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41 results for “Orangutan”
Orangutan habitat survey in Sebangau National Park, Central Kalimantan, Indonesia
<p>This dataset is used to initialise BORNEO (arBOReal aNimal movEment mOdel), as a part of publication entitled:</p> <p>Assessing the impact of forest structure disturbances on the arboreal movement oforangutans - an agent-based modelling approach.</p> <p>The article manuscript is being prepared to be submitted to Frontiers in Ecology and Evolution</p> <p><strong>Data collection</strong></p> <p>The data is collected in Sebangau, Central Kalimantan, Indonesia. Two 1-ha plots were established, each in unburned and burned forest. </p>
Figure 5 in The type specimens and type localities of the orangutans, genus Pongo Lacépède, 1799 (Primates: Hominidae)
Figure 5. The nomenclature and geographic distribution of the subspecies of Pongo pygmaeus, (A) following Groves (2001), and (B) as revised in this paper
Triangular Mesh of the Brain of a Orangutan (Pongo pygmaeus)
<p>Triangular Mesh of the Brain of a Orangutan (<i>Pongo pygmaeus</i>) from http://braincatalogue.org/Orangutan</p>
Fig. 1 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 1. Location maps of Deramakot Forest Reserve in Sabah, Malaysian Borneo (D1 to D4: natural-licks).
Review of Recent Trends in Measuring the Computing Systems Intelligence-igure 2. Intelligence of different living creature (accessed 01.11.2017). 2.1. A crow solving a complex task (https://www.disclose.tv/spooky-genius-crow-had-to-be-removed-from-scientific-experiment- 314886). 2.2. A group of dolphins with a social behaviour (http://www.sciencemag.org/news/2012/04/teamwork-builds-big-brains); 2.3. An orangutan that use a spear to fish (https://primatology.net/2008/04/29/orangutan-photographed-using-tool-as-spear-to-fish)
<p>Some species of birds have been shown capable of using different tools. Many studies consider the crows as very intelligent. Smirnova, Lazareva, and Zorina (2000) suggested that crows have some kind of numerical ability. Figure 2.1 presents a crow that uses a tool, a small stone in order to catch a worm from a glass of water.The dolphins in many studies are considered intelligent at the individual level. An advanced ability of dolphins is the self-awareness. Marten and Psarakos (1995) presented an interesting study based on self-view television to distinguish between self-examination and social behavior in the Bottlenose dolphin. The most well-known abilities of dolphins are to teach, learn and cooperate. Dolphins have a complex communication and social behaviour. Figure 2.2 presents the image of a common group of dolphins. Some studies prove that primates are one of the most intelligent in the class of animals (Reader, Hager, & Laland, 2011). Orangutans are one of the most intelligent primates. The ability of orangutans to use different types of tools in order to perform tasks is well-known. Figure 2.3 presents an orangutan that uses a spear to catch fish. The orangutans can be considered intelligent at individual level.</p>
Capacity for recovery in Bornean orangutan populations if both forest fragmentation and offtake are limited
<p>Spatial layers to run RangeShifter for orangutan populations across Borneo for the three subspecies (<em>Pongo pygmaeus pygmaeus, P. p. wurmbii </em>and <em>P. p. morio</em>).</p> <p>Each subspecies has four associated layers, defined for two fragmentation scenarios Status quo (current levels of fragmentation) and Extreme fragmentation (fragments less than 5,000 ha removed). 1). Habitat, defines the 1/b values for populations intersecting the specific habitat types. 2). Patches, delineates discrete areas of suitable orangutan habitat, each with a unique ID. 3). Resistance, accumulative cost to an orangutan of moving across that landscape and 4). Start_patches, specifies which patches should be initialised with orangutans present at year 0 of the model run. </p>
Orangutan nest surveys
<b>Description: </b><p>Short project by students enrolled on Mres Tropical Forest Ecology to quantify orangutan density along transects cross logged forest-recently salvage logged forest boundaries. Method was distance-sampling of orangutan nests.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/152"><b>MRes Tropical Forest Ecology Field Course</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3966277">here</a></p><p><b>Files: </b>This consists of 1 file: TFE_orangutans.xlsx</p><p><b>TFE_orangutans.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>transects</b> (described in worksheet transects)</p><p>Description: Information on location of transects and date they were surveyed. Transects are recorded in the Locations sheet from GPS coordinates collected at the start and end point with a linear line interpolated between them. This over-simplifies the exact route of the trail which had twists and turns. A slightly more accurate trail could be reconstructed by joining GPS coordinates of individual nest sightings along each trail.