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Figure 1 in From leaves to inflorescences: Gall induction of Iatrophobia brasiliensis Rübsaamen, 1915 on inflorescences of Manihot caerulescens Pohl (Euphorbiaceae) during the dry season
Figure 1 Galls induced by I. brasiliensis on M.caerulescens (a) galls on the stem; (b) galls on the leaves and (c-d) galls on the inflorescences found in the Serra da Bandeira, Barreiras, Bahia, Brazil.
Figure 5 in Diel and seasonal activity of ground dwelling spiders (Araneae) in a sandy grassland habitat
Figure 5. Seasonal changes in the number of spider species dominating in the sandy grassland habitat (average of two years of research ± SE).
Figure 3 in Diel and seasonal activity of ground dwelling spiders (Araneae) in a sandy grassland habitat
Figure 3. Seasonal dynamics of the number of spiders from particular families (Roman numerals represent months, while Arabic numerals are the subsequent weeks of the month).
Figure 4 in Diel and seasonal activity of ground dwelling spiders (Araneae) in a sandy grassland habitat
Figure 4. Seasonal changes in the diel activity of dominant spider species in the sandy grassland habitat.
Figure 4 in Seasonal variation and taxonomic composition of mesozooplankton in the southern Black Sea (off Sinop) between 2005 and 2009
Figure 4. Percentage composition of the main mesozooplankton groups in terms of abundance and biomass off Sinop for 2005–2009.
Figure 2 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 2. Map of Iran and location of the study area (Golil-Sarany, the protected rangeland) along with the IRS-P6 LISS III satellite image of the area.
Figure 1 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 1. Map of Iran. a) Map of Iranian provinces, b) Study area indicated by arrow (North Khorasan province).
Figure 8 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 8. Density of dominant Ceratophysella gibbosa in different ecosystems over the study period (2018–2019).
Figure 3 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 3. Climatogram (monthly measurements of temperature and precipitation) of the study area, Shirvan, based on the data obtained from the Meteorological Station of Shirvan over the period 2004–2014.
Figure 5 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 5. Nonmetric multidimensional scaling (nMDS) plot. Resemblance pattern of soil Collembolan fauna in three ecosystems, using total density of each taxon. Groups are delineated according to the results of the cluster analysis.
Fig. 7 in Temporal dynamics of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in two habitats in a seasonal Brazilian environment
Fig. 7. Non-metric multidimensional scaling based on the Nymphalidae species composition captured in 4 climatic periods—wet (dark blue), dry (red), transition from wet to dry (T.wd, light blue), and transition from dry to wet (T.dw, black)—in 2 habitats, savanna (S) and gallery forest (F) in the Fazenda Água Limpa and the Reserva Ecológica do Roncador, Brasília, DF. A.dem, Archeoprepona demophon; M.hel, Morpho helenor; and P.pol, Pariphthimoides poltys best characterize the T.dw, whereas C.aco, Catonephele acontius; P.oci, Pareupthichia ocirrhoe; and T.lao, Temenis laothoe best characterize the T.wd. Stress: 0.15.
Fig. 6 in Temporal dynamics of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in two habitats in a seasonal Brazilian environment
Fig. 6. Pielou's evenness values of the Nymphalidae species in the dry and wet seasons and in the transitional periods between these 2 seasons,from wet to dry (T.wd) and from dry to wet (T.dw), in savanna (Cerrado sensu stricto, ss) and forest (gallery forest) habitats in the Fazenda Água Limpa and the Reserva Ecológica do Roncador, Brasília, DF. Different lowercase letters represent significant differences (P <0.05).
Fig. 4. A in Temporal dynamics of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in two habitats in a seasonal Brazilian environment
Fig. 4. A) Temporal variation in Nymphalidae abundance captured in the dry and wet seasons and in the 2 transitional periods between those seasons, from wet to dry (T.wd) and from dry to wet (T.dw), in savanna (Cerrado sensu stricto, ss) and forest (gallery forest) habitats of the Fazenda Água Limpa and the Reserva Ecológica do Roncador, Brasília, DF. The box plots show the differences between the 4 climatic periods, considering B) the total butterfly abundance (gallery forest + savanna), and that C) in the gallery forest and D) in the savanna separately. Different lowercase letters represent significant differences (P <0.05).
Fig. 3 in Temporal dynamics of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in two habitats in a seasonal Brazilian environment
Fig. 3. Circular analysis of the number of individuals reflecting the abundance of the different Nymphalidae subfamilies and tribes captured from Jul 2012 to Jun 2013 in the Fazenda Água Limpa and Reserva Ecológica do Roncador. In this analysis, each column's length represents the observed abundance and the arrow the tendency of the highest abundance.
Fig. 2 in Temporal dynamics of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in two habitats in a seasonal Brazilian environment
Fig. 2. Circular analysis of the number of individuals reflecting the abundance of Nymphalidae captured from Jul 2012 to Jun 2013 in the Fazenda Água Limpa and Reserva Ecológica do Roncador. In this analysis, each column's length represents the observed abundance and the arrow the tendency of the highest abundance.
Fig. 1. Rarefaction curves, generated with 1,000 in Temporal dynamics of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in two habitats in a seasonal Brazilian environment
Fig. 1. Rarefaction curves, generated with 1,000 randomizations without replacement, based on the MauTau (Sobs, black circles) and "total" estimated (Jackknife 1, gray circles) values. The data of Nymphalidae species richness was acquired from Jul 2012 to Jun 2013 in the Fazenda Água Limpa and the Reserva Ecológica do Roncador, Brasilia, DF.
Figure 6 in Comparison of microplankton heterotrophic-photoautotrophic balance based on the content of ATP and chlorophyll a in the plankton of the northern area of the Black Sea during the autumn and spring seasons
Figure 6. Distribution of microplankton HPI in the photic zone of the Crimean coastal waters and deep-water northern part of the Black Sea at April 2017.
Figure 4 in Comparison of microplankton heterotrophic-photoautotrophic balance based on the content of ATP and chlorophyll a in the plankton of the northern area of the Black Sea during the autumn and spring seasons
Figure 4. Distribution of microplankton HPI in the photic zone of the Crimean coastal waters and deep-water northern part of the Black Sea at October 2016.
Figure 3 in Comparison of microplankton heterotrophic-photoautotrophic balance based on the content of ATP and chlorophyll a in the plankton of the northern area of the Black Sea during the autumn and spring seasons
Figure 3. Distribution of microplankton HPI in the surface waters of the Crimean coastal waters and deep-water northern part of the Black Sea at October 2016.
Figure 1 in Comparison of microplankton heterotrophic-photoautotrophic balance based on the content of ATP and chlorophyll a in the plankton of the northern area of the Black Sea during the autumn and spring seasons
Figure 1. Distribution of microplankton chlorophyll a and ATP concentrations in the Crimean coastal waters and deepwaternorthern part of the Black Sea at October 2016.
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.