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13,117 results for “Maps”
Map. Distribution of Micomitra stupida (Rossi, 1790) on data in Zaitzev [1966]; Evenhuis, Greathead [2015] and the collection of the Zoological institute of Russian Academy of Sciences. Карта. Распространение Micomitra stupida (Rossi, 1790) по данным иЗ Зайцева [1966]; Evenhuis, Greathead [2015] и коллекционным материалам Зоологического института РАН. in First record of a bee fly (Diptera: Bombyliidae) parasitic on antlions (Myrmeleontidae) in Russia
Map. Distribution of Micomitra stupida (Rossi, 1790) on data in Zaitzev [1966]; Evenhuis, Greathead [2015] and the collection of the Zoological institute of Russian Academy of Sciences. Карта. Распространение Micomitra stupida (Rossi, 1790) по данным иЗ Зайцева [1966]; Evenhuis, Greathead [2015] и коллекционным материалам Зоологического института РАН.
FIGURE 64. Distribution maps for the South American euryrhynchids Euryrhynchus pemoni Pereira, 1985 in The freshwater shrimp family Euryrhynchidae Holthuis, 1950 (Crustacea: Decapoda: Caridea) revisited, with a taxonomic revision of the genus Euryrhynchus Miers, 1878
FIGURE 64. Distribution maps for the South American euryrhynchids Euryrhynchus pemoni Pereira, 1985 (A) and Euryrhynchus taruman sp. nov. (B). The corresponding localities for each point on the maps are indicated on the Appendix 1F, G.
FIGURE 63. Distribution maps for the South American euryrhynchids Euryrhynchus amazoniensis Tiefenbacher, 1978 in The freshwater shrimp family Euryrhynchidae Holthuis, 1950 (Crustacea: Decapoda: Caridea) revisited, with a taxonomic revision of the genus Euryrhynchus Miers, 1878
FIGURE 63. Distribution maps for the South American euryrhynchids Euryrhynchus amazoniensis Tiefenbacher, 1978 (A) and Euryrhynchus burchelli Calman, 1907 (B). The corresponding localities for each point on the maps are indicated on the Appendix 1D, E.
Plasticity study map
<p>Figure 1.</p> <p>Launes J, Hokkanen L, Laasonen M, Tuulio-Henriksson A, Virta M, Lipsanen J, Tienari PJ, Michelsson K. (2014) Attrition in a 30-year follow-up of a perinatal birth risk cohort: factors change with age. PeerJ 2:e480 <a href="https://doi.org/10.7717/peerj.480">https://doi.org/10.7717/peerj.480</a></p> <p> </p> <p> </p>
Supplementary material 2 from: Bicking S, Burkhard B, Kruse M, Müller F (2018) Mapping of nutrient regulating ecosystem service supply and demand on different scales in Schleswig-Holstein, Germany. One Ecosystem 3: e22509. https://doi.org/10.3897/oneeco.3.e22509
Average yield (in t/ha) of agricultural crops in Schleswig-Holstein in 2010 (data from Statistikamt Nord 2010), nitrogen content (in kg N/dt fresh weight) of crop plants (data from DüV 2007) and corresponding estimated nitrogen content per hectare.
Supplementary material 3 from: Bicking S, Burkhard B, Kruse M, Müller F (2018) Mapping of nutrient regulating ecosystem service supply and demand on different scales in Schleswig-Holstein, Germany. One Ecosystem 3: e22509. https://doi.org/10.3897/oneeco.3.e22509
Relevant nitrogen application and input rates considering nitrogen losses (data from Landwirtschaftskammer Niedersachsen 2017b).
Supplementary material 1 from: Bicking S, Burkhard B, Kruse M, Müller F (2018) Mapping of nutrient regulating ecosystem service supply and demand on different scales in Schleswig-Holstein, Germany. One Ecosystem 3: e22509. https://doi.org/10.3897/oneeco.3.e22509
Nitrogen excretion (in kg N/year) of livestock (data from the Ministerium für Landwirtschaft, Umwelt und Verbraucherschutz Mecklenburg-Vorpommern 2008)
Supplementary material 1 from: Palomo-Campesino S, Palomo I, Moreno J, González J (2018) Characterising the rural-urban gradient through the participatory mapping of ecosystem services: insights for landscape planning. One Ecosystem 3: e24487. https://doi.org/10.3897/oneeco.3.e24487
List of the 19 socio-demographic and ecological parameters used for the study area clustering and their values for each municipality of the study area.
Supplementary material 2 from: Palomo-Campesino S, Palomo I, Moreno J, González J (2018) Characterising the rural-urban gradient through the participatory mapping of ecosystem services: insights for landscape planning. One Ecosystem 3: e24487. https://doi.org/10.3897/oneeco.3.e24487
Eigenvalue, percentage of explained variablity and accumulated percentage of explained variability of the five factors (with an eingenvalue higher than 1) result of the PCA analysis and used for the HCA analysis.
Supplementary material 3 from: Palomo-Campesino S, Palomo I, Moreno J, González J (2018) Characterising the rural-urban gradient through the participatory mapping of ecosystem services: insights for landscape planning. One Ecosystem 3: e24487. https://doi.org/10.3897/oneeco.3.e24487
Factors' loadings for each of the 19 socio-demographic and ecological variables analysed. Values in bold are statistically significant at P>0.05.
