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13,117 results for “Maps”
MAP 5 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 5. Distribution map of Drasteria langi (Erschoff, 1874).
MAP 4 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 4. Distribution map of Drasteria sesquilina (Staudinger, 1888).
MAP 1 in Systematics and biogeography of the genus Scaria Bolívar, 1887 (Orthoptera: Tetrigidae: Batrachideinae)
MAP 1. Distributional records of Scaria species.
MAP 3 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 3. Distribution map of Drasteria scolopax (Alphéraky, 1892).
MAP 1 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 1. Distribution map of Drasteria cailino (Lefèbvre, 1827).
MAP 2 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 2. Distribution map of Drasteria sculpta (Püngeler, 1904).
MAP 24 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 24. Distribution map of Drasteria flexuosa (Ménétriés, 1849).
MAP 22 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 22. Distribution map of Drasteria tenera (Staudinger, 1877).
MAP 27 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 27. Distribution map of Drasteria mongoliensis Wiltschire, 1969.
MAP 15 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 15. Distribution map of Drasteria saisani (Staudinger, 1882).
MAP 21 in A revision of the genus Drasteria of Central Asia and Kazakhstan with special attention to the adjacent areas (Lepidoptera: Erebidae)
MAP 21. Distribution map of Drasteria aberrans (Staudinger, 1888).
MAP 1 in New taxonomic twists in shore flies as revealed in discovery of Neozealides, a new genus from New Zealand (Diptera: Ephydridae)
MAP 1. Neozealides irroratus.
Karst Sinkhole Detecting and Mapping Using Airborne LiDAR
<p>Corresponding data set for Tran-SET Project No. 18GTUNM01. Abstract of the final report is stated below for reference:</p> <p>"The focus of this study is to detect sinkhole hazards using airborne light detection and ranging (LiDAR) data. The premise is sinkholes, particularly those close to transportation infrastructure assets, could cause substantial damages to infrastructure assets, and therefore, being able to accurately and rapidly detect them is essential. However, it is expensive, time-consuming, labor-intensive, and unsafe to survey sinkholes using conventional ground observation methods. This research project was focused on developing accurate and rapid airborne LiDAR-based sinkhole detection and mapping methods, and transfer the technologies to transportation engineers for implementation and workforce development. The project team also identified best practices for implementation of a state-level sinkhole hazard management system (SHMS). In addition, a guidebook was developed for airborne LiDAR-based sinkhole detection and mapping for professional education and training.</p> <p>The effectiveness of LiDAR to detect existing sinkholes has received very limited attention. Most of the research on LiDAR-based sinkhole detection postulates that morphological-based surface feature extraction methods can effectively detect sinkholes because of their geometric properties – sinkholes are oval-shaped concave depressions in the Earth’s surface. However, sinkholes have varying sizes, shapes, and appearance given various landforms, which adds even greater challenges to further improving the detection accuracy of methods that are based solely on morphology; for example, a dry stock pond may be incorrectly detected as a sinkhole. The proposed research used airborne LiDAR data in combination with auxiliary context such as site and association to improve the accuracy of the morphological-based sinkhole detection methods, and implement these by developing tools that can be used in standard geographic information systems (GIS). This methodology allows for the development of a robust LiDAR-based sinkhole detection toolset that provides an adequate degree of accuracy while maximizing the ability to assist inspectors with varying expertise."</p>
Map 1 from: Shear WA, Steinmann DB (2019) Cave millipedes of the United States. XV. Coloradesmus gen. nov. (Diplopoda, Polydesmida, Macrosternodesmidae), and four new species from caves in Colorado, USA. Subterranean Biology 32: 15-32. https://doi.org/10.3897/subtbiol.32.38161
Map 1 Northwestern Colorado, showing the distribution of Coloradesmus species. Green area indicates Colorado Rocky Mountain Forest Ecoregion. Symbols may represent more than one locality as some caves are very close to one another. Stars, C. aquilensis, triangles, C. hopkinsae, squares, C. manitou, circles, C. buckleyi, hexagon, C. warneri.
