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60 results for “Algal bloom”
Harmful algal bloom and aquatic weeds data from the Sacramento-San Joaquin Delta, collected to evaluate the impact of the 2021 Temporary Urgency Change Order and Emergency Drought Barrier
Condition 8 of the June 2021 Temporary Urgency Change Order for the Central Valley Project (CVP) and State Water Project (SWP) requires a special study of harmful algal blooms (HABs) in the Sacramento–San Joaquin Delta (Delta) and the spread of submersed aquatic vegetation (SAV), and floating aquatic vegetation (FAV), also referred to as “aquatic weeds”. A report on the study was submitted to the State Water Resources Control Board on June 1, 2022. This data package contains all publicly available data used in the report, including visual cyanobacteria reports, cyanotoxin data, water quality, nutrients, flow/hydrodynamics, chlorophyll-a concentrations, temperature, coverage of SAV and FAV, use of herbicides, and human populations. Many of these data were derived from other datasets, though some were collected specifically for this study
Ground-truthing of satellite imagery to track harmful algal blooms in Pigeon Lake, Alberta, Canada 2017-2022
This data was collected to create a calibrated model that would enable the use of satellite imagery to track harmful algal blooms by using chlorophyll a estimates as a proxy for cyanobacteria in the lake. Samples from Pigeon Lake were collected on the same day that the Sentinel-2 satellite would pass over the lake. These samples were analyzed for different algal pigments and enumerated to genus level to ensure that the satellite imagery was of cyanobacteria rather than different algal groups. An algorithm was developed which we termed the three band index (TBI) that best matched with the cholorophyll a from the in situ samples. This model was used on satellite imagery from 2017-2022 of Pigeon Lake to get chlorophyll a estimates for every 20 x 20 pixel of each image of the lake. This pixel data was used to determine different bloom metrics like the intensity, the area (extent) and severity.
Nutrient Inputs in Mesocosms of an Oligotrophic Lake Fail to Sustain an Algal Bloom, Lake George, NY, 2019
Harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, and their frequency in oligotrophic lakes—previously thought resistant to such blooms due to their low nutrient levels—has been increasing. This challenges the traditional view that nutrient loading, a major driver of HABs, is less relevant in low-nutrient systems. To investigate whether nutrient enrichment plays a role in HAB development in oligotrophic lakes, we used in-lake mesocosms to assess the effects of varying nitrogen and phosphorus levels on pelagic communities over a 4-week period. The experiment utilized 20 mesocosms (~2,000 L each), with varying phosphorus (P) and nitrogen (N) concentrations, all maintaining a 30:1 N:P ratio, representing ten distinct nutrient levels (235:8 µg/L [control], 600:20 µg/L, 1200:40 µg/L, 1800:60 µg/L, 2400:80 µg/L, 3000:100 µg/L, 3600:120 µg/L, 4200:140 µg/L, 4800:160 µg/L, and 5400:180 µg/L). Nutrients were added twice a week (Tuesdays and Fridays) to sustain the concentrations, with two replicates for each of the ten treatments, totaling 20 experimental units. Water samples were collected to assess water chemistry at two points during the experiment (days 12 and 26). The water chemistry variables measured included total phosphorus (TP), total dissolved phosphorus (TDP), dissolved reactive phosphorus (DRP), total nitrogen (TN), nitrate, nitrite, ammonium, and chlorophyll a. Phytoplankton abundance and abiotic conditions (dissolved oxygen, temperature, pH, and turbidity) were monitored on days 5, 7, 10, 13, 17, 19, 21. Grab samples were also collected on day 12 and 26 to identify phytoplankton species/abundance and zooplankton abundance. In this experiment, nutrient additions enhanced the fluorescence of chlorophyll a (indicative of total phytoplankton) and phycocyanin (a proxy for cyanobacteria), these increases plateaued at low nutrient levels and were transient. Phytoplankton species identification and enumeration revealed no significant changes
Harmful Algal Bloom Monitoring in the Southern Sacramento-San Joaquin Delta
