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1,271 results for “tropical forest”
Figs. 5 and 6. Results from cluster and linkage tree analyses. Fig. 5 in Myrmecofauna (Hymenoptera: Formicidae) response to habitat characteristics of tropical montane cloud forests in central Veracruz, Mexico
Figs. 5 and 6. Results from cluster and linkage tree analyses. Fig. 5. Dendrogram of hierarchical standardized clustering based on the SØrensen similarity index of the studied fragments. The cophenetic correlation coefficient of the cluster is 0.89. The dendrogram displays with continuous lines the divisions for which the SIMPROF test rejects the null hypothesis (where assemblages in that group have no further structure to explore) and with dashed lines the groups of assemblages not separated (at P <0.05) by SIMPROF. Fig. 6. Linkage tree analysis (LINKTREE) showing divisive clustering of fragments (F1–F5) from species compositions constrained by inequalities on one or more environmental variables. Only binary partitions of uncorrelated environmental variables are shown in the cluster. The dendrogram displays with continuous lines the divisions for which the SIMPROF test rejects the null hypothesis (where assemblages in that group have no further structure to explore) and with dashed lines the groups of assemblages not separated (at P <0.05) by SIMPROF.
Fig. 1 in Myrmecofauna (Hymenoptera: Formicidae) response to habitat characteristics of tropical montane cloud forests in central Veracruz, Mexico
Fig. 1. Location of the study area in central Veracruz, Mexico. The black polygons indicate the selected fragments (F1–F5) of tropical montane cloud forest.
Soil microbial communities from tropical forest and oil palm
<div> <h1>Description</h1> <p>A study examining the impact of selective logging and forest conversion to oil palm on soil microbial community composition. Soil samples were collected from old growth forest, selectively logged forest and oil palm plantations. Soil bacterial, protistan and fungal community composition were measured and summarised by calculating richness. </p> <h1>Projects</h1> <p> This dataset was collected as part of the following projects: </p><ul> <li><a href="https://safeproject.net/projects/project_view/124">https://safeproject.net/projects/project_view/124</a> </li> </ul> <p></p> <h1>Funding</h1> <p> These data were collected as part of research funded by: </p> <ul> <li>UK NERC-funded Biodiversity And Land-use Impacts on Tropical Ecosystem Function (BALI) consortium (Standard grant , NE/K016377/1 ) </li> </ul> <p></p> <p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p> <h1>Permits</h1> <p>These data were collected under permit from the following authorities:</p> <ul> <li>Sabah Biodiversity Centre ( Research licence JKM/MBS.1000-2/2 JLD.5 (20))</li> <li>Sabah Biodiversity Centre ( Export licence JKM/MBS.1000-2/3 JLD.2 (70))</li> </ul> <p></p> <h1>Files</h1> <p>This dataset consists of 1 file: SAFE_Dataset_Richness.xlsx</p> <h2>SAFE_Dataset_Richness.xlsx</h2> <p>This file contains dataset metadata and 1 data tables:</p> <h3>Soil_Microbial_Communities</h3> <ul> <li>Worksheet: Soil_Microbial_Communities</li> <li>Description: Summary richness statistics from bacterial 16S, protistan 18S and fungal ITS biomarker microbial sequencing from DNA extracted from soils</li> <li>Number of fields: 10</li> <li>Number of data rows: 225</li> <ul> <li>PlotName: Plot name corresponding to the GEM Carbon plot where soils were sampled (type: id)</li> <li>ForestType: Old-growth, Logged or Oil palm (type: categorical)</li> <li>ForestPlotsCode: Plot name as listed in ForestPlots database (type: id)</li> <li>Replicate: replicate identifier for which soil core taken from each subplot (type: replicate)</li> <li>location_name: Name of subplot where soils were collected (type: location)</li> <li>Bacteria_Richness: Number of observed bacterial taxa from sequencing of 16S marker genes from soil samples (type: numeric)</li> <li>Protist_Richness: Number of observed protistan taxa from sequencing of 18S marker genes from soil samples (type: numeric)</li> <li>Fungal_Richness: Number of observed fungal taxa from sequencing of 16S marker genes from soil samples (type: numeric)</li> <li>EcM_Fungal_Richness: Number of observed Ectomycorrhizal fungal taxa from sequencing of ITS marker genes from soil samples (type: numeric)</li> <li>AMF_Fungal_Richness: Number of observed Arbuscular Mycorrhizal fungal taxa from sequencing of ITS marker genes from soil samples (type: numeric)</li> </ul> </ul> <h1>Extents</h1> <ul> <li>Date range: 2014-10-01 to 2018-09-01</li> <li>Latitudinal extent: 4.64° to 4.954°</li> <li>Longitudinal extent: 116.95° to 117.796°</li> </ul> </div>
Linked collectors and determiners for: Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Otonga.
Natural history specimen data linked to collectors and determiners held within, "Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Otonga". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/08a79618-374c-4014-9e71-3194ef3cf69a">https://bionomia.net/dataset/08a79618-374c-4014-9e71-3194ef3cf69a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/08a79618-374c-4014-9e71-3194ef3cf69a">https://gbif.org/dataset/08a79618-374c-4014-9e71-3194ef3cf69a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Bilsa.
Natural history specimen data linked to collectors and determiners held within, "Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Bilsa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0">https://bionomia.net/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0">https://gbif.org/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Croton sertanejus, a new species from Seasonally Dry Tropical Forest in Brazil, and redescription of C. echioides (Euphorbiaceae).
