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450 results for “Spatio-temporal”
Figure 15 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 15. Features of intense bloom of cyanobacteria in the South Caspian in a Suomi NPP VIIRS true color image of July 29, 2018.
Figure 13 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 13. Features of intense bloom of cyanobacteria in the South Caspian in 2017 in Aqua MODIS true color images of: July 23 in the southeastern part (a); August 3 in the southern part (b); August 8 - a merged structure along the entire southern coast (c). Map of Chl-a concentration (d) is drawn from Aqua MODIS data of August 8
Figure 12 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 12. Features of intense phytoplankton bloom in the South Caspian in 2010 in Aqua MODIS true color images of July 13 (a) and August 4 (b)
Figure 8 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 8. Features of intense phytoplankton bloom in the South Caspian in 2001 in true color Terra MODIS images: in the initial period, on July 14 (a), arrows indicate the bloom area; at the peak of the bloom, on July 25 (b).
Figure 9 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 9. Features of various stages of intense cyanobacteria bloom in the South Caspian in August-September 2005 in Aqua MODIS true color images of: August 14 (a); August 24 (b); September 1 (c); September 16 (e). Map of Chl-a concentration of September 1 (d) is taken from (Soloviev 2005).
Figure 7 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 7. Schematic map of intense phytoplankton bloom areas in 2022 (green contours), built from daily Aqua MODIS data in the See the Sea information system.
Figure 11 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 11. Features of intense bloom of cyanobacteria in the South Caspian in Aqua MODIS true color image of August 20, 2009.
Figure 4 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 4. Annual maximum, mean and minimum Chl-a concentrations for the North Caspian (a), Middle Caspian (b), South Caspian (c) in the period from July 2002 to December 2022, from Aqua MODIS data.
Figure 6 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 6. Features of coastal current, vortex structures and jets along the western coast of the Caspian Sea in an Aqua MODIS image of July 26, 2022. The tracer is Chl-a of high concentration.
Figure 2 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 2. Features of various types of algae in the Middle Caspian in a true color image of Landsat-8 OLI of August 6, 2017. (©OceanColor Web).
Figure 3 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 3. Average monthly values of Chl-a concentration for the North Caspian (a,b), Middle Caspian (c,d) and South Caspian (e,f) in the period from July 2002 to December 2022, from Aqua MODIS data.
Fig. 5 in Spatio-temporal distribution of Anastrepha fraterculus and Ceratitis capitata (Diptera: Tephritidae) captures and their relationship with fruit infestation in farms with a diversity of hosts
Fig. 5. Fruit infestation and population fluctuation of Anastrepha fraterculus in (A) pears, (B) peaches, and (C) mandarins. Cn = Canelones, Py = Paysandú; FTD = flies per trap per d; Af = Anastrepha fraterculus.
Fig. 6 in Spatio-temporal distribution of Anastrepha fraterculus and Ceratitis capitata (Diptera: Tephritidae) captures and their relationship with fruit infestation in farms with a diversity of hosts
Fig. 6. Population fluctuation of Ceratitis capitata males (M) in Jackson traps (Cc) and females (H) in McPhail traps. A, B, C, D = cultivars where fruit infestation was recorded (A, B = Canelones; C, D = Paysandú); E, F, G, H = cultivars where no fruit infestation was recorded (E, F = Paysandú; G, H = San José).
Fig. 4 in Spatio-temporal distribution of Anastrepha fraterculus and Ceratitis capitata (Diptera: Tephritidae) captures and their relationship with fruit infestation in farms with a diversity of hosts
Fig. 4. Population fluctuation of Ceratitis capitata registered in McPhail traps in mandarins (A) with fruit infestation and (B) without fruit infestation. Py = Paysandú, SJ = San José, W = Washington; FTD: flies per trap per d; Cc = Ceratitis capitata.
Fig. 3 in Spatio-temporal distribution of Anastrepha fraterculus and Ceratitis capitata (Diptera: Tephritidae) captures and their relationship with fruit infestation in farms with a diversity of hosts
Fig. 3. Fruit infestation and population fluctuation of Ceratitis capitata registered in McPhail traps in (A) pears and (B) peaches. Cn = Canelones, SJ = San José; FTD = flies per trap per d; Cc = Ceratitis capitata.
Fig. 2 in Spatio-temporal distribution of Anastrepha fraterculus and Ceratitis capitata (Diptera: Tephritidae) captures and their relationship with fruit infestation in farms with a diversity of hosts
Fig. 2. Spatial distribution of accumulated captures and fruit infestation of Ceratitis capitata and Anastrepha fraterculus during the 2014–2015 and 2015–2016 seasons. Ap = Apple: ERO = Early Red One, RCh = Red Chief, RD = Red Delicious; Pch = Peach: JG = June Gold, EL = Elegant Lady, RM = Rey del Monte, PC = Pavía Canario, F = Forastero; Nc = Nectarine: L = Lara, F = Fantasía; Pr = Pear: W = William's; Mn = Mandarin: E = Elenadalle, O = Ortanique, S = Satsuma; Or = Orange: V = Valencia, WN = Washington Navel; Gf = Grapefruit: SR = Star Rubí. Cc = C. capitata, Af = A. fraterculus. The accumulated captures per season were calculated by adding captures from the date that traps were installed (1 Sep, 30 Oct, and 1 Nov 2014 in San José, Canelones, and Paysandú, respectively) until 30 Jun 2015, and for the same period from spring 2015 until Jun 2016.
Fig. 1 in Spatio-temporal distribution of Anastrepha fraterculus and Ceratitis capitata (Diptera: Tephritidae) captures and their relationship with fruit infestation in farms with a diversity of hosts
Fig. 1. Average number of fruit flies per McPhail trap per d (FTD) of Ceratitis capitata (Cc) and Anastrepha fraterculus (Af) in Paysandú (Py) and Canelones (Cn).
Fig. 10 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 10. Lower/higher (L/H) latitude taxa ratio and quantitative stratigraphic distribution of planktic foraminiferal genera across the Danian–Selandian transition at Caravaca. Asterisks indicate climate warming events identified here.
Fig. 9 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 9. Cluster analyses based on Morisita's index for relative abundance data of species from Caravaca in the Acarinina uncinata Zone (4a) and in the Morozovella cf. albeari Zone (4b); l1 = Simpson's diversity index in sample j; l2 = Simpson's diversity index in sample k; xij = percentage of species i in sample j; xik = percentage of species i in sample k.
Fig. 2 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 2. Comparison of some planktic foraminiferal zonations proposed for the D–S transition in low and middle latitudes. Correlation with the chronostratigraphic and magnetostratigraphic scales based on data from the Zumaia stratotype. (*) Probable biostratigraphic position of the base of the Igorina pusilla Zone by Toumarkine and Luterbacher (1985), and Canudo and Molina (1992), based on data from Zumaia. (**) Biostratigraphic position of the P3a/P3b boundary by Berggren and Pearson (2005), assuming that their species concept of I. albeari includes Morozovella crosswicksensis by Blow (1979) and Arenillas and Molina (1997) and/or M. cf. albeari by Arenillas et al. (2008). FOD, first occurrence data; L/H, lower/higher latitude, LOD, last occurence data.
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.