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428 results for “zooplankton”
Data from: Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
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Data from: Macroecological drivers of zooplankton communities across the mountains of western North America
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Data from: New net zooplankton geographical information system in the Far East seas and adjacent waters of the Pacific Ocean
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Data from: Increasing zooplankton size diversity enhances the strength of top-down control on phytoplankton through diet niche partitioning
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Data from: Changing climate cues differentially alter zooplankton dormancy dynamics across latitudes
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Data from: Behavioral diversity is maintained by a conditional strategy in a freshwater zooplankton
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Data from: Adaptive phenotypic plasticity and local adaptation for temperature tolerance in freshwater zooplankton
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Testing sunfish as zooplankton control agents for wastewater-algal cultivation: Nutrient, invertebrate, and algae data
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Trait-dependency of trophic interactions in zooplankton food webs
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Which physicochemical variables should zooplankton ecologists measure when they conduct field studies?
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Acoustic and fluorescence data from: A marine zooplankton community vertically structured by light across diel to interannual timescales
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Zooplankton energy densities from literature
A data set of the dry energy density and wet to dry mass ratios of zooplankotn. these data were found searching web of science and google scholar.
Numerical and mass concentrations of microplastic debris collected by manta net; Numerical concentrations of Halobates sericeus adults/juveniles and eggs; zooplankton biomass concentration. Various cruises from 1972 - 2010 (completed).
Microplastic, Halobates, and zooplankton were collected using a standard manta net tow. Each sample was sorted at 6-12x magnification under a Wild M-5 dissecting microscope, and plastic particles and H. sericeus removed for further analysis. Plastic particles were soaked in deionized water to remove salts, dried at 60°C, and stored in a desiccator. Dry mass was measured on an analytical balance. Particles were then digitally imaged with a Zooscan digital scanner (Gorsky et al. 2010). The total number of particles was measured using NIH ImageJ-based tools in the Zooprocess software, calibrated against manual measurements (Gilfillan et al. 2009, Gorsky et al. 2010). H. sericeus samples were enumerated and classified into 5 categories: juvenile, adult male, adult female, newly molted, and molted exoskeletons. H. sericeus eggs, both those attached to plastic and those that had become detached during the collection process, were also enumerated. Dry mass of zooplankton was obtained from preserved manta tow samples. After fixation in 1.8% formaldehyde for 24 months, samples were split in a Folsom splitter, filtered onto 202 µm Nitex mesh disks and rinsed with isotonic ammonium formate. Filters were dried for 24 hours at 60°C and placed in a vacuum dessicator until weighing. Filters were weighed to the nearest 0.0001 gram on the same analytical balance as the plastic samples. A 20% correction factor was applied in order to compensate for the biomass lost by preservation.
Zooplankton collected aboard Palmer Station LTER annual cruises off the western antarctic peninsula, 1993 - 2008.
Samples were collected with a 2-m, 700-um net towed from surface to 120 m. This dataset is the historical (1993 - 2008) counterpart to dataset #199, Zooplankton Density - Current. Together these two data sets comprise the full Palmer LTER zooplankton density time series. Please refer to the methods of each dataset for differences between the two.
Lipid content and stable isotopes of zooplankton during five winters around the northern Antarctic Peninsula
<p>The Southern Ocean zooplankton community is diverse, yet most species are understudied, especially with respect to their overwinter feeding ecologies. This dataset describes body condition and trophic biomarker data (lipid content and stable isotopes of carbon and nitrogen) from 19 zooplankton species collected over five consecutive winters (August and September 2012 – 2016) around the northern Antarctic Peninsula. To complement these data and provide context for interpretation, we report environmental data (percent sea-ice cover, sea-ice type, water temperature, salinity, and integrated chlorophyll-a (to 100 m)) as well as species abundance data at each sampling location. For most species, these are the first winter measurements or time series of body condition, trophic position, and abundance in relation to environmental variables around the northern Antarctic Peninsula. </p>
Data from: Temperature drives epidemics in a zooplankton-fungus disease system: a trait-driven approach points to transmission via host foraging
Climatic warming will likely have idiosyncratic impacts on infectious diseases, causing some to increase while others decrease or shift geographically. A mechanistic framework could better predict these different temperature-disease outcomes. However, such a framework remains challenging to develop, due to the non-linear and (sometimes) opposing thermal responses of different host and parasite traits, and due to the difficulty of validating model predictions with observations and experiments. We address these challenges in a zooplankton-fungus (Daphnia dentifera-Metschnikowia bicuspidata) system. We test the hypothesis that warmer temperatures promote disease spread and produce larger epidemics. In lakes, epidemics that start earlier and warmer in autumn grow much larger. In a mesocosm experiment, warmer temperatures produced larger epidemics. A mechanistic model parameterized with trait assays revealed that this pattern arose primarily from the temperature-dependence of transmission rate (β), governed by the increasing foraging (and hence parasite exposure) rate of hosts (f). In the trait assays, parasite production seemed sufficiently responsive to shape epidemics as well; however, this trait proved too thermally insensitive in the mesocosm experiment and lake survey to matter much. Thus, in warmer environments, increased foraging of hosts raised transmission rate, yielding bigger epidemics through a potentially general, exposure-based mechanism for ectotherms. This mechanistic approach highlights how a trait-based framework will enhance predictive insight into responses of infectious disease to a warmer world.
