The Mapping Inquiry Tool (MapIT) database consists of a geodatabase and data catalog of geologic, geophysical, structural, hydrologic, and contextual data, based on the data types to support geologic carbon storage activities and other subsurface energy systems resource assessments. The database was aggregated from publicly available data across the USA from state and federal entities. The database is structured by categories including rock unit geology, boundaries, national CS datasets, geophysical data, faults and structural data, infrastructure, surface hydrology, groundwater, and more. The data described in the data catalog is also available in the Mapping Inquiry Tool (https://edx.netl.doe.gov/dataset/mapping-inquiry-tool). Version 3 of the geodatabase and data catalog have been updated as of 5/17/2024. The database was published with a limited number of layers. The Catalog V3 contains many more resources than the geodatabase, documenting all layers that will be included in MapIT, and includes links to the original sources of the data. Within the catalog, in the final column, there is information about if the file is included in the geodatabase or not. Use the links provided in the catalog to download data directly from the original source if not included in the geodatabase. Four resources are included in this submission: 1. Geodatabase 2. ReadMe file 3. Catalog of data layers and additional data resources 4. Web link to a resource describing the motivation and reviewing the content of the geodatabase - DOE NETL Carbon Storage Site Mapping Inquiry Tool Database

This is a map created for the use of Region 2 Project Manager staff to quickly and efficiently find commonly used data.

This is commonly used data collected in one map for the Region 2 Design team.

1) Use the search tool to find where you go to school or work2) Measure the distance you travel to school or work

The NPMS Public Map Viewer allows everyone, including the general public to view maps of Gas Ttransmission, Hazardous Liquid and Carbon dioxide pipelines, Liquefied Natural Gas (LNG) plants, and Hazardous Liquid breakout tanks in one selected county. Gas Distribution and Gas Gathering systems are not included in NPMS. Users are permitted to print maps of the data, but the data is not downloadable. Always call 811 before digging. Visit https://call811.com/Before-You-Dig for more information.

The 311 Request Selector Tool Web Map is the underlying basis for the 311 Selector Tool at https://ebrgis.maps.arcgis.com/home/item.html?id=7aa242fce4ba43d289224b1ad1ee846a.

Discover the booming interactive map creation tools market! This in-depth analysis reveals a $2.5 billion market in 2025, projected to reach $8 billion by 2033, driven by cloud-based solutions and growing data visualization needs. Learn about key players, market segmentation, and regional trends shaping this exciting sector.

Discover the booming interactive map creation tools market! Our in-depth analysis reveals a $2 billion market in 2025, projected to grow at 15% CAGR through 2033. Learn about key trends, leading companies (Mapbox, ArcGIS, Google), and regional insights to capitalize on this expanding sector.

The portal is made up of the Health Assessment Tool and the Map Room. The portal will improve access to up-to-date, state-level health data; support robust community health assessments; and support the alignment of health priorities across public and private health systems in Virginia. The Health Assessment Tool features data on over 100 indicators from national, state, and local sources such as the Virginia Department of Health, Virginia Health Information, Virginia Vital Statistics, American Community Survey, and the Centers for Disease Control and Prevention. The Map Room provides an interactive mapping environment with access to more than 30,000 mappable data layers.

The “DTPW Permit GIS Mapping Tool Web Map” serves as the foundational map for the DTPW Permit GIS Mapping Application—a public application for submitting, editing, and reviewing transportation permits within Miami-Dade County.Key Functions:

Provides editors with an intuitive map-based interface for adding and updating permit records. Incorporates Arcade expressions in the Editor forms to automatically populate address and intersection fields. Serves as the primary workspace for editing permit data before it's integrated into other DTPW workflows.Editable Feature Layers (For Permit Data Collection and Updates):

Add a Point Arcade Function: Automatically populates the address field by finding the nearest parcel from the Property Boundary layer within 60 meters.

