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Fig. 3 in Camera trapping of terrestrial animals in Tanjung Datu National Park, Sarawak, Borneo

Fig. 3. Activity pattern for selected species in Tanjung Datu National Park showing Dhat1 as an estimator of overlap (shaded area). Dhat1 compares curves at n.grid (number of points to estimate density for species comparison) and best for small samples. Dhat1 coefficient estimator ranges from 0–1.

opencc-by-4.0Sep 2018View details →
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Fig. 2 in Camera trapping of terrestrial animals in Tanjung Datu National Park, Sarawak, Borneo

Fig. 2. Species accumulation curve in Tanjung Datu National Park indicates that the sampling saturation is almost reaching an asymptote.

opencc-by-4.0Sep 2018View details →
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Fig. 1 in Camera trapping of terrestrial animals in Tanjung Datu National Park, Sarawak, Borneo

Fig. 1. Tanjung Datu National Park located at the tip of Borneo bordering Kalimantan, Indonesia with camera trap sites. Map of Sarawak indicating locations of Sarawak's protected areas. Tanjung Datu National Park map adapted from Hazebroek & Abang (2000).

opencc-by-4.0Sep 2018View details →
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Figure 2 in Leafy liverworts of Chapada das Mesas National Park: a floristic survey and checklist of the leafy liverworts of Maranhão state, Brazil

Figure 2. Diversity of environments and substrates of leafy liverworts in the Chapada das Mesas National Park. A. Waterfall São Romão; B. Waterfall Prata; C. Meeting of the Lage River with the Farinha River; D. Stream Bueno Aires; E. Waterfall Pedra Caída; F. Body of water near the ICMBio headquarters; G. Acrolejeunea (Spruce) Steph. and Frullania Raddi species on the live tree trunks; H. Fossombronia porphyrorhiza (Nees) Prosk. on decomposing trunks; I. Lejeunea Lib. species on soil; J. Cololejeunea (Spruce) Steph. species on leaves; K. Cheilolejeunea (Spruce) Steph. species on rocks; L. Bryophyte species on rocks and live trunks near the waterfall.

opencc-by-4.0Mar 2021View details →
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Figure 1 in Leafy liverworts of Chapada das Mesas National Park: a floristic survey and checklist of the leafy liverworts of Maranhão state, Brazil

Figure 1. Map of the study area, showing sampling sites, both inside and outside of Chapada das Mesas National Park.

opencc-by-4.0Mar 2021View details →
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Figure 3 in Leafy liverworts of Chapada das Mesas National Park: a floristic survey and checklist of the leafy liverworts of Maranhão state, Brazil

Figure 3. Leafy liverworts of the Chapada das Mesas National Park; A. Frullania intumescens; B. Frullania platicalyx; C. Frullania rio-janeirensis; D. Ceratolejeunea cubensis; E. Cheilolejeunea acutangula; F. Cheilolejeunea adnata var. adnata; G. Cheilolejeunea intertexta; H. Cheilolejeunea trifaria; I. Lejeunea juruana; J. Lejeunea quinqueumbonata; K. Metalejeunea cucullata; L. Zoopsidella integrifolia; M. Zoopsidella macella; N. Lophocolea bidentata; O. Plagiochila raddiana; P. Plagiochila simplex (Scale bar: A-B, F-G, P= 20 µm; C-D, H-O= 100 µm; E= 300 µm).

opencc-by-4.0Mar 2021View details →
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Text-fig. 1. Sampling areas in Çankırı province: the village of Sakarcaören near to the town of Orta (green circle) in the east of GVP, and the other sites (yellow circles), volcanic centers (red circles) and the border of GVP. The sites marked as yellow circles: ELM, Elmali village; SOG, Soguksu National Park; BUG, Bugralar village; INO, Inozu Valley South Side; INL, Inozu Valley North Side; KAR, Karasar village; MEN, Menceler Plateau; KIR, Kiraluc Site near Nuhhoca village; AGU, Asagiguney village; KUZ, Kuzca village (Bayam et al. 2018); PEL, Pelitcik village (Akkemik et al. 2009); GUD, Gudul (Akkemik et al. 2017); HOC, Hoçaş village and KOZ, Kozyaka village (Akkemik et al. 2016). The sites located in the western part (INO, INL, KAR, MEN, KIR, AGU, KUZ, HOC and KUZ) are from early – middle Burdigalian and Hancili Formation (Altun et al. 2002, Akbaş et al. 2002). The sites in the central part (GUD, BUG, ELM, PEL and SOG) are from middle – late Burdigalian, Pazar Formation (Kazancı 2012, Sen et al. 2017), and finally the fossil site in the east part of GVP is the late Miocene, Hüyükköy Formation (Sengüler 2007). in The First Glyptostroboxylon And Taxodioxylon Descriptions From The Late Miocene Of Turkey And Palaeoclimatological Evaluation

