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.
29
datasets available to search
ShareScore release 0.7.1
Dataset results
29 results for “harmful algal blooms”
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.
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.
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>
Fig. 1 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event
Fig. 1. Stylised maps of Singapore and Raffles Marina (inset). Dotted lines indicate areas outside Raffles Marina where fish traps were deployed.
Fig. 3. Average a in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event
Fig. 3. Average a) Species richness, b) catch abundance, and c) species diversity (Shannon Wiener index) of fish communities within and outside Raffles Marina before and after a harmful algal bloom event in February 2014 (all means ± SE). DJF-13: December 2013– February 2014; MAM-14: March 2014–May 2014; JJA-14: June 2014–August 2014; SON-14: September 2014–November 2014; DJF-14: December 2014–February 2015. Seasons that are not significantly different are denoted by the same letter (lower case – within marina; upper case – outside marina).
Fig. 2 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event
Fig. 2. Principal coordinates analysis of fish communities within and outside Raffles Marina before the harmful algal bloom event in February 2014. The two principal coordinates explained 55.1% of total variation. Factors shown within the circle correlate with PCO1 or PCO2 with a factor of at least 0.5.
Fig. 5 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event
Fig. 5. Principal coordinates analysis of fish communities outside Raffles Marina before and after a harmful algal bloom event in February 2014. The two principal coordinates explained 43.2% of total variation. Factors shown within the circle correlate with PCO1 or PCO2 with a factor of at least 0.5. (DJF-13: December 2013–February 2014; MAM-14: March 2014–May 2014; JJA-14: June 2014–August 2014; SON-14: September 2014– ovember 2014; DJF-14: December 2014–February 2015).
Fig. 4 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event
Fig. 4. Principal coordinates analysis of fish community within Raffles Marina before and after a HAB event in February 2014. The two principal coordinates explained 38.1% of total variation. Factors shown within the circle correlate with PCO1 or PCO2 with a factor of at least 0.5. (DJF-13: December 2013–February 2014; MAM-14: March 2014–May 2014; JJA-14: June 2014–August 2014; SON-14: September 2014–November 2014; DJF-14: December 2014–February 2015).
Data used in the definition of Harmful Algal Bloom hotspot for Northern Indian Ocean
<p>The zipped rar file contain raw data used in the harmful algal bloom hotspot analysis for the Northern Indian Ocean. Annual_MK_full folder gives the data on the annual Mann kendal analysis of the chlorophyll data from satellite data. Boreal_season_full folder gives data on seasonally calculated chlorophyll concentration from the Northern Indian ocean. Monthly_MK folder gives the monthly averaged chlorophyll data. The chlorophyll data is further grouped into two; (1) Chlorophyll concentration greater than 4 mg/m^3 and (2) Chlorophyll concentration greater than 10 mg/m^3.</p> <p> </p>
Phytoplankton metabolism in a stratified nearshore ecosystem with recurrent Harmful Algal Blooms (HABs)
<p>Datasets from HAB monitoring program in Mallorca</p>
Data from: What doesn’t kill you makes you stronger: Fear of predation widens the thermal niche of the harmful algal bloom species Phaeocystis globosa
Open the record for dataset details and reuse information.
Data from: Intraspecific divergence within Microcystis aeruginosa mediates the dynamics of freshwater harmful algal blooms under climate warming scenarios
Open the record for dataset details and reuse information.
Dataset for: Sensitivity of a satellite algorithm for harmful algal blooms discrimination to the use of laboratory bio-optical data for training
<p>Two files relating to the publication by Martinez-Vicente et al. (2020).</p> <p>meris_data_karenia_alt_chla.xlsx : file containing the chlorophyll concentrations for the different areas in the MODIS images selected for training and evaluation of the algorithm.</p> <p>coefficients_for_LDA_Karenia_mikimotoi.zip: file containing the coefficients for the Linear Discriminant Analysis (LDA) resulting from the training datasets 1,2 and 3. </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.
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.