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1,374 results for “Peninsular Malaysia”
Fig. 1 in Memecylon pseudomegacarpum M.Hughes (Melastomataceae), a new species of tree from Peninsular Malaysia
Fig. 1. Image of a syntype of Memecylon megacarpum Furtado [Beccari 1833 (FI)].
Fig. 2 in Memecylon pseudomegacarpum M.Hughes (Melastomataceae), a new species of tree from Peninsular Malaysia
Fig. 2. Image of an isotype of Memecylon pseudomegacarpum sp. nov. [Wilkie et al. FRI172079 (E)].
[VERSION 2] Data set and analytic codes supporting "How do management decisions impact butterfly assemblages in smallholding oil palm plantations in Peninsular Malaysia?"
<p>This is <strong>VERSION 2</strong> of data set and analytic codes (with a meta data [see the meta data from VERSION 1]) supporting "How do management decisions impact butterfly assemblages in smallholding oil palm plantations in Peninsular Malaysia?". We investigated the impacts of replanting and alternative replanting decisions (replanting with monoculture versus polyculture oil palm plantations) on within-plantation environmental conditions and butterfly assemblages (diversity, density, and composition). We also assessed the effects of habitat structure and complexity within plantations on butterfly assemblages. Apart from "BantingButterflies_ButterflyData", other data are the same as in VERSION 1.</p><p><strong>## List of changes:</strong></p><p># 1. <i>Tirumala septentrionis </i>was not included in the analyses because it should have been <i>Ideopsis vulgaris</i> (had been corrected),</p><p># 2. PC5 and PC6 (from PCA) were considered as predictors for the GLMs,</p><p># 3. The Mantel test was added.</p><p><strong>## Other notes:</strong></p><p># 1. Older version of ggiNEXT could work with facet.var = "site", now it needs to be "Assemblage"</p><p># 2. Older version of ggiNEXT could work with facet.var = "order", now it needs to be "Order.q"</p><p># 3. "set.seed(42)" function was used before running "iNEXT", ANOSIM, and the Mantel test to get reproducible outputs (exactly the same outputs every time each function is run).</p><p><strong>Funding and research permission:</strong> Jardine Foundation, the Cambridge Trust, and Tim Whitmore Fund provided funding for MFH, the Biotechnology and Biological Sciences Research Council (BBSRC) funded JS (USN: 304338625), and BBSRC (BB/T012366/1) provided funding for the establishment of the plots and surveys of environmental parameters. Research permission was provided by the Economic Planning Unit (EPU) of Malaysia's Prime Minister's Department for MFH (Ref: EPU 40/200/19/3727) and JS (Ref: MEA 40/200/19/3705).</p>
Fig. 5 in Guide To The Aquatic Heteroptera Of Singapore And Peninsular Malaysia. 6. Mesoveliidae, With Description Of A New Nereivelia Species From Singapore
Fig. 5. Cryptovelia stysi Andersen, apterous male, dorsal view (after Andersen, 1999).
Fig. 4 in Guide To The Aquatic Heteroptera Of Singapore And Peninsular Malaysia. 6. Mesoveliidae, With Description Of A New Nereivelia Species From Singapore
Fig. 4. Nereivelia polhemorum, new species, apterous female, dorsal view.
Fig. 3 in Guide To The Aquatic Heteroptera Of Singapore And Peninsular Malaysia. 6. Mesoveliidae, With Description Of A New Nereivelia Species From Singapore
Fig. 3. Mesovelia vittigera Horváth, apterous male, ventral view.
