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756 results for “Plankton”
Size group (pico, nano, micro) and group total carbon estimates from cell counts via epifluorescent microscopy (EPI) of heterotrophic and autotrophic plankton from CCE-CalCOFI Augmented cruises in the California Current System, 2004 - 2011 (ongoing).
Microbial community assemblages of the California Current Ecosystem (CCE) are assessed for biomass of heterotrophic (dinoflagellate and other eukaryotes) and autotrophic (dinoflagellate and other eukaryotes) plankton using high-throughput digital epifluorescence microscopy (EPI). Samples to estimate the nano- and microplankton (0.2-2.0-µm and 2.0-20-µm size, respectively) are collected at various depths via Niskin bottles, preserved, stained, and filtered onto a membrane filter and mounted on a glass microscope slide aboard the quarterly CalCOFI survey cruises (since 2004, ongoing). Slides are then frozen at -80°C for subsequent imaging and analysis in the laboratory onshore. Carbon biomass is computed from cell biovolumes.
Cell counts (per liter) by size groups of diatoms, autotrophic and heterotrophic plankton, via epifluorescent microscopy (EPI) from CCE-CalCOFI Augmented cruises in the California Current System, 2004 - 2011 (ongoing).
Microbial community assemblages of the California Current Ecosystem (CCE) are assessed for abundance of diatoms, autotrophic (dinoflagellate and other eukaryotes) and heterotrophic (dinoflagellate and other eukaryotes) plankton using high-throughput digital epifluorescence microscopy (EPI). Samples to estimate the nano- and microplankton (0.2-2.0-µm and 2.0-20-µm size, respectively) are collected at various depths via Niskin bottles, preserved, stained, and filtered onto a membrane filter and mounted on a glass microscope slide aboard the quarterly CalCOFI survey cruises (since 2004, ongoing). Slides are then frozen at -80°C for subsequent imaging and analysis in the laboratory onshore.
Intercompartmental trophic exchanges from an inverse plankton foodweb model for the north and south penguin foraging regions in the Palmer LTER study area, 1995 - 2006.
Plankton foodwebs can be represented by systems of biotic living and nonliving compartments linked by networks of intercompartmental trophic exchanges (“flows”). These include grazing, respiration, excretion, nutrient uptake and other physiological processes. Not all flows can be readily measured. The inverse model technique is used to provide objective estimates of unmeasured flows. This dataset includes complete model flows for representative plankton foodwebs in the north and south LTER study area and their associated uncertainties.
Figure 4 in Zoeal stages of Hiplyra variegata (Rüppell, 1830) (Crustacea: Brachyura: Leucosiidae) reared in the laboratory and collected from plankton at Al-Kharrar creek, central Red Sea
Figure 4. Hiplyra variegata (Rüppell, 1830), pleopod: (a) zoea II; (b) zoea III. Pereiopod: (c) zoea II; (d) zoea III. Dorsal view of pleon: (e) zoea I; (f) zoea II; (g) zoea III. Dorsal view of telson: (h) zoea III.
Figure 3 in Zoeal stages of Hiplyra variegata (Rüppell, 1830) (Crustacea: Brachyura: Leucosiidae) reared in the laboratory and collected from plankton at Al-Kharrar creek, central Red Sea
Figure 3. Hiplyra variegata (Rüppell, 1830), first maxilliped: (a) zoea I; (b) zoea II; (c) zoea III. Second maxilliped: (d) zoea I; (e) zoea II; (f) zoea II; Third maxilliped: (g) zoea III.
Figure 1 in Zoeal stages of Hiplyra variegata (Rüppell, 1830) (Crustacea: Brachyura: Leucosiidae) reared in the laboratory and collected from plankton at Al-Kharrar creek, central Red Sea
Figure 1. Hiplyra variegata (Rüppell, 1830), lateral view of carapace: (a) zoea I; (b) zoea II; (c) zoea III. Dorsal view of rostrum spine: (d) zoea I; (e) zoea II; (f) zoea III. Antennule: (g) zoea I; (i) zoea II; (k) zoea III. Antenna: (h) zoea I; (j) zoea II; (l) zoea III.
Figure 2 in Spatiotemporal distribution of planktonic copepod communities in Tokyo Bay where Oithona davisae Ferrari and Orsi dominated in mid-1980s
Figure 2. Horizontal distribution of surface temperature, surface and bottom salinity, bottom DO and transparency in Tokyo Bay (modified from Investigation Committee for Fisheries Impacts of Trans-Tokyo Bay Highway and Japan Fisheries Resources Conservation Assoc 1987). Numerals in parentheses indicate mean. Surface: 0.5 m, bottom: 1 m above sea floor.
