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Fig. 5 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 5: 1-3 Rugoglobigerina pennyi Brönnimann 1952, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12417; 4-6 Rugoglobigerina pustulata Brönnimann 1952, Maastrichtian, Țâța Valley, PietroȘița, L.P.B.IV.12415; 7-9 Rugoglobigerins kelleri (Subbotina 1953), Maastrichtian, Țâța Valley, PietroȘița, L.P.B.IV.12451; 10-12, 27-29 Rugoglobigerina macrocephala Brönnimann, Maastrichtian, Țâța Valley, PietroȘița, L.P.B.IV.12413; 13-15, 19-24 Rugotruncana ellissi Brönnimann & Brown 1955, Maastrichtian, Țâța Valley, PietroȘița, L.P.B.IV 12426; 16-18 Rugoglobigerina loetterli (Nauss 1947), Maestrichtian, Maastrichtian, Țâța Valley, PietroȘița, L.P.B.IV.12443; 15-27 Globotruncanella sarmientoi (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița LPB.12448 (All specimens x 90).
Fig. 16 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 16: 1-17 Abatomphalus pessagnoi (Longoria 1973), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12434; 18-20 Rugotruncana subbeldigi (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12452; 21-26 Rugotruncana subloetterli (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12423 (All specimens x 90).
Fig. 15 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 15: 1-3 Globigerinella glaessneri (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12418; 4-12 Rugotruncana subcircumnodifer (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12439; 13-24 Globotruncanella sarmientoi (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12448; 25-27 Rugoglobigerina kingi Trujillo 1960, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12450 (All specimens x 90).
Fig. 8 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 8: 1-3 Globotruncanella coarctata (Bolli 1957), Maastrichtian, Țâța Valley, PietroȘița, L.P.B.IV.12437; 4-6 Globigerinella glaessneri (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12418; 7-9 Archaeoglobigerina blowi Pessagno 1967, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12449; 10-12 Rugotruncana subpenny (Gandolfi l955), Maastrichtian, Țâța Valley, PietroȘița, L.P.B.IV.12426; 13-18 Rugoglobigerina kelleri (Subbotina 1953), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12451; 19-21 Rugotruncana tilevi Brönnimannn & Brown 1955, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12436; 22-27 Abatomphalus pessagnoi (Longoria 1973), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12434 (All specimens x 90).
Fig. 4 in Uppermost Cretaceous Calcareous Nannofossils In Red Pelagic Sediments (Romanian Carpathians)
Fig. 4 Positions of sections in the Romanian Carpathian bend region, i.e., between the Dâmbovița, Ialomița and Prahova river basins, where red beds of the Gura Beliei Formation occur (www.googlemaps).
Fig. 3 in Uppermost Cretaceous Calcareous Nannofossils In Red Pelagic Sediments (Romanian Carpathians)
Fig. 3 Photographs of the exposed sediments in the Pucheni section. a variegated marlstones and claystones of the Plaiu Formation; b red marlstones and claystones of the Gura Beliei Formation; c the shaly turbidites of the Pucheni Formation (top of the studied section).
Fig. 3 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 3. Calculated average altitude above sea level (points) with standard deviation (thicker grey line) of the main summer pasture area of six wild reindeer and two wild red deer populations in South Norway sampled for parasitological studies 2012–2014. The calculation was based upon GPS-positions recorded during June, July and August. The recorded min and max altitudes are indicated by the ends of the black line. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad.
