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756 results for “Plankton”
Data from: Biodiversity forecasting in natural plankton communities reveals temperature and biotic interactions as key predictors
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Morphology of Pulleniatina (planktonic foraminifera): Micro-CT internal volumes
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3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera
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Data from: DNA metabarcoding as a tool to study plankton responses to warming and salinity change in mesocosms
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Data from: Physiological mortality rates of planktonic ciliates
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Plankton and benthic foraminiferal dataset for the study of the Eocene-Oligocene transition
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Data from: An extinction event in planktonic Foraminifera preceded by stabilizing selection
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Integral projection model results of the planktonic foraminifer Trilobatus sacculifer
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Data from: Drivers of global pre-industrial patterns of species turnover in planktonic foraminifera
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Prickly postglacial pioneers: freshwater plankton community composition influences fatty acid desaturase (FADS2) copy number in Southern Greenland threespine sticklebacks
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Jellyfish, plankton and POM SI and FA composition data, Quadra Island BC, 2019
We measured stable isotope (SI) and fatty acid (FA) profiles of particulate organic matter (POM), plankton size classes, and gelatinous zooplankton collected from Quadra Island, a coastal site in British Columbia, Canada, in July and September 2019. Gelatinous zooplankton comprised 152 Aurelia labiata collected across both months (bell diameters = 19 - 225 mm), and 2 Aequorea victoria and approximately 30 Pleurobrachia bachei collected in July for comparison.
Genetic and extracellular enzyme survey of planktonic communities of aquatic habitats in Green Lakes Valley, 2017
Preliminary work done in the soils of Green Lakes Valley (GLV) has shown that the microbial communities are generally carbon and phosphorus limited. While most working examining nutrient limitations in GLV has focused on the terrestrial environment, the aquatic environments lack the same study. Longterm monitoring of the lakes in GLV show that there are shifts in carbon availability (quantity and quality) over course of the Colorado alpine growing season. These shifts have been attributed to changes in the source of DOC as snow packs melt out and flow rates decline in the valley altering the ratio of internal (autochthonous) to external (allochthonous) carbon input to the lakes. We examined the links between the biogeography of planktonic communities and the functional response of those communities to shifting nutrient limitations to test the idea that nutrient limitation and composition of planktonic communities are linked both temporally and spatially in GLV. We determined the composition of GLV’s planktonic communities using amplicon sequencing of the small ribosomal subunit sequences (16S, 18S rDNA) and determined nutrient limitations using extracellular enzyme activity (EEA) assays to examine if communities shifted in conjunction with shifts in EEA. We observed that shifting composition in the planktonic communities of GLV mirrored shifts in nutrient limitation (primarily carbon and phosphorus limitation) over the course of the alpine growing season. Alpine and sub-alpine lakes showed opposite trends in the EEA of carbon acquisition enzymes while all lakes showed high activity for phosphorus acquisition enzymes. The planktonic communities were consistently phosphorus limited throughout the study, but carbon limitation was relieved in the alpine lakes as the season progressed while sub-alpine lakes became more carbon limited. The most likely mechanism behind the observed shifts in carbon limitation are the previously studied shifts where DOC is sourced in the va
Genetic survey of eukaryotic plankton communities of aquatic habitats in Green Lakes Valley, 2014 - 2017
Previous work has shown high-elevation ecosystems are especially susceptible to the effects of climate change, but little work has been done on microbial communities in high-elevation aquatic systems. Therefore, my research aimed to improve our understanding of the composition, stability, and factors controlling microbial communities in high-elevation lakes in the Front Range of the Colorado Rocky Mountains. I studied seasonal and inter-annual variations in bacterial (16S rDNA) and eukaryotic (18S rDNA) microbial communities at multiple locations (inlet, outlet, three depths in the water column) within alpine lakes over four years (2014-2017). Communities significantly differed between lake inlets and the lakes as a whole across sampling dates. The most significant variable controlling 16S and 18S community composition was lake discharge rate, indicating that water residence times play a strong role in structuring communities.
