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7,849 results for “Conservancy”
Fig. 1 in Conservation importance of Nakai-Nam Theun National Protected Area, Laos, for small carnivores based on camera trap data
Fig. 1. Camera-trap sampling effort within Nakai–Nam Theun NPA in 2006–2011 (c.f. Table 1; Johnson et al., 2007) at 10 survey blocks; in chronological order of survey: (1) Khamkeut – Nam San; (2) Nam On – Boualapha; (3) Nam On – Gnomalath; (4) Khamkeut – Thong Pae; (5) Nam Chae – Makfuang; (6) Nam Chae – Navang; (7) Phou Vang – Houay Nam Heuy; (8) Thong Xet; (9) Nam Mon – Thongkacheng; (10) Nam Theun – reservoir.
Fig. 2. A in Conservation of Peninsular Malaysia's Karst Herpetofauna: A review of herpetological discoveries, research trends, and challenges
Fig. 2. A, Limnonectes blythii from an unnamed cave in Tambun, Perak; B, Limnonectes cf. macrognathus from Gua Wang Burma, Perlis; C, Phrynoidis asper from Gua Wang Burma, Perlis; D, Hylarana malayana from Gua Wang Burma, Perlis; E, Lycodon cavernicolus from Gua Wang Burma, Perlis; F, Elaphe taeniura ridleyi from Gua Wang Burma, Perlis; G, Cyclemys sp. from Gua Katak, Merapoh; H, Dogania subplana from Gua Wang Burma, Perlis. (Photographs by Liz Price [A & G] and Evan Quah [B–F & H]).
Fig. 1 in Conservation of Peninsular Malaysia's Karst Herpetofauna: A review of herpetological discoveries, research trends, and challenges
Fig. 1. Map of the main regions of karst in Peninsular Malaysia and selected areas of known herpetofaunal endemism. (1) Langkawi Archipelago, Kedah. (2) Nakawan Range that encompasses locations like Gua Wang Burma, Wang Kelian and Ulu Wang, as well as karst outcrops in Perlis like Bukit Cabang and Kuala Perlis. (3) Gunung Baling, Kedah. (4) Lenggong Valley, Perak. (5) Kinta Valley, Perak that encompasses locations such as Gua Kanthan, Gua Tempurung, Gunung Lanno, and Tambun. (6) Batu Caves and Dark Cave, Selangor. (7) Gunung Reng, Kelantan. (8) Gua Musang area, Kelantan that encompasses locations like Gua Bayu and Felda Chiku 7. (9) Merapoh, Pahang that encompasses locations like Gua Gunting and Gua Goyang. (10) Gunung Senyum, Pahang. (Map courtesy of Junn Kitt Foon and adapted from Liew et al. (2016)).
Fig. 3. A in Conservation of Peninsular Malaysia's Karst Herpetofauna: A review of herpetological discoveries, research trends, and challenges
Fig. 3. A, Cnemaspis cf. hangus from Felda Chiku 7, Kelantan; B, Cnemaspis biocellata from Gua Wang Burma, Perlis; C, Cyrtodactylus guakanthanensis from Gua Kanthan, Perak; D, Cyrtodactylus lenggongensis from Lenggong Valley, Perak; E, Cyrtodactylus hidupselamanya from Felda Chiku 7, Kelantan; F, Cyrtodactylus evanquahi from Gunung Baling, Kedah; G, Cyrtodactylus consobrinus from Curtain Cave, Pasoh, Negeri Sembilan; H, Calotes emma from Gua Kelam, Perlis. (Photographs by Ali Shamsul Bahar [G] and Evan Quah [A–F & H])
Fig. 3 in Camera Trapping And Conservation In Lanjak Entimau Wildlife Sanctuary, Sarawak, Borneo
Fig. 3. Activity levels (%) of (a) porcupines, (b) bearded pig, and (c) Malay civet based on pooled camera trapping records in LEWS a period of 10 sampling months. Note the different scalings of the vertical axis.
Fig. 3. Land use and land cover data for 2014 in Population trends and conservation status of proboscis monkeys (Nasalis larvatus) in the face of habitat change in the Klias Peninsula, Sabah, Borneo, Malaysia
Fig. 3. Land use and land cover data for 2014/2015 within the 1-km buffer distance from surveyed rivers, overlaid with proboscis monkey sightings from the 2004/2005 and 2014 surveys, Protected Areas, and Production Forest Reserve boundaries.