Fig. 1 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 1. Map of South Norway showing the location of the 23 Norwegian wild tundra reindeer populations (No 1–23). The six populations included in the present study (No 1, 2, 6, 14, 19, 20) are marked with brighter tan. The location of two wild red deer municipalities studied (No 24, 25) are marked in green. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 5. Calculated mean temperature (̊C) and monthly rainfall (mm) for June–August at the average altitude of the main summer pasture areas for eight wild reindeer and red deer populations sampled for parasitological studies 2012–2014. The data represent the five summers prior to sampling. The range and average (horizontal bar) of mean monthly temperature (left y-axis) and rainfall (right y-axis) are shown by red and blue lines respectively. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 2. Example of Kernel Density Analysis, visualizing the main grazing area of radio-collared females in the wild reindeer population in Nordfjella during June, July and August. The darker the color, the larger number of GPS positions recorded. The outer limits of the area are marked with a dark line. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Rodent population cycle as a determinant of gastrointestinal nematode abundance in a low-arctic population of the red fox
Fig. 1. Map showing the sampling sites on Varanger peninsula in northern Norway. Red triangles denote the sites where the 612 red foxes included in the analyses were. sampled. White squares denote sites where rodents were trapped for the purpose of monitoring their population dynamics. Dark areas are sub-arctic birch forest, while areas with different shading of grey show tundra at different altitudes. The meteorological station from which the climate data were derived, is denoted with a blue star. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Rodent population cycle as a determinant of gastrointestinal nematode abundance in a low-arctic population of the red fox
Fig. 2. Time series of annual climate variables, rodent density and egg counts of gastrointestinal parasites (i.e. number of eggs recorded) in red foxes faeces in Varanger Peninsula. A) The mean summer temperature (̊C) for July, August and September from the weather station in Vardø (see Fig. 1). Horizontal broken lines show the 1960–1990 normal for temperature. B) Rodent density indexed as number of individuals caught per 100 trap nights in early September based on the trapping sites shown in Fig. 1 and number of foxes culled each winter season and local hunter (grey). Note that 2005 represents the foxes culled winter 2005–2006. C) Abundance (mean number of eggs per gram with standard error) of the three parasite species in the annual fox samples. Note the left (red) y-axis represents T. leonina while the right (black) y-axis represents T. canis and U. stenocephala. D) Prevalence (proportion of foxes with parasites, with standard error) of the three parasite species in the annual fox samples. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Figure 2 in Short Communication Occurrence of Northern Red Muntjak Muntiacus vaginalis from Southern West Bengal, India
Figure 2. (a)-(e) Northern Red Muntjak Muntiacus vaginalis from Jhalda Range of Purulia Forest division in Purulia District, South West Bengal, India.
Figure 1 in Short Communication Occurrence of Northern Red Muntjak Muntiacus vaginalis from Southern West Bengal, India
Figure 1. Land cover classification of the Purulia district of West Bengal, India along with the camera trap grids and the particular locations indicating the presence of Northern red muntjak Muntiacus vaginalis.
Figure 2 in Pets or predators? climate change and invasion risk of red-eared slider (Trachemys scripta elgans)
Figure 2. PCA-env for native and Indian climate for Trachemys scripta elegans. A) The green polygon represents nice unfilling, the blue polygon represents niche overlap, and the red polygon denotes nice expansion. The arrow indicates the niche centroid change. B) The correlation circle shows the relative contribution of different variables. C) and D) represent niche similarity and equivalency.
Figure 1 in Pets or predators? climate change and invasion risk of red-eared slider (Trachemys scripta elgans)
Figure 1. Predicted potential distribution of Trachemys scripta elegans under current and two future climate change scenarios.
Figure 3 in Pets or predators? climate change and invasion risk of red-eared slider (Trachemys scripta elgans)
Figure 3. Map showing species richness of native freshwater turtles at the sub-basin level in India.
Figure. PCA analysis based on GH-MspI, GH-AluI, PRL, and DGAT1 loci in Turkish native cattle breeds (Turkish Grey - TG, East Anatolian Red - EAR, Anatolian Black - AB, and South Anatolian Red - SAR). in Growth hormone (GH), prolactin (PRL), and diacylglycerol acyltransferase (DGAT1) gene polymorphisms in Turkish native cattle breeds
Figure. PCA analysis based on GH-MspI, GH-AluI, PRL, and DGAT1 loci in Turkish native cattle breeds (Turkish Grey - TG, East Anatolian Red - EAR, Anatolian Black - AB, and South Anatolian Red - SAR).
Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively. in Factors affecting the diet of the red fox (Vulpes vulpes) in a heterogeneous Mediterranean landscape
Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively.
Figure 3 in Effects of genetic relatedness, spatial distance, and context on intraspecific aggression in the red wood ant Formica pratensis (Hymenoptera: Formicidae)
Figure 3. Correlation between spatial distance and aggression levels in the field. Open circles correspond to monodomous colonies and filled circles correspond to the polydomous one.
ScienceDex guides
Understand access before you commit
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.