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428 results for “zooplankton”
Data from: Empirical verification of feeding selectivity of larval and juvenile pelagic fishes using in situ zooplankton communities
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Data for: Age structure eliminates the impact of coinfection on epidemic dynamics in a freshwater zooplankton system
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Global variation in zooplankton niche divergence across ocean basins
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Data from: Asymmetrical evolution of cross inhibition in zooplankton: Insights from contrasting phosphorus limitation and salinization exposure sequences
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Elemental and biochemical nutrient limitation of zooplankton: A meta-analysis
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Zooplankton density and size data in Lake Awosting, Lake Minnewaska, and Mohonk Lake, NY, USA 2013-2018
Crustaceans and large rotifers were collected from three Northeastern U.S. lakes, Lake Awosting (fishless), Lake Minnewaska (piscivores only), Mohonk Lake (planktivores and piscivores), from 2013-2018 to assess differences in community composition, density, and biomass across lakes with different fish communities. In 2017, we collected zooplankton at four discrete depths within each lake (1m, 5m, 8m, and 12m for Mohonk/15m for Awosting and Minnewaska) on three separate sampling occasions during the summer using a Van Dorn sampler. Zooplankton were filtered with a 125-mm mesh sieve and preserved in 70% EtOH in the field. From 2013-2018, 10m vertical tows were also collected using an 80 um Wisconsin plankton net in each lake. These datasets include abundance of organisms across spatial and temporal scales, as well as the individual size and taxonomic identification for all individuals counted.
Depth profiles of water column dissolved methane, density and biomass of zooplankton (specifically, Chaoborus spp.), and measurements of methane extracted from Chaoborus spp. during two sampling campaigns in 2016
Depth profiles of water column dissolved methane (CH4), density and biomass of zooplankton (specifically, Chaoborus spp.), and measurements of methane extracted from Chaoborus spp. were collected from Beaverdam Reservoir, Vinton, VA, USA during two, 24-hr intensive sampling campaigns in fall 2016 (3-4 August and 16-17 September). The sampling campaign was designed to test the hypothesis that Chaoborus spp. can transport CH4 from the hypolimnion to the epilimnion of lakes and reservoirs as they migrate to the surface waters from the benthos at night in search of zooplankton prey, and results of the project are published in Carey et al. 2018. During both sampling events, depth profiles of water column methane and Chaoborus spp. density were collected at noon, dusk, midnight, 2 a.m., dawn, and noon the following day at a 1 m resolution. In addition, during the September sampling event depth profiles were collected 1 hour prior to and after dusk. Methane gas was extracted from live Chaoborus individuals at every depth and time point immediately after collection via gentle centrifugation in distilled water following McGinnis et al. 2017. REFERENCES: Carey, C.C., R.P. McClure, J.P. Doubek, M.E. Lofton, N.K. Ward, and D. Scott. 2018. Chaoborus spp. transport CH4 from the sediments to the surface waters of a eutrophic reservoir, but their contribution to water column CH4 concentrations and diffusive efflux is minor. Environmental Science & Technology. 52:1165-1173. DOI 10.1021/acs.est.7b04384 McGinnis, D. F., Flury, S., Tang, K. W., Grossart, H.-P. 2017. Porewater methane transport within the gas vesicles of diurnally migrating Chaoborus spp.: an energetic advantage. Scientific Reports. 7(44478) DOI 10.1038/srep44478
Zooplankton Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/352/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/2/1. The abstract below was extracted from the Level 0 data package and is included for context: This data package consists of Zooplankton Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER. The purpose of the long term monitoring of zooplankton was to characterize the fauna in the water column larger than or equal to 153 microns and to obtain some basic information on each of the taxa encountered there. A sampling regime of collections made at regular biweekly intervals was implemented to provide the best quantitative assessment of long term changes in the zooplankton population dynamics.
Zooplankton density for lake samples collected near Toolik Lake Arctic LTER in the summer from 1983 to 1992.