Map from: Golovatch S, Likhitrakarn N, Prateepasen R, Panha S (2010) Review of the genus Tylopus Jeekel, 1968, with descriptions of five new species from Thailand (Diplopoda, Polydesmida, Paradoxosomatidae). ZooKeys 72: 23-68. https://doi.org/10.3897/zookeys.72.744
Map - Distribution of Tylopus species: 2 species (Myanmar), 26 species (Thailand), 2 species (Laos), 1 species (China), 13 species (Vietnam): 1 Yado: Tylopus doriae (Pocock, 1895). 2 Village of Thao: Tylopus silvestris (Pocock, 1895). 3 Pha Mon Cave: Tylopus grandis sp. n. 4 Doi Inthanon: Tylopus affinis Golovatch & Enghoff, 1993, Tylopus allorugosus Golovatch & Enghoff, 1993, Tylopus asper Golovatch & Enghoff, 1993, Tylopus degerboelae Golovatch & Enghoff, 1993,Tylopus haplorugosus Golovatch & Enghoff, 1993, Tylopus jeekeli Golovatch & Enghoff, 1993, Tylopus perarmatus Hoffman, 1973, Tylopus prosperus Golovatch & Enghoff, 1993, Tylopus parajeekeli sp. n. 5 Ban Mussoe: Tylopus semirugosus Golovatch & Enghoff, 1993. 6 Doi Suthep: Tylopus affinis Golovatch & Enghoff, 1993, Tylopus allorugosus Golovatch & Enghoff, 1993, Tylopus baenzigeri Golovatch & Enghoff, 1993, Tylopus degerboelae Golovatch & Enghoff, 1993, Tylopus doriae (Pocock, 1895), Tylopus hoffmani Golovatch & Enghoff, 1993, Tylopus jeekeli Golovatch & Enghoff, 1993, Tylopus perarmatus Hoffman, 1973, Tylopus similirugosus Golovatch & Enghoff, 1993, Tylopus subcoriaceus Golovatch & Enghoff, 1993. 7 Doi Chiang Dao: Tylopus degerboelae Golovatch & Enghoff, 1993, Tylopus perarmatus Hoffman, 1973, Tylopus rugosus Golovatch & Enghoff, 1993. 8 Umphang District: Tylopus bispinosus sp. n. 9 Doi Pha Hom Pok: Tylopus amicus Golovatch & Enghoff, 1993, Tylopus pallidus Golovatch & Enghoff, 1993, Tylopus perplexus Golovatch & Enghoff, 1993, Tylopus poolpermorum Golovatch & Enghoff, 1993, Tylopus extremus sp. n. 10 BuathongWaterfall: Tylopus rugosus Golovatch & Enghoff, 1993. 11 Doi Phatang: Tylopus degerboelae Golovatch & Enghoff, 1993, Tylopus perarmatus Hoffman, 1973. 12 Ban Pang Rim Kon: Tylopus perarmatus Hoffman, 1973. 13 Thum Pha Thai: Tylopus perarmatus Hoffman, 1973. 14 Phucheefah: Tylopus perarmatus Hoffman, 1973. 15 Nam Min Waterfall: Tylopus perarmatus Hoffman, 1973. 16 Tham Pha Nang Khoi: Tylopus perarmatus Hoffman, 1973. 17 Ton Tong Waterfall: Tylopus veliger sp. n. 18 Phu Kheio: Tylopus coriaceus Golovatch & Enghoff, 1993, Tylopus pulvinipes Golovatch & Enghoff, 1993. 19 Luang Prabang: Tylopus nodulipes (Attems, 1953), Tylopus mutilatus (Attems, 1953). 20 XiengKuang: Tylopus mutilatus (Attems, 1953). 21 Mengzi County: Tylopus sinensis Golovatch, 1995. 22 Mt Fan-Si-Pan: Tylopus nodulipes (Attems, 1953). 23 O quy ho: Tylopus crassipes Golovatch, 1984, Tylopus maculatus Golovatch, 1984, Tylopus magicus Golovatch, 1984, Tylopus procurvus Golovatch, 1984. 24 Tam Dao: Tylopus strongylosomoides (Korsós & Golovatch, 1989), Tylopus tamdaoensis Korsós & Golovatch, 1989. 25 Cuc Phuong Nature Reserve: Tylopus granulatus Golovatch, 1984, Tylopus hilaroides Golovatch, 1984, Tylopus topali Golovatch, 1984. 26 Bana: Tylopus hilaris (Attems, 1937). 27 Peak Langbiang: Tylopus mutilatus (Attems, 1953).
