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Figure 5 in The impact of wildfires on the Lake Skadar/Shkodra environment
Figure 5. The suspended particulate matter oncentration (SPM, g/m3) in Lake Šas on (a) 11 September 2020, 09:40 GMT, MSI Sentinel-2B; (b) 13 September 2020, 09:30 GMT, MSI Sentinel-2A; (c) 21 September 2020, 09:40 GMT, MSI Sentinel-2B; (d) 8 October 2020, 09:30 GMT, MSI Sentinel-2B. The River Bojana/Buna passes in the southeastern corner of the frame.
Figure 7 in The impact of wildfires on the Lake Skadar/Shkodra environment
Figure 7. Burnt areas (brown patches) resulted from wildfires northwestward of Lake Skadar/Shkodra are shown for (a) 29 August, (b) 13 September and (c) 21 September 2020 (MSI Sentinel-2). Yellow arrows show zoom on three selected areas marked by yellow squares.
Figure 6. The Chlorophyll-a in The impact of wildfires on the Lake Skadar/Shkodra environment
Figure 6. The Chlorophyll-a concentration (Chla, mg/m3) in Lake Šas on (a) 11 September 2020, 09:40 GMT, MSI Sentinel-2B; (b) 13 September 2020, 09:30 GMT, MSI Sentinel-2A; (c) 21 September 2020, 09:40 GMT, MSI Sentinel- 2B; (d) 8 October 2020, 09:30 GMT, MSI Sentinel-2B. The River Bojana/Buna passes in the southeastern corner of the frame.
Figure 1 in The impact of wildfires on the Lake Skadar/Shkodra environment
Figure 1. Satellite image (OLI Landsat-8) of Lake Skadar/Shkodra area on 20 September 2020. Red squares show two areas (the northern and southern) of special interest of the impact of wildfires (white smokes) on the environment. Small red square shows location of Lake Šas.
Figure 2 in The impact of wildfires on the Lake Skadar/Shkodra environment
Figure 2. The true color satellite imagery of Lake Skadar/Shkodra environment on (a) 11 September 2020, 09:40 GMT, MSI Sentinel-2B; (b) 16 September 2020, 09:40 GMT, MSI Sentinel-2A; (c) 21 September 2020, 09:40 GMT, MSI Sentinel-2B; (d) 8 October 2020, 09:30 GMT, MSI Sentinel-2B.
Figure 5 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 5. Odonata specimens from geothermal habitats of the Kunashir Island [RMBH]. (A) Mnais costalis, male, 29.vii.2011. (B) M. costalis, male, 29.vii.2011. (C) Anotogaster sieboldii, male, 26.vii.2011. (D) A. sieboldii, female, 24.vii.2011. (E) Orthetrum melania, male, 29.vii.2011. (F) O. melania, female, 29.vii.2011. (G) Sympetrum pedemontanum elatum, male, 26.vii.2011. (H) S. pedemontanum elatum, female, 24.vii.2011. Corresponding labels are presented below each specimen. (Photos: Yu. S. Kolosova).
Figure 4 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 4. Habitats, exuvium, and larva of Odonata in geothermal areas of the Kamchatka Peninsula. (A) Warm pool near the Karymshinsky hot springs, 12 June 2013. (B) Exuvium of Libellula quadrimaculata on the shore of this pool. (C) Lakelet Medvezhie in the Valley of Geysers, 13 August 2014. (D) Larva of Aeshna juncea collected from this lakelet. Scale bar = 2 mm. (Photos: O. V. Aksenova).
Figure 2. Hot spring habitats and a in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 2. Hot spring habitats and a live dragonfly on the Kunashir Island. (A) Neskuchensky hot springs, a habitat of Sympetrum pedemontanum elatum, Anotogaster sieboldii, and Orthetrum melania, 26 July 2011. (B) Stolbovsky hot springs, a habitat of Mnais costalis, Anotogaster sieboldii, and Orthetrum melania, 29 July 2011. (C) Male of Orthetrum melania near the Neskuchensky hot springs, 26 July 2011. (Photos: Yu. S. Kolosova [A, C] and O. V. Aksenova [B]).
Figure 1 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 1. Map of sampling localities of Odonata in eastern Russia: Stolbovsky hot springs (1); Neskuchensky hot springs (2); Karymshinsky hot springs (3); and the Valley of Geysers (4).
