CBMT EN The Canada Base Map - Transportation (CBMT). This web mapping service provides spatial reference context with an emphasis on transportation networks. It is designed especially for use as a background map in a web mapping application or geographic information system (GIS). Access is free of charge under the terms of the following licence: Open Government Licence – Canada - http://open.canada.ca/en/open-government-licence-canada. Its data source is the CanVec product which is available on Open Government web site with title Topographic data of Canada - CanVec Series (http://open.canada.ca/data/en/dataset/8ba2aa2a-7bb9-4448-b4d7-f164409fe056).

The dataset consists of Haematoxylin and Eosin stained histology images at 20x objective magnification (~0.5 microns/pixel) from 6 different data sources. For each image, an instance segmentation and a classification mask is provided. Within the dataset, each nucleus is assigned to one of the following categories:

• Epithelial
• Lymphocyte
• Plasma
• Eosinophil
• Neutrophil
• Connective tissue For more information on the dataset and the associated categories, we encourage participants to read the original dataset paper.

Data Format

Our provided patch-level dataset contains 4,981 non-overlapping images of size 256x256 provided in the following format: - RGB images - Segmentation & classification maps - Nuclei counts The RGB images and segmentation/classification maps are each stored as a single NumPy array. The RGB image array has dimensions 4981x256x256x3, whereas the segmentation & classification map array has dimensions 4981x256x256x2. Here, the first channel is the instance segmentation map and the second channel is the classification map. For the nuclei counts, we provide a single csv file, where each row corresponds to a given patch and the columns determine the counts for each type of nucleus. The row ordering is in line with the order of patches within the numpy files. https://grand-challenge-public-prod.s3.amazonaws.com/i/2021/11/20/sample.png" alt=""> A given nucleus is considered present in the image if any part of it is within the central 224x224 region within the patch. This ensures that a nucleus is only considered for counting if it lies completely within the original 256x256 image.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

This dataset was provided by the Organizers of the CoNIC Challenge: - Simon Graham (TIA, PathLAKE) - Mostafa Jahanifar (TIA, PathLAKE) - Dang Vu (TIA) - Giorgos Hadjigeorghiou (TIA, PathLAKE) - Thomas Leech (TIA, PathLAKE) - David Snead (UHCW, PathLAKE) - Shan Raza (TIA, PathLAKE) - Fayyaz Minhas (TIA, PathLAKE) - Nasir Rajpoot (TIA, PathLAKE)

TIA: Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, United Kingdom

UHCW: Department of Pathology, University Hospitals Coventry and Warwickshire, United Kingdom

PathLAKE: Pathology Image Data Lake for Analytics Knowledge & Education, University Hospitals Coventry and Warwickshire, United Kingdom

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Dataset contains framework layers compiled for representation on state reference map, scale 1:1.5 million. Line and polygon features only. Road, rail, waterbody and watercourse themes included. State coastline not included.

Purpose

Can be used as a framework layer for whole of state mapping or for a generalised framework for regional mapping. Not suitable for analysis.

Dataset History

Information was compiled and digitised in generalised form from 1:250 000 scale hard copy maps. The individual CAD files were combined into seamless form and converted to Lambert Conformal Conic projection, standard parallels 29 degrees and 35 degrees S, central meridian 135 degrees E. Subsequently the information was converted to GIS format and re-projected to the state standard LCC projection.

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Topography - State Refence Map - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/b6f2d7af-7fbb-4bf5-9051-b725d51b270a.

description: This geologic map was prepared as a part of a study of digital methods and techniques as applied to complex geologic maps. The geologic map was digitized from the original scribe sheets used to prepare the published Geologic Map of Colorado (Tweto 1979). Consequently the digital version is at 1:500,000 scale using the Lambert Conformal Conic map projection parameters of the state base map. Stable base contact prints of the scribe sheets were scanned on a Tektronix 4991 digital scanner. The scanner automatically converts the scanned image to an ASCII vector format. These vectors were transferred to a VAX minicomputer, where they were then loaded into ARC/INFO. Each vector and polygon was given attributes derived from the original 1979 geologic map.; abstract: This geologic map was prepared as a part of a study of digital methods and techniques as applied to complex geologic maps. The geologic map was digitized from the original scribe sheets used to prepare the published Geologic Map of Colorado (Tweto 1979). Consequently the digital version is at 1:500,000 scale using the Lambert Conformal Conic map projection parameters of the state base map. Stable base contact prints of the scribe sheets were scanned on a Tektronix 4991 digital scanner. The scanner automatically converts the scanned image to an ASCII vector format. These vectors were transferred to a VAX minicomputer, where they were then loaded into ARC/INFO. Each vector and polygon was given attributes derived from the original 1979 geologic map.