Fig. 2 in Population trends and conservation status of proboscis monkeys (Nasalis larvatus) in the face of habitat change in the Klias Peninsula, Sabah, Borneo, Malaysia
Fig. 2. Boxplots illustrating the variation in vegetation variables, with each point representing the values for vegetation plot in each site.
Fig. 1 in Population trends and conservation status of proboscis monkeys (Nasalis larvatus) in the face of habitat change in the Klias Peninsula, Sabah, Borneo, Malaysia
Fig. 1. Map showing the Klias Peninsula region in western Sabah, in the northern part of Borneo (inset), Malaysia, and the research sampling sites in riverine, mangrove, and mixed mangrove-riverine forests along rivers in Padang Teratak Bird Sanctuary, Padas Damit Forest Reserve, Menumbok Forest Reserve, Binsulok Forest Reserve, Klias Forest Reserve, Kg. Hindian Forest Reserve, and Nabahan Forest Reserve, where the river surveys of the sleeping sites of proboscis monkeys were conducted.
Fig. 2 in Camera Trapping And Conservation In Lanjak Entimau Wildlife Sanctuary, Sarawak, Borneo
Fig. 2. Expected species accumulation curve (—) and 95% CI (– –) for mammalian species in Lanjak Entimau Wildlife Sanctuary. Relatively high sampling saturation was achieved based on a sampling completeness ratio of 0.79 (observed/expected no. of species).
Fig. 1 in Camera Trapping And Conservation In Lanjak Entimau Wildlife Sanctuary, Sarawak, Borneo
Fig. 1. Lanjak Entimau Wildlife Sanctuary in southern Sarawak bordering Batang Ai National Park. Striped areas show proposed extension on the northwest of the sanctuary.
Fig. 3 in Food preference of the Bornean elephant (Elephas maximus borneensis) in North Kalimantan Province, Indonesia, and its conservation implications
Fig. 3. The OPLS score plot (a) showing the correlation between 1H NMR data and Bornean elephant predictive food preference level. The loading coefficient plot (b) showing the signals that are positively (on the positive y-axis) and negatively (negative y-axis) correlated to the preference prediction [C = Calamus sp., DC = Donax canniformis, EG = Elaeis guineensis, E = Etlingera sp., MB = Musa borneensis, SS = Saccharum spontaneum, BO = Bambusa oldhamii, SO = Saccharum officinarum, CN = Cocos nucifera, AH = Artocarpus heterophyllus, L = Licuala sp., CM = Caryota mitis, AP = Arenga pinanga].
Fig. 2 in Food preference of the Bornean elephant (Elephas maximus borneensis) in North Kalimantan Province, Indonesia, and its conservation implications
Fig. 2. The orthogonal projections to latent structures (OPLS) score plot (a) showing separation of nutritional values among the samples [C = Calamus sp., Dc = Donax canniformis, Eg = Elaeis guineensis, E = Etlingera sp., Mb = Musa borneensis, Ss = Saccharum spontaneum, Bo = Bambusa oldhamii, So = Saccharum officinarum, Cn = Cocos nucifera, Ah = Artocarpus heterophyllus, L = Licuala sp., Cm = Caryota mitis, Ap = Arenga pinanga] The response-related profile (b) showing signals that are positively and negatively correlated to the preference prediction [NDF = Neutral detergent fibre, ADF = Acid detergent fibre, HC = Hemicellulose, ADL = Acid detergent lignin, CP = Crude protein, P = Phosphorus, K = Potassium, Ca = Calcium, Mg = Magnesium, Na = Sodium].
Fig. 1 in Food preference of the Bornean elephant (Elephas maximus borneensis) in North Kalimantan Province, Indonesia, and its conservation implications
Fig. 1. Map of the study area showing transects containing feeding signs of Bornean elephant in the study area in Tulin Onsoi Sub-district, North Kalimantan Province (after Suba et al., 2018).
Fig. 4 in Modelling the change in the distribution of the black-shanked douc, Pygathrix nigripes (Milne-Edwards) in the context of climate change: Implications for conservation
Fig. 4. The predicted distribution of the black-shanked douc (P. nigripes) generated by the MaxEnt software under the RCP8.5 scenario. BGM = Bu Gia Map National Park; CYS = Chu Yang Sin National Park; CT = Cat Tien National Park; HB = Hon Ba Nature Reserve; KL-SM = Kalon-Song Mao Nature Reserve; KT = Krong Trai Nature Reserve; NK = Nam Ka Nature Reserve; NN = Nam Nung Nature Reserve; NC = Nui Chua National Park; NO = Nui Ong Nature Reserve; TK = Takou Nature Reserve; VC = Vinh Cuu Nature Reserve.