The Department of Water Resources (DWR) North Central Region Office (NCRO) Water Quality Evaluation Section (WQES) and the Division of Operations and Maintenance (O&M) provide technical expertise and program support for regulatory compliance, water operations, emergency response, and environmental restoration. Harmful Algal Blooms (HABs) are large overgrowths of algae in eutrophic marine or freshwater ecosystems that degrade beneficial uses of water resources, from aesthetics to habitat quality to human consumption. The Sacramento-San Joaquin Delta has observed an increasing number of HABs, especially in the South Delta. These HABs have been composed primarily of cyanobacteria, or blue-green algae (BGA). The most prevalent HAB producing cyanobacteria in recent years is the freshwater species Microcystis aeruginosa - a known producer of toxins called microcystins. Microcystins negatively affect the health of aquatic and terrestrial organisms alike, including humans and their pets. In late 2017, the Central Valley Water Resources Control Board (CVWRCB) issues a Section 401 Water Quality Certification for the DWR South Delta Temporary Barriers Projects. This certification required DWR to develop a dataset of surface Microcystis Visual Index (MVI) values during standard water quality station visits. In addition to the MVI, requirements for DWR to collect water samples for phytoplankton enumeration and cyanotoxin analysis began in 2019 and 2022, respectively. Together these data help DWR and CVWRCB to understand the distribution and composition of the algal community in the South Delta and to evaluate the species that contribute to HABs. As a separate project, DWR O&M collects cyanotoxin and taste and odor samples at Clifton Court Forebay and the Harvey O. Banks Pumping Plant to ensure that the water exported from the Delta is safe for use. This dataset provides an ongoing collection of taste and odor and cyanotoxin analysis beginning in 2009 and 2012, respectively.
Harmful algal bloom monitoring data near Frenchman Bay from 2004-2022
The Community Environmental Health Lab at the MDI Biological Laboratories has monitored phytoplankton and water quality in Frenchman Bay for the past few decades. Our goal was to understand how climate change and local changes in anthropogenic activity, including cruise ship activity, have altered the water quality and phytoplankton dynamics in the bay. This data provides information on target harmful algae bloom species as well as a few measures of phytoplankton biodiversity. Our data were collected by a variety of field technicians and citizen scientists who perform weekly sampling throughout the year at Bar Harbor town pier and during the summer months at the MDIBL pier and cruise ship anchorages.
California Harmful Algal Bloom Monitoring and Alert Program Data (Darwin Core Archive format)
The Harmful Algal Bloom Monitoring and Alert Program (HABMAP) was formed in 2008 and provides updates on current algal blooms and facilitates information exchange among scientists, federal and state managers, and the general public in California. A major component of this program is regional HAB monitoring with support from the Southern California Coastal Ocean Observing System (SCCOOS) and the Central and Northern California Ocean Observing System (CeNCOOS). Water samples and net tows are collected once per week at piers to monitor for HAB species, the neurotoxin domoic acid, and water quality data including temperature, chlorophyll-a, and nutrients. The sampling stations represented in this dataset include Santa Cruz Wharf, Monterey Wharf, Cal Poly Pier, Stearns Wharf, Santa Monica Pier, Newport Beach Pier, and Scripps Pier. These data are consolidated and reformatted into Darwin Core Archive (DwC-A) format from the level 1 site-specific datasets hosted on the SCCOOS ERDDAP server: (https://erddap.sccoos.org/erddap/tabledap/index.html?page=1).
Harmful Algal Bloom Reports for 405 lakes in New York State (USA), with antecedent weather conditions and trophic status for each lake.
Cyanobacterial harmful algal blooms (cyanoHABs) are often associated with warm water temperatures and low wind speeds, but quantifying thresholds in meteorological conditions is challenging. In an attempt to better quantify antecedent weather conditions associated with cyanoHABs, we assembled a dataset to include cyanoHAB reports from individual lakes, as well as air temperature and wind speed data on the day of, and 5 days preceding each cyanoHAB report. CyanoHAB reports were provided by the New York State Department of Environmental Conservation (NYSDEC) for 405 lakes for an 11 year period spanning 2012-2023. We used 4km gridded surface meteorological data to calculate antecedent weather conditions leading up to each report. The resulting dataset includes 4,208 cyanoHAB reports from lakes of varying trophic states in New York State (USA). We calculated anomalies in daily wind speed and air temperature for each report and the five days preceding it. The dataset is formatted as a wide table, with individual cyanoHAB reports listed by row. Each row provides report-specific data to include the date, site, trophic state of the lake, and the cyanoHAB report status. Each row contains weather data specific to the date and location of each report, with weather variables calculated from the closest grid point for each lake site. We provide 36 columns containing weather variables for each report to include air temperature and wind speed for the day of the HAB as well as the 5 days preceding it. We also provide a 24-year mean value for the day of the year (DoY), as well as the calculated difference between the day in question and the 24-year mean for the DoY.
