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60 results for “algal bloom”
Figure 8 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 8. Features of intense phytoplankton bloom in the South Caspian in 2001 in true color Terra MODIS images: in the initial period, on July 14 (a), arrows indicate the bloom area; at the peak of the bloom, on July 25 (b).
Figure 9 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 9. Features of various stages of intense cyanobacteria bloom in the South Caspian in August-September 2005 in Aqua MODIS true color images of: August 14 (a); August 24 (b); September 1 (c); September 16 (e). Map of Chl-a concentration of September 1 (d) is taken from (Soloviev 2005).
Figure 7 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 7. Schematic map of intense phytoplankton bloom areas in 2022 (green contours), built from daily Aqua MODIS data in the See the Sea information system.
Figure 11 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 11. Features of intense bloom of cyanobacteria in the South Caspian in Aqua MODIS true color image of August 20, 2009.
Figure 4 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 4. Annual maximum, mean and minimum Chl-a concentrations for the North Caspian (a), Middle Caspian (b), South Caspian (c) in the period from July 2002 to December 2022, from Aqua MODIS data.
Figure 6 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 6. Features of coastal current, vortex structures and jets along the western coast of the Caspian Sea in an Aqua MODIS image of July 26, 2022. The tracer is Chl-a of high concentration.
Figure 2 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 2. Features of various types of algae in the Middle Caspian in a true color image of Landsat-8 OLI of August 6, 2017. (©OceanColor Web).
Figure 3 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 3. Average monthly values of Chl-a concentration for the North Caspian (a,b), Middle Caspian (c,d) and South Caspian (e,f) in the period from July 2002 to December 2022, from Aqua MODIS data.
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>
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>
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>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.