This geologic map was prepared as part of a study of digital methods and techniques as applied to complex geologic maps. The geologic map was digitized from the original scribe sheets used to prepare the published Geologic Map of Wyoming (Love and Christiansen, 1985). Consequently, the digital version is at 1:500,000 scale using the Lambert Conformal Conic map projection parameters of the State base map. Stable base contact prints of the scribe sheets were scanned on a Tektronix 4991 digital scanner. The scanner automatically converts the scanned image to an ASCII vector format. These vectors were transferred to a VAX minicomputer, where they were then loaded into ARC/INFO. Each vector and polygon was given attributes derived from the original 1985 geologic map.

This metadata describes the mapping updates of stereocompiled building roofprints feature of DRCOG Denver Region Urbanized Project Area. The feature was compiled from DRCOG 2016 Orthophoto Mapping. This 1"=100' scale imagery is comprised of 4-band RGBIR color orthoimagery with a GSD (Ground Sample Distance) of 0.5'. Imagery was collected with a Vexcel Ultracam Eagle aerial sensor. Imagery is projected in State Plane Coordinate System, Colorado central zone using the Lambert Conformal Conic map projection parameters. Horizontal and vertical datums are NAD83(11) and NAVD88(GEOID12A) respectively.

The International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were produced to an international specification using the R502 series at 1:250,000 scale as source material. Production commenced in 1926 and was completed in 1978. The maps were revised from time to time and the last reprint was undertaken in 2003. Each standard map sheet covers 4 degrees of latitude by …Show full descriptionThe International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were produced to an international specification using the R502 series at 1:250,000 scale as source material. Production commenced in 1926 and was completed in 1978. The maps were revised from time to time and the last reprint was undertaken in 2003. Each standard map sheet covers 4 degrees of latitude by 6 degrees of longitude and was produced using a Lambert Conformal Conic projection with 2 standard parallels. The series has recently been superseded by the 1:1 000 000 topographic map general reference.

The goal of the Alaska Advanced Very High Resolution Radiometer (AVHRR) project is to compile a time series data set of calibrated, georegistered daily observations and twice-monthly maximum normalized difference vegetation index (NDVI) composites for Alaska's annual growing season (April-October). This data set has applications for environmental monitoring and for assessing impacts of global climate change. An Alaska AVHRR data set is comprised of twice-monthly maximum NDVI composites of daily satellite observations. The NDVI composites contain 10 bands of information, including AVHRR channels 1-5, maximum NDVI, satellite zenith, solar zenith, and relative azimuth. The daily observations, bands 1-9, have been calibrated to reflectance, scaled to byte data, and geometrically registered to the Albers Equal-Area Conic map projection. The 10th band is a pointer to identify the date and scene ID of the source daily observation (scene) for each pixel.

The compositing process required each daily overpass to be registered to a common map projection to ensure that from day to day each 1-km pixel represented the exact same ground location. The Albers Equal-Area Conic map projection provides for equal area representation, which enables easy measurement of area throughout the data. Each daily observation for the growing season was registered to a base image using image-to-image correlation.

The NDVI data are calculated from the calibrated, geometrically registered daily observations. The NDVI value is the difference between near-infrared (AVHRR Channel 2) and visible (AVHRR Channel 1) reflectance values divided by total measured reflectance. A maximum NDVI compositing process was used on the daily observations. The NDVI is examined pixel by pixel for each observation during the compositing period to determine and retain the maximum value. Often when displaying data covering large areas, such as AVHRR data, it is beneficial to include an overlay of either familiar linework for reflectance or polygon data sets to derive statistical summaries of regions. All of the linework images represent lines in raster format as 1-km cells and the strata are represented as polygons registered to the AVHRR data. The linework and polygon data sets include international boundaries, Alaskan roads with the Trans-Alaska Pipeline, and a raster polygon mask of the State.

This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Two previously published digital geologic data sets (U.S. and Caribbean) were clipped to the map extent, while the dataset for Mexico was digitized for this project. Original attributes for all data layers were maintained, and in some cases, graphically merged with common symbology for presentation purposes. The world has been divided into geologic provinces that are used for allocation and prioritization of oil and gas assessments. For the World Energy Project, a subset of those provinces is shown on this map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. The World Geographic Coordinate System of 1984 is used for data storage, and the data are presented in a Lambert Conformal Conic Projection on the OFR 97-470-L map product. Other details about the map compilation and data sources are provided in metadata documents in the data section on this CD-ROM. Several software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0. Tips

Maintained by: DC GISOwner: DouglasCountyCO_GISServicesSource: Edit Frequency: NoneSummary: Data Including Feature Layer: Paved Parking. Open data. Paved parking within select areas of Douglas County, Colorado. This metadata describes the DRCOG Denver Region Urbanized Project Area. The feature was compiled from the Denver Regional Aerial Photography Project (DRAPP) 2014 Aerial Imagery Acquisition and Production. This 1"=100' scale imagery is comprised of 4-band RGBIR color orthoimagery with a GSD (Ground Sample Distance) of 0.5'. Imagery was collected with the Leica ADS40 and ADS80 digital sensors and processed with Leica XPro software. Imagery is projected in State Plane Coordinate System, Colorado central zone using the Lambert Conformal Conic map projection parameters. Horizontal and vertical datums are NAD83(11) and NAVD88(GEOID12A) respectively.