Zooplankton density in number per liter for all samples collected from arctic lakes near Toolik Lake Field Station (Arctic LTER) in summer from 1983 to 1992 (inclusive). NOTE: The dates for 1992 are WRONG in versions 1 and 2. The original dates were entered in several date formats which resulted in conversion errors.
Zooplankton density for lake samples collected near Toolik Lake Arctic LTER in the summer of 1977
Zooplankton density in number per liter for all samples collected from arctic lakes near Toolik Lake Field Station (Arctic LTER) in the summer of 1977.
MCR LTER: Coral Reef: Water Column: Zooplankton Composition and Abundance
This data package contains zooplankton abundance and taxonomic composition measured at 5 stations on the north shore of Moorea, French Polynesia: Forereef, Backreef, Fringing Reef, Cooks Bay, and Oceanic (5 km due north) from 2005 to 2010. Day time measurements over the reef were taken with a 30 cm, 200 μm mesh plankton net equipped with a slow speed General Oceanics Model 2030 flow meter. Nets were swum horizontally by a diver 1 m above the bottom at Forereef, Backreef and Fringing Reef sites. Daytime sampling at the Oceanic and Cooks Bay sites consisted of 0-50 m, 0-100 or 0-30 m vertical tows with a 30 cm, 200 μm mesh plankton net equipped with a standard General Oceanics Model 2030 flow meter. Nighttime sampling and some daytime sampling was done at the Forereef, Backreef and Fringing Reef sites using automated plankton pumps equipped with flow meters and 200 μm internal nets (described in Alldredge and King, 2009). These pumps sampled 75 cm above the bottom for 1 to 1.5 hours beginning at 11 pm local time. Nocturnal zooplankton abundance was sensitive to lunar phase. On some sampling dates pump samples were taken at the same depth in duplicate, or at several different depths simultaneously. The zooplankton time series was terminated when it became clear that the variability in zooplankton abundance over just 50 cm difference in depth over the reef was greater than the variability seasonally or even day to night (Alldredge and King, 2009). Alldredge AL and J M King 2009. Near-surface enrichment of zooplankton over a shallow back reef: Implications for coral reef planktivores. Coral Reefs 28:895-908. DOI: 10.1007/s00338-009-0534-4
MCR LTER: Coral Reef: Demersal Zooplankton Composition and Abundance
This data package contains demersal zooplankton abundance and taxonomic composition measured at 3 stations on the north shore of Moorea, French Polynesia: Forereef, Backreef and Fringing Reef from 2005 to 2010. Demersal zooplankton emerging from sand or rubble substrates on the reef during the night were captured in 8 inverted funnel traps placed on the substrate in the late afternoon and retrieved the following morning. Traps were made of 200 μm mesh netting with the opening to the cod end located 18 cm above the bottom. Four traps, each covering 0.0615 m2 of substrate, were combined to obtain one sample for counting. The table reports means of 2 replicates each containing 4 combined traps. Traps placed over sand were pushed into the substrate. However, traps over rubble had numerous gaps along their bases allowing some contamination from the water column. Data are expressed as number of animals emerging per square meter of bottom.
