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238 results for “temporal distribution”
Fig. 4 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 4: Two-dimensional redundancy analysis (RDA) ordination representing the spatial distribution of Gobius niger related to the predictor variables selected through the best linear models based on distance (DISTLM). SM: suspended matter.
Fig. 13 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 13: CCA triplot of Tetraodontidae species (A) abundance and (B) biomass; stations classified by the bottom depths, environmental parameters (see Appendix 1 for abbreviations) and the species (L sce = Lagocephalus sceleratus, L spa = Lagocephalus guentheri, L sue = Lagocephalus suezensis, T fla = Torquigener flavimaculosus, S pac = Sphoeroides pachygaster, and T spi = Tylerius spinosissimus).
Fig. 10 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 10: Length-weight relationships of males (blue), females (pink), and pooled data (red) of Lagocephalus suezensis.
Fig. 6 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 6: Distribution of (A) biomass, (B) abundance (circles square-rooted), and (C) percent sex composition of Lagocephalus suezensis in time (months) and space (regions and depths). Seasonal colors on the figures are: blue = May 2014, green = August 2014, red = October 2014, and magenta = February 2015. Colors for sex composition: females follow seasonal color scheme, males are black, and juveniles are white in seasons.
Fig. 9 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 9: Post-hoc test (least significant difference, LSD) in total length in cm of Lagocephalus suezensis among (A) regions, (B) seasons (1 = May, 2 = August, 3 = October, and 4 = February), (C) bottom depths, and (D) sex (F = female, M = male, NI = sex not identified, and J = juvenile). Circle = mean, horizontal bar = standard deviation, blue mark = to be tested among the regions, months, and depths, red = significantly different, gray = not significantly different between vertical discrete gray lines.
Fig. 7 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 7: Post-hoc test (least significant difference, LSD) of biomasses in kg/km2 of Lagocephalus suezensis among (A) regions, (B) seasons (1 = May, 2 = August, 3 = October, and 4 = February), and (C) bottom depths. Circle = mean, horizontal bar = standard deviation, blue mark = to be tested for biomasses among regions, months and depths, red = significant difference, gray = no significant difference between vertical discrete gray lines.
Fig. 12 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 12: Length-weight relationships of males (blue), females (pink), and unisex pooled data (red) of Torquigener flavimaculosus.
Fig. 4 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 4: Distribution of (A) biomass, (B) abundance (circles square-rooted), and (C) percent sex composition of Lagocephalus guentheri in time (months) and space (regions and depths). Seasonal colors on figures are: blue = May 2014, green = August 2014, red = October 2014, and magenta = February 2015. Colors for sex ratio: females follow seasonal color scheme, males are black, and juveniles are white in seasons.
Fig. 2 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 2: Distribution of (A) biomass, (B) abundance (circles square-rooted), and (C) percent sex ratio of Lagocephalus sceleratus in time (months) and space (regions and depths). Seasonal colors on the figures are: blue for May 2014, green for August 2014, red for October 2014, and magenta for February 2015. Colors for sex ratio: females follow seasonal color scheme, males are black, and juveniles are white in seasons.
Fig. 3 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 3: Length-weight relationships of males (blue), females (pink), and pooled data (red) of Lagocephalus sceleratus.
Fig. 8 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 8: Lagocephalus suezensis: (A) length-frequency histogram with solution of the KDF in a size class interval estimated by (B) COST function. Asterisk * = optimum length class interval in cm.
Fig. 1 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 1: Study area in red frame with track lines of towing transects by season. (blue = May 2014, green = August 2014, red = October 2014, magenta = February 2015). Standard depths are ordered from shallowest to deepest bottom depth from the coast to open water seaward of each region (R1-R3).
Fig. 5 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 5: Length-weight relationships of males (blue), females (pink), and pooled data (red) of Lagocephalus guentheri.
Fig. 11 in Spatio-temporal distribution of pufferfish (Tetraodontidae) along the Turkish coast of the Mediterranean Sea Abstract
Fig. 11: Distribution of (A) biomass, (B) abundance (circles square-rooted), and (C) percent sex composition of Torquigener flavimaculosus in time (months) and space (regions and depths). Seasonal colors on the figures are: blue = May 2014, green = August 2014, red = October 2014, and magenta = February 2015. Colors for sex composition are: females follow seasonal color scheme, males = black, and juveniles = white in seasons.