Text-fig. 1. Sampling areas in Çankırı province: the village of Sakarcaören near to the town of Orta (green circle) in the east of GVP, and the other sites (yellow circles), volcanic centers (red circles) and the border of GVP. The sites marked as yellow circles: ELM, Elmali village; SOG, Soguksu National Park; BUG, Bugralar village; INO, Inozu Valley South Side; INL, Inozu Valley North Side; KAR, Karasar village; MEN, Menceler Plateau; KIR, Kiraluc Site near Nuhhoca village; AGU, Asagiguney village; KUZ, Kuzca village (Bayam et al. 2018); PEL, Pelitcik village (Akkemik et al. 2009); GUD, Gudul (Akkemik et al. 2017); HOC, Hoçaş village and KOZ, Kozyaka village (Akkemik et al. 2016). The sites located in the western part (INO, INL, KAR, MEN, KIR, AGU, KUZ, HOC and KUZ) are from early – middle Burdigalian and Hancili Formation (Altun et al. 2002, Akbaş et al. 2002). The sites in the central part (GUD, BUG, ELM, PEL and SOG) are from middle – late Burdigalian, Pazar Formation (Kazancı 2012, Sen et al. 2017), and finally the fossil site in the east part of GVP is the late Miocene, Hüyükköy Formation (Sengüler 2007).

opencc-by-4.0Nov 2019View details →
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Fig. 6 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 6. Proportion of autochthonous feeding items (black) and allochthonous (gray) with respect to the rainy (C) and dry (S) seasons for the fish species that presented this significant variation. Species abbreviations: Aspidoras fuscoguttatus (aspfus), Astyanax sp. (astsp), Characidium xanthopterum (chaxan), Hasemania sp. (hassp), Hyphessobrycon balbus (hypbal), Heptapterus sp. (hepsp), Knodus moenkhausii (knomoe), Kolpotocheirodon theloura (kolthe), Moenkhausia sp. (moesp), Phalloceros harpagos (phahar), Planaltina myersi (plamye), Rhamdia quelen (rhaque) and Rivulus pictus (rivpic)..

opencc-by-4.0Sep 2011View details →
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Fig. 1 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 1. Localization of the Brasília National Park in the Distrito Federal and distribution of sampling sites in the Bananal stream subbasin, Paranoá Lake basin, DF.

opencc-by-4.0Sep 2011View details →
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Fig. 5 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 5. Feeding items distributed according to the frequency of fish species occurrence (axis X) and relative abundance (axis Y), based upon the method proposed by Amundsen et al (1996): Moenkhausia sp., Phalloceros harpagos, Planaltina myersi, Rhamdia quelen and Rivulus pictus. The number of analyzed stomachs is shown in parentheses.

opencc-by-4.0Sep 2011View details →
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Fig. 4 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 4. Feeding items distributed according to the frequency of fish species occurrence (axis X) and relative abundance (axis Y), based upon the method proposed by Amundsen et al (1996): Aspidoras fuscoguttatus, Astyanax sp., Characidium xanthopterum, Hasemania sp., Hyphessobrycon balbus, Heptapterus sp., Knodus moenkhausii and Kolpotocheirodon theloura. The number of analyzed stomachs is shown in parentheses.

opencc-by-4.0Sep 2011View details →
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Fig. 2 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 2. General view of sites 1 to 7 sampled at the Bananal stream subbasin, Paranoá Lake basin, DF.

