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13,117 results for “Maps”
Map 1 in Contributions to the herpetofauna of the Angolan Okavango-Cuando-Zambezi River drainages. Part 2: Lizards (Sauria), chelonians, and crocodiles
Map 1. Distribution of Acanthocercus cf. cyanocephalus in Angola. Historical records are indicated by white dots while all new records are indicated by black dots. Axis values are in degrees (°). Purple polygon – Okavango River basin, blue polygon – Cuando River basin, brown polygon – Zambezi River basin.
Fig. 1. Locality map and outcrop photographs. A in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 1. Locality map and outcrop photographs. A. Locality map of the Utagoesawa Creek site, Hatonosu, Yubari City, Hokkaido, Japan. Also shown is the location of the Omagari seep site. Solid pattern is the outcrop area of the Cretaceous Yezo Group strata. B. Outcrop photograph of an Utagoesawa Creek carbonate body showing large Caspiconcha sp. and/or probable lucinid bivalve fossils. C. Locality map of hydrocarbon seeps in California. Subpanel shows locality map of the Eagle Creek site, Ono, California, USA. Solid circle with number indicates Caspiconcha bearing sites. 1, Eagle Creek; 2, Cold Fork of Cottonwood Creek; 3, Paskenta; 4, Bear Creek; 5, Wilbur Springs; 6, east of Knoxville (exact place is unknown); +
Map B 1 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Map B 1. number of records per UTM 10 x 10 km square in the dataset for the analysis of the phenology.
Map B 1 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Map B 1. Number of records per UTM 10 x 10 km square in the dataset for the analysis of the habitat preferences.
Fig. 1. Location map and the geological section. A in A new Y-shaped trace fossil attributed to upogebiid crustaceans from Early Pleistocene of Italy
Fig. 1. Location map and the geological section. A. The study region on the map of Italy. B. Location of the study area. C. Location of the studied section. D. The studied section with indication of Parmaichnus stironensis igen. nov. et isp. nov.
Fig. 3. Locality maps. A in The middle to late Eocene evolution of nummulitid foraminifer Heterostegina in the Western Tethys
Fig. 3. Locality maps. A. Geographical position of the samples studied. B. Detailed location of the Mossano samples (Italy) drawn after Papazzoni and Sirotti (1993). C. Detailed location of samples from Verona, Castel San Felice (Italy). D. Detailed location of the Úrhida samples (Hungary). E. Detailed location of the Şarköy samples (Turkey).
Fig. 1. Maps showing the fossiliferous seep deposits. A. The Albian Ponbetsu site. B. The Campanian Yasukawa and Omagari sites. C. The Cenomanian Kanajirisawa site. D in Bivalves from Cretaceous cold-seep deposits on Hokkaido, Japan
Fig. 1. Maps showing the fossiliferous seep deposits. A. The Albian Ponbetsu site. B. The Campanian Yasukawa and Omagari sites. C. The Cenomanian Kanajirisawa site. D. Overview.
Fig. 1. Medauromorpha gen. nov. spp., distribution maps. A, M in The new stick insect genus Medauromorpha gen. nov. with one new species from Vietnam and notes on Medauroidea Zompro, 2000 (Phasmida: Phasmatidae: Clitumninae)
Fig. 1. Medauromorpha gen. nov. spp., distribution maps. A, M. baviensis sp. nov. and M. regina (Brunner von Wattenwyl, 1907) comb. nov. B, M. foedata (Brunner von Wattenwyl, 1907) comb. nov.
Fig. 1. Early Jurassic map illustrating the previously studied areas for ventrally damaged ammonoids. 1 in Low durophagous predation on Toarcian (Early Jurassic) ammonoids in the northwestern Panthalassa shelf basin
Fig. 1. Early Jurassic map illustrating the previously studied areas for ventrally damaged ammonoids. 1, Dotternhausen, Germany (Taverne 2000; Klompmaker et al. 2009); 2, Lyme Regis, England (Andrew et al. 2010). The Toyora area was located in the northwestern part of the Panthalassa. Palaeogeographical map after Scotese (2001).
Fig. 1. Maps indicating studied localities. A in New finds of skeletal fossils in the terminal Neoproterozoic of the Siberian Platform and Spain
Fig. 1. Maps indicating studied localities. A. Map of Uchur−Maya region showing reference sections of the Yudoma River: 1, Nuuchchalakh; 2, Kyyry−Ytyga; 3, Ust'−Yudoma (Suvorovella and Majaella locality). Inset map indicates location within Siberian Platform. B. Pre−Hercynian outcrops and tectonostratigraphic zones of Iberian Peninsula. Valdelacasa, Ibor, Navalpino, and Abenójar anticlines are outlined. Zones: CZ, Cantabrian; ELAZ, East Lusitanian–Alcudian; GCZ, Galician–Castilian; OMZ, Ossa−Morena; SPZ South Portuguese; WALZ, West Asturian−Leonese.