Natural history specimen data linked to collectors and determiners held within, "Croton sertanejus, a new species from Seasonally Dry Tropical Forest in Brazil, and redescription of C. echioides (Euphorbiaceae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/95293339-8775-4667-aa17-7639808b7a7d">https://bionomia.net/dataset/95293339-8775-4667-aa17-7639808b7a7d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/95293339-8775-4667-aa17-7639808b7a7d">https://gbif.org/dataset/95293339-8775-4667-aa17-7639808b7a7d</a>. Formatted as a Frictionless Data package.
Fig. 1 in Home range size and microhabitat selection by a tropical partridge species in moist evergreen forest
Fig. 1. Analysis of green-legged partridges' group range based on radio locations using the characteristic hull polygon (CHP) and minimum convex polygon (MCP; 100%, 95% and 50%) methods. F refers to females, and M refers to males.
Fig. 1 in Population Assessment Methods For The Sunda Colugo Galeopterus Variegatus (Mammalia: Dermoptera) In Tropical Forests And Their Viability In Singapore
Fig. 1. The detection probability function of the Fourier series model after removing the extreme 5% of observations.
Fig. 2 in Population Assessment Methods For The Sunda Colugo Galeopterus Variegatus (Mammalia: Dermoptera) In Tropical Forests And Their Viability In Singapore
Fig. 2. Map showing the separation between Bukit Timah Nature Reserve and Bukit Batok Nature Park (location with new sightings of Sunda Colugo).
Fig. A3 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A3. Map of the occurrences of Zonitoides arboreus s.l. and Zonitoides nitidus used for the calculation of climatic suitability for the 20 km grid resolution.
Fig. A4 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A4. Global climatic suitability for: (a) Zonitoides arboreus s.l.; and (b) Zonitoides nitidus based on Mahalanobis distances using the 20 km grid resolution. The higher the threshold, the more dissimilar are the climatic conditions to those of the majority of known occurrences, and>100% means that the climatic conditions are dissimilar to those of any other available record. Please note that the deserts of Africa, Arabia and Australia are unlikely places for a snail that inhabits (temperate) forests in its native range (Z. arboreus s.l.), and that the Great Lakes Region that seems well inhabited by Z. nitidus does not fully match its climate, what can only be explained from effects of averaging local climates at a larger grid scale.
Fig. A1 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A1. Map of the occurrences of Zonitoides arboreus s.l. used for the calculation of climatic suitability for the 10 km grid resolution.
Fig. 4 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. 4. Position of the new locations (L1 and L2, enumeration for each species separately) in Sabah in relation to the Mahalanobis distances of climatic variables for: (a) Zonitoides arboreus s.l., and (b) Z. nitidus. Record ID refers to the order of the data entry.
Fig. 2 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. 2. Global climatic suitability for (a) Zonitoides arboreus s.l. and (b) Zonitoides nitidus based on Mahalanobis distances from the 10 km grid resolution. The higher the threshold, the more dissimilar are the climatic conditions to those of the majority of known occurrences, and>100 % means that the climatic conditions are dissimilar to those of any other available record.
Fig. 1 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. 1. Estimation of the phylogenetic relationships of the COI barcoding sequence from the Zonitoides specimens and two outgroups (labeled with their BOLD or GenBank accession numbers) using the Maximum Likelihood method based on the Tamura-Nei model. The tree with the highest log likelihood (−2138.3583) is shown. Branch lengths equal genetic distances in terms of the number of base substitutions per site. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches. The tree was constructed in MEGA 6.0. Please note that the shell of (living) Z. nitidus is darkly pigmented, and that the extended animal of the depicted Z. nitidus started fading.
Fig. A2 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A2. Map of the occurrences of Zonitoides nitidus used for the calculation of climatic suitability for the 10 km grid resolution.
Figs. 2–5. Brazilian tropical rain forest. 2 in Classification, Natural History, And Evolution Of The Epiphloeinae (Coleoptera: Cleridae). Part Ii. The Genera Chaetophloeus Opitz And Plocamocera Spinola
Figs. 2–5. Brazilian tropical rain forest. 2. Malaise trap in Rondonia, Wilbur J. Hanson's method of collecting Cleridae, November 1995. 3. The author collecting specimens of Epiphloeinae, environs of Manaus, January 1981. 4, 5. Excellent habitat for collecting Cleridae, environs of Manaus, January 1981.
Fig. 1. A in Predation behaviour of the bridle snake (Lycodon cf. davisonii) on Asian tropical evergreen forest bird nests
Fig. 1. A photograph of a bridle snake (Lycodon cf. davisonii) having just consumed a bird's egg on 27 June 2019 at 2358 at the Sakaerat Environmental Research Station, north-eastern Thailand (photo by J. Goodyear).
Fig. 2 in Predation behaviour of the bridle snake (Lycodon cf. davisonii) on Asian tropical evergreen forest bird nests
Fig. 2. Percentage of depredated nests for eight focal species caused by the top five nest predators at the Sakaerat Environmental Research Station, Thailand during the 2013–2019 breeding seasons. ABBA = Abbott's babbler, BNMO = black-naped monarch, IBFL = Indochinese blue-flycatcher, PTBA = puff-throated babbler, PTBU = puff-throated bulbul, SCBA = scaly-crowned babbler, STBU = stripe-throated bulbul, WRSH = white-rumped shama. N represents number of observed predation events for each nesting species.
Fig. 1 in Secondary removal of seeds dispersed by gibbons (Hylobates lar) in a tropical dry forest in Thailand
Fig. 1. Distribution of experimental sites where seeds were dispersed by 4 groups of white-handed gibbons (Hylobates lar). Home range maps of the gibbons are based on Light (2016) and Phiphatsuwannachai et al. (2018), plus newly-discovered areas (extended home ranges) by the author. Fruiting trees and gibbon defecation locations were recorded in a GPS. Each site when active contained a camera trap and a paired control/treatment.
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)
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DANDI Archive for NWB datasets
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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.