opencc-by-4.0Sep 2011View details →
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Fig. 3. Non-metric multidimensional scaling analysis for the 13 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 3. Non-metric multidimensional scaling analysis for the 13 more abundant fish species' diet found in the Bananal stream subbasin, Paranoá Lake basin, DF. Indication of four groups A, B, C and D. Species abbreviations: Aspidoras fuscoguttatus (aspfus), Astyanax sp. (astsp), Characidium xanthopterum (chaxan), Hasemania sp. (hassp), Hyphessobrycon balbus (hypbal), Heptapterus sp. (hepsp), Knodus moenkhausii (knomoe), Kolpotocheirodon theloura (kolthe), Moenkhausia sp. (moesp), Phalloceros harpagos (phahar), Planaltina myersi (plamye), Rhamdia quelen (rhaque) and Rivulus pictus (rivpic).

opencc-by-4.0Sep 2011View details →
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Milky Way Arch over Amboseli National Park

<p>Winner in the 2022 IAU OAE Astrophotography Contest, category Still images of celestial patterns.</p> <p>&nbsp;</p> <p>This image was taken in July 2016 from the Amboseli National Park in Kenya, located close to the equator.</p> <p>In Egyptian mythology from northern Africa, the Milky Way was associated with a river sailed by gods and souls. The Zulu in South Africa interpret this pattern of dark and bright clouds of stars as an animal with black and white skin, whereas the South African Khoikhoi and San considered it &ldquo;The Star&rsquo;s Road&rdquo;. In several South African cultures, the arch of the Milky Way is a pathway to the heavens formed by a mother goddess, according to a South African creation myth that was adopted in the 19th century from early ethnological research, but has vanished today.</p> <p>In the middle-right of the image we find the bright red star Antares in the modern constellation of the Scorpion and at the upper-left edge is the white star Vega that is considered a Male Steenbok by the peoples around Cape Town.</p> <p>Indigenous Australians have many names for the Milky Way. The Yolnu people of Arnhem Land in Australia&rsquo;s Northern Territory refer to the Milky Way as Milnguya, the sky river. One of the prominent patterns in this image is associated with the contrast between the light and dark regions of the Milky Way.</p> <p>These dark regions are cool dense clouds of interstellar dust and gas, which block the light from stars behind them. One of the prominent patterns is that of the Celestial Emu referred to as Tchingal by several Indigenous peoples of south Australia. The head and beak of the emu (the Coalsack Nebula) lie to the bottom-left of the Southern Cross (seen in the far bottom-right of the image), and the body and legs stretch leftward from it. Other indigenous groups associate the dark regions with caves or waterways. The orientation of the emu over the year provides important clues as to when it is time to pick emu eggs, and when the eggs are hatching. In some months, when these clouds of the Milky Way are close to the horizon, they are not considered as emu at all but as two creeping crocodiles.</p> <p>The modern figure of the dark Pipe Nebula is clearly visible above the centre of the Galaxy; the smoke of this pipe reaches the colourful rho Ophiuchi region next to Antares in Scorpius, the orange-red star just above the Milky Way. Antares is referred to by the Boorong people as Djuit, the red-rumped parrot, while the Kokatha people of the Western Desert refer to Antares as Kogolongo, the red-tailed black cockatoo.</p> <p>In addition, some notable constellations can be seen: Cygnus, Aquila, Lyra, Scorpius, Sagittarius, Crux, and Centaurus. The pointer stars, Alpha and Beta Centauri, are occasionally interpreted as The Eyes of the Beast in some South African traditions.</p> <p>Credit: Amirreza Kamkar/IAU OAE&nbsp;(<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY&nbsp;4.0</a>)</p>

opencc-by-4.0Dec 2022View details →
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Passive acoustic monitoring applied to black-and-white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar

