This is a feature collection created from the geometries of L2B tables in LARSE/GEDI/GEDI02_B_002. Each feature is a polygon footprint of a source table with its asset id and start/end timestamps. Please see User Guide for more information. The Global Ecosystem Dynamics Investigation GEDI mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth's carbon cycle and biodiversity. The GEDI instrument, attached to the International Space Station (ISS), collects data globally between 51.6° N and 51.6° S latitudes at the highest resolution and densest sampling of the 3-dimensional structure of the Earth. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track. ProductDescriptionL2A VectorLARSE/GEDI/GEDI02_A_002L2A Monthly rasterLARSE/GEDI/GEDI02_A_002_MONTHLYL2A table indexLARSE/GEDI/GEDI02_A_002_INDEXL2B VectorLARSE/GEDI/GEDI02_B_002L2B Monthly rasterLARSE/GEDI/GEDI02_B_002_MONTHLYL2B table indexLARSE/GEDI/GEDI02_B_002_INDEXL4A Biomass VectorLARSE/GEDI/GEDI04_A_002L4A Monthly rasterLARSE/GEDI/GEDI04_A_002_MONTHLYL4A table indexLARSE/GEDI/GEDI04_A_002_INDEXL4B BiomassLARSE/GEDI/GEDI04_B_002

The United States Census Bureau TIGER dataset contains the 2018 boundaries for the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the island areas (American Samoa, the Commonwealth of the Northern Mariana …

Use General Infrastructure to indicate the location of various types of infrastructure.

City features collection

A collection of features for ~700 European cities, for the reference year 2018.

Features

The features are divided in three main thematic areas: land, climate and socioeconomic characteristics. Find more information about the features in the codebook cities_features_collection_codebook.csv.

Codelists for categorical features are in the same folder codelist_.csv.

Cities

City selection (and outline polygon) is taken from the Eurostat Urban Atlas. More information here. The original list of cities with geometries can be downloaded at these links:

• EPSG:4326 (WGS84)

• EPSG:3035

Note: the dataset city_features_collection.geojson only contains the city outline in CRS EPSG:4326.

Example usage

Clustering analysis of European cities: check out this interactive demo notebook: notebooks\demo\cities_clustering_interactive_demo.ipynb.

Use Oil & Gas Exploration for the inspection and inventory of oil and gas production facilities.

Displays polygons for Cartographic reference-- Additional Information: Category: Collection System Purpose: Used to identify information relevant to Collection System that's not an asset. Update Frequency: Weekly-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54326

THE GEOINQUIRIES™ COLLECTION FOR EARTH SCIENCE

http://www.esri.com/geoinquiries

The Esri GeoInquiry™ collection for Earth Science contains 15 free, web-mapping activities that correspond and extend map-based concepts in leading middle school Earth science textbooks. The activities use a standard inquiry-based instructional model, require only 15 minutes for a teacher to deliver, and are device agnostic. The activities harmonize with the Next Generation Science Standards.

All American Literature GeoInquiries™ can be found at: http://esriurl.com/earthGeoInquiry

All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

A catalog of Miocene and younger faults in Idaho, including Quaternary and active faults, compiled by the Idaho Geological Survey

Current 511 Events for Minnesota. This data is updated every 10 minutes. This layer is provided as a courtesy from Iowa DOT for use by Iowa DOT web mapping applications. Iowa DOT does not take responsibility for its accuracy or completeness. Please visit Minnesota 511 for up-to-date conditions: http://www.511mn.org/ Note: This is an Esri Feature Collection which is different than an Esri Feature Service. Feature Collections allow for high-availability. There are unique characteristics that need to be considered when using this data type: - It is a file-based data type so there is no REST endpoint. However, there is JSON that can be parsed out. See link at the bottom of this page. - You cannot set a refresh interval in the map document, you must use the Info Summary Widget inside an application or hard-code the refresh in a custom application. - The rotation setting gets wiped out each time the dataset is updated. When you add a feature collection to a new map, you will have to set the rotation. If you have an existing saved map this doesnt apply to you.

