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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.
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.
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.
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.
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
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").
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.
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
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
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
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
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).
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.
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).
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).
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.
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.
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.
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).
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
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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)
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DANDI Archive for NWB datasets
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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.