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428 results for “zooplankton”

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Fig. 2 in Dynamics And Factors Influencing Zooplankton In The Lakes Svente, Riča, Dridzis And Geraņimovas-Ilzas (Eastern Latvia)

Fig. 2. Redundancy analysis (RDA) ordination plot for zooplankton abundance from Lake Dridzis during the sampling period. Abbreviations: ORP- Oxidation-reduction potential; NTU- Turbidity.

opencc-by-4.0Dec 2020View details →
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Fig. 4 in Dynamics And Factors Influencing Zooplankton In The Lakes Svente, Riča, Dridzis And Geraņimovas-Ilzas (Eastern Latvia)

Fig. 4. Redundancy analysis (RDA) ordination plot for zooplankton abundance from Lake Geranimovas-Ilzas during the sampling period. Abbreviations: ORP- Oxidation-reduction potential.

opencc-by-4.0Dec 2020View details →
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Fig. 5 in Zooplankton Community Structure Of The Fish Farm Nagļi (Latvia)

Fig. 5. Mean (Zscore) of zooplankton taxa number, Shannon-Wiener index and total abundance in the ponds.

opencc-by-4.0Dec 2020View details →
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Fig. 3 in Dynamics And Factors Influencing Zooplankton In The Lakes Svente, Riča, Dridzis And Geraņimovas-Ilzas (Eastern Latvia)

Fig. 3. Redundancy analysis (RDA) ordination plot for zooplankton abundance from Lake Dridzis during the sampling period. Abbreviations: ORP- Oxidation-reduction potential; NTU- Turbidity.

opencc-by-4.0Dec 2020View details →
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Fig. 4 in Number And Dynamics Of Zooplankton Taxa In The Daugava River And Pļaviņas Reservoir

Fig. 4. Species abundance after Shannon-Wiener index. Research was supported by the national research programme "The influencing factors in large rivers that determine value and dynamic of Latvia's ecosystems under the number of zooplankton, in particular changing climate – EVIDEnT" Sub-project 4.6. crustaceans, is the river hydrology and predators Freshwater ecosystem services and biological (Baranyi et al. 2002, Basu & Pick 1996, Chang diversity. et al. 2001, Lair 2006, Saunders & Lewis 1988, Thorp & Casper 2003, Thorp & Mantovani 2005, Viroux 2002). REFERENCES

opencc-by-4.0Dec 2016View details →
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Fig. 1 in Seasonal Changes In Zooplankton Community Of The Daugava River

Fig. 1. Water discharge and level recorded dur- Fig. 2. Water temperature recorded during the ing the study period (according to information study period (according to information provided provided by the company "Latvian Environment, by the company "Latvian Environment, Geology Geology and Meteorology Centre"). and Meteorology Centre").

opencc-by-4.0Dec 2011View details →
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Fig. 3 in Seasonal Changes In Zooplankton Community Of The Daugava River

Fig. 3. Abundance of zooplankton taxonomic Fig. 5. The share (in percentage terms) of taxo- groups and Shannon-Wiener index in the Dau- nomic groups in the Daugava River zooplankton gava River during different seasons. abundance during different seasons.

opencc-by-4.0Dec 2011View details →
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Рис. 4. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г. Fig. 4. Distribution of zooplankton abundance and biomass in the hydrothermal zone of the Kharanor reservoir in July 2019 in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)

Рис. 4. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г. Fig. 4. Distribution of zooplankton abundance and biomass in the hydrothermal zone of the Kharanor reservoir in July 2019

opencc-by-4.0Dec 2020View details →
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Рис. 3. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)

Рис. 3. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания

opencc-by-4.0Dec 2020View details →
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Рис. 2. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г. Fig. 2. Distribution of zooplankton abundance and biomass in the hydrothermal zone of Lake Kenon in July 2019 in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)

Рис. 2. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г. Fig. 2. Distribution of zooplankton abundance and biomass in the hydrothermal zone of Lake Kenon in July 2019

opencc-by-4.0Dec 2020View details →
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Рис. 1. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания Fig. 1. Ecological and geographic characteristics of zooplankton in the hydrothermal zone of Lake Kenon in July 2019: А — zoogeography, Б — habitat, В — type of locomotion, Г — type of feeding in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)

Рис. 1. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания Fig. 1. Ecological and geographic characteristics of zooplankton in the hydrothermal zone of Lake Kenon in July 2019: А — zoogeography, Б — habitat, В — type of locomotion, Г — type of feeding

opencc-by-4.0Dec 2020View details →
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Figure 5 in Microbial control of live/dead zooplankton ratio in Sevastopol Bay

Figure 5. Bacterioplankton average annual (2010 - 2011) abundance (N), cell volume (V), biomass (B), intracellular nucleic acids (FL1) and integral metabolic activity (FL1 × N) (± 95% CI) at St. 1 (grey) and St. 2 (black). Significant differences are marked (* p <0.05, ** p <0.01).