The following published OGC compliant WMTS services facilitate access to live geospatial data from the City of Toronto. All WMTS services are in Web Mercator projection. Orthorectified Aerial Imagery The following dataset provides access to the most current geometrically corrected (orthorectified) aerial photography for the City of Toronto. Previous year Orthoimagery is available through the links provided below. Historic Aerial Imagery These datasets are all sourced from scans of the original black and white aerial photography. These images have not gone through the same rigorous process that current aerial imagery goes through to create a seamless orthorectified image, corrected for the changes in elevation across the City. Due to this, the spatial accuracy of these datasets varies across the City. Be aware that there are known issues with some regions of data due to issues with the source data. These datasets intended use is to show land use changes over time and other similar tasks. It is not suitable for sub-metre level accuracy feature collection and is provided “as-is”. Aerial LiDAR - Hillshade A hillshade is a hypothetical illumination of a surface by determining illumination values for each cell in a raster. It is calculated by setting a position for a hypothetical light source and calculating the illumination values of each cell in relation to neighboring cells. It can be used to greatly enhance the visualization of a surface for analysis or graphical display, especially when using transparency. The City of Toronto publishes hillshades in both bare earth (no above-ground features included), and full-feature. Bare Earth Full Feature

These data include observations of liquefaction from ten earthquakes. The data are provided as a feature collection in a GeoJSON file format. Individual features are either points or polygons. Each feature has a single attribute called "earthquake" which gives the name and year of the earthquake associated with the liquefaction feature.

These are pdf files of the original survey feature/collection forms. Each survey feature was recorded on a form and assigned a unique number, and, if the feature was collected, that number pertains to the surface collection. Some features have more than one collection, in which case additional feature/collection numbers were assigned. Rarely numbers were subsequently de-assigned, and might then be assigned to a different feature/collection later, but occasionally numbers were not used (skipped), especially because distinct blocks of numbers were used in different survey seasons. Some files include sketch or gps maps.

A collection of features for ~700 European cities, for the reference year 2018. The features are divided in three main thematic areas: land, climate and socioeconomic characteristics. In the current version it contains the following features:

• environmental zone
• city area ha
• dem mean
• imd percent 2018
• treecover percent 2018´
• Urban Atlas 2018 class 11100
• Urban Atlas 2018 class 11210
• Urban Atlas 2018 class 11220
• Urban Atlas 2018 class 11230
• Urban Atlas 2018 class 11240
• Urban Atlas 2018 class 11300
• Urban Atlas 2018 class 12100
• Urban Atlas 2018 class 12210
• Urban Atlas 2018 class 12220
• Urban Atlas 2018 class 12230
• Urban Atlas 2018 class 12300
• Urban Atlas 2018 class 12400
• Urban Atlas 2018 class 13100
• Urban Atlas 2018 class 13300
• Urban Atlas 2018 class 13400
• Urban Atlas 2018 class 14100
• Urban Atlas 2018 class 14200
• Urban Atlas 2018 class 21000
• Urban Atlas 2018 class 22000
• Urban Atlas 2018 class 23000
• Urban Atlas 2018 class 24000
• Urban Atlas 2018 class 25000
• Urban Atlas 2018 class 31000
• Urban Atlas 2018 class 32000
• Urban Atlas 2018 class 33000
• Urban Atlas 2018 class 40000
• Urban Atlas 2018 class 50000
• urban blue percent
• urban green percent
• avg 2m temp kelvin 2018
• number of summer days 2018
• number of tropical nights 2018
• utci heat nights 2018
• coastal city
• ESTAT de1001v 2018
• ESTAT de1028v 2018
• ESTAT de1055v 2018
• ESTAT ec1174v 2018
• ESTAT ec1010v 2018
• ESTAT ec1020i 2018
• ESTAT ec3040v 2018
• ESTAT sa2013v 2018
• ESTAT de1028i 2018
• ESTAT de1055i 2018

description: Parcels and Land Ownership dataset current as of 2008. Blocks-The data set is a polygon feature consisting of 212 polygons representing city block boundaries. It was created to maintain land ownership..; abstract: Parcels and Land Ownership dataset current as of 2008. Blocks-The data set is a polygon feature consisting of 212 polygons representing city block boundaries. It was created to maintain land ownership..

