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1,254 results for “pan”
Level A Pan Europe Solar Index for estimation of Potential evaporation June
Solar Index for estimation of Potential evaporation June. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Land-use, E-HYPE 2.5
Land use is given as the percentage of one of 9 land use classes within a subbasin (i.e. subbasin level). The classes are Water, Glacier/Snow, Urban area, Forest, Agricultural land, Other and > 500 m, Wetland, Tundra/Permafrost, Extensive grassland/pasture. This is also given as percentage of each land use class upstream of (and including) a subbasin (i.e. catchment level, mean area 215 km2). Original data source: CORINE Land Cover (CLC2000), GLC2000 Northern Eurasia v4.0, GLC2000 Asia v1.0, GLC2000 Europe v2.0, Euroland SoilSealing 2009. Tools for repurposing: WHIST. Data format: Table (Excel file) with unique subID which could be linked to the shapefile EHYPE_polygons_v2pt5.shp.
Level A Pan Europe Soils, E-HYPE 2.5
Describes soil type as one of 5 soils classes: Forest soil, Agricultural soil, Other and > 500 m (shallow), Rice soil, Organic soil. This is a temporary solution as soil-type from the European soils database (ESDB) had problems describing soil types over northern Europe. Soil type was instead inferred from land use class from the land use data provided on this site based on the assumption that landuse generally follows soil suitability. Data is presented as the percentage of each soil-type within each subbasin (i.e. subbasin level) OR the percentage of each soil-type distributed over the subbasin's total catchment (including basins upstream of the local subbasin) area of E-HYPE2.5 (i.e. catchment level, mean area 215 km2). Original data source: Based on the landuse data provided on this site. Rice fields according toCLC2000 and GLC2000 Asia, and average subbasin elevation according to HYDOSHEDS/HYDRO1K Tools for repurposing: WHIST. Data formate: Table (Excel file) with unique subID which could be linked to the shapefile EHYPE_polygons_v2pt5.shp.
Level A Pan Europe Solar Index for estimation of Potential evaporation October
Solar Index for estimation of Potential evaporation October. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Nutrients, point and diffuse sources, E-HYPE 2.5
Inputs of nitrogen and phosphorus (including fractions of the soluble P from urban point sources (PS1) , industrial point sources (PS3) and rural households (Loc). These values are calculated for each subbasin according to population in the subbasin, assumed connectivity to urban wastewater treatment or not, assumed emissions per person and assumed treatment levels (based on country). These can be downloaded as simulated load to the E-HYPE2.5 subbasins (= subbasin level, subbasin resolution = 215 km2) or as simulated load at the catchment, (subbasin and contribution from upstream area.) Original data source: HYDE population database, EEA treatment level method, EUROSTAT, HELCOM PLC5, E-PRTR. Tools for repurposing: WHIST. Data format: Table (Excel file) with unique subID which could be linked to the shapefile EHYPE_polygons_v2pt5.shp.
