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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.
Figure 4 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 4. NMDS (stress of 0.001) of the spatial distribution of the aquatic bird community recorded by the transect method in the lotic environments of the RPPN Foz do Aguapeí, during the dry (rounded symbols) and rainy seasons (square symbols). Legend: AR = Aguapeí River and CW = Constructed wetland.
Fig. 6 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 6: (Α) Cluster Analysis and (Β) Non-metric Multi-dimensional Scaling configuration (NMDS) on copepod's abundance data (50 μm net). The groups were delineated at a 60% similarity level (dashed line).
Fig. 2 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 2: Oithona davisae collected from Kavala's harbour A) dorsal view, B) side view, C) maxillule (scale 50 μm).
Fig. 3 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 3: Abundance (individuals m-3) of the zooplankton community, grouped by sampling stations, during the sampling period 2017-2018 in Kavala harbour.
Fig. 5 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 5: Abundances (ind m-3) (mean ± SD) of Oithona davisae and Oithona nana during the sampling period 2017-2018 in Kavala harbour.
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.
Data from: Temporal changes in taxonomic and functional alpha and beta diversity across tree communities in subtropical Atlantic forests
<h2><strong>The study is published in Oikos and available at: <a href="https://doi.org/10.1111/oik.10961">https://doi.org/10.1111/oik.10961</a></strong></h2> <p>Here we aim to assess temporal taxonomic and functional alpha and beta diversity of adult and juvenile tree communities across 11 sites in the subtropical Brazilian Atlantic Forest to infer about trends and drivers of biodiversity change. The tree communities were evaluated for temporal changes in: (1) taxonomic and functional alpha diversity, (2) taxonomic and functional composition (beta diversity), and (3) identifying potential abiotic and biotic drivers of these changes, considering three censuses across a period of 10 years.</p> <p> </p> <h2>Files description:</h2> <p><strong>traits-adults.csv</strong> - adult tree species and their functional traits values.</p> <p><strong>traits-juveniles.csv</strong> - juvenile tree species and their functional trait values.</p> <p><strong>abundance-adults_synthesis.csv</strong> - adult tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (<a href="https://forestplots.net/">https://forestplots.net/</a>) under request.</p> <p><strong>abundance-juveniles_synthesis.csv</strong> - juvenile tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (<a href="https://forestplots.net/">https://forestplots.net/</a>) under request.</p> <p>Functional traits abbreviations are defined as follows: LA = leaf area; SLA = specific leaf area; WD = wood density; SM = seed mass; range_temp = range of mean annual temperature; range_CWD = range of climatological water deficit; and biomes_distrib = number of Brazilian biomes that the species occur according to Flora and Funga do Brazil.</p> <p> </p> <h2><strong>Acknowledgments</strong></h2> <p>This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001, through Portal de Periódicos and scholarships granted to JMFK, JK and RCP. The fieldwork was supported by Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS grant numbers 2218 – 2551/12-2 and 19/2551-0001698-0), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq/FAPERGS/PELD number 441590/2020-9), and the Instituto Nacional de Ciência e Tecnologia (INCT) in Ecology, Evolution and Biodiversity Conservation, supported by MCTIC/CNPq (grant number 465610/2014-5). KMB gratefully acknowledge the financial support by the National Institute of Science and Technology in Low Carbon Emission Agriculture (INCT-ABC) sponsored by Brazil’s National Council for Scientific and Technological Development (CNPq, grant no. 406635/2022-6), the Foundation for Research Support of the State of Rio Grande do Sul (Fapergs, grant no. 22/2551-0000392-3), and the Ministry of Agriculture (MAPA). SCM is supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; grant number 309659/2019-1.</p> <p> </p> <h3><strong>Please find below the data used in the study.</strong></h3>
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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.