The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. It is derived from two other datasets: a LSIB line vector file and the World Vector Shorelines (WVS) from the National Geospatial-Intelligence Agency (NGA). The interior boundaries reflect U.S. government policies on boundaries, boundary disputes, and sovereignty. The exterior boundaries are derived from the WVS; however, the WVS coastline data is outdated and generally shifted from between several hundred meters to over a kilometer. Each feature is the polygonal area enclosed by interior boundaries and exterior coastlines where applicable, and many countries consist of multiple features, one per disjoint region. Each of the 180,741 features is a part of the geometry of one of the 284 countries described in this dataset.

MTUPP Tobacco Retailers and Schools

The Meertens Tune Collections (MTC) and the Essen Folk Song Collections include various data sets with melodic data. The melodies are provided in Humdrum **kern encoding and as MIDI sequences. In many cases, a representation of the melodies as sequences of feature values is needed rather than encoded scores. The present dataset provides such feature sequences. It is accompanied by a Python module that offers functionality to load and filter the sequences: MTCFeatures. The documentation of MTCFeatures contains a detailed description of the features.

The following melody collections are included:

MTC-ANN-2.0.1 - A small set of 360 richly annotated melodies from Dutch sources.

MTC-FS-INST-2.0 - A large set of c. 18 thousand melodies from Dutch sources.

ESSEN Folksong Collection - A set of more than 8 thousand folk song melodies mainly from Germany.

For more information on the contents of the Meertens Tune Collections, please visit http://www.liederenbank.nl/mtc/.

For the Essen Folk Song Collection, the features were extracted from the **kern files in the zip-archive as provided by the Center for Computer Assisted Research in the Humanities at Stanford University (https://kern.humdrum.org/cgi-bin/browse?l=/essen).

The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2020 census tracts. Tract areas vary tremendously, but in urban areas are roughly equivalent to a neighborhood. There are just over 85000 polygon features covering the United States, the District of Columbia, Puerto Rico, and the Island areas. For full technical details on all TIGER 2020 products, see the TIGER technical documentation.

Quaternary Geology Feature Set is 1:24,000-scale data that illustrates the geologic features formed in Connecticut during the Quaternary Period, which spans from 2.588 ± 0.005 million years ago to the present and includes the Pleistocene (glacial) and Holocene (postglacial) Epochs. The Quaternary Period has been a time of development of many details of the Connecticut landscape and all surficial deposits. At least twice in the last Pleistocene, continental ice sheets swept across Connecticut from the north. Their effects are of pervasive importance to present-day occupants of the land.

The Quaternary Geology information illustrates the geologic history and the distribution of depositional environments during the emplacement of unconsolidated glacial and postglacial surficial deposits and the landforms resulting from those events in Connecticut. These deposits range from a few feet to several hundred feet in thickness, overlie the bedrock surface and underlie the organic soil layer of Connecticut. Quaternary Geology is mapped without regard for any organic soil layer that may overly the deposit.

For additional documentation including a description of the unconsolidated glacial and postglacial surficial deposits shown on the map, refer to the CT ECO Complete Resource Guide for Quaternary Geology.

The Connecticut Quaternary Geology information was initially compiled at 1:24,000 scale (1 inch = 2,000 feet) then recompiled for a statewide 1:125,000-scale map, Quaternary Geology Map of Connecticut and Long Island Sound Basin (PDF, 56 Mb) Stone, J.R., Schafer, J.P., London, E.H. and Thompson, W.B., 1992, U.S. Geological Survey Special Map, 2 sheets, scale 1:125,000, and pamphlet, 71 p. A companion map, the Surficial Materials Map of Connecticut (PDF, 26 Mb) Stone, J.R., Schafer, J.P., London, E.H., DiGiacomo-Cohen, M.L., Lewis, R.L., and Thompson, W.B., 2005, U.S. Geological Survey Scientific Investigation Map 2784, 2 sheets, scale 1:125,000, emphasizes the surface and subsurface texture (grain-size distribution) of these materials. The quaternary geology and surficial material features portrayed on these two maps are very closely related; each contributes to the interpretation of the other.

These data are a polygon feature class that represents the administrative boundaries of the US Forest Service Research and Development Stations. These territories consist of a collection of states' geographic areas, within which all research and development facilities and lands are managed by a station headquarters.