Add a Segment Arcade Function: Populates start and end address fields by retrieving nearby intersection names from the GeoIntersection layer within a 25-meter buffer.

Add a Polygon Arcade Function: Populates address fields by identifying the nearest intersections for each of the polygon’s four corner vertices, using the GeoIntersection layer.

Reference Data Layers (For Spatial Validation and Data Extraction):

Property Boundary

Parcel boundaries containing address information. Used to support the automated address population for point permits.

GeoIntersection

A dataset of intersection points and names. Used to populate intersection-related fields in both segment and polygon permits.

Drone Application Map Tool Market is expected to reach $10,757.0 million by 2035, growing at a CAGR of 24.53%, driven by infrastructure spend, sustainability mandates & reuse projects.

The Maternal and Infant Health Mapping (MIHM) Tool is an interactive online tool that allows users to create and customize county-level maps on maternal and infant health. Users can explore the geographic relationships between maternal and infant health indicators, health resources, and demographics. The tool was designed to help federal, state, and local decision-makers and others visualize maternal and infant health factors to assist in understanding need and targeting resources.

The Localized Flood Map for Climate Vulnerability Screening layer shows potential surface flooding locations in the landscape for the Twin Cities Metro area. These locations, called bluespots, are areas that may be subject to flood during short-term, extreme rain events. The Council's local flood screening tool uses information about the topography of the earth contained in the State of Minnesota's 3-meter digital elevation model (DEM) built from the state's LiDAR effort. Localized flooding locations are determined solely based on depressions in the DEM; no data of existing stormwater infrastructure is considered because this information does not currently exist at a regional scale. This layer should only be used as a screening tool. A low spot shown as a bluespot on this map does not indicate that the area will definitively flood; instead, the area has the potential to flood if a rain event is intense enough and stormwater infrastructure not sufficient.

For more information, visit the Council's Climate Vulnerability Assessment website at: www.metrocouncil.org/cva.

Use Constraints:This mapping tool is for reference and guidance purposes only and is not a binding legal document to be used for legal determinations. The data provided may contain errors, inconsistencies, or may not in all cases appropriately represent the current boundaries of PWSs in California. The data in this map are subject to change at any time and should not be used as the sole source for decision making. By using this data, the user acknowledges all limitations of the data and agrees to accept all errors stemming from its use.Description:This mapping tool provides a representation of the general PWS boundaries for water service, wholesaler and jurisdictional areas. The boundaries were created originally by collection via crowd sourcing by CDPH through the Boundary Layer Tool, this tool was retired as of June 30, 2020. State Water Resources Control Board – Division of Drinking Water is currently in the process of verifying the accuracy of these boundaries and working on a tool for maintaining the current boundaries and collecting boundaries for PWS that were not in the original dataset. Currently, the boundaries are in most cases have not been verified. Map Layers· Drinking Water System Areas – representation of the general water system boundaries maintained by the State Water Board. This layer contains polygons with associated data on the water system and boundary the shape represents.· LPA office locations – represents the locations of the Local Primacy Agency overseeing the water system in that county. Address and contact information are attributes of this dataset.· LPA office locations – represents the locations of the Local Primacy Agency overseeing the water system in that county. Address and contact information are attributes of this dataset· California Senate Districts – represents the boundaries of the senate districts in California included as a reference layer in order to perform analysis with the Drinking Water System Boundaries layers.· California Senate Districts – represents the boundaries of the assembly districts in California included as a reference layer in order to perform analysis with the Drinking Water System Boundaries layers.· California County – represents the boundaries of the counties in California included as a reference layer in order to perform analysis with the Drinking Water System Boundaries layers.Informational Pop-up Box for Boundary layer· Water System No. – unique identifier for each water system· Water System Name – name of water system· Regulating Agency – agency overseeing the water system· System Type – classification of water system.· Population the approximate population served by the water system· Boundary Type – the type of water system boundary being displayed· Address Line 1 – the street or mailing address on file for the water system· Address Line 2 – additional line for street or mailing address on file for the water system, if applicable· City – city where water system located or receives mail· County – county where water system is located· Verification Status – the verification status of the water system boundary· Verified by – if the boundary is verified, the person responsible for the verification Date Created and Sources:This web app was most recently updated on July, 21, 2021. Each layer has a data created date and data source is indicated in the overview/metadata page and is valid up to the date provided.

