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31 results for “Road map”
Text-fig. 1. a: Simplified geological map of the Permo-Carboniferous Brive Basin (after Feys 1989) with marked localities L 1 (Brive, road D1089), L 2 (Lanteuil). b: Profile of the Brive Basin (modified from Feys 1989). c: Profile recorded by Guy and Maryse Chantepie in 2007 on the type locality Brive, road D1089. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central
Text-fig. 1. a: Simplified geological map of the Permo-Carboniferous Brive Basin (after Feys 1989) with marked localities L 1 (Brive, road D1089), L 2 (Lanteuil). b: Profile of the Brive Basin (modified from Feys 1989). c: Profile recorded by Guy and Maryse Chantepie in 2007 on the type locality Brive, road D1089.
Text-fig. 2. The Prague Basin and localities of the documented scolecodont occurrences (map after Havlíček and Štorch 1990) 1. Kosov Quarry, 2. Pod lanovkou, 3. Koledník, 4. Liščí Quarry, 5. cut of the road from Loděnice to Bubovice, 6. Arethusina Gorge. in Revision Of Kettnerites Žebera, 1935 (Scolecodonta, Silurian Of The Barrandian Area, Czech Republic): Preliminary Results
Text-fig. 2. The Prague Basin and localities of the documented scolecodont occurrences (map after Havlíček and Štorch 1990) 1. Kosov Quarry, 2. Pod lanovkou, 3. Koledník, 4. Liščí Quarry, 5. cut of the road from Loděnice to Bubovice, 6. Arethusina Gorge.
Text-fig. 3. Simplified geological map of the Krkonoše Piedmont Basin (based on Blecha et al. 1997) with the palaeogeographic outline of the Rudník lake deposits. The site of Vrchlabí – road cut represents the complete Rudník "Horizon" sequence with record of various developmental stages of the lake. Numbers of sites are simplified. in Permian Fauna Of The Krkonoše Piedmont Basin (Bohemian Massif, Central Europe)
Text-fig. 3. Simplified geological map of the Krkonoše Piedmont Basin (based on Blecha et al. 1997) with the palaeogeographic outline of the Rudník lake deposits. The site of Vrchlabí – road cut represents the complete Rudník "Horizon" sequence with record of various developmental stages of the lake. Numbers of sites are simplified.
Fig, 1. A map of Singapore and southern Johor showing the sites examined (Ο) and the locations where Brachidontes striatulus was collected (•) (locations 7a and 11). The locations are numbered in order of ascending salinity, except location 7a; 1: Sungei Mandai, 0‰; 2: West Coast, 1‰; 3, Sungei Danga, 2‰; 4, Kim Seng Canal, 2‰; 5, Sungei Sekudai, 5‰; 6, Sungei Serangoon, 9‰; 7, Siglap Canal, 10‰; 7a, Siglap Canal, 20‰; 8, Kallang River, 11‰; 9, Upper Rochor Canal, 12‰; 10, Kallang River, 13‰; 11, Lower Rochor Canal, 16‰; 12, Sungei Senibong, 17‰; 13, Whampoa/Kallang River junction, 19‰; 14, Rochor Canal mouth, 19‰; 15, Sungei Sembawang, 20‰; 16, Sungei Pandan, 22‰; 17, Sungei Plentong, 22‰; 18, Lim Chu Kang Road end, 24‰; 19, Sungei Simpang, 24‰; 20, Sembawang Park, 25‰; 21, Causeway, 25‰; 22, Kranji bund, 25‰; 23, Stulang Laut, 26‰; 24, West Coast Drain 2, 27‰; 25, Singapore River, 27‰. in Brachidontes Striatulus (Bivalvia Mytilidae) Introduced Into Singapore
Fig, 1. A map of Singapore and southern Johor showing the sites examined (Ο) and the locations where Brachidontes striatulus was collected (•) (locations 7a and 11). The locations are numbered in order of ascending salinity, except location 7a; 1: Sungei Mandai, 0‰; 2: West Coast, 1‰; 3, Sungei Danga, 2‰; 4, Kim Seng Canal, 2‰; 5, Sungei Sekudai, 5‰; 6, Sungei Serangoon, 9‰; 7, Siglap Canal, 10‰; 7a, Siglap Canal, 20‰; 8, Kallang River, 11‰; 9, Upper Rochor Canal, 12‰; 10, Kallang River, 13‰; 11, Lower Rochor Canal, 16‰; 12, Sungei Senibong, 17‰; 13, Whampoa/Kallang River junction, 19‰; 14, Rochor Canal mouth, 19‰; 15, Sungei Sembawang, 20‰; 16, Sungei Pandan, 22‰; 17, Sungei Plentong, 22‰; 18, Lim Chu Kang Road end, 24‰; 19, Sungei Simpang, 24‰; 20, Sembawang Park, 25‰; 21, Causeway, 25‰; 22, Kranji bund, 25‰; 23, Stulang Laut, 26‰; 24, West Coast Drain 2, 27‰; 25, Singapore River, 27‰.