oceandatafactory_algal_blooms_Sweden_20201018
<p>Dataset containing images of algal blooms in Swedish waters, mainly the Baltic Sea. The data is provided with a metadata description containing date, location 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 Cyanobacteria in the order of Nostocales, including toxic Nodularia and non-toxic Aphanizomenon. The blooms seen in the images have however not been taxonomically annotated by microscopy analysis.</p>
Data and Code for "Quantifying spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach"
<p>This is a zipped file of all associated code and data for the submitted paper entitled "Quantifying spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach".</p>
Figure 22 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 22. Outlines of 8 dipole structures that preceded all intense algal blooms in the central part of the South Caspian during the study period from 1999 to 2022. Different colors mark different years.
Figure 20 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 20 shows interannual variability of monthly averaged cloudiness for June, July, August and September in 2002-2022. One can see that all bloom events have occurred when monthly averaged cloudiness was in the range of 0.1-0.57. In general, absence of clouds should be favorable for algal bloom due to high level of insolation, but we can point to years 2006, 2012, 2014, 2016, and 2022 when monthly averaged cloudiness in August was less than 0.3 and no algal blooms were identified.
Figure 21 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 21. Interannual variability of photosynthetically active radiation (Einstein/m2day) in June, July, August and September (2002-2022) in the southern part of the South Caspian. Red circles mark cases of intense algal bloom.
Figure 20 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 20. Interannual variability of cloudiness in June, July, August and September (2002-2022) in the southern part of the South Caspian. Red circles mark cases of intense algal bloom.
Figure 17 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 17. Interannual variability of SST (0C) in June, July, August and September (2002-2022) in the southern part of the South Caspian. Red circles mark cases of intense algal bloom.
Figure 19 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 19 shows interannual variability of monthly averaged wind speed for June, July, August and September in 2000-2022. We can see that all bloom events occurred when monthly averaged wind speed was in the range of 4.3-5.0 m/s. In general, low wind speed should be favorable for algal bloom due to absence of wind-wave mixing, but the problem is that this area of the Caspian is the calmest area of the sea (Rahimi et al. 2022). Only twice, in September 2016 and 2019, wind speed reached 5.5-5.75 m/s (Figure 19). Seemingly, every year should be favorable for algal bloom, but that is not true. Moreover, in August 2003, 2006, 2007, 2014, and 2016, wind speed was less than 4.3 m/s and no algal blooms were recorded in these years.
Figure 16 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 16. Features of intense bloom of cyanobacteria in the South Caspian in 2021: Aqua MODIS true color image of July 4 (a); map of Chl-a concentration of July 4 (b); Sentinel-2A MSI image of July 21 (c).
Figure 14 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 14. Features of intense bloom of cyanobacteria at the border of the Middle and South Caspian on August 8, 2017 (Aqua MODIS true color image)
Figure 15 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 15. Features of intense bloom of cyanobacteria in the South Caspian in a Suomi NPP VIIRS true color image of July 29, 2018.
Figure 13 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 13. Features of intense bloom of cyanobacteria in the South Caspian in 2017 in Aqua MODIS true color images of: July 23 in the southeastern part (a); August 3 in the southern part (b); August 8 - a merged structure along the entire southern coast (c). Map of Chl-a concentration (d) is drawn from Aqua MODIS data of August 8
Figure 12 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 12. Features of intense phytoplankton bloom in the South Caspian in 2010 in Aqua MODIS true color images of July 13 (a) and August 4 (b)
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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)
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.