Reconstructing marine plankton food web interactions using DNA metabarcoding - Supplementary Dataset
<p>### This repository contains two separate datasets:</p> <p>1. *16S rRNA* gene dataset and<br> 2. *18S rRNA* gene dataset.</p> <p> </p> <p><br> ### The data is stored as ASV-file</p> <p>(Amplicon sequence variants) including:</p> <p>1. Exact sequence of ASV<br> 2. Taxonomic afiliation<br> 3. Read count matrix per sample sequencing library.</p> <p> </p> <p><br> ### Each dataset comes with a metadata-file.</p> <p>The metadata files contains the following variables:</p> <p>- **NGI.-Sample_ID** The Unique Sequenceing Library ID.<br> - **SAMPLE_ID** Identification of environmental *In_Situ* sample event.<br> - **SAMPLE_date** Date of sampling (YYY-MM-DD).<br> - **SAMPLE_type** Type of sample (Water or Zooplankton).<br> - **SAMPLE_method** Device used for sampling *In-Situ*.<br> - **SAMPLE_depth** Depth of sampling.<br> - **GENE** Marker gene.<br> - **INNER_primer** Primer pair ID used for PCR.<br> - **INNER_blocking** Weather blocking PNA has been used for PCR or not.</p> <p>For Zooplankton saples:<br> <br> - **SORTED_type** Taxonomic affiliation of Zooplankton (Blank for water samples).<br> - **SORTED_genus** Genus of sorted Zooplankton species (Blank for water samples).<br> - **SORTED_number** Number of individuals sorted in the sample.<br> <br> For Water samples:<br> <br> - **FILTER_poresize** Size in micrometer.<br> - **FILTER_material**<br> - **FILTER_volume** Volume of water filtered (L).</p>
Figure 7 in Spatiotemporal distribution of planktonic copepod communities in Tokyo Bay where Oithona davisae Ferrari and Orsi dominated in mid-1980s
Figure 7. Horizontal distribution of 12 indicator species of copepod communities in Tokyo Bay.
Marine plankton show threshold extinction response to Neogene climate change
<p>Taxonomic occurrence datasets to accompany the article entitled "Marine plankton show threshold extinction response to Neogene climate change." Spreadsheets contain International Ocean Discovery Program (IODP) site information, sample names, depth in meters below the seafloor (mbsf), age (in millions of years), and the number of occurrences of each taxon per sample. For the eastern equatorial Pacific (EEP) dataset, ages were calculated using the astronomically-tuned model of Tian <em>et al.</em> (2018). Southern Ocean (SO) age information comes from the Neptune Sandbox Berlin (NSB) database (Renaudie <em>et al. </em>2020), with age model quality reported as: very good (VG), good (G), medium (M), or poor (P). Only species-level data associated with "very good" age models were analyzed in our study; however, here we provide all data at the species and genus level, with age models of any quality.</p>
Cascading effects of climate change on plankton community structure
<p><span><span><span><span><span><span><span><span><span><span><span>Plankton communities account for at least half of global primary production and play a key role in the global carbon cycle. Warming and acidification may alter the interaction chains in these communities from the bottom and top of the food web. Yet, the relative importance of these potentially complex interactions has not yet been quantified. Here we examine the isolated and combined effects of warming, acidification, and reductions in phytoplankton and predator abundances in a series of factorial experiments. We find that warming directly impacts the top of the food web, but that the intermediate trophic groups are more strongly influenced by indirect effects mediated by altered top-down interactions. Direct manipulations of predator and phytoplankton abundance reveal similar strong top-down interactions following top predator decline. A meta-analysis of published experiments further support the conclusion that warming has stronger direct impacts on the top and bottom of the food web rather than the intermediate trophic groups, with important differences between freshwater and marine plankton communities. Our results reveal that the trophic effect of warming cascading down from the top of the plankton food web is a powerful agent of global change.</span></span></span></span></span></span></span></span></span></span></span></p>
Effects of episodic nutrients enrichments on P-limited planktonic communities: Lake Redon ENEX 2013 experiment