<p>Data accompanying the paper: <strong>&quot;An integrated passive acoustic monitoring and deep learning pipeline applied to black-and-white ruffed lemurs (\textit{Varecia variegata}) in Ranomafana National Park, Madagascar&quot;</strong></p> <p>Fieldwork was conducted at Mangevo (21.3833S, 47.4667E), an isolated and undisturbed forest location within Ranomafana National Park (RNP), located in southeastern Madagascar, during the period of May to July 2019. To facilitate passive acoustic monitoring, we deployed a total of two SongMeter SM4 devices (manufactured by Wildlife Acoustics) and two Swift units (provided by the Cornell Yang Center for Conservation Bioacoustics). The placement of these recorders was strategically chosen within the central regions of known subgroups, ensuring a minimum distance of 300 meters between each device. The SongMeter devices operated at a sampling rate of 48 kHz, while the Swift units operated at 32 kHz, respectively, enabling comprehensive audio data collection throughout the study period.</p> <p>We provide the audio data (.wav) used to train and test our neural network classifier along with the corresponding labelled text files (.data).</p> <p><strong>Files provided</strong></p> <ul> <li><strong>Test_Audio.zip </strong>-- contains (.wav) testing audio files</li> <li><strong>Test_Annotations.zip </strong>-- contains (.svl) manually annotated testing files which can be read in using Sonic Visualiser or by parsing the XML file in Python or another programming language. Load in the audio file into Sonic Visualiser and then drag-and-drop the corresponding .svl file.</li> <li><strong>Training_Audio_batch_x.zip -</strong>- several .zip files were created to simplify downloading. There are 10 batches, each is roughly 4GB. Each batch contains (.wav) training audio files</li> <li><strong>Training_Annotations.zip</strong> -- contains (.svl) manually annotated training files which can be read in using Sonic Visualiser or by parsing the XML file in Python or another programming language. Load in the audio file into Sonic Visualiser and then drag-and-drop the corresponding .svl file.</li> <li><strong>model_weights_tensorflow.hdf5 </strong>-- the Tensorflow model. Load the model using: model = tf.keras.models.load_model(model_filepath) note that the model expects a three channel input as explained in the research article.</li> </ul>

opencc-by-nc-sa-4.0May 2023View details →
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Tree-Ring Measurement File: Lodgepole Pine Samples Collected at Steamboat Geyser, Yellowstone National Park

<p>Decade format (Tucson format) tree-ring measurement file (0.001 mm) for lodgepole pine core samples collected adjacent to Steamboat Geyser in Yellowstone National Park, Wyoming, USA.</p>

opencc-by-4.0Jun 2023View details →
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Figure 33 in A new Neomardara Hering, 1926 (Lepidoptera: Erebidae: Lymantriinae) from Nouabalé-Ndoki National Park, Republic of Congo

Figure 33. Mixed forest habitat with the Mondika stream, type locality of Neomardara mondika sp. n., Nouabalé- Ndoki National Park, Republic of Congo (photo by V. Dérozier).

opencc-by-4.0Apr 2023View details →
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Figures 17–22 in A new Neomardara Hering, 1926 (Lepidoptera: Erebidae: Lymantriinae) from Nouabalé-Ndoki National Park, Republic of Congo

Figures 17–22. Male genitalia, details of uncus-gnathos-tegumen complex (all in coll. ANHRT). 17. Neomardara africana, Gabon, LG 6041. 18. Idem, Gabon, LG 6042. 19. N. divergens, Zambia, LG 6044. 20. Idem, Zambia, LG 6045. 21. N. mondika sp. n., holotype, Republic of Congo, LG 6046. 22. Idem, Paratype, Republic of Congo, LG 6047.

opencc-by-4.0Apr 2023View details →
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Figures 10–16. Male genitalia, a in A new Neomardara Hering, 1926 (Lepidoptera: Erebidae: Lymantriinae) from Nouabalé-Ndoki National Park, Republic of Congo

Figures 10–16. Male genitalia, a: clasping apparatus, b: aedeagus (all in coll. ANHRT). 10. Neomardara africana, Gabon, LG 6041. 11. Idem, Gabon, LG 6042. 12. Idem, Liberia, LG 6050. 13. N. divergens, Zambia, LG 6044. 14. Idem, Zambia, LG 6045. 15. N. mondika sp. n., holotype, Republic of Congo, LG 6046. 16. Idem, paratype, Republic of Congo, LG 6047.

opencc-by-4.0Apr 2023View details →
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Figures 29–32 in A new Neomardara Hering, 1926 (Lepidoptera: Erebidae: Lymantriinae) from Nouabalé-Ndoki National Park, Republic of Congo

Figures 29–32. Female genitalia (all in coll. ANHRT). 29. Neomardara divergens, Zambia, LG 6052. 30. N. mondika sp. n., paratype, Republic of Congo, LG 6053. 31. N. divergens, details of ostium bursae-antrum complex (LG 6052). 32. N. mondika sp. n., details of ostium bursae-antrum complex (LG 6053).

opencc-by-4.0Apr 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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