</p><p>Number of fields: 7</p><p>Number of data rows: 12</p><p>Fields: </p><ul><li><b>Transect</b>: Transect ID (Field type: location)</li><li><b>ec5_uuid</b>: Code to link transect data to nest sightings (Field type: id)</li><li><b>Team_members</b>: Names of team members collecting data (Field type: id)</li><li><b>Date</b>: Date of data collection (Field type: date)</li><li><b>Block</b>: SAFE project area in which transect was located (Field type: location)</li><li><b>Habitat</b>: Habitat type (Field type: categorical)</li><li><b>Nest_sighting</b>: Number of orangutan nests (Field type: abundance)</li></ul></li><li><p><b>nests</b> (described in worksheet nests)</p><p>Description: individual nest sighting records</p><p>Number of fields: 16</p><p>Number of data rows: 98</p><p>Fields: </p><ul><li><b>ec5_uuid</b>: Code to link nest sightings to transect information (Field type: id)</li><li><b>Distance_from_tra</b>: Horizontal distance from trail to base of tree containing nest (Field type: numeric)</li><li><b>Height_above_grou</b>: Nest height (Field type: numeric)</li><li><b>Tree_height_m</b>: Height of tree containing nest (Field type: numeric)</li><li><b>Tree_species</b>: Identity of tree containing nest (Field type: taxa)</li><li><b>Presence</b>: Dummy variable to record presence of orangutan (Field type: abundance)</li><li><b>Nest_age</b>: Decay state of the nest as described in Seaman et al 2019 (American Journal of Primatology) (Field type: ordered categorical)</li><li><b>Nest_size</b>: Size of the nest (Field type: ordered categorical)</li><li><b>Animal_age</b>: Age of the orangutan that made the nest (Field type: categorical trait)</li><li><b>Sex</b>: Sex of the orangutan that made the nest (Field type: categorical trait)</li><li><b>Photo_file_name__</b>: File name of photograph taken of the nest (photos not archived with this dataset) (Field type: id)</li><li><b>lat_21_GPS_coordinate</b>: Latitude of nest location, taken from the trail. Nest is 'Distance_from_tra' metres away. (Field type: numeric)</li><li><b>long_21_GPS_coordinate</b>: Longitude of nest location, taken from the trail. Nest is 'Distance_from_tra' metres away. (Field type: numeric)</li><li><b>accuracy_21_GPS_coordinate</b>: Accuracy of GPS coordinates (Field type: numeric)</li><li><b>Position</b>: Position of nest in tree (Field type: categorical)</li><li><b>Comments</b>: Free text comments related to the nest; includes data on where in the tree the nest is located (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2018-01-22 to 2018-01-27</p><p><b>Latitudinal extent: </b>4.6837 to 4.7413</p><p><b>Longitudinal extent: </b>117.5304 to 117.6583</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Dilleniales <br> -  -  -  -  -  Dilleniaceae <br> -  -  -  -  -  -  <i>Dillenia</i> <br> -  -  -  -  Malvales <br> -  -  -  -  -  Dipterocarpaceae <br> -  -  -  -  -  -  <i>Dipterocarpus</i> <br> -  -  -  -  -  -  <i>Shorea</i> <br> -  -  -  -  -  -  -  <i>Shorea beccariana</i> <br> -  -  -  -  -  -  -  <i>Shorea fallax</i> <br> -  -  -  -  -  -  -  <i>Shorea johorensis</i> <br> -  -  -  -  -  -  -  <i>Shorea leptoderma</i> <br> -  -  -  -  -  -  <i>Parashorea</i> <br> -  -  -  -  -  -  -  <i>Parashorea malaanonan</i> <br> -  -  -  -  -  -  -  <i>Parashorea warburgii</i> (as synonym: <i>Parashorea tomentella</i>)<br> -  -  -  -  -  Malvaceae <br> -  -  -  -  -  -  <i>Pterospermum</i> <br> -  -  -  -  -  -  -  <i>Pterospermum subpeltatum</i> (as synonym: <i>Pterospermum stapfianum</i>)<br> -  -  -  -  Ericales <br> -  -  -  -  -  Sapotaceae <br> -  -  -  -  -  -  <i>Palaquium</i> <br> -  -  -  -  -  -  -  <i>Palaquium dasyphyllum</i> <br> -  -  -  -  -  Ebenaceae <br> -  -  -  -  -  -  <i>Diospyros</i> <br> -  -  -  -  -  -  -  <i>Diospyros macrophylla</i> <br> -  -  -  -  Rosales <br> -  -  -  -  -  Moraceae <br> -  -  -  -  -  -  <i>Ficus</i> <br> -  -  -  -  -  Rhamnaceae <br> -  -  -  -  -  -  <i>Ziziphus</i> <br> -  -  -  -  -  -  -  <i>Ziziphus angustifolius</i> <br> -  -  -  -  Malpighiales <br> -  -  -  -  -  Euphorbiaceae <br> -  -  -  -  -  -  <i>Macaranga</i> <br> -  -  -  -  -  -  <i>Endospermum</i> <br> -  -  -  -  -  -  -  <i>Endospermum peltatum</i> <br> -  -  -  -  -  Phyllanthaceae <br> -  -  -  -  -  -  <i>Phyllanthus</i> <br> -  -  -  -  -  -  -  <i>Phyllanthus lutescens</i> (as synonym: <i>Glochidion lutescens</i>)<br> -  -  -  -  Gentianales <br> -  -  -  -  -  Rubiaceae <br> -  -  -  -  -  -  <i>Neolamarckia</i> <br> -  -  -  -  -  -  -  <i>Neolamarckia cadamba</i> <br> -  -  -  -  -  -  <i>Nauclea</i> <br> -  -  -  -  -  -  -  <i>Nauclea subdita</i> <br> -  -  -  -  Laurales <br> -  -  -  -  -  Lauraceae <br> -  -  -  -  -  -  <i>Litsea</i> <br> -  -  -  -  Sapindales <br> -  -  -  -  -  Burseraceae <br> -  -  -  -  -  -  <i>Canarium</i> <br> -  -  -  -  -  -  -  <i>Canarium odontophyllum</i> <br> -  -  -  -  -  Sapindaceae <br> -  -  -  -  -  -  <i>Nephelium</i> <br> -  -  -  -  -  -  -  <i>Nephelium ramboutan-ake</i> <br> -  -  -  -  -  -  -  <i>Nephelium lappaceum</i> <br> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Primates <br> -  -  -  -  -  Hominidae <br> -  -  -  -  -  -  <i>Pongo</i> <br> -  -  -  -  -  -  -  <i>Pongo pygmaeus</i> <br></div><p></p>