Data & R Scripts - Short and long-term effects of low-sulphur fuels on marine zooplankton communities
<p>Data and R scripts associated with "Short and long-term effects of low-sulphur fuels on marine zooplankton communities" https://doi.org/10.1016/j.aquatox.2020.105592 </p>
Dataset for Gelatinous zooplankton-mediated carbon flows in the global oceans: A data-driven modeling study
<p>Gridded dataset of gelatinous zooplankton (GZ) biomass (mg C m<sup>-3</sup>) and numeric density (individuals m<sup>-3</sup>), time-averaged, in a 1-degree grid. Data are separated by phyla: Cnidaria, Ctenophora, and Chordata (pelagic tunicates). Original data compiled as part of the Jellyfish Database Initiative Project (JeDI; Condon et al. 2015, doi:10.1575/1912/7191) and converted to carbon biomass units for Lucas et al. 2014.</p> <p>Cnidarian additions to this dataset include records from the northern California Current (Brodeur et al., 2014) and Gulf of Mexico (Robinson et al., 2015). Chordata additions include salps from the Bermuda Atlantic Time Series (BATS; Stone & Steinberg, 2014), Western Antarctic Peninsula (WAP; Steinberg et al., 2015), and Southern Ocean, from KRILLBASE (Atkinson et al., 2017). Note that we excluded the KRILLBASE records from the WAP region that to prevent double-counting. See Methods in Luo et al. (2020) for details on biometric conversions to carbon biomass.</p> <p>Data were averaged by time (season, then year), and then within each 1-degree grid cell.</p> <p> </p> <p> </p> <p>Code for the model using this dataset is available at: <a href="https://github.com/jessluo/gz_biogeochem_pub">https://github.com/jessluo/gz_biogeochem_pub</a></p> <p> </p> <p><strong>Luo, Jessica Y.</strong>, Condon, R. H., Stock, C. A., Duarte, C. M., Lucas, C. H., Pitt, K. A., & Cowen, R. K. (2020). Gelatinous zooplankton‐mediated carbon flows in the global oceans: A data‐driven modeling study. <em>Global Biogeochemical Cycles</em>, 34, e2020GB006704. <a href="https://doi.org/10.1029/2020GB006704">https://doi.org/10.1029/2020GB006704</a></p>
Spatio-temporal persistence of zooplankton communities in the Gulf of Alaska
<p class="BodyAA">Spatial structuring of mid-trophic level forage communities in the Gulf of Alaska (GoA) is poorly understood, even though it has clear implications for the health of fisheries and marine wildlife populations. Here, we test the hypothesis that summertime (May-August) mesozooplankton communities are spatially-persistent across years of varying ocean conditions, including during the marine heatwave of 2014-2016<span><span>. </span></span> We use spatial ordinations and hierarchical clustering of Continuous Plankton Recorder (CPR) sampling over 17 years (2000-2016) to (1) characterize typical zooplankton communities in different regions of the GoA, and (2) investigate spatial structuring relative to variation in ocean temperatures and circulation. Five regional communities were identified, each representing distinct variation in the abundance of 18 primary zooplankton taxa: a distinct cluster of coastal taxa on the continental shelf north of Vancouver Island; a second cluster in the western GoA associated with strong currents and cold water east of Unimak Pass; a shelf break cluster rich in euphausiids found at both the eastern and western margins of the GoA; a broad offshore cluster of abundant pelagic zooplankton in the southern GoA gyre associated with stable temperature and current conditions; and a final offshore cluster exhibiting low zooplankton abundance concentrated along the northeastern arm of the subarctic gyre where ocean conditions are dominated by eddy activity. When comparing years of anomalous warm and cold sea surface temperatures, we observed change in the spatial structure in coastal communities, but little change (i.e., spatial persistence) in the northwestern GoA basin. Whereas previous studies have shown within-region variability in zooplankton communities in response to ocean climate, we highlight both consistency and change in regional communities, with interannual variability in shelf communities and persistence in community structure offshore. These results suggest greater variability in coastal food webs than in the central portion of the GoA, which may be important to energy exchange from lower to upper trophic levels in the mesoscale biomes of this ecosystem.</p>
Data from: Sampling effects drive the species-area relationship in lake zooplankton
