ADMMR map collection: Calumet & Arizona Co. Oliver Geologic Map Level 1450 Floor 11; 1 in. to 50 feet; 48 x 34 in.
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All BPD data on Open Baltimore is preliminary data and subject to change. The information presented through Open Baltimore represents Part I victim based crime data. The data do not represent statistics submitted to the FBI's Uniform Crime Report (UCR); therefore any comparisons are strictly prohibited. For further clarification of UCR data, please visit http://www.fbi.gov/about-us/cjis/ucr/ucr. Please note that this data is preliminary and subject to change. Prior month data is likely to show changes when it is refreshed on a monthly basis. All data is geocoded to the approximate latitude/longitude location of the incident and excludes those records for which an address could not be geocoded. Any attempt to match the approximate location of the incident to an exact address is strictly prohibited.
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Survey summary map for the August 31, 2024 South Gillies and Oliver Lake, ON tornadoes. Ground survey conducted September 5-6, 2024. Map includes ground photos, drone photos, tornado centrelines, worst damage points, survey route and drone flight paths. All data are preliminary.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
A spatial indicator of ecological status for valuation of biodiversity across the UK, based on species occurrence records for eleven taxonomic groups (Bees, Birds, Bryophytes, Butterflies, Carabidae, Hoverflies, Isopoda, Ladybirds, Moths, Orthoptera and Vascular plants) was developed. UK species occurrence data were collated from the Biological Records Centre (BRC). The mean ecological status was calculated across all taxonomic groups for the 2000 to 2013 time period, relative to the species richness maximums from the 1970-1990 time period. This version supersedes the dataset 'UK ecological status map'.
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homo sapiens
fMRI-BOLD
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All available bathymetry and related information for Oliver Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Credit report of Oliver Trading Llc contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
All available bathymetry and related information for Oliver Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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WGS mapping results.
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Find out import shipments and details about Gary Oliver Import Data report along with address, suppliers, products and import shipments.
All available bathymetry and related information for Oliver Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Positive emotions vs neutral emotions
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homo sapiens
fMRI-BOLD
Emotion Recognition Task
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Stress maps show the orientation of the current maximum horizontal stress (SHmax) in the earth's crust. Assuming that the vertical stress (SV) is a principal stress, SHmax defines the orientation of the 3D stress tensor; the minimum horizontal stress Shmin is than perpendicular to SHmax. In stress maps SHmax orientations are represented as lines of different lengths. The length of the line is a measure of the quality of data and the symbol shows the stress indicator and the color the stress regime. The stress data are freely available and part of the World Stress Map (WSM) project. For more information about the data and criteria of data analysis and quality mapping are plotted along the WSM website at http://www.world-stress-map.org. The stress map of Great Britain and Ireland 2022 is based on the WSM database release 2016. All data records have been checked and we added a number of new data from earthquake focal mechanisms from the national earthquake catalog and borehole data. The number of data records has increased from n=377 in the WSM 2016 to n=474 in this map. Some locations and assigned quality of WSM 2016 data were corrected due to new information. The digital version of the map is a layered pdf generated with GMT (Wessel et al., 2019) using the topography of Tozer et al. (2019). We also provide on a regular 0.1° grid values of the mean SHmax orientation which have a standard deviation < 25°. The mean SHmax orientation is estimated using the tool stress2grid of Ziegler and Heidbach (2019). For this estimation we used only data records with A-C quality and applied weights according to data quality and distance to the grid points. The stress map is available at the landing page of the GFZ Data Services at http://doi.org/10.5880/WSM.GreatBritainIreland2022 where further information is provided.
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ESA WorldCover 10 m 2020 v100
The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes, aligned with UN-FAO's Land Cover Classification System, and has been generated in the framework of the ESA WorldCover project.
The WorldCover product is developed by a consortium lead by VITO Remote Sensing together with partners Brockmann Consult, CS SI, Gamma Remote Sensing AG, IIASA and Wageningen University
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Find out details of Oliver Charles Thomas exporting to United States.Shipments data from Global bill of Lading.
https://www.apache.org/licenses/LICENSE-2.0.htmlhttps://www.apache.org/licenses/LICENSE-2.0.html
Timely and up-to-date bathymetry maps over large geographical areas have been difficult to create, due to the cost and difficulty of collecting in situ calibration and validation data. Recently, combinations of spaceborne Ice, Cloud, and Elevation Satellite-2 (ICESat-2) lidar data and Landsat/sentinel-2 data have reduced these obstacles. However, to date, there have been no means of automatically extracting bathymetry photons from ICESat-2 tracks for model calibration/validation and no well-established open source workflows for generating regional scale bathymetric models. Here we provide an open source approach for generating bathymetry maps for the shallow water region around the island of Andros, Bahamas. We demonstrate an efficient means of processing 224 ICESat-2 tracks and 221 Landsat-8 scenes, using the classification of subaquatic height extracted photons (C-SHELPh) algorithm and Extra Trees Regression to provide 30 m pixel estimates of per-pixel depth and standard error. We map bathymetry with an RMSE of 0.32 m and RMSE% of 6.7%. Our workflow and results demonstrate a means of achieving accurate regional–scale bathymetry maps from purely spaceborne data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Credit report of Meier Jens Oliver contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Credit report of Oliver Petermann contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
"The map of Allotment 9, Section XII, Oliver & Humffray Streets. This map is georeferenced by CeRDI using a projective transformation ( linear rotation and translation of coordinates: scale 1:25000). More Information: www.access.prov.vic.gov.au, www.landata.vic.gov.au Author: City of Ballarat Owner: Department of Environment, Land, Water & Planning"
ADMMR map collection: Calumet & Arizona Co. Oliver Geologic Map Level 1450 Floor 11; 1 in. to 50 feet; 48 x 34 in.