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
Text-fig. 2. Map of the Mikhailovka quarry. 1 – wall of the quarry, 2 – roads, 3 – position and number of sections. in Late Pleistocene (Eemian) Mollusk And Small Mammal Fauna From Mikhailovka-5 (Kursk Oblast, Central Russia)
Text-fig. 2. Map of the Mikhailovka quarry. 1 – wall of the quarry, 2 – roads, 3 – position and number of sections.
Text-fig. 4. Known geographic distribution of Microtscoptini on a modern-day biome map (Arc-GIS feature TNC terrestrial ecoregions). 1 – Ertemte 1 and 2; 2 – Olan Chorea; 3 – Harr Obo 2; 4 – Shala; 5 – Baogeda Ula; 6 – Bilutu; 7 – Kholu (Southern Tuva); 8 – Sarayskoe (Olkhon Island); 9 – Hyargas-nuur; 10 – Petropavlovsk; 11 – Pavlodar; 12 – Akshauli; 13 – Selety 1A; 14 – Kedej 1A; 15 – Makovka; 16 – Cherevychne 3; 17 – Protopopovka 3; 18 – Verkhnya Krynytsa 2; 19 – Vasylivka 1; 20 – Lobkove; 21 – Rome; 22 – Bartlett Mountain; 23 – Bartlett Mountain (General); 24 – Juniper Creek; 25 – Little Valley; 26 – Stroud Claim; 27 – Kelley Road; 28 – Moonstone Formation; 29 – Lemoyne Quarry; 30 – Feltz Ranch; 31 – Cambridge; 32 – Rick Irwin Site; 33 – Rabbit Hole. 1–20, 30–32 – Steppe biomes, 21–29, 33 – xeric shrubland biomes. in Comments On The Age And Dispersal Of Microtoscoptini (Rodentia: Cricetidae)
Text-fig. 4. Known geographic distribution of Microtscoptini on a modern-day biome map (Arc-GIS feature TNC terrestrial ecoregions). 1 – Ertemte 1 and 2; 2 – Olan Chorea; 3 – Harr Obo 2; 4 – Shala; 5 – Baogeda Ula; 6 – Bilutu; 7 – Kholu (Southern Tuva); 8 – Sarayskoe (Olkhon Island); 9 – Hyargas-nuur; 10 – Petropavlovsk; 11 – Pavlodar; 12 – Akshauli; 13 – Selety 1A; 14 – Kedej 1A; 15 – Makovka; 16 – Cherevychne 3; 17 – Protopopovka 3; 18 – Verkhnya Krynytsa 2; 19 – Vasylivka 1; 20 – Lobkove; 21 – Rome; 22 – Bartlett Mountain; 23 – Bartlett Mountain (General); 24 – Juniper Creek; 25 – Little Valley; 26 – Stroud Claim; 27 – Kelley Road; 28 – Moonstone Formation; 29 – Lemoyne Quarry; 30 – Feltz Ranch; 31 – Cambridge; 32 – Rick Irwin Site; 33 – Rabbit Hole. 1–20, 30–32 – Steppe biomes, 21–29, 33 – xeric shrubland biomes.
Text-fig. 2. Fossiliferous localities in the Ashawq Formation north and north-east of Thaytiniti, Dhofar Governorate, Oman (for latitude, longitude and altitude, see App. 1). The large white area either side of the north-south road is the village of Aydim (map modified from Google Earth). in Large Mammals From The Rupelian Of Oman - Recent Finds
Text-fig. 2. Fossiliferous localities in the Ashawq Formation north and north-east of Thaytiniti, Dhofar Governorate, Oman (for latitude, longitude and altitude, see App. 1). The large white area either side of the north-south road is the village of Aydim (map modified from Google Earth).