<p><b>The Island Species-Area relationship (ISAR) describes how the numbers of species increases with increasing size of an island (or island-like habitat, such as lakes), and is one of the oldest laws in ecology. Despite its conceptual importance, there remains a great deal of ambiguity regarding the ISAR and its underlying processes. We compiled data from sampled zooplankton assemblages from several hundred lakes in North America and Europe to examine the influence of the three main hypothesized mechanisms leading to ISARs - passive sampling, disproportionate effects, and habitat heterogeneity. We compiled data on lake zooplankton assemblages that reported sample-level and lake level species richness estimates, as well as relative abundance data. In both North American and European lakes, we found a consistent and strong increase in total species richness with increasing lake area. However, when we compared the number of species standardized by number of individuals, there was no relationship between lake area and sample-level species richness or an estimate of species relative abundances, calculated as the Probability of Interspecific Encounter (PIE; a measure of evenness). This was true even when multiple samples were taken across lakes and combined, reducing the likelihood that habitat heterogeneity was driving the results. Overall, our results suggest that the ISAR of zooplankton in these lakes was most likely determined by sampling effects rather than disproportionate effects or habitat heterogeneity leading to more species in larger lakes. Understanding the mechanisms driving ISAR results such as ours can also help us develop predictions for biodiversity change when the area of these habitats changes. </b></p>
Zooplankton and water quality data for 37 lakes in the Gwich'in and Inuvialuit regions of the Northwest Territories
<p>This dataset includes zooplankton and water quality data from 37 lakes sampled in the Northwest Territories, Canada, from the Dempster and Inuvik-Tuktoyaktuk Highways during July and August of 2017 and 2018. It was collected as part of a project to determine how physicochemical variables affect zooplankton and fish communities in small Arctic lakes.</p>
Acclimation capacity and rate change through life in the zooplankton Daphnia
<p>When a change in the environment occurs, organisms can maintain an optimal phenotypic state via plastic, reversible changes to their phenotypes. These adjustments, when occurring within a generation, are described as the process of acclimation. Whilst acclimation has been studied for more than half a century, global environmental change has stimulated renewed interest in quantifying variation in the rate and capacity with which this process occurs, particularly among ectothermic organisms. Yet, despite the likely ecological importance of acclimation capacity and rate, how these traits change throughout life among members of the same species is largely unstudied. Here we investigate these relationships by measuring acute heat tolerance of the clonally reproducing zooplankter <i>Daphnia magna</i> of different size/age and acclimation status. The heat tolerance of individuals completely acclimated to relatively warm (28°C) or cool (17°C) temperatures diverged during development, indicating that older, larger individuals had a greater capacity to increase heat tolerance. However, when cool acclimated individuals were briefly exposed to the warm temperature (i.e. were 'heat-hardened'), it was younger, smaller animals with less capacity to acclimate that were able to do so more rapidly because they obtained or came closer to obtaining complete acclimation of heat tolerance. Our results illustrate that within a species, individuals can differ substantially in how rapidly and by how much they can respond to environmental change. We urge greater investigation of the intraspecific relationship between acclimation and development along with further consideration of the factors that might contribute to these enigmatic patterns of phenotypic variation.</p>
Zooplankton abundance from the Congo River and tributaries
<p>Data set generated by a BIOTA-FAPESP 2020/04047-5 project, coordinated by Prof. Gilmar Perbiche Neves from UFSCar-DHb, Brazil. The available data are on composition, abundance (individuals per cubic meter) and diversity indices.</p>
Bermuda Atlantic Time-Series Study (BATS) Zooplankton Biomass
<p>The BATS (Bermuda Atlantic Time-series Study) zooplankton biomass dataset is time-series spanning from 1994 to 2022. The dataset contains zooplankton biomass measurements.</p><p>Due to an ambiguity with depth a subset of the dataset been removed as part of the Simons CMAP curation process. The original dataset is also included here:</p><ul><li>Curated by Simons CMAP: BATS_Zooplankton_Biomass_CMAP.xlsx </li><li>Original version as text file: BATS_zooplankton.xlsx</li><li>Original version as excel file: BATS_zooplankton.xlsx </li></ul><p>The following dates were impacted by the depth ambiguity: 1994 (4/6 – 12/12); 1995 (1/11 – 4/27, 8/22); 2000 (2/28); 2001 (1/30, 8/7-8/8, 9/12, 10/16); 2004 (2/14, 3/23, 4/7, 7/14-15, 8/16-17); 2005 (1/27); 2006 (5/11, 6/26, 9/4-9/5); 2007 (7/18, 8/9, 10/6); 2008 (6/22); 2009 (2/10, 4/1, 4/15, 5/16, 5/19, 10/10); 2017 (5/9); 2018: (8/13); 2022: (6/29).</p><p>This description has been reproduced using https://www.dropbox.com/sh/xo6c72qaeznyv05/AACCiijqHcd2chjbwrqNcxica?dl=0&preview=BATS_zooplankton.txt</p>
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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.