Magnetic Resonance Imaging Scan of the Brain of a Orangutan (Pongo pygmaeus)
<p>Magnetic Resonance Imaging Scan of the Brain of a Orangutan (<i>Pongo pygmaeus</i>) from http://braincatalogue.org/Orangutan</p>
Fig. 2 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 2. Two pairs of females with infants drink the seepage water at a natural-lick.
Fig. 6 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 6. Visitation time of each orangutan class to the naturallicks.
Fig. 4 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 4. Visiting proportion of each orangutan class: flanged male, female with infant, and others.
Fig. 3 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 3. Proportion of visitation frequency of top 3 species among the natural-licks.
Fig. 5 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest
Fig. 5. Duration of the visit of each orangutan class to the naturallicks.
Building better conservation media for primates and people: A case study of orangutan rescue and rehabilitation YouTube videos
<p>1. Conservation organizations rely on social/internet media platforms to raise awareness and fundraise. Social media is a double-edged sword: it can be a wide-reaching and effective tool for education and fundraising, but can also have counter-productive impacts on public views toward wildlife and understanding of wildlife conservation.</p> <p>2. For example, depicting humans interacting with wildlife in media may increase video popularity, but animals shown in anthropogenic contexts are also viewed as appealing pets. We are interested in understanding whether this is true for social media posts (YouTube videos) by orangutan rescue and rehabilitation organizations, which rely on social media for fundraising and awareness-raising. Our goal is to provide data and recommendations to guide these organizations in building media with positive conservation impact while minimizing potential negative effects.</p> <p>3. Using YouTube analytics and sentiment analysis of comments on 118 videos, we ask how viewer responses to videos vary with 1) the amount of human-orangutan interaction depicted, 2) the ages of the orangutans featured, and 3) the mention of threats to orangutans.</p> <p>4. Videos with longer human-orangutan interaction time were viewed more, but comments on them were significantly more likely to be negative toward Indonesian/Malaysian people. Comments on orangutan rescue/rehabilitation videos were more likely to be categorized as negative for orangutan conservation compared to videos about orangutans generally, and within these, so were comments on videos featuring infant and juvenile orangutans.</p> <p>5. Based on our findings, we recommend that orangutan rescue and rehabilitation organizations feature adult and mixed age groups of orangutans rather than infants and juveniles, minimize the amount of human-orangutan interaction shown, and talk about conservation threats to orangutans in their videos. We also recommend that, as a precaution, other primate rescue and rehabilitation groups also abide by these suggestions.</p>
Occurrence download of orangutans from GBIF via dismo
<p>This dataset was created for a course on Environmental Data Analysis (ENVS2002) at The University of Hong Kong. The Occurrence records were downloaded from GBIF through the R package dismo (Hijmans 2022). </p> <p>Hijmans, R. J., Phillips, S., Leathwick, J., Elith, J.(2022). Package ‘dismo’. 1-68.</p>
Building better conservation media for primates and people: A case study of orangutan rescue and rehabilitation YouTube videos
Open the record for dataset details and reuse information.
Coping with feast and famine: Integrated behavioral and metabolically flexible responses of wild orangutans to ecologically driven dietary variation
Open the record for dataset details and reuse information.
Sumatran orangutan mothers differ in the extent and trajectory of their expression of maternal behaviour
Open the record for dataset details and reuse information.
Dataset for the article 'Beyond Human Perception: Challenges in AI Interpretability of Orangutan Artwork'
Open the record for dataset details and reuse information.
Figure S3 in Morphometric, Behavioral, and Genomic Evidence for a New Orangutan Species
Figure S3. Signatures of recent inbreeding in different orangutan populations. Related to Figure 3C. Number of genomic fragments that are autozygous (y-axis) plotted against the total fraction of the genome covered by such fragments (x-axis). Each dot represents and individual, with sample origins represented by colors corresponding to those in Figure 2A.
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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
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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.