<p>Planktonic communities are naturally subjected to episodic nutrient enrichments that may stress or redress the imbalances in limiting nutrients. Human-enhanced atmospheric nitrogen deposition has caused profound N:P imbalance in many remote oligotrophic lakes in which phosphorus has largely become limiting. These lakes offer an opportunity to investigate the planktonic community response to nutrient fluctuations in P-limited conditions. The ENEX experiment in Lake Redon (Pyrenees), performed during August 2013, aimed to investigate the structural and stoichiometric effects of pulse nutrient additions on P-limited planktonic communities. We performed P (PO<sub>4</sub><sup>3-</sup>), and N (NH<sub>4</sub><sup>+</sup> or NO<sub>3</sub><sup>-</sup>) additions to the summer epilimnetic community of the ultraoligotrophic lake using self-filling ~100 L enclosures and analysed the response to varying P availability, N:P imbalance, and N source. The nutrient additions were gradients within the range of values seasonally found in the lake and other oligotrophic lakes of the Pyrenees, with a further P level typical of mesotrophic lakes to provided non-limiting conditions.</p>
Data from: Climate change-driven regime shifts in a planktonic food web
<p>Predicting how food webs will respond to global environmental change is difficult because of the complex interplay between the abiotic forcing and biotic interactions. Mechanistic models of species interactions in seasonal environments can help understand the effects of global change in different ecosystems. Seasonally ice-covered lakes are warming faster than many other ecosystems and undergoing pronounced food web changes, making the need to forecast those changes especially urgent. Using a seasonally forced food web model with a generalist zooplankton grazer and competing cold-adapted winter and warm-adapted summer phytoplankton, we show that with declining ice cover, the food web moves through different dynamic regimes, from annual to biennial cycles, with decreasing and then disappearing winter phytoplankton blooms and a shift of maximum biomass to summer season. Interestingly, when predator-prey interactions were not included, a declining ice cover did not cause regime shifts, suggesting that both are needed for regime transitions. A cluster analysis of long-term data from Lake Baikal, Siberia supports model results, revealing a change from regularly occurring winter blooms of endemic diatoms to less-frequent winter bloom years with decreasing ice cover. Together, the results show that even gradual environmental change, such as declining ice cover duration, may cause discontinuous or abrupt transitions between dynamic regimes in food webs.</p>
Adaptive specialization and constraint in morphological defenses of planktonic larvae
<ol> <li>Morphological defenses of plankton can include armor, spines, and coloration. Spines defend from gape-limited fish predators while pigmentation increases visibility to fishes but defends from ultraviolet radiation (UVR).</li> <li>Planktonic crab larvae (zoeae) exhibit inter- and intra-specific variability in the lengths of defensive spines, extent of pigmentation, and body size. The determinants of this variability and the relationships among these traits are largely unknown.</li> <li>Larvae may employ generalized defenses against the dual threats of UVR and predation or specialized defenses against their primary threat, with an unknown role of allometric or phylogenetic constraints. Generalization would result in longer spines compensating for the increased predation risk imposed by darker pigments, while specialization would lead to more investment in either defense from predation (long spines) or UVR (dark pigments), at the expense of the other trait.</li> <li>We examined 1) the relationship between spine lengths and pigmentation, 2) the scaling of spine lengths with body size, and 3) phylogenetic constraint in spine lengths, pigmentation, and body size, among and within 21 species of laboratory-hatched and 23 species of field-collected crab larvae from Panama and California.</li> <li>We found a negative relationship between spine length and pigmentation among species from laboratory and field. Within species, we found a marginally significant negative relationship among field-collected larvae.</li> <li>Spine lengths showed positive allometric scaling with carapace length while spine and carapace lengths, but not pigmentation, had significant phylogenetic signals.</li> <li>The negative relationship we observed between pigmentation and spine length supports our defense specialization hypothesis.</li> <li>Positive allometric scaling of spine lengths means larger larvae are better defended from predators, which may indicate that larvae face greater predation risk as they grow larger.</li> <li>Phylogenetic constraint may have arisen because related species encounter similar predation threats. Conversely, phylogenetic constraint in the evolution of spine lengths may induce convergent behaviors resulting in related species facing similar predation threats.</li> <li>Our results improve understanding of the evolution of the larval morphology of crabs, morphological defenses in the plankton, and evolutionary responses of morphology to multiple spatially-segregated selective forces.</li> </ol>
ScienceDex guides
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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.