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29 results for “harmful algal blooms”
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
Open the record for dataset details and reuse information.
Data from: Genome-wide investigation of adaptation to harmful algal blooms in common bottlenose dolphins (Tursiops truncatus)
Open the record for dataset details and reuse information.
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>
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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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.