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Figura 3 in Variação temporal e espacial na dieta de Trachelyopterus galeatus (Siluriformes, Auchenipteridae) em dois reservatórios no semiárido Neotropical
Figura 3. RepresentaÇão dos dois primeiros eixos da NMDS, mostrando a variaÇão no consumo de recursos alimentares por Trachelyopterus galeatus (Linnaeus, 1766) nos reservatórios de Santa Cruz (A) (Eixo 1: 0,36 e Eixo 2: 0,22) e de Umari (B) (Eixo 1: 0,37 e Eixo 2: 0,30), Rio Grande do Norte, Brasil nos períodos de fevereiro …, maio {, agosto ' e novembro U de 2013.
Figs 3, 4 in Temporal variation in the spider assemblage (Arachnida, Araneae) in canopies of Callisthene fasciculata (Vochysiaceae) in the Brazilian Pantanal biome
Figs 3, 4. Comparison between abundance (3) and richness (4) of the assemblage of spiders in canopies of C. fasciculata between the different seasonal periods in the northern region of the Pantanal biome of Mato Grosso State, Brazil.
Fig 5 in Temporal variation in the spider assemblage (Arachnida, Araneae) in canopies of Callisthene fasciculata (Vochysiaceae) in the Brazilian Pantanal biome
Fig 5. Comparison between abundance of juveniles and adults (females and males) of spiders in canopies of C. fasciculata between the different seasonal periods in the northern region of the Pantanal biome of Mato Grosso State, Brazil (P 1, High water; P2, Receding water; P3, Dry season; P , Rising water; F, Females; M, Males; I, Immatures).
Fig. 7 in Variação temporal e espacial na dieta de Trachelyopterus galeatus (Siluriformes, Auchenipteridae) em dois reservatórios no semiárido Neotropical
Fig. 7. EsQuema dos arcos branQuiais de Trachelyopterus galeatus (Linnaeus, 1766) (A, rastros branQuiais; 2, filamentos branQuiais; B, estômago saciforme).
Fig. 6 in Temporal dynamics of the geographic differentiation of Late Devonian Palmatolepis assemblages in the Prototethys
Fig. 6. Size (estimated by the zeroth harmonic of a Fourier analysis of the platform outline) and shape variations of Palmatolepis (Manticolepis) through Coumiac (France), Mrirt (Morocco), Xom Nha (Vietnam) and Thong Pha Phum (Thailand). Shape is estimated by the score on PC1 (25.5%) and by the score on PC1sf (24.4%). The symbols represent the average value per level; error bars correspond to the 95% confidence interval. The grey beld corresponds to the Upper Kellwasser (UKW). Open symbols: Frasnian; grey and black symbols: Famennian; circles = Coumiac, squares = Mrirt, triangles = Xom Nha, diamond = Thong Pha Phum. Grey boxes = the 3 time−slices.
Fig. 1 in Temporal dynamics of the geographic differentiation of Late Devonian Palmatolepis assemblages in the Prototethys
Fig. 1. Palaeogeographic map of the Late Devonian showing the location of the sections considered in the present study (after Scotese and McKerrow 1990; Scotese and Golonka 1992). Circle = Coumiac Upper Quarry (France), square = Mrirt (Morocco), triangle = Xom Nha (Vietnam), diamond = Thong Pha Phum (Thailand).
Fig. 5 in Temporal dynamics of the geographic differentiation of Late Devonian Palmatolepis assemblages in the Prototethys
Fig. 5. Differences in size and shape variance through time and space. A. Size distribution of the Palmatolepis (Manticolepis) elements per geographical region and per time slice. Each dot corresponds to a value. Size is estimated by the zeroth harmonic of a Fourier analysis of the platform outline. B. Shape distribution, of the Palmatolepis (Manticolepis) elements per geographical region and per time slice. Shape is estimated by the scores on PC1. Each dot corresponds to a value. C. Distribution of the size−free shape, estimated by the scores on PC1sf, of the Palmatolepis (Manticolepis) elements per geographical region and per time slice. Each dot represents single specimen; the grey beld corresponds to the Upper Kellwasser (UKW). Abbreviations: M, mean (Kruskall−Wallis); V, variance (Levene test).