The Interactive Data and Mapping Tool provides users a way to access all post-2005 SAHIE data; in multiple formats; in a sleek, organized, and innovative way. Currently, data and maps can downloaded as a Pdf, CSV or jpg. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties.

The New Jersey Flood Risk Notification Tool Map contains the GIS layers to determine potential flood risk for parcels in New Jersey. This map was developed for use in the New Jersey Flood Risk Notification Tool which can be viewed by clicking here.The Flood Risk Notice and property condition disclosure form requires you to disclose if the property is in the Special Flood Hazard Area (100-year or 1% annual chance floodplain) or the Moderate Flood Hazard Area (500-year or 1% annual chance floodplain). You will need to disclose all FEMA Flood Zones that overlap your property. There may be more than one, or there may be none. This includes any flood zones mapped according to preliminary maps. FEMA periodically re-assesses a community’s flood risk using updated data and modeling and mapping technology. These updated models are published as preliminary maps until they are made effective following a public comment or appeal period.The absence of flood indicators does not mean that a property is free from flood risk. Flooding can occur anywhere. The geographic extent of flood-prone areas can change due to local factors including increases in impervious surface; changes to stream flow; natural impediments; or aging, poorly maintained, or failing infrastructure. The size and extent of flood prone areas are also expanding due to climate change-related impacts like increasing rainfall intensities and sea-level rise.This tool does not provide information regarding the applicability of any NJDEP regulations. The absence of flood indicators does not mean that a property is free from flood risk. Flooding can occur anywhere. The geographic extent of flood-prone areas can change due to local factors including increases in impervious surface; changes to stream flow; natural impediments; or aging, poorly maintained, or failing infrastructure. The size and extent of flood-prone areas are expanding due to climate change-related impacts like increasing rainfall intensities and sea-level rise.

Geodatabase: N/AGeodatabase Filename: N/A Creation Date: November 9, 2023Update Date: Currently up-to-dateData Location: AGOLData Type: ExperienceData Subtype: N/AHub Site List:GIS Data StoreData Description:Public zoning application for the City of New Haven Data Update Log:12/01/2023Square footage added to pop-upParcels Query Builder tool added to allow spatial query of a desired group of parcels and export of their attributes to csvPrint Widget added12/06/2023Parcels Query Builder tool modified to add selected feature as an input option12/07/2023Popup modified so that parcel and zone attributes can now be viewed from a single popup. Sidebar removed.12/14/2024Parcel Query Builder tool moved to the right hand corner next to the print widget icon.Invisible box preventing functionality of the measure tool was removed.01/11/2024Contact information for application change requests added02/01/2024Search map tool replaced with Search widget to allow for utilization of New Haven locator02/29/2024Search widget source switched from locator to parcel layer so that the application will zoom to and select the parcel with the address entered in the Search widget.09/06/2024Button linking to DEEP's Coastal Boundary web map added to the application.03/07/2025Parcel Query Builder widget switched to reference the newly-added New Haven Parcels Management image layer03/12/2025Parcel Query Builder now allows for queries based on a selected parcel. Default distance set to 200 feet.Data Error Log:None