Fig. 2 in Modelling the change in the distribution of the black-shanked douc, Pygathrix nigripes (Milne-Edwards) in the context of climate change: Implications for conservation
Fig. 2. The predicted distribution of the black-shanked douc (P. nigripes) generated by the MaxEnt software under the RCP4.5 scenario. BGM = Bu Gia Map National Park; CYS = Chu Yang Sin National Park; CT = Cat Tien National Park; HB = Hon Ba Nature Reserve; KL-SM = Kalon-Song Mao Nature Reserve; KT = Krong Trai Nature Reserve; NK = Nam Ka Nature Reserve; NN = Nam Nung Nature Reserve; NC = Nui Chua National Park; NO = Nui Ong Nature Reserve; TK = Takou Nature Reserve; VC = Vinh Cuu Nature Reserve.
Fig. 3 in Modelling the change in the distribution of the black-shanked douc, Pygathrix nigripes (Milne-Edwards) in the context of climate change: Implications for conservation
Fig. 3. Response curve plots illustrate the dependence of predicted potential distribution on the three most important environmental variables for the black-shanked douc (P. nigripes). The curve shows the mean response of 10 replicates by MaxEnt (red line) and the standard deviation (blue band).
Fig. 1. The 472 in Modelling the change in the distribution of the black-shanked douc, Pygathrix nigripes (Milne-Edwards) in the context of climate change: Implications for conservation
Fig. 1. The 472 points recorded for the black-shanked douc (P. nigripes) that were used in this study. BGM = Bu Gia Map National Park; CYS = Chu Yang Sin National Park; CT = Cat Tien National Park; HB = Hon Ba Nature Reserve; KL-SM = Kalon-Song Mao Nature Reserve; KT = Krong Trai Nature Reserve; NK = Nam Ka Nature Reserve; NN = Nam Nung Nature Reserve; NC = Nui Chua National Park; NO = Nui Ong Nature Reserve; TK = Takou Nature Reserve; VC = Vinh Cuu Nature Reserve.
Fig. 4 in Spatial genetic structure in the vulnerable smooth-coated otter (Lutrogale perspicillata, Mustelidae): towards an adaptive conservation management of the species
Fig. 4. Multidimensional Scaling (MDS) plot (stress: 0.0045) performed using average pairwise TN93 (Tamura & Nei, 1993) distances among investigated Lutrogale perspicillata groups created according to the country of origin of samples (modern + museum DNA and GenBank entries).
Fig. 3. A in Spatial genetic structure in the vulnerable smooth-coated otter (Lutrogale perspicillata, Mustelidae): towards an adaptive conservation management of the species
Fig. 3. A, Lutrogale perspicillata network computed using haplotypes (h) from the 305 bp-long sequence alignment (modern + museum DNA and GenBank entries). A scale to infer the number of sequences for each pie (i.e., haplotype) was provided together with a length bar to compute the number of mutational changes. The colour of each country and the number of each haplotype are indicated. See Table S1 for more details. B, Mismatch Distributions (MD) of the mtDNA pairwise differences (dotted: observed; line: expected) calculated for South East Asia haplogroup (Fig. 3A). Estimates of FS and R2 statistics (with related P values), r (raggedness index) and the outcome of SSD and SSD* test under a model (H0) of sudden demographic and spatial population expansion, respectively, are provided.
Fig. 2 in Spatial genetic structure in the vulnerable smooth-coated otter (Lutrogale perspicillata, Mustelidae): towards an adaptive conservation management of the species
Fig. 2. Photos of MNHN-ZM-MO-2001-350, L. p. perspicillata holotype resident in the mammal collection of the National Museum of Natural History of Paris, France. A, right side, lateral view (bar length = 20 cm); B, left forelimb, lateral view; C, basement, in French "Lutra perspicillata = Lutra leptonix Horsf., loutre de Java par m Diard, mai 1821, la tête est au lab d'anatomie", which can be translated into and interpreted as: "Lutra perspicillata = Lutra leptonix (Horsfield, 1824), Java otter from M. Diard, May 1821, skull is in the lab of anatomy" (see also Material and Methods). Photos courtesy and copyright: © MNHN - RECOLNAT - Laura Flamme - 2014.
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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.