A 1-km resolution monthly mean air temperature (Ta) dataset across the Tibetan Plateau during 2001-2015, related with the article "Mapping monthly air temperature in the Tibetan Plateau from MODIS data based on machine learning methods".
<p>We present a 1-km resolution monthly mean air temperature (Ta) dataset across the Tibetan Plateau from 2001 to 2015. It ranges from 25°-45°N, 70°-105°E, covering a total area of ~7,045,000 km2. To develop this dataset, 10 machine learning algorithms were applied to 11 environmental variables derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data, Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data and topographic index data. The best model generated by Cubist algorithm was finally selected to calculate monthly mean Ta, and achieved an overall accuracy of RMSE= 1.00 °C and MAE= 0.73 °C. To get details of this dataset, please refer to the manuscript "Mapping monthly air temperature in the Tibetan Plateau from MODIS data based on machine learning methods". This Ta dataset provides spatially continuous coverage compared with station observed data, and has much higher accuracy and spatial resolution than reanalysis datasets, making it a useful dataset for climate change and environmental studies in the Tibetan Plateau.</p> <p>Xu Y., Knudby A., Shen Y., Liu Y., Mapping monthly air temperature in the Tibetan Plateau from MODIS data based on machine learning methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(2): 345-354. (DOI: 10.1109/jstars.2017.2787191).</p> <p>The Ta dataset is provided in ENVI standard format. The coordinate system is WGS84 Geographic Coordinate System.</p>
Supplementary material 1 from: Maes J, Liekens I, Brown C (2018) Which questions drive the Mapping and Assessment of Ecosystems and their Services under Action 5 of the EU Biodiversity Strategy? One Ecosystem 3: e25309. https://doi.org/10.3897/oneeco.3.e25309
This supplement contains three tables with policy (Table1), business (Table 2) and societal (Table 3) questions.
Geographic Information System of structural elements in the Niobe-Aphrodite Map Area of Venus: a tool for structural and geologic analysis.
<p>The Niobe Aphrodite Map Area covers over 25% of the surface of Venus and extends from 57N to 57S and 60E to 180E. The structural-element map presented here is derived from the1:10 M-scale geologic maps of Niobe Planitia, U.S. Geological Survey I-2467 and Aphrodite Terra, U.S. Geological Survey I-2476. Both maps are in various stages of review and revision overseen by the U.S. Geological Survey on behalf of NASA.</p> <p>Here we present a Geographic Information System (GIS) that contain the different structural elements of the area (deformation structures and lithodemic units), that can be used to analyze relationships between and among suites of structural elements across this large portion of Venus’ surface.</p> <p>Base images and data on which determination of the structural element determination is based can be accessed and downloaded directly in GIS-ready formats through the USGS Map a Planet website (https://astrogeology.usgs.gov/tools/map-a-planet-2).</p>
Supplementary material 1 from: Hody JW, Kays R (2018) Mapping the expansion of coyotes (Canis latrans) across North and Central America. ZooKeys 759: 81-97. https://doi.org/10.3897/zookeys.759.15149
Detailed list of references and data sources : Explanation note: List of references used to determine historical extent and regional first-occurrences of coyotes (Canis latrans) in North and Central America.
qFit-ligand reveals widespread conformational heterogeneity of drug-like molecules in X-ray electron density maps
<p>Benchmark dataset and prospective cases tested for the development of <em>qFit-ligand</em>. Files included: refined single conformer models, un-refined qFit-ligand multiconformer models, and refined qFit-ligand multiconformer models. </p>
FIGURE 7. Map showing collection sites for Cerapus slayeri n in Two new species of Cerapus (Crustacea: Amphipoda: Ischyroceridae) from the Northwest Atlantic and Gulf of Mexico
FIGURE 7. Map showing collection sites for Cerapus slayeri n. sp. in the Northwest Atlantic. The black square in Delaware Bay represents the type locality.
MAP 6 in Revision of the Oriental species of Calleida Latreille (sensu lato). Part 1: Introduction, groups of species, and species of six species groups (Coleoptera: Carabidae: Lebiini)
MAP 6 Distributions for species in the C. doriae group: C. doriae Bates (blue); C. rapax Andrewes (red).
MAP 4 in Revision of the Oriental species of Calleida Latreille (sensu lato). Part 1: Introduction, groups of species, and species of six species groups (Coleoptera: Carabidae: Lebiini)
MAP 4 Distributions for species in the C. terminata group: C. terminata Waterhouse (green); C. corporaali Andrewes (blue); C. viet sp. n. (red).
MAP 3 in Revision of the Oriental species of Calleida Latreille (sensu lato). Part 1: Introduction, groups of species, and species of six species groups (Coleoptera: Carabidae: Lebiini)
MAP 3 Distributions for species in the C. lativittis group: C. lativittis Chaudoir (green); C. excelsa Bates (blue); C. jelineki sp. n. (red).
Map of Sri Lanka, showing inscription sites.
<p>Map of Sri Lanka, showing inscription sites, with site numbers identified.</p>
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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.