Forest Fire Dataset for Peninsular Malaysia (2001-2023) Extracted from Multiple-Source Remote Sensing Data using Google Earth Engine
<ul> <li>Dataset: Forest Fire data</li> <li>Time Period: 2001 to 2023</li> <li>Location: Peninsular Malaysia</li> <li>Historical Fire Source: MCD64A1 and FIRMS Hotspots</li> <li>Fire Factors Extracted: Global Remote Sensing Data from GEE</li> </ul> <p>The framework extraction process can be reffered from the following publication:</p> <ul> <li>Framework to Create Inventory Dataset for Disaster Behavior Analysis Using Google Earth Engine: A Case Study in Peninsular Malaysia for Historical Forest Fire Behavior Analysis</li> <li>Journal: <em>Forests</em> <strong>2024</strong>, <em>15</em>(6), 923;</li> <li><a href="https://doi.org/10.3390/f15060923">https://doi.org/10.3390/f15060923</a></li> <li>The variables name such as AET (actual evapotranspiration) can be found from the article.</li> </ul> <p>Access the framework code from: </p> <ul> <li><a href="https://github.com/chewyeejian/GEE_FrameworkForestFireDataset">https://github.com/chewyeejian/GEE_FrameworkForestFireDataset</a></li> </ul> <p>The time sequence in the variable indicate whether it's a monthly data / yearly accumulated data / seasonal data, example:</p> <ul> <li>200101_aet (Year 2001, Month 01, value for aet (actual evapotranspiration)</li> <li>2001_aet_DJF (Average of December, January, February)</li> <li>2001_aet_MAM (Seasonal Average of March, April, May)</li> <li>2001_aet_JJA (Seasonal Average of June, July, August)</li> <li>2001_aet_SON (Seasonal Average of September, October, November)</li> <li>2001_aet_annual (Annual average of 2001)</li> </ul>
Fig. 1 in Camera Trapping The Indochinese Tiger, Panthera Tigris Corbetti, In A Secondary Forest In Peninsular Malaysia
Fig. 1. Map of FJB and infra red sensored camera locations.
Fig. 9 in Herpetofaunal Records From Fraser'S Hill, Peninsular Malaysia, With Larval Descriptions Of Limnonectes Nitidus And Theloderma Asperum (Amphibia: Ranidae And Rhacophoridae)
Fig. 9. Draco blandfordii from the town centre, photographed by B. C. Ng in June 1990.
Fig. 7 in Herpetofaunal Records From Fraser'S Hill, Peninsular Malaysia, With Larval Descriptions Of Limnonectes Nitidus And Theloderma Asperum (Amphibia: Ranidae And Rhacophoridae)
Fig. 7. Oral disc of larval Theloderma asperum (Stage 35).
Fig. 6 in Herpetofaunal Records From Fraser'S Hill, Peninsular Malaysia, With Larval Descriptions Of Limnonectes Nitidus And Theloderma Asperum (Amphibia: Ranidae And Rhacophoridae)
Fig. 6. Lateral (a) and dorsal (b) aspects of late (Stage 43) larval Theloderma asperum.
Fig. 5 in Herpetofaunal Records From Fraser'S Hill, Peninsular Malaysia, With Larval Descriptions Of Limnonectes Nitidus And Theloderma Asperum (Amphibia: Ranidae And Rhacophoridae)
Fig. 5. Lateral (a) and dorsal (b) aspects of early (Stage 25) larval Theloderma asperum.
Fig. 4 in Herpetofaunal Records From Fraser'S Hill, Peninsular Malaysia, With Larval Descriptions Of Limnonectes Nitidus And Theloderma Asperum (Amphibia: Ranidae And Rhacophoridae)
Fig. 4. Adult female Theloderma asperum (ZRC.1.9321, SVL 33.1mm).
Fig. 1 in Herpetofaunal Records From Fraser'S Hill, Peninsular Malaysia, With Larval Descriptions Of Limnonectes Nitidus And Theloderma Asperum (Amphibia: Ranidae And Rhacophoridae)
Fig. 1. Adult male Limnonectes nitidus (ZRC.1.9356, SVL 40.7mm).
Fig. 2 in Herpetofaunal Records From Fraser'S Hill, Peninsular Malaysia, With Larval Descriptions Of Limnonectes Nitidus And Theloderma Asperum (Amphibia: Ranidae And Rhacophoridae)
Fig. 2. Lateral (a) and dorsal (b) aspects of Stage 40 larval Limnonectes nitidus.
Figure 4 in Diversity of bats in three selected forest types in Peninsular Malaysia
Figure 4. Relative abundance (%) of families in the three habitat types.
Figure 2 in Diversity of bats in three selected forest types in Peninsular Malaysia
Figure 2. Number of species captured according to families in the three habitat types.
Figure 3 in Diversity of bats in three selected forest types in Peninsular Malaysia
Figure 3. Number of individuals captured according to families in the three habitat types.
Fig. 1 in Guide To The Aquatic Heteroptera Of Singapore And Peninsular Malaysia. V. Hydrometridae
Fig. 1. Heterocleptes spinosus Andersen, macropterous female (from Andersen, 1982).
Fig. 37 in Guide To Aquatic Heteroptera Of Singapore And Peninsular Malaysia Iii. Pleidae And Notonectidae
Fig. 37. Enithares mandalayensis male, tarsus of middle leg. Thickened and bent inner claw dotted.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.