Fig. 1. Maps indicating the sampling locality within South Africa. A in Camallanid nematodes from Clarias gariepinus (Burchell, 1822) in the Crocodile River, Gauteng, South Africa: Exploring diversity and divergence in an acid-mine drainage impacted environment
Fig. 1. Maps indicating the sampling locality within South Africa. A- Map of Africa. B- Map of South Africa; red square highlighting area of interest. C- Map of Crocodile River flowing from Lake Heritage (sampling site) to Hartbeespoort Dam further downstream.
Fig. 4 in Mapping a brain parasite: occurrence and spatial distribution in fish encephalon
Fig. 4. Transmission electron micrographs showing the tegument and capsule walls of metacercariae of Cardiocephaloides longicollis. A and F illustrate the capsule wall of monocyst and multicyst metacercariae; B and I represent diagrams of monocyst and multicyst metacercariae showing the location of the following TEM micrographs. C – E Longitudinal section through the capsule wall and tegument of a monocyst. G, H, J-M Longitudinal section through the inner capsule wall and tegument of a multicyst metacercaria. D, E, J-M Detail of necrotic material accumulated on the capsule wall surrounding the metacercaria. K, Detail of inner capsule walls merging together within a multicyst. CW, capsule wall; F, fibrocyte; Gx, glycocalyx; GxF, glycocalyx filaments; ICW, inner capsule wall; M, metacercaria; M1- M3 number of metacercaria in a multicyst; MA, macrophage; Mt, metacercarial tegument; N, nucleus; NC, necrotic cells. Head arrows indicate glycocalyx filaments, asterisks (*) outside of the cyst, (**) inside of the cyst, (***) inside of the cyst when encysted with more than one capsule wall. Scale bars: D, E = 1 μm; C, G, H, J, L, M = 5 μm; K = 10 μm.
Fig. 3 in Mapping a brain parasite: occurrence and spatial distribution in fish encephalon
Fig. 3. Occupation of the fish brain by Cardiocephaloides longicollis in fresh (A, B) and histological samples (C–F). Cardiocephaloides longicollis metacercariae within (A) the PGZ and (B) the medulla oblongata in experimentally-infected fish one month after infection. Asterisks indicate the position of metacercariae. Cardiocephaloides longicollis metacercariae are found at 6 dpi in the tectal ventricle (C), and as they grow (D, 21 dpi; E, 8 mpi; F, 15 mpi) they occupy larger part of the tectal ventricle, and also the PGZ. The representations of brains indicate the sections and positions (yellow square) where metacercariae have been found. Legend: TeO striped, cerebellum in dots and Mo squared. ICL, inferior cerebellar lobe; Mo, medulla oblongata; PGZ, periventricular gray zone of optic tectum; TeO, tectum opticum; TV, tectal ventricle. Scale bars: A = 300 μm; B = 450 μm; C–F = 200 μm. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Mapping a brain parasite: occurrence and spatial distribution in fish encephalon
Fig. 1. Distribution of metacercariae of Cardiocephaoides longicollis in the different fish brain regions, i.e., olfactory bulbs (Olf-B), olfactory lobes (Olf-L), optic lobe region (Op-L), inferior and superior cerebellar lobes (ICL, SCL), medulla oblongata (Mo), and spinal cord (SC). Metacercarial distribution in different fish species sampling locations are provided. N, number of infected brains used for metacercarial distribution; P, prevalence (based on total number of fish, see Table 1); MI, mean intensity. Note that the number of metacercariae in the brain of fish from the marine pond is based only of half brain (see Materials and methods).
Fig. 2 in Mapping a brain parasite: occurrence and spatial distribution in fish encephalon
Fig. 2. Variation in the number of metacercariae of Cardiocephaloides longicollis encysted in different fish groups. Box plots represent the median number of metacercariae per brain region, upper and lower quartile (box) with maximum and minimum ranges (whiskers). Olfactory bulbs (Olf-B), olfactory lobes (Olf-L), optic lobe region (Op-L), inferior and superior cerebellar lobes (ICL, SCL), medulla oblongata (Mo), and spinal cord (SC). Y-axis is represented in logarithmic scale, and dots represent jittered raw data.
FIGURE 1. Locality maps and a in Balaenoptera edeni skull from the Holocene (Quaternary) of Osaka City, Japan
FIGURE 1. Locality maps and a stratigraphic section at the locality. 2, restoration of the Kawachi Bay following Osaka City Cultural Properties Association (2008). 3, the columnar section at OMNH-QV4816 locality, which was modified from a boring survey report in 1965.