Level A Pan Europe Solar Index for estimation of Potential evaporation January
Solar Index for estimation of Potential evaporation January. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Solar Index for estimation of Potential evaporation December
Solar Index for estimation of Potential evaporation December. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning - Data
<p>Expression data used in manuscript <i>Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning</i></p>
Pan Arctic Species List (PASL) matching script
<p>This script matches a provided species list with the Panarctic Species List (PASL) (Raynolds et al, 2013) to obtain the commonly accepted scientific names of the plants, including short names and full names.</p> <p>Inputs:</p> <ul> <li>Species list: CSV file containing a list of species names, as provided by the geobotanist;</li> <li>PASL: a text file with the Panarctic Species List names, including the short and full scientific names of the plants (with synonyms).</li> </ul> <p>Outputs:</p> <ul> <li>A new file with the matched species list, including the short and full scientific names of the plants as found in the PASL.</li> </ul> <p><span>References:</span></p> <ul> <li> <span>Raynolds, M.K., Breen, A.L., Walker, D.A., Elven, R., Belland, R., Konstantinova, N., Kristinsson, H. & Hennekens, S. (2013). The Pan-Arctic Species List (PASL). </span>Arctic Vegetation Archive (AVA) Workshop.</li> </ul>
SUPPLEMENTARY (For MD) An integrative pan-genome and subtractive proteomics approach for the identification of potential novel therapeutic drug target against antibiotic resistant honeybee pathogen Paenibacillus larvae
<p><strong>Parameters</strong></p><p>Force field: AMBER ff19SB</p><p>Water type: TIP3P</p><p>Ions: NaCl </p><p>Ligand topology force field: GAFF2</p><p>Temperature: 298k</p><p>Pressure: 1 bar</p><p>minimization step: 20000 on 5 nanoseconds</p><p>initial velocity is changed by changing "ntx" and "ig"</p><p>C2: ntx = 5 , ig = 8</p><p>C3: ntx = 2 , ig = 5</p><p> </p><p><strong>Uploads</strong>- </p><p>1. Zip file of all 3 main files</p><p>2. Unzip file of C1 (Trajectory, PDB complex after each 10 ns run, and Mp4 video of Complex)</p><p>3. Zip file of C1</p><p>4. Unzip file of C2 (Trajectory, PDB complex after each 10 ns run, and Mp4 video of Complex)</p><p>5. Zip file of C2</p><p>6. Unzip file of C3 (Trajectory, PDB complex after each 10 ns run, and Mp4 video of Complex)</p><p>7. Zip file of C3</p><p>8. Zip and unzip file of <strong>Initial</strong> PDB of complex prior to MD simulation with <strong>Post</strong> MD PDB (C1, C2, C3)</p><p>9. Zip file of <strong>topology</strong> files for C1, C2, and C3</p>
Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P50 (2001): Reflectances bands, NDVI and NDWI
<h2><strong>Data information</strong></h2> <p>This dataset provides the P50 (median) values of corresponding predictors for the year 2001. The median values are calculated from the bimonthly values of six corresponding predictors throughout the year. The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; as well as two spectral indices: NDVI and NDWI.</p> <h2><strong>As a part of a Data Cube</strong></h2> <p>This data represents a subset of the <a href="../records/10776892">Time-series of Landsat-based Spectral Indices (EU, 30m) data cube</a>. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.</p> <ul> <li>To cite this dataset, refer to the DOI available on the landing page.</li> <li>To access other data layers in the data cube, use the navigation catalog on the landing page as well.</li> </ul> <h2><strong>Support</strong></h2> <p>If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a <a href="https://github.com/AI4SoilHealth/SoilHealthDataCube/issues">Github Issue</a>!</p>
Figure 8 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 8. Strict consensus tree of 135 equally optimal trees, obtained from the maximum parsimony analysis of 40 taxa and 95 characters. Tree length = 327 steps; consistency index = 0.361; and retention index = 0.605.
Figure 7 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 7. Skull of a Pan-Trionychidae referred to Striatochelys baba, Na Duong Formation, middle to upper Eocene, Vietnam. Skull of GPIT-PV-122870 in A, dorsal and B, ventral views. Scale bar equals 1 cm.
Figure 6 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 6. Striatochelys baba, holotype, Na Duong Formation, middle–upper Eocene, Vietnam. Left pectoral girdle (GPIT-PV-112860-7) in A, dorsal and B, ventral views. Cervical vertebra (GPIT-PV-112860-6) in C, dorsal and D, ventral views. Left humerus (GPIT-PV-112860-8) in E, dorsal, F, ventral, G, anterior and H, posterior views. Right radius (GPIT-PV-112960-9) in I, dorsal and J, ventral views. Left ulna (GPIT-PV-112860-10) in K, dorsal and L, ventral views. Phalanx (GPIT-PV-112860-11) in M, dorsal and N, ventral views. Abbreviations: acd, anterior condylus; ap, acromion process; ca, capitellum; cor, coracoid; dp, dorsal process; gf, glenoid fossa; hh, humerus head; if, intertubercular fossa; lp, lateral process; mp, medial process; ph, phalanx; prz, prezygapophysis; pz, postzygapophysis; sc, scapula. Scale bar equals 1 cm.
