AndreaBozzo/ceres-open-data-index huggingface dataset:
Parcels in Yavapai County

Parcel polygons were created for Yavapai County, Arizona. Map Service use for publishing for Open Data. This data is an ArcGIS Online Hosted Feature Layer in WGS 1984 Web Mercator Auxiliary Sphere (WKID 3857). The data are created to serve as base information for use in GIS systems for a variety of planning and analysis purposes. Access is granted to public agencies, educational institutions, non-profit organizations and private individuals for non-commercial purpose. For commercial use of the data see Arizona Revised Statutes 39-121.03. All updates to the Yavapai County parcels are performed by the Assessor Parcel Maintenance Division. Please click here to view the [Data Dictionary], a description of the fields in this table. Please click here to view [Parcel Ownership Codes and Descriptions].
Arizona Urbanized Areas, Adjusted, 2013

These data represent Adjusted Urbanized Areas for Arizona as derived from the 2010 Census and smoothed by the Arizona Department of Transportation and approved by the Federal Highway Administration. An Urbanized Area is a Census-designated urban area having 50,000 or more residents (USDOT uses the acronym "UZA" to refer to Urbanized Areas, while Census uses “UA” to refer to the same type of area). These data include both Urban Areas, as described above, and Urban Clusters. An Urban Cluster is a Census-designated urban area having between 2,500 and 49,999 residents.
NENA Road Centerlines WGS Service

Definition query was removed for this service, but it could be setup to use "SHARE_PUBLIC = 'SPEC' Or SHARE_PUBLIC = 'YES'". Label Class called, LFullStName showing LFULLST_NAME field up to 24,000 map display. Intended for viewing in a desktop application or visual display in Portal web maps and web applications. Road centerlines with NENA required fields and the fully spelled out fields are being populated from the NG911 Utility Master Tables. Source feature class is NG911RoadCenterlines from the TERRA enterprise geodatabase. Key words are standardized for ArcGIS Pro users to be able to search through the County's Geo Portal web services without being logged in. Key words use the same standards of Category. Key words are standardized for ArcGIS Pro users to be able to search through the County's Geo Portal web services without being logged in. Key words use the same standards of Category.
NENA Addresses WGS Service

Address Points with NENA required fields. Source feature class is AddressesNG911 from the Terra production External SQL 2019 Enterprise geodatabase. The total number of records has always above the County and City address points because there are additional addresses from the Coconino County side of City of Sedona. These address points are created from an FME Desktop workspace which merges data from several different data sources. the NG911 Utility Master Tables and are intended for public safety applications but shared to the other agencies for updating Computer Aided Dispatch Maps or other public safety usages. No definition query published in the service. Published in WGS 1984 (wkid 4326) Coordinate System to be used in a Next Generation Core Services. The scale range for the data is set not to display out beyond 100,000 and a label class showing to the map scale range out to 4,800. Intended for searching and web map display in ArcGIS Online hosted layer services for ArcGIS Pro and web applications. Source of feature class that published this web service is from enterprise geodatabase. Key words are standardized for ArcGIS Pro users to be able to search through the County's ArcGIS Online hosted layer services without being logged in.
Police Arrests

Please click here to view the [Data Dictionary], a description of the fields in this table. The police arrest report generates from the police department (Record Management System (RMS)) and includes one rolling year of data. Information automatically updates Sunday night. The most recent data available will begin one week prior from the updated date to allow for report approvals, ensuring the most accurate information available. Incidents included may not directly correlate to information found in other data sets nor should this data be considered for official Uniform Crime Reporting. For all official crime statistics please refer to the FBI and Arizona Department of Public Safety. Some information has been excluded and addresses shortened to the hundred block to protect privacy of victims and juveniles.
Police Incident Reports

Please click here to view the [Data Dictionar]y, a description of the fields in this table. The police incident report generates from the police department Record Management System (RMS) and includes one rolling year of data. Information automatically updates Sunday night. The most recent data available will begin one week prior from the updated date to allow for report approvals, ensuring the most accurate information available. Incidents included may not directly correlate to information found in other data sets nor should this data be considered for official Uniform Crime Reporting. For all official crime statistics please refer to the FBI and Arizona Department of Public Safety. Some information has been excluded and addresses shortened to the hundred block to protect privacy of victims and juveniles.
Police Citations

Please click here to view the [Data Dictionary], a description of the fields in this table. The police citation report generates from the police department (Record Management System (RMS) and includes one rolling year of data. Information automatically updates Sunday night. The most recent data available will begin one week prior from the updated date to allow for report approvals, ensuring the most accurate information available. Incidents included may not directly correlate to information found in other data sets nor should this data be considered for official Uniform Crime Reporting. For all official crime statistics please refer to the FBI and Arizona Department of Public Safety. Some information has been excluded and addresses shortened to the hundred block to protect privacy of victims and juveniles.
Purchasing Solicitations

Scottsdale is upgrading the ERP system that manages this data. Open Data will not be updated during this time. We expect to resume presenting the data in the next 60 days. We are sorry for any inconvenience this may cause and appreciate your patience while we upgrade financial systems. Please click here and download to view the [Data Dictionary], a description of the fields in this table. Details about solicitations for construction projects-to purchase products and services, to determine availability of vendor products and/or services and to sell surplus property items. 1 year of rolling data.
Police Calls for Service