This map service is a one-stop location to view and explore Kentucky geologic map data and related-data (geologic outcrops, photos, and diagrams), Kentucky water wells and springs, Kentucky oil and gas wells. All features are provided by the Kentucky Geological Survey via ArcGIS Server services. This map service displays the 1:500,000-scale geologic map of Kentucky at scales smaller than 1:100,000, and 1:24,000-scale geological quadrangle data at larger scales. The 1:500,000-scale geologic map data were derived from the 1988 Geologic Map of Kentucky, which was compiled by Martin C. Noger (KGS) from the 1981 Geologic Map of Kentucky (Scale 1:250,000) by McDowell and others (USGS). The 1:24,000-scale geologic map data and the fault data were compiled from 707 Geological Survey 7.5-minute geologic quadrangle maps, which were digitized during the Kentucky Geological Survey Digital Mapping Program (1996-2006).The basemap data is provided via ArcGIS Server services hosted by the Kentucky Office of Geographic Information.Some tools are provided to help explore the map data:- Query tool: use this tool to search on the KGS database of lithologic descriptions. Most descriptions are derived from the 707 1:24,000 geological quadrangle maps. Once a search is completed, every unit that contains the search parameters is highlighted on the map service.- ID tools: users can identify and get detailed info on geologic units and other map features using either the point, area, or buffer identification tools.A few notes on this service:- the legend is dynamic for the viewed extent. It is provided via a database call using the current map extent.- the oil and gas and water wells are ArcGIS Server services that update dynamically from the KGS database.- the geologic map and faults are dynamic ArcGIS Server map services.- the user can link to other geologic data for the viewed extent using the links provided in the "Geologic Info" tab.- you can query the entire KGS lithologic description database and highlight the relevant geologic units based on the query.

The dataset presents a list of laboratories set up in the humanities, digital humanities, and media studies within universities across the world in 1983-2018. The data are collected and organized in an interactive map designed in the digital StoryMapJS tool, creating a valuable visible representation of the laboratory concept from a geographical and historical perspective. Based on the interactive map, I analyze the history of the laboratory in the humanities within a global context from the 1980s to 2018. The dataset includes 214 laboratories.

Data collection

I identified laboratories by using different resources such as universities’ websites, articles, and research projects. Besides, I sent a questionnaire to the most relevant networks in October 2018 to identify even more labs created in (digital) humanities and media studies at universities.

Data organization

I collected data about each lab based on its website and other resources. I extracted the following data: year established, year ended (if applicable), lab’s name, university, city, country, affiliation and location (if provided), disciplines and keywords (based on labs’ statements and projects and aiming to situate a lab), selected projects (if provided), purpose (a short quotation of a lab’s statement published on its website), website, and geographical latitude and longitude. I organized all the data in chronological order according to year established in Google Sheets. Next, I used StoryMapJS, a free tool designed by the Northwestern University’s Knight Lab, to map my data.

This data repository is for the "Lane-Level Localization and Map Matching for Advanced Connected and Automated Vehicle (CAV) Applications" project. This project investigated and demonstrated the utility of lane-level map-matching and localization. In this project, data were collected in support of three folders for Tasks 2, 5, and 6.

Task 2: Lane-Level Mapping. Experimental data were acquired to assess the accuracy of the USDOT Mapping Tool. The data analysis used 39 feature points within about 200 meters of the intersection verified point and 55 feature points distributed over longer distances from the verified point (94 points total). Along with the data files, the repository includes a README file and two Matlab scripts that process the data.

Task 5: Demonstration. Experimental data were acquired to assess the probability of correct lane determination. Three road tests were performed. The data for each test is organized into its own subdirectory. The main directory contains a README file that discusses the file contents and how to process them using the included Matlab scripts.

Task 6: Simulation Study. Each simulation run created 4 .csv files: Chicago Intersection Queue information, Cranford Intersection Queue information, Iowa Intersection Queue information, and general vehicle information. Queue information consisted of the estimated queue information and actual queue information for each lane versus time. General vehicle information consisted of simulation time, vehicle id, vehicle speed, vehicle position, perturbed vehicle position, and vehicle direction. Each .csv file has column headers for distinction. In total there were 1200 .csv files: 4 .csv files for each simulation, 10 simulations for each scenario, and for the 30 scenarios described in the Simulation Scenario Section.