Figure 3 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 3. Microhabitats in the Neskuchensky hot springs, Kunashir Island, and Odonata larvae collected from this geothermal source. (A) Scheme of microhabitats within the geothermal system with water and ground temperature measurements during the period of 24-26 July 2011 (before heavy monsoon rainfalls). The black symbols indicate collecting sites of Anotogaster sieboldii (circles) and Sympetrum pedemontanum elatum (squares) larvae. The color arrows indicate the oviposion sites of A. sieboldii before (green) and after (red) heavy monsoon rainfalls. (B) Larvae of Anotogaster sieboldii, 26 July 2011. Scale bar = 2 mm. (C) Larvae of Sympetrum pedemontanum elatum, 26 July 2011. Scale bar = 2 mm. (Photos: O. V. Aksenova).
Figure 3 in Gastropod assemblages in the harsh environment of Mediterranean Dinaric karst intermittent rivers
Figure 3. Redundancy analysis (RDA) ordination biplot showing the relationships between freshwater gastropods (blue arrow symbols) and environmental variables (red arrow symbols) in four intermittent rivers in the Mediterranean, Croatia. Environmental variables: Water temperature (°C); Concentration of dissolved oxygen in water (O mg L−1); pH; Conductivity (μS cm−1); Water velocity (m s−1); Concentration of ortho-phosphates in 2 water (mg P L−1), Chemical oxygen demand (mg O L-1), Alkalinity (mg CaCO L-1).
Figure 2 in Gastropod assemblages in the harsh environment of Mediterranean Dinaric karst intermittent rivers
Figure 2. Freshwater gastropod assemblage metrics in four intermittent rivers in the Mediterranean, Croatia: a) taxa richness and b) log-transformed abundance shown as mean with standard deviation (SD).
Figure 1 in Gastropod assemblages in the harsh environment of Mediterranean Dinaric karst intermittent rivers
Figure 1. Map of the study area with photographs showing the examples of sampling sites at the four studied Mediterranean intermittent karst rivers, Croatia.
Figure 8 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 8. Relationships between values of distribution coefficients (Kd Shell/Water Zn (A), Kd Shell/Water Sr (B) and Kd Shell/Water Al (C)) and principal component 1, revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 6. Normed PCA factorial graph F1 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 6. Normed PCA factorial graph F1 × F2 of two revealed geographical groups of Beringiana beringiana samples (blue circles indicate samples from Primorsky Krai, Kunashir, Sakhalin, and Iturup islands; red circles indicate samples from Kamchatka Peninsula). Ellipses show 95 % confidence interval.
Figure 5 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 5. Relationships between Kd Shell/Sediment Al and Kd Shell/Water Al: (1) Peschanoye Lake, Kunashir Island, (2) Bolshoye Vavayskoye Lake, Sakhalin Island, (3) Vaskovskoye Lake, Primorsky Krai, (4) Lebedinoe Lake, Iturup Island, (5) Kurazhechnoye Lake, Kamchatka Peninsula, (6) Khalaktyrskoye Lake, Kamchatka Peninsula, (7) Chernoye Lake, Sakhalin Island.
Figure 4 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 4. Median joining networks of Beringiana beringiana (N = 50) based on the COI gene fragment. The circle size is proportional to the number of available sequences belonging to the given haplotype (the smallest = 1 sequence). The red numbers near branches indicate the number of nucleotide substitutions between haplotypes.
Figure 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 2. Shells of Beringiana beringiana specimens, collected from studied waterbodies: A – Kurazhechnoye Lake, Kamchatka Peninsula (voucher number RMBH biv1212/2), B – Vaskovskoye Lake, Primorsky Krai (RMBH biv1181/1), C – Lebedinoye Lake, Iturup Island (RMBH biv1254/2), D – Bolshoye Vavayskoye Lake, Sakhalin Island (RMBH biv1250/1), E - Peschanoye Lake, Kunashir Island (RMBH biv1251/1), F – Khalaktyrskoye Lake, Kamchatka Peninsula (RMBH biv1213/3). Scale bar = 50 mm.
Figure 1 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 1. Map of the studied region. Lakes: (1) Kurazhechnoye, Kamchatka Peninsula (n = 5), (2) Khalaktyrskoye, Kamchatka Peninsula (n = 5), (3) Lebedinoye, Iturup Island (n = 3), (4) Peschanoye, Kunashir Island (n = 3), (5) Chernoye, Sakhalin Island (n = 3), (6) Bolshoye Vavayskoye, Sakhalin Island (n = 3), (7) Vaskovskoye, Primorsky Krai (n = 3). n reveals the number of collected shells of Beringiana beringiana.
Figure 3. Principal components 1 and 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 3. Principal components 1 and 2 visualized by drawing synthetic outlines of extreme (±2SD) and mean shell shapes of Beringiana beringiana. The umbo position marked by star.
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.