Alignment and mapping methodology impact transcript abundance estimation
<pre>SRR109.txt -> list of accession numbers used for experimental analysis. simulatedquants -> Bowtie2 pipeline quantification results on the 109 samples, that are used to simulate datasets for futher analysis. scriptsSimulate -> scripts to generate simulated data using the 109 quantification results on real data. The "runme.sh" file can be executed to generate a "data" folder with all the simulated reads and ground truth count and TPM values. table1Data -> fasta and true abundance files for 10 replicates of simulated data (from human transcriptome GENCODE v29) used to generate table 1 of the manuscript. table2Data -> fasta and true abundance files for 10 replicates of simulated data (from mouse transcriptome PWK variant) used to generate table 2 of the manuscript. refFastas -> the human and mouse reference fasta files containing the sequence-similar decoy sequences, which can be used to construct the salmon index for SA.</pre>
Leonardo Da Vinci Fraud Exposed - Worlds First Street Level Maps are from Armenian Kingdom of Cilicia in ancient Anatolia
<p>Leonardo Da Vinci Fraud Exposed - Worlds First Street Level Maps are from Armenian Kingdom of Cilicia in ancient Anatolia.</p> <p>There are few maps in possession of The Royal Collection Trust in England, which are attributed to Leonardo Da Vinci ( These maps have made up city names for the past 500 years, written on the original scripted words ), which are in fact maps of ancient Anatolia showing Burdur, Antalya, Isparta and Mersin provinces from 800 + years ago. For the last 500 years these have been classified as showing Tuscany valley in Italy, but after careful diligent research I have come to clear conclusion that these maps show provinces in Turkey and were a labor of multiple years to produce these maps, within Armenian Kingdom of Cilicia</p> <p>There are 2 main maps.</p> <ol> <li>“World of Castles”</li> <li>“Map of a Valley and a Lake”</li> </ol> <p>“<strong>World of Castles map</strong>” - Redefines history, Is of Armenian Kingdom of Cilicia in Anatolia. Present day Turkey. A map 250 years before Leonardo Da Vinci, Wrongly credited to him. This particular map (“World of Castles map”) took 3 + years to make, and is a work of team of around 3 map makers who travelled the vast Cilician empire in 12<sup>th</sup> Century AD, Mersin Province, Anatolia, present day Turkey. The Rubenids (Armenian: Ռուբինեաններ) were an Armenian dynasty who dominated parts of Cilicia, and who established the Armenian Kingdom of Cilicia.</p> <ul> <li>Maps were created before 1199 - 12<sup>th</sup> century AD as some castles after 1200 AD don’t show up in the maps. Queen Isabella, Queen of Armenia ruled till 1252 - 1219–1252, maps were still in Anatolian Cilicia, Armenian Kingdom of Cilicia. The Hethumids, ruled till 1373 AD, the maps were still in Anatolian Cilicia, Armenian Kingdom of Cilicia. War between the Ottoman sultan Bayezid I and Kadi Burhan al-Din, ruler of northeastern Anatolia occurred sometime in late 14<sup>th</sup> century, around that period these valuables from Rubenids Empire made its way to Cyprus, which was under Venetian rule. Greek merchants carried these maps for the next 75 + years.