Figure 1 in Spatiotemporal distribution of planktonic copepod communities in Tokyo Bay where Oithona davisae Ferrari and Orsi dominated in mid-1980s
Figure 1. Map showing stations where plankton samples were collected. Numerals in parentheses indicate depth (m). Broken lines show boundaries between areas as used in the text.
Figure 7 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 7. Seasonal changes in the flux of adult females, lipid accumulation (upper panels) and gonad maturation (lower panels) composition (stage I−III) of C6F (a, d) Calanus hyperboreus; (b, e) Metridia longa; and (c, f) Paraeuchaeta glacialis.
Figure 4 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 4. Seasonal changes in the copepod flux and species composition at St. NAPt from October 2010 to September 2012.
Figure 6 in Inter-oceanic comparison of planktonic copepod ecology (vertical distribution, abundance, community structure, population structure and body size) between the Okhotsk Sea and Oyashio region in autumn
Figure 6. Vertical distribution of the prosome length ratios of the copepods (PLOkhotsk: PLOyashio) (left) and temperature anomalies (°C: TOkhotsk – TOyashio) (right) between the Okhotsk Sea (St. OK24) and Oyashio region (St. 19) evaluated by IONESS from October to November 1996. The vertical distribution of each copepod is calculated by daily duplicate samples in the Okhotsk Sea (symbols and bars indicate the means and standard deviations of D50%, respectively). For inter-oceanic comparison, the dashed lines in each panel indicate that the positions of values of both regions are equal.
Figure 6 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 6. Seasonal changes in the flux and copepodid stage composition of the four large calanoid copepods: (a) Calanus hyperboreus; (b) Metridia longa; (c) Paraeuchaeta glacialis; and (d) Heterorhabdus norvegicus.
Figure 2 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 2. Seasonal changes in depth (a) and temperature (b) of the sediment trap at St. NAPt from October 2010 to September 2012. The current velocity at 188 and 275 m at St. NAPt (c) was estimated by a physical ocean general circulation model.
Figure 1 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 1. The location of St. NAPt (Northwind Abyssal Plain) in the western Arctic Ocean where the sediment trap was moored at a depth of approximately 184–260 m from October 2010 to September 2012.
Figure 5 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 5. (a) Seasonal changes in the flux and copepodid stage composition of the dominant copepod Oncaea parila (Poecilostomatoida). *C6F with egg sacs occurred. (b) The relationship between O. parila flux and the total mass flux. A positive relationship was detected in 2010–2011 (first year).
Figure 5 in Spatiotemporal distribution of planktonic copepod communities in Tokyo Bay where Oithona davisae Ferrari and Orsi dominated in mid-1980s
Figure 5. Grouping results for copepod community in Tokyo Bay by a two dimensional NMDS ordination plot. Arrows indicate environmental gradients that have a significant (p <0.01) multiple regression to the ordination score from low to high.
Figure 1 in Inter-oceanic comparison of planktonic copepod ecology (vertical distribution, abundance, community structure, population structure and body size) between the Okhotsk Sea and Oyashio region in autumn
Figure 1. Location of the sampling stations in the Okhotsk Sea and Oyashio region from September to December in 1996–1998. ○: closing net sampling, ●: closing net and IONESS sampling.
Figure 3 in Spatiotemporal distribution of planktonic copepod communities in Tokyo Bay where Oithona davisae Ferrari and Orsi dominated in mid-1980s
Figure 3. Horizontal distribution of total copepod abundance (including immature copepodids), numerical composition of copepod species, number of species and diversity index (H′) in Tokyo Bay.
Figure 8 in Spatiotemporal distribution of planktonic copepod communities in Tokyo Bay where Oithona davisae Ferrari and Orsi dominated in mid-1980s
Figure 8. Comparison of July's copepod abundance including immature copepodids in Tokyo Bay between 1948 and 1986.
Figure 4 in Spatiotemporal distribution of planktonic copepod communities in Tokyo Bay where Oithona davisae Ferrari and Orsi dominated in mid-1980s
Figure 4. Grouping results for adult copepod community in Tokyo Bay by a cluster dendrogram. Letters and numerals near symbols indicate sample name (month–station no.).
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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.