Description:This version of the repository holds an updated dataset of the annual forest disturbance agents/stable land cover maps across Japan using Landsat time series data. This version covers the period for 1985-2022 (1985-2019 in the original dataset). Harvest, Conversion, Thinning, and Other disturbances are mapped as different disturbance agents. The maps cover the entire country of Japan, excluding several isolated islands. The maps are available in compressed GeoTIFF format in Albers Equal Area Conic projection. The maps can be browsed in Google Earth Engine Apps.

Citation:Shimizu, K. and Saito, H. (2021) Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan. International Journal of Applied Earth Observation and Geoinformation 104: 102555. https://doi.org/10.1016/j.jag.2021.102555

Period:1985 to 2022 annually

Spatial resolution:30m

Projection:Albers Equal Area Conic Projection (Two standard parallels: 33N and 44N, Central Meridian: 135E)

The International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were …Show full descriptionThe International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were produced to an international specification using the R502 series at 1:250,000 scale as source material. Production commenced in 1926 and was completed in 1978. The maps were revised from time to time and the last reprint was undertaken in 2003. Each standard map sheet covers 4 degrees of latitude by 6 degrees of longitude and was produced using a Lambert Conformal Conic projection with 2 standard parallels. The series has recently been superseded by the 1:1 000 000 topographic map general reference.

The Analysis Ready Data (ARD) Landsat Level-2 Tiles consist of surface reflectance (SR), surface temperature (ST), top of atmosphere (TA) reflectance, brightness temperature (BT), and quality assessment (QA)) data that are consistently processed using per pixel solar zenith angle corrections, gridded to a common cartographic projection, and accompanied by appropriate metadata to enable further processing while retaining traceability of data provenance. Subsequently, numerous products are derived from ARD that are used as direct inputs to monitoring and assessment activities, including maps of land cover and land cover change, spectral indices, temporal composites, and higher-level science products such as burned area, dynamic surface water extent, and fractional snow covered area. Landsat ARD are generated in the Albers Equal Area Conic (AEA) for conterminous U.S. and Hawaii map projection. Alaska is generated to Alaska Albers map projection. They are processed directly from L ...

The International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were …Show full descriptionThe International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were produced to an international specification using the R502 series at 1:250,000 scale as source material. Production commenced in 1926 and was completed in 1978. The maps were revised from time to time and the last reprint was undertaken in 2003. Each standard map sheet covers 4 degrees of latitude by 6 degrees of longitude and was produced using a Lambert Conformal Conic projection with 2 standard parallels. The series has recently been superseded by the 1:1 000 000 topographic map general reference.

Tile layer for online mapping efforts. Original layers include Natural Earth vector and raster data composed in a North America Lambert Conformal Conic projection. The data used for the map and resulting tiles were from Natural Earth.

description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

The International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were …Show full descriptionThe International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were produced to an international specification using the R502 series at 1:250,000 scale as source material. Production commenced in 1926 and was completed in 1978. The maps were revised from time to time and the last reprint was undertaken in 2003. Each standard map sheet covers 4 degrees of latitude by 6 degrees of longitude and was produced using a Lambert Conformal Conic projection with 2 standard parallels. The series has recently been superseded by the 1:1 000 000 topographic map general reference.

description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection.F The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection.F The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Two previously published digital geologic data sets (U.S. and Caribbean) were clipped to the map extent, while the dataset for Mexico was digitized for this project. Original attributes for all data layers were maintained, and in some cases, graphically merged with common symbology for presentation purposes. The world has been divided into geologic provinces that are used for allocation and prioritization of oil and gas assessments. For the World Energy Project, a subset of those provinces is shown on this map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. The World Geographic Coordinate System of 1984 is used for data storage, and the data are presented in a Lambert Conformal Conic Projection on the OFR 97-470-L map product. Other details about the map compilation and data sources are provided in metadata documents in the data section on this CD-ROM. Several software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.

The International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were …Show full descriptionThe International Map of the World (IMW) series is no longer maintained, and printed copies of this map are no longer available. The Australian portion of the series consists of 49 maps. They were produced to an international specification using the R502 series at 1:250,000 scale as source material. Production commenced in 1926 and was completed in 1978. The maps were revised from time to time and the last reprint was undertaken in 2003. Each standard map sheet covers 4 degrees of latitude by 6 degrees of longitude and was produced using a Lambert Conformal Conic projection with 2 standard parallels. The series has recently been superseded by the 1:1 000 000 topographic map general reference.