Aragón (Spain) forest map around interurban roads
<p>Shapefile that contain the forest map of a 500-meter buffer surrounding interurban roads of Aragón (Spanish autonomous region) with relevant information such as land use. Original data source is the The National Geographic Institute of Spain - IGN. If you are interested in any other Spanish region or the whole country, please do not hesitate to contact me and I will forward it to you.</p> <p>The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC).</p> <p>This dataset is the output of the land use analysis and the <a href="https://github.com/alba620/analisis-prediccion-accidentes-trafico-animales">code repository</a> is available on GitHub.</p>
Satellite images and road-reference data for AI-based road mapping in Equatorial Asia
<p><span>1. </span><span>INTRODUCTION</span></p> <p><span>For the purposes of training AI-based models to identify (map) road features in rural/remote tropical regions on the basis of true-colour satellite imagery, and subsequently testing the accuracy of these AI-derived road maps, we produced a dataset of 8904 satellite image 'tiles' and their corresponding known road features across Equatorial Asia (Indonesia, Malaysia, Papua New Guinea).</span><span> </span></p> <p><span>2. </span><span>FURTHER INFORMATION</span></p> <p><span>The following is a summary of our data. Fuller details on these data and their underlying methodology are given in the corresponding article, under consideration by the journal Remote Sensing as of September 2023: </span></p> <p><span>Sloan, S., Talkhani, R.R., Huang, T., Engert, J., Laurance, W.F. (2023) Mapping remote roads using artificial intelligence and satellite imagery. Under consideration by Remote Sensing.</span></p> <p><span>Correspondence regarding these data can be directed to:</span></p> <p><span>Sean Sloan</span></p> <p>Department of Geography, Vancouver Island University, Nanaimo, B.C, Canada</p> <p><span><a href="mailto:sean.sloan@viu.ca"><span>sean.sloan@viu.ca</span></a></span>; </p> <p><span>Tao (Kevin) Huang</span></p> <p>College of Science and Engineering, James Cook University, Cairns, Queensland 4878, Australia</p> <p><a href="mailto:tao.huang1@jcu.edu.au">tao.huang1@jcu.edu.au</a><span> </span></p>
Satellite images and road-reference data for AI-based road mapping in Equatorial Asia
Open the record for dataset details and reuse information.
Figure 7 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 7: Research output for the Southeast Asian region by thematic area presented as decadal totals.
Figure 4 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 4: Halophila sp. 2 collected in 1997 at a mangrove area of Teluk Sepinong, Sandakan, Sabah, Malaysia. Photo credit: © Japar Sidik.
Figure 2 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 2: Marine provinces and ecoregions of Southeast Asia, based on Spalding et al. (2007). Provinces are made out of ecoregions with the following codes: 20108 Northern Bay of Bengal; 20109 Andaman and Nicobar Islands; 20110 Andaman Sea Coral Coast; 20111 Western Sumatra; 20112 Gulf of Tonkin; 20114 South China Sea Oceanic Islands; 20115 Gulf of Thailand; 20116 Southern Viet Nam; 20117 Sunda Shelf/Java Sea; 20118 Malacca Strait; 20119 Southern Java; 20120 Cocos-Keeling/Christmas Island; 20126 Palawan/North Borneo; 20128 Sulawesi Sea/Makassar Strait; 20129 Halmahera; 20130 Papua; 20131 Banda Sea; 20132 Lesser Sunda; 20133 Northeast Sulawesi; 20139 Arafura Sea.
Figure 3 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 3: Halophila major from Tanjung Adang Laut, Sungai Pulai estuary, Johor (refer also to Nguyen et al. 2014 for morphological and genetic identification of the species). Photo credit: © Muta Harah.
Figure 8 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 8: Roadmap for addressing conservation challenges facing seagrass in the Southeast Asian region. Challenges can have multiple solutions and these solutions can contribute to a final aim. The challenges are listed at the bottom of the figure in red ovals and the final aims are at the top of the figure in blue boxes. Intermediate solutions are presented in the middle in green boxes. Dotted lines represent linkages betweeen the challenges and the intermediate solutions, with each dotted line colour coded specific to a challenge. Intermediate solutions that contribute to a final aim are joined by dashed and solid lines and colour coded.
Figure 1 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 1: Total population by country in Southeast Asia. Population figures derived from www.worldatlas.com.
Figure 6 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 6: Research output per decade by country/territory. Numbers based on searches on Web of Science and updated from Ooi et al. (2011a).
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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
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.