Data from: Diversity-dependent evolutionary rates in early Paleozoic zooplankton
The extent to which biological diversity affects rates of diversification is central to understanding macroevolutionary dynamics, yet no consensus has emerged on the importance of diversity-dependence of evolutionary rates. Here we analyse the species-level fossil record of early Paleozoic graptoloids, documented with high temporal resolution, to test directly whether rates of diversification were influenced by levels of standing diversity within this major clade of marine zooplankton. To circumvent the statistical regression-to-the-mean artefact, whereby higher- and lower-than-average values of diversity tend to be followed by negative and positive diversification rates, we construct a non-parametric, empirically scaled, diversity-independent null model by randomizing the observed diversification rates with respect to time. Comparing observed correlations between diversity and diversification rate to those expected from this diversity-independent model, we find evidence for negative diversity-dependence, accounting for up to 12% of the variance in diversification rate, with maximal correlation at a temporal lag of ~1 million years. Diversity-dependence persists throughout the Ordovician and Silurian, despite a major increase in the strength and frequency of extinction and speciation pulses in the Silurian. In contrast to some previous work, we find that diversity-dependence affects rates of speciation and extinction nearly equally on average, although subtle differences emerge when we compare the Ordovician and Silurian.
Fig. 2 in The Composition, Diversity And Community Dynamics Of Limnetic Zooplankton In A Tropical Caldera Lake (Lake Taal, Philippines)
Fig. 2. Average abundance (Ind. / l) and number of species of Copepoda, Cladocera and Rotifera from the upper 40 m in Lake Taal in the year 2008. The Copepoda were grouped into nauplii, Calanoida and Cyclopoida.
DNA-metabarcoding reveals the importance of gelatinous zooplankton in the diet of Pandalus borealis, a keystone species in the Arctic
<p>Information about the dietary composition of species is crucial to understand their position and role in the food web. Stomach content analysis (SCA) and stable isotope analysis (SIA) are commonly used to study marine trophic relationships. SCA can provide high taxonomic resolution but requires taxonomic expertise and frequently underestimates digestible taxa. SIA provides a time-integrated view of the dietary sources but often lacks in taxonomic resolution. The use of molecular approaches such as DNA-metabarcoding may alleviate these problems. Here, we used DNA-metabarcoding with universal primers for cytochrome c oxidase I (COI), to study the diet composition of the Northern shrimp (<i>Pandalus borealis</i>) from the Barents Sea, a keystone species in the Arctic region with large socio-economic importance. Across locations, jellyfish and chaetognaths were the most important components in the diet of <i>P. borealis</i>, jointly accounting for 40-60% of the total read abundance. This dietary importance of gelatinous zooplankton contrasts sharply with published results based on SCA. At the same time, diet composition differed between fjord and shelf locations, pointing to different food webs supporting <i>P. borealis</i> in these two systems. Our study underscores the potential of molecular approaches to provide important new insights into the diet of marine invertebrates that are difficult or impossible to obtain with traditional methods, and calls for a revision of the role of gelatinous zooplankton in the diet of the key Arctic species <i>P. borealis</i>, and in extension, Arctic food webs.</p>
UVPCasts-Zooplankton-Brazil-Ecotaxa-Uvp5_sn200_ilhas_2017_filtered_vignettes
<p>Zooplankton abundance dataset from UVP casts performed in the Atlantic Ocean.</p>
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.