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256 results for “Forest Ecology”
Figure 5 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 5. Showing the relative density of Ctenolepisma (C.) udumalpetense (Male, Female, Nymph) in each month in the forest floor of Trimurti Dam roadside, Tamil Nadu.
Figure 4 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 4. Showing the relative density of Ctenolepisma (C.) udumalpetense (Male, Female, Nymph) in each row in the forest floor of Trimurti Dam roadside, Tamil Nadu.
Figure 7 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 7. Showing the month wise mean density of male, female and nymph population of Ctenolepisma (C.) udumalpetense.
Figure 9 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 9. Showing the month wise vertical distribution of adult Ctenolepisma (C.) udumalpetense population.
Figure 16 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 16. Showing the monthly fluctuations of total population and humidity(%) in Rows I, II and III.
Figure 12 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 12. Showing the monthly fluctuations of male, female and nymph population, temperature and humidity in Row I.
Figure 32 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 32. Monthly changes in biomass (mg dry wt./m2) of male, female and nymph population of C. udumalpetense.
Figure 1 in A first ecological description of the lichen-clad larva of Eublemmistis chlorozonea Hampson, 1902 (Lepidoptera: Erebidae) from a southern Afrotemperate forest
Figure 1 – Adult records of Eublemmistis in the southern African region. Red squares: E. chlorozonea. Blue squares: E. aberfoylea.
Figure 5 in A first ecological description of the lichen-clad larva of Eublemmistis chlorozonea Hampson, 1902 (Lepidoptera: Erebidae) from a southern Afrotemperate forest
Figure 5 – Cocoons found dangling from the bark of trees, attached by a silky, lichen covered thread.
Figure 4 in A first ecological description of the lichen-clad larva of Eublemmistis chlorozonea Hampson, 1902 (Lepidoptera: Erebidae) from a southern Afrotemperate forest
Figure 4 – Examples of a larva partially covered by lichen fragments (left), and one completely covered (right).
Figure 3 in A first ecological description of the lichen-clad larva of Eublemmistis chlorozonea Hampson, 1902 (Lepidoptera: Erebidae) from a southern Afrotemperate forest
Figure 3 – Larvae typically restrict themselves to the lichen-clad parts of various tree species: Podocarpus latifolius (left) and Curtisia dentata (right).
Figure 2 in A first ecological description of the lichen-clad larva of Eublemmistis chlorozonea Hampson, 1902 (Lepidoptera: Erebidae) from a southern Afrotemperate forest
Figure 2 – Distribution of Eublemmistis chlorozonea observations over a 24-month period (August 2021–August 2023) in the southern Cape, South Africa (Google Earth 2023). George can be seen to the western part of the map and Knysna to the south-eastern part. Observation 20, near the Woodville big tree, was made by the last author (HSS) on the 26th of December 2013. On the insert are observations 1, 2, 3, 4, 5, 12, 14, 15, 16, 17, and 18 from Saasveld forest.
Fig. 8 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 8. Classification tree model computed from the morphometric characters of complete specimen data (with carapace sculpturing). A binary decision is made at each node, where 'true' for the node description lead to branch at left and 'false' to right. Probability of correct prediction ('recall') at each terminal node ('leaf') is also shown.
Fig. 7 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 7. Light and scanning electron micrograph of cyprids of: A, B, Amphibalanus reticulatus; C, OTU 2; D, Amphibalanus amphitrite; and E, OTU 1. Carapace sculpturing were absent in this group of cyprids.
Fig. 9 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 9. Composition of barnacle cyprid diversity at different stations and different year of collection.
Fig. 6 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 6. Light and scanning electron micrograph of cyprids of: A–H, Amphibalanus variegatus; and I–L, Euraphia withersi. Details of specific carapace sculpturing patterns in each species are shown at higher magnification. 6I, E. withersi has reddish pigments around the carapace (arrows) and a dark rounded pigmentation spot (circled).
Fig. 5 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 5. Light and scanning electron micrograph of cyprids of: A–D, Fistulobalanus sp.; and E–J, Fistulobalanus patellaris. Details of specific carapace sculpturing patterns in each species are shown at higher magnification.
Fig. 2 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 2. Lateral view of cyris larvae of barnacle showing measurements used for morphometric analysis. CL: carapace length; CH: carapace height; A: posterior carapace angle. Ratio of CL/CH was also calculated.
Fig. 1 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 1. Map of sampling locations at Matang Mangrove Forest Reserve (MMFR) in Perak, Malaysia. Sampling was carried out in April 2011 at sites 1–8 and in June 2012 at sites 9–14.
Fig. 4 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 4. Histogram showing variations of pair-wise genetic distances computed from 12S-rRNA gene fragment sequences using Kimura 2-parameter model. Note the distribution of within-species variations does not overlap with that of inter-species variation.
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.