</li> <li>Leonardo was born in 1452, 250 Years had passed between his birth and the birth of these maps. All these valuable scientific material Codex’s, Maps originated at some point of time in ancient Anatolia and ended up in front of Leonardo Da Vinci, who never published these as he had no clue about the Armenian merchant script, nor does many researchers till this date. That’s the main reason why just guess work ended up wrongly crediting these maps for the last 500 plus years. </li> <li>The map shows Castles, Streets, Rivers, Swamps, wherever necessary for the map makers. Whatever the map makers saw in front of them was noted down in individual place maps, drawn and location/direction marked. These individual maps, about 100 of them, considering the vast regions and in depth travels were then combined to make the main map. The map of ‘World of Castles” roughly covers 4200 Sq. Km and is a street level map, showing trails in the area The team had to roam around all that area in order to note down the Castles, prior to 1199 AD. The language is Armenian Merchant Script. These maps were likely ordered by the rulers and facilitated Collection of taxes from merchants crisscrossing the lands.</li> <li>“<strong>Map of a Valley and a Lake</strong>” -The map shows village boundaries, Streets, Tree lines wherever necessary for the map makers. Castles are shown, rivers, mountains, lakes and trails. Whatever the map makers saw in front of them was noted down, drawn and location/direction marked. These individual maps, about 500 of them, considering the vast regions and in depth travels were then combined to make the main map. The map covers almost approximately 14500 Sq. miles / 37500 Sq. km. The language is Armenian Merchant Script. These maps were likely ordered by the rulers and facilitated Collection of taxes from merchants crisscrossing the lands. It would take almost 9 + years to just get the data including Individual places and about 6 months to just combine the individual places into one map.</li> <li>How this map ended up with Leonardo Da Vinci – Generations of Armenian merchants and Greek traders in Kingdom of Cilicia crisscrossed the land for trade and moved to Cyprus during forced migrations, running away from invaders, from there many generations sold and bought valuables including Oil Paintings, precious books, ornaments and special food products unique to their area. Many of these Greek merchants travelled to Italy to sell their products and thus the huge repository of Codex’s in Armenian merchant script along with the maps ended up in Italy. Wealthy people like Leonardo Da Vinci just obtained them even though not understanding the script or maps. </li> <li>The maps show Limnombria/Polydorion Lost city which became Burdur City later on.</li> <li>It shows city of Bucak, How it was 800 + years ago.</li> </ul> <p>Thank You</p> <p>Sukhwant Singh</p> <p>USA - Copyrighted</p>
Figure 1. Locality Map for Burke Museum sites B-9486 and B-9487 in Washington State (USA) trigoniids (Bivalvia) from the conglomerate of Patterson Lake (Early Cretaceous)
Figure 1. Locality Map for Burke Museum sites B-9486 and B-9487 on Patterson Mountain, and B-9541 on Rendezvous Road. Sites indicated by red stars. Conglomerate of Patterson Lake (cPL) highlighted in green. Specific locality details can be obtained from the UWBM or the author.
Fig. 3 Likelihood mapping and neighbor net for 16S. For further explanations, see Fig. 2 in Comparative phylogeography of the centipedes Cryptops pictus and C. niuensis (Chilopoda) in New Caledonia, Fiji and Vanuatu
Fig. 3 Likelihood mapping and neighbor net for 16S. For further explanations, see Fig. 2
Figure. Map of Iran in which Kurdistan Province and its counties are highlighted: 1. Baneh, 2. Saqqez, 3. Divandareh, 4. Bijar, 5. Qorveh, 6. Kamyaran, 7. Sarvabad, 8. Marivan, 9. Sanandaj (* Sanandaj City). in The fauna and ecology of mosquito larvae (Diptera: Culicidae) in western Iran
Figure. Map of Iran in which Kurdistan Province and its counties are highlighted: 1. Baneh, 2. Saqqez, 3. Divandareh, 4. Bijar, 5. Qorveh, 6. Kamyaran, 7. Sarvabad, 8. Marivan, 9. Sanandaj (* Sanandaj City).
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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.