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations in Zoobenthos of the Komsomolsky Nature Reserve watercourses: Quantitative distribution
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations
Expansion Cones Dataset for Robust Tetrahedral Mapping Evaluation
<p>This record stores the dataset used by the <a href="https://www.algohex.eu/publications/expansion-cones/">"Expansion Cones"</a> paper.<br>This paper presents a volumetric mapping method called <em>Shrink-And-Expand</em> (SAE for short).<br>Its robustness was evaluated by mapping ~3'000 ball-topology meshes to 4 different target boundaries (spherical, tetrahedral, "stiff" tetrahedral and random star-shaped). Other tetrahedral mapping methods can be evaluated by using the rest meshes and either of the target boundaries.</p> <p>The record is structured as follows:</p> <ul> <li>`ball_topology_tet_wild_ovm_format`: all input meshes in their original shapes, in <a href="https://www.graphics.rwth-aachen.de/software/openvolumemesh/">.ovm</a> format. These consists of the <a href="https://github.com/Yixin-Hu/TetWild">TetWild</a> dataset, restricted to ball-topology meshes. If you need to convert the meshes to another format, you can use Martin Heistermann's <a href="https://github.com/mheistermann/meshio">fork</a> of <a href="https://pypi.org/project/meshio/">meshio</a>.<br>NOTE: Those meshes were pre-processed by splitting all <strong>interior</strong> edges connecting two boundary vertices and all <strong>interior</strong> faces connecting three boundary vertices. This was done to satisfy the prerequisites of our method.</li> <li>`XXX_boundary_conditions.zip`: boundary conditions for the 4 boundary shapes: tetrahedral, "stiff" tetrahedral, ball and random star-shape. Please read the related paper for more details about the boundary types.<br>Those boundary conditions are stored as `.txt` files, each containing a list of boundary vertices indices, along with their prescribed positions.</li> </ul> <p>The other archives contain data used to compare SAE with two other volumetric mapping methods called <a href="https://github.com/duxingyi-charles/lifting_simplices_to_find_injectivity"><em>Total Lifted Conten</em>t (TLC)</a> and <a href="https://dl.acm.org/doi/abs/10.1145/3450626.3459847">FoldOver-Free (FOF)</a></p> <ul> <li> `SAE_results/expansion_data`: All `.json` files corresponding to executions of our method (SAE) on those meshes.</li> <li> `SAE_results/quality_stats`: conformal and volumetric distortion values for _all_ cells of _all_ meshes.</li> <li>`TLC_FOF_results`: For each mesh and each competitor method (and each boundary map), there are 1 to 3 files, depending on the results of running those methods. <ul> <li>`TLC/FOF_timing_s.txt` gives the number of seconds it took to run</li> <li>`TLC/FOF_stats.txt` stores the following data: `[mesh name, #vertices, #edges, #faces, #cells, #degenerate cells after running the method, #flipped cells after running the method]`. This file only exists if the method terminated within the 12hours time limit.</li> <li>`TLC/FOF_quality_stats.txt` lists the conformal and volumetric distortion of each individual cell in the resulting map produced by the competitor methods (one line per cell), This file only exists if the method produced a valid map.</li> </ul> </li> </ul> <p> </p> <p><strong>NOTE</strong>: If you want to download the codomain meshes, with prescribed boundary positions already set. you can find them in the v2.0 of this same dataset.</p>
Weak lensing maps for a pair of point masses in MOND
<p>Figures for the paper: "<span>Peculiar dark matter halos inferred from gravitational lensing as a</span><br><span>manifestation of modified gravity</span>", accepted by Astronomy and Astrophysics on 31/7/2024.</p>
High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data
<p>We developed Pan-European maps of timber volume (V), above-ground biomass (AGB), and deciduous-coniferous proportion (DCP) with a pixel size of 10 x 10 m<sup>2</sup> for the reference year 2020 using a combination of a Sentinel 2 mosaic, Copernicus layers, and National Forest Inventory (NFI) data.</p> <p>For mapping, we used the k-Nearest Neighbor (kNN, k=7) approach with a harmonized database of species-specific V and AGB from 14 NFIs across Europe. This database encompasses approximately 151,000 sample plots, which were intersected with the above-mentioned Earth observation data. The maps cover 40<a> European countries, </a>forming a continuous coverage of the western part of the European continent.</p> <p>A sample of 1/3 of NFI plots was left out for validation, whereas 2/3 of the plots were used for mapping. Maps were created independently for 13 multi-country processing areas. Root-mean-squared-errors (RMSEs) for AGB ranged from 53 % in the Nordic processing area to <a>73 % </a>the South-Eastern area.</p> <p>The created maps are the first of their kind as they are utilizing a huge amount of harmonized NFI observations and consistent remote sensing data for high-resolution forest attribute mapping. While the published maps can be useful for visualization and other purposes, they are primarily meant as auxiliary information in model-assisted estimation where model-related biases can be mitigated, and field-based estimates improved. Therefore, additional calibration procedures were not applied, and especially high V and AGB values tend to be underestimated. Summarizing map values (pixel counting) over large regions such as countries or whole Europe will consequently result in biased estimates that need to be interpreted with care.</p> <p>The author list is sorted by last name except for the first and last authors who also serve as corresponding authors.</p> <p>Corresponding authors: <a href="mailto:Jukka.Miettinen@vtt.fi">Jukka.Miettinen@vtt.fi</a>, <a href="mailto:Johannes.Breidenbach@nibio.no">Johannes.Breidenbach@nibio.no</a></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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.
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.