Fig. 1. Circular Bayesian tree inferred from mtDNA cox-2 in Temporal stability of parasite distribution and genetic variability values of Contracaecum osculatum sp. D and C. osculatum sp. E (Nematoda: Anisakidae) from fish of the Ross Sea (Antarctica)
Fig. 1. Circular Bayesian tree inferred from mtDNA cox-2 sequences obtained from specimens of C. osculatum sp. D and C. osculatum sp. E analysed in the present study, based on Bayesian Inference (BI) method using MrBayes v3.2.2 (Ronquist et al., 2012). Evolutionary distance was estimated using the TrN + G (G = 0.60) substitution model as implemented in jModeltest (Posada, 2008), with the AIC approach (Posada and Buckley, 2004). Posterior probability values are the result of 1.000000 of runs and are reported at the nodes. The coloured icons correspond to the two species considered in this study (red = C. osculatum sp. D and blue = C. osculatum sp. E).
Fig. 2 in Temporal stability of parasite distribution and genetic variability values of Contracaecum osculatum sp. D and C. osculatum sp. E (Nematoda: Anisakidae) from fish of the Ross Sea (Antarctica)
Fig. 2. Schematic distribution of the fish species examined in the present study for larval of C. osculatum sp. D and C. osculatum sp. E, along the continental shelf of the Ross Sea coastal ecosystem. Arrows indicating preferred preys and the diet preference for each fish species are reported according to the literature (La Mesa et al., 2004). The represented pelagic organisms comprise species of euphausiids and fish juveniles, benthic and epibenthic organisms are polychaetes, amphipods, decapods and gastropods. A pie chart with the relative proportions of C. osculatum sp. D and C. osculatum sp. E is given for each fish species. Squares and circles represent the hypothetical distribution of C. osculatum sp. D and C. osculatum sp. E larvae in their intermediate hosts.
Fig. 3 in Temporal stability of parasite distribution and genetic variability values of Contracaecum osculatum sp. D and C. osculatum sp. E (Nematoda: Anisakidae) from fish of the Ross Sea (Antarctica)
Fig. 3. Schematic representation of the hypothetic life-cycle of C. osculatum sp. D (a) and C. osculatum sp. E (b) in the Ross Sea.
Data for "Temporally Variable Stream Width and Surface Area Distributions in a Headwater Catchment" by Barefoot et al.
<p>This repository holds data necessary for reproducing results from Barefoot et al. (in prep). The data is a record of high-resolution stream width measurements in Stony Creek, a headwater stream in North Carolina, USA. Included are:</p> <ul> <li>Width measurements for 13 surveys collected from 2015 to 2016. </li> <li>High-resolution discharge measurements of discharge collected over the same period.</li> <li>Data summarizing the topology of the drainage network during each survey.</li> <li>A 5-year record of discharge from the closest USGS gauge for historical flow characterization. </li> <li>Data for estimating measurement error. </li> <li>A summary table for drainage density during each survey as well as other summary statistics. </li> <li>Geographic data detailing the mapped stream locations. </li> </ul> <p>The records span a range of discharge conditions measured from summer 2015 to spring 2016. Other hydrological data for this catchment for a longer range of time is available by request from Dr. Margaret Zimmer and Dr. Brian McGlynn. </p> <p>Code for analyzing and reproducing these results can be found on Github at [insert link to repo here.]</p>
Figure 3 in Spatial and temporal distribution of aquatic insects in the Dicle (Tigris) River Basin, Turkey, with new records
Figure 3. Nanocladius spiniplenus, pupa: a- TII–IX, b- thoracic horn, c- precorneal setae, d- anal lobe with three macrosetae.
Figure 4 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 4. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of nymphs + adults in cotton between 55 (A) 70 (B), 77 (C), 84 (D), 91 (E) days after emergence (DAE) and Sum of all Evaluations (F). Low density is represented in green while red indicates high density of E. meditabunda.
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.