opencc-by-4.0Jul 2017View details →
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Figure 7 in Microbial control of live/dead zooplankton ratio in Sevastopol Bay

Figure 7. Fraction of live organisms (FLO) as a function of the decomposition-to-mortality ratio (d/m) in the model under steady-state conditions (mortality and specific growth rates are balanced, µ = m) and projections of natural zooplankton communities (St. 1 and 2) onto the model curve.

opencc-by-4.0Jul 2017View details →
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Figure 1 in Microbial control of live/dead zooplankton ratio in Sevastopol Bay

Figure 1. Fluorescein diacetate- (FDA) and neutral red (NR) -based estimates of the average annual FLO in the open coastal waters (St. 1 in this study) and the polluted bay (St. 2 in this study) in 2010 – 2011. Calculated from the data presented in Litvinyuk et al. (2011).

opencc-by-4.0Jul 2017View details →
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Figure 6 in Microbial control of live/dead zooplankton ratio in Sevastopol Bay

Figure 6. Fraction of live organisms (FLO) in zooplankton versus bacterioplankton abundance (N). Data on FLO (2010-2011) are from Litvinyuk et al. (2011).

opencc-by-4.0Jul 2017View details →
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Figure 4 in Microbial control of live/dead zooplankton ratio in Sevastopol Bay

Figure 4. Initial bacterial abundances in the experiment (No, left plot) and frequency distribution of the copepod decomposition stages on the fourth day of exposition at St. 1 and 2 (right plot). Means and standard deviations are presented.

opencc-by-4.0Jul 2017View details →
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Figure 1 in Applicability of the vital dyes neutral red and fluorescein diacetate to differentiate between alive and dead non-copepod zooplankton

Figure 1. Intensity of staining of the Black Sea zooplankton with neutral red (NR) and fluorescein diacetate (FDA). 1 (FDA), 2 (NR) – Penilia avirostris; 3, 4 (FDA), 5, 6 (NR) – Pleopis polyphemoides; 7, 8 (FDA), 9 (NR) – Evadne spinifera; 10 (FDA), 11 (NR) – Pseudevadne tergestina; 12, 13 (FDA), 14, 15 (NR) – Cirripedia nauplii; 16 (NR), 17 (FDA) – Rotifera; 18, 19 (FDA), 20, 21 (NR) – Polychaeta larvae; 22, 23 (FDA), 24 (NR) – Decapoda larvae; 25 (NR), 26 (FDA) – Pisces ova; 27 (NR) – Pisces larvae; 28 (FDA), 29 (NR) – Parasagitta setosa; 30 (FDA), 31 (NR) – Oikopleura dioica; 32, 33 (FDA), 34 (NR) – Noctiluca sсintillans; 35 (NR) – Hydromedusae; 36 (NR), 37 (FDA) – Bivalvia larvae; 38, 41 (NR), 39, 40 (FDA) – Gastropoda larvae.

opencc-by-4.0Oct 2019View details →
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Fig. 1 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract

Fig. 1: Location of sampling stations along the western and eastern coasts of Djerba Island. The grey contour lines in the maps show the position of the isobaths and the numbers in parenthesis indicate the depths of these isobaths.

opencc-by-4.0Mar 2023View details →
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Fig. 1 in First study on the zooplankton of the Kerid (Kerið) Crater Lake, Iceland

Fig. 1. Kerid Crater Lake, South-western Iceland. Results The zooplankton of the Kerid Lake comprised 10 taxa, mostly belonging to the Rotifera phylum (Table 1). The highest were the densities of Keratella cf. americana Carlin, 1943, Lecane lunaris (Ehrenberg, 1832) and Colurella sulcata (Stenroos, 1898). Other frequent zooplankton taxa belong to lower crustaceans from Cladocera and Copepoda (Table 1). The most frequent of them were the juvenile specimens of Acanthocylops vernalis (s. lat.) (Fischer, 1853).

opencc-by-4.0Apr 2014View details →
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Рис. 2. Сезонная Αинамика чисΛенности и биомассы зоопΛанктона оз. Арейское в 2019– 2020 гг. Fig. 2. Seasonal dynamics of the zooplankton abundance and biomass in the Areiskoye Lake in 2019–2020 in Zooplankton of the Areiskoye Lake (Ingoda River basin, Trans-Baikal Territory)

Рис. 2. Сезонная Αинамика чисΛенности и биомассы зоопΛанктона оз. Арейское в 2019– 2020 гг. Fig. 2. Seasonal dynamics of the zooplankton abundance and biomass in the Areiskoye Lake in 2019–2020

opencc-by-4.0Dec 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record