Fig. 2 in Temporal dynamics of the geographic differentiation of Late Devonian Palmatolepis assemblages in the Prototethys
Fig. 2. Stratigraphical logs of the four compared sections, Coumiac (France), Mrirt (Morocco), Xom Nha (Vietnam) and Thong Pha Phum (Thailand). The studied levels are marked by a black circle. In gray, the dysoxic Kellwasser (UKW = Upper Kellwasser). Pa., Palmatolepis.
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.
Fig. 3 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 3. Quantitative stratigraphic distribution of planktic foraminiferal species across the Danian–Selandian transition at Caravaca. The shown stratigraphic interval does not include the lower part of the A. uncinata Zone, where Globoconusa species were found (see Arenillas and Molina 1997).
Fig. 3 in A snapshot of climate drivers and temporal variation of Ixodes ovatus abundance from a giant panda living in the wild
Fig. 3. Boxplot of tick abundance, female-to-male ratio and important climate factors change by months. A: Tick daily abundance; B: Daily female-to-male ratio of ticks; C: Daily temperature; D: Daily air pressure. Variables sharing the same letters among months were not significantly different. The five-day-rolling average values were calculated for all the variables that change by months.
Fig. 6 in A snapshot of climate drivers and temporal variation of Ixodes ovatus abundance from a giant panda living in the wild
Fig. 6. Daily average tick abundance, daily average air pressure and daily average temperature with standard deviations by months. All the values are calculated with five-day-rolling average values.
Fig. 2. Ixodes. ovatus collected from the giant panda. A in A snapshot of climate drivers and temporal variation of Ixodes ovatus abundance from a giant panda living in the wild
Fig. 2. Ixodes. ovatus collected from the giant panda. A: Dorsal of the adult female I. ovatus; B: Ventral of the adult female I. ovatus; C: Dorsal of the adult male I. ovatus; D: Ventral of the adult male I. ovatus.
Fig. 5 in A snapshot of climate drivers and temporal variation of Ixodes ovatus abundance from a giant panda living in the wild
Fig. 5. The correlation plot of daily tick abundance and the daily air pressure with trending line. The five-day-rolling average values were calculated for tick abundance and the air pressure.
Fig. 1 in A snapshot of climate drivers and temporal variation of Ixodes ovatus abundance from a giant panda living in the wild
Fig. 1. Experimental site was located in Daxiangling Natural Reserve, which is a part of the Giant Panda National Park in China. The orange area indicates the range of the Giant Panda National Park. The blue star is the location of this experimental site. Continents outline maps by Vemaps.com. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in A snapshot of climate drivers and temporal variation of Ixodes ovatus abundance from a giant panda living in the wild
Fig. 4. The correlation plot of daily tick abundance and the daily temperature with the trending line. The five-day-rolling average values were calculated for tick abundance and temperature.
An in-situ daily dataset for benchmarking temporal variability of groundwater recharge
<p>A newly developed benchmark dataset of groundwater recharge per unit specific yield (RpSy, n meters) at daily temporal resolution is presented. The data has been obtained through the application of the Water table Fluctuation (WTF) method at groundwater wells within the continental US. To ensure high-fidelity estimates, only wells that meet a set of stringent criteria have been considered. The RpSy dataset may serve as a benchmark for validating the temporal consistency of recharge products and daily simulation results from land surface and integrated hydrologic models.</p> <p>The resulting product is a continuous daily RpSy (n meters) time series data for 485 groundwater wells. The data files are provided in the .csv format and consist of three columns for each observation well. The first column lists the local time, while the second and third columns provide the RpSy and RpSyu (considering a groundwater depth-dependent specific yield) time series in meters per day. Additionally, a file containing site information for all the selected wells is included. It contains four columns that detail the USGS ID of the groundwater well, its latitude (Lat), longitude (Long), and screen depth (depth, in meters). The data file can be accessed in most text editors and spreadsheets.</p>
FIGURE 1 in Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
FIGURE 1 | A. Map of the study area, nearshore waters in front of the Huizache-Caimanero estuarine system, located in the southeast Gulf of California, Sinaloa, Mexico. Sampling sites are indicated by black circles. B. Detail of the study area and sampling sites located in front of the Presidio River inlet.
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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.