Please click here to view the [Data Dictionary], a description of the fields in this table. If you would like information that occurred more than a year ago, please submit a request through the Police Records [Police Records Request]. The police Calls for Service (CFS) report generates from the police department Computer Aided Dispatch (CAD) and includes one rolling year of data. Information automatically updates Sunday night. The most recent data available will begin one week prior from the updated date to allow for report approvals, ensuring the most accurate information available. Incidents included may not directly correlate to information found in other data sets nor should this data be considered for official Uniform Crime Reporting. For all official crime statistics please refer to the FBI and Arizona Department of Public Safety. Some information has been excluded and addresses shortened to the hundred block to protect privacy of victims and juveniles.
Arizona 911 Waze Live Feed

This feature service contains live traffic event data collected from the Waze for Cities (Waze CCP) Live Map, updated continuously to reflect current roadway conditions across Arizona. Events include accidents, road closures, construction, traffic jams, and other hazards reported by Waze users and system sensors. The dataset is intended for situational awareness, traffic management, emergency response coordination, and public information mapping. Each feature includes event details such as type, location, confidence level, reliability score, timestamp, and user reports. Update Frequency: Live / near real-time (refreshed every 5 minutes). Geographic Coverage: State of Arizona. Data Source: Waze for Cities Partnership Program (Waze Live Map API). Usage Notes: * This data is dynamic and reflects current conditions; events may appear or disappear as reports are verified or expire. * Suitable for monitoring, visualization, and decision support, but not recommended for archival or long-term analysis. * Attribution required: "Data provided by Waze through the Waze for Cities Program."
Yavapai Plan Boundary

Yavapai Plan, formally known as Central Yavapai Planning Organization Plan Boundary. The Yavapai Plan boundary is the designated Metropolitan Planning Organization (MPO) for the Western half of Yavapai County covering, City of Prescott, Town of Prescott Valley, Town of Chino Valley, Town of Dewey-Humboldt, Yavapai County, Wickenburg and Arizona Department of Transportation. As the regional MPO, Yavapai Plan provides the forum for local elected officials and transportation experts to plan multimodal infrastructure within the CYMPO Planning Boundary area. Published in WGS 1984 Web Mercator Aux Sphere Coordinate System. Visibility range is 1:1,000,000. No definition query. Intended for searching in ArcGIS Online web and ArcGIS Online web applications or in OpenData. Source of feature class that published this web service is HOSTED in ArcGIS Online updated from our internal enterprise geodatabase.
NLCD 2016 Land Cover

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2016: a streamlined process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2016 production. The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/row throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested area and all years. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping. Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.
City Points

This dataset represents point locations of cities and towns in Arizona. The data contains point locations for incorporated cities, Census Designated Places and populated places. Several data sets were used as inputs to construct this data set. A subset of the Geographic Names Information System (GNIS) national dataset for the state of Arizona was used for the base location of most of the points. Polygon files of the Census Designated Places (CDP), from the U.S. Census Bureau and an incorporated city boundary database developed and maintained by the Arizona State Land Department were also used for reference during development. Every incorporated city is represented by a point, originally derived from GNIS. Some of these points were moved based on local knowledge of the GIS Analyst constructing the data set. Some of the CDP points were also moved and while most CDP's of the Census Bureau have one point location in this data set, some inconsistencies were allowed in order to facilitate the use of the data for mapping purposes. Population estimates were derived from data collected during the 2010 Census. During development, an additional attribute field was added to provide additional functionality to the users of this data. This field, named 'DEF_CAT', implies definition category, and will allow users to easily view, and create custom layers or datasets from this file. For example, new layers may created to include only incorporated cities (DEF_CAT = Incorporated), Census designated places (DEF_CAT = Incorporated OR DEF_CAT = CDP), or all cities that are neither CDP's or incorporated (DEF_CAT= Other). This data is current as of February 2012. At this time, there is no planned maintenance or update process for this dataset. This data is created to serve as base information for use in GIS systems for a variety of planning, reference, and analysis purposes. This data does not represent a legal record.
Historic_Geomac_Perimeters_All_Years_2000_2018_gdb

The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current fire locations and perimeters in the US. Perimeters are submitted to GeoMAC by field offices. The GeoMAC team attributes the perimeters using various sources, and then posts them on the GeoMAC website and to an HTTP site for downloading. This file contains all the latest fire perimeters that were processed by the GeoMAC team between 2000 and 2018. The projection is geographic and the datum is NAD83.
Arizona Apache Sitgreaves NF Horton Post Fire 2021

A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.
Arizona Coconino NF Slate Post Fire 2021

A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.
Arizona Coronado NF Pinnacle Post Fire 2021

A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.
Arizona Multiple NFs Backbone Post Fire 2021

A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.
Arizona Multiple NFs Rafael Post Fire 2021

A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.
Arizona Tonto NF Telegraph Post Fire 2021

A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.