
<p><span>Clear Lake is the largest, natural lake in northern California, USA with many beneficial uses but also substantive environmental issues. The lake has a long history of water quality problems including mercury contamination, pesticide usage, invasive species, and high rates of primary production. In recent years, an increase in cyanobacterial harmful algal blooms (cyanoHABs) have been documented in the lake, adding to the environmental issues faced by aquatic species present in the lake, and the local community. Extensive observations of various physical, chemical, and biological parameters in Clear Lake began in the mid-1900s. The most pertinent of these datasets and findings have been reviewed and analyzed with the intent of improving our understanding of the causes and drivers of cyanoHABs, toxin production, and identifying data gaps. The findings are published in Smith et al. (2023) at DOI: </span><a href="https://doi.org/10.1525/elementa.2022.00115"><span>https://doi.org/10.1525/elementa.2022.00115</span></a><span> </span><span>Funding for this work, including data acquisition, database assembly and manuscript preparation was provided by the Big Valley Band of Pomo Indians Environmental Protection Agency and the Elem Indian Colony Environmental Protection Agency.</span></p> <p><span>The dataset assembled as a part of Smith et al. (2023) is posted here. It is the master database of 50 lake and climatological parameters (~217,000 individual data points) from the period of 1920 to mid-2020 of environmental parameters within and surrounding the lake. This database and analysis builds upon the efforts of the Big Valley Band of Pomo Indians Environmental Protection Agency to identify the Clear Lake monitoring entities and assemble the available water quality data. More information about this effort, as well as data visualizations can be found here: </span><a href="https://www.bvrancheria.com/water-quality-dashboard"><span>https://www.bvrancheria.com/water-quality-dashboard</span></a><span> </span></p> <p><span>In 2014, two Tribal Nations, the Big Valley Band of Pomo Indians, and the Elem Indian Colony, developed the Clear Lake Cyanobacteria Monitoring Program (</span><a href="https://www.bvrancheria.com/clearlakecyanotoxins"><span>https://www.bvrancheria.com/clearlakecyanotoxins</span></a><span>) which includes water quality parameters along with cyanobacterial-specific parameters such as cyanotoxins, phycocyanin, and cyanobacterial genera identifications via microscopy. The vast majority of available cyanotoxin data, which are presented in this database, resulted from these efforts.</span></p> <p><span>Basic climatological and hydrologic data have been collected near and around Clear Lake as early as the 1910s by the U.S. Geological Survey (USGS) and National Oceanic and Atmospheric Administration (NOAA). Multiple agencies have conducted both routine and intermittent monitoring of chemical and physical parameters on Clear Lake since the 1950s, although routine and consistent collection of biological monitoring data began more recently within the last two decades. The California Department of Water Resources, the California State Water Resource Control Board, and Lake County Vector Control District have monitored several water quality parameters beginning in the 1950s. </span></p>
Data from: Evidence for parasite-mediated selection during short-lasting toxic algal blooms
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Visualizing active viral infection reveals diverse cell fates in synchronized algal bloom demise
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Analysis and data for "No evidence of widespread algal bloom intensification in hundreds of lakes"
<p>Analysis code (written for R) and data used for Wilkinson et al. "No evidence of widespread algal bloom intensification in hundreds of lakes" in Frontiers in Ecology and the Environment</p>
Harmful Algal Blooms
ClinicalTrials.gov study NCT07091058. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Investigating Health Impacts of Exposure to Harmful Algal Blooms
ClinicalTrials.gov study NCT06883227. IPD Sharing: NO. Countries: 1. Publications: 0.
Ecology and Oceanography of Harmful Algal Blooms (ECOHAB)
ECOHAB is a peer-reviewed, national, competitive program that funds regional-scale and targeted studies. Regional ecosystem investigations of the causes and impacts of HABs leading to development of model-based operational ecological forecasting capabilities in areas with severe, recurrent blooms are a high priority.
Harmful Algal Blooms (HABs) measurements from multiple sites in 2006
Measurements of Harmful Algal Blooms (HABs) in the Gulf of Mexico, Chesapeake Bay, and Great Lake regions during 2006.
Harmful algal bloom toxin microcystin-LR interferes with PP1-mediated PI3K/AKT/FOXO1 signaling in granulosa cells to disrupt ovarian follicle maturation and ovulation
GEO Series GSE201806. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
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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.