Figure 3 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 3. Striatochelys baba, GPIT-PV-122867, Na Duong Formation, middle–upper Eocene, Vietnam. Carapace in A, B, dorsal and C, D, ventral views. Abbreviations: alp, anterolateral process; co, costal; dr, dorsal rib; hyo, hyoplastron; hyp, hypoplastron; ne, neural; plp, posterolateral process; tv, thoracic vertebra. Scale bar equals 5 cm.
Figure 1 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 1. Map of northern Southeast Asia, showing the Na Duong Basin in north-east Vietnam and the Maoming Basin in southern China. The map was created using the Generic Mapping Tools program (Wessel et al., 2019).
Figure 2 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 2. Striatochelys baba, holotype, GPIT-PV-112860-1, Na Duong Formation, middle–upper Eocene, Vietnam. Carapace in A, B, dorsal and C, D, ventral views. Abbreviations: co, costal; cp, costiform process; dr, dorsal rib; ne, neural; nu, nuchal; tv, thoracic vertebra; xi, xiphiplastron. Scale bar equals 5 cm.
Figure 5 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 5. Striatochelys baba, Na Duong Formation, middle–upper Eocene, Vietnam. Plastron of holotype (GPIT-PV-112860-2, GPIT-PV-112860-3, GPIT-PV-112860-4, GPIT-PV-112860-5, GPIT-PV-112860-1) in A, B, dorsal and C, D, ventral views. Missing bones are mirrored and faded. Right medial hypoplastron fragment (GPIT-PV-122873) in E, dorsal and F, ventral views. Left xiphiplastron (GPIT-PV-122866) in G, dorsal and H, ventral views. Abbreviations: alp, anterolateral process; amp, anteromedial process; ent, entoplastron; hyo, hyoplastron; hyp, hypoplastron; plp, posterolateral process; xi, xiphiplastron. Scale bars equal A–D, 5 cm; E–H, 1 cm.
Figure 4 in A new cryptodire from the Eocene of the Na Duong Basin (northern Vietnam) sheds new light on Pan-Trionychidae from Southeast Asia
Figure 4. Striatochelys baba, Na Duong Formation, middle–upper Eocene, Vietnam. Carapace of GPIT-PV-122872 in A, dorsal and B, ventral views. Carapace of GPIT-PV-112862 in C, dorsal and D, ventral views. Carapace of GPIT-PV-112861 in E, dorsal and F, ventral views. Carapace of GPIT-PV-122879 in G, dorsal and H, ventral views. Abbreviations: co, costal; dr, dorsal rib; ent, entoplastron; epi, epiplastron; hyo, hyoplastron; hyp, hypoplastron; ne, neural; nu, nuchal; tv, thoracic vertebra. Scale bar equals 1 cm.
Anchoring pan-scalar map Agile Dataset
<p>This dataset contains data used for the design of anchored pan-scalar maps in Madison and Chambery. Anchoring pan-scalar maps means improving the saliency and memorability of some cartographic elements, i.e. the pan-scalar anchors, to enhance the navigational cues that can be used for self-localization during or after a zoom in a map.</p> <ul> <li>Madison :</li> </ul> <ol> <li>VECTORSQUELETON : This folder contains the digitized data used to create map skeletons at different zoom levels in Madison.(12,13,14,15,16)</li> <li>ANCHOR TRAINLINE : This folder contains the map anchor generalized train line zoom 12,13,14,15,16<br>(12,13,14,15,16) pou madison</li> <li>ANCHOR PENINSULA :This folder contains the peninsula map anchor generalized to zoom 12,13,14,15,16 for Madison.</li> <li>...</li> </ol> <ul> <li>QGIS Project : Qgis project to make the squeleton map</li> <li>Illustration : </li> <li>Web : Anchoring map from madison</li> <li>Scalemaster : Scaleline of madison for anchoring</li> <li>Globalscaline : Scaleline on the global aspect of pan-scalar map</li> </ul>
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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.