Description: AGO AGE Distributed Collaboration Audit is used to audit collaborations configured in the connected AGO or AGE Organization. The Audit gathers basic information about the distributed collaboration, and it also audits the sync history for the configured collaborations.Created on: 6/12/25Purpose: The purpose of this notebook is to gather basic information about the distributed collaboration, and it also audits the sync history for the configured collaborations. Follow the steps outlined below. You can connect to AGO or AGE, and the notebook will audit the collaborations configured for the connected AGO or AGE organization. The notebook prompts the user for a folder to save excel files of the results. To audit the sync history, you define a date range, and the notebook will return records showing information about the attempts to synchronize the collaboration over that date range. There is a limit of 10 records, so it will return the most recent 10 records if the collaboration was synchronized more than 10 times over that date range. If a date range is not defined the sync history will not be audited. The results are displayed in a pandas data frame and exported to excel. You can optionally upload the collaboration audit to AGO or AGE.Authored By: Joe GuziPrevious Production Date:Production Date: 6/12/25Notes: AGO, AGE, Collaboration

Geospatial collaboratives are inherently multi-organizational. When organizations integrate their geospatial infrastructure, they can quickly and easily interconnect across borders, jurisdictions, and sectors to address shared challenges. The term ‘OneMap’ is a placeholder for your community GIS branding. Whether you call your initiative a Spatial Data Infrastructure (SDI), Open Data, Digital Twin, Knowledge Infrastructure, Digital Ecosystem, distributed GIS, or otherwise, collaboration is key.

View Hub ExamplesExplore the Essential Guides for 'OneMap' AdministratorsGet the 'OneMap' ArcGIS Hub template

The 'OneMap' concept is multi-organizational. The website is designed to help communities of practice integrate your geospatial infrastructure (modern SDI). Use it to foster sharing of data among partners; provide a focus on thematic topics and foundational data; and reciprocate value with your contributing partners.

This item is available to ArcGIS Hub Basic and Premium licensed organizations.

Geospatial collaboratives are inherently multi-organizational. When organizations integrate their geospatial infrastructure, they can quickly and easily interconnect across borders, jurisdictions, and sectors to address shared challenges. The term ‘OneMap’ is a placeholder for your community GIS branding. Whether you call your initiative a Spatial Data Infrastructure (SDI), Open Data, Digital Twin, Knowledge Infrastructure, Digital Ecosystem, distributed GIS, or otherwise, collaboration is key.

View Hub ExamplesExplore the Essential Guides for 'OneMap' AdministratorsGet the 'OneMap' ArcGIS Hub template

The 'OneMap' concept is multi-organizational. The website is designed to help communities of practice integrate your geospatial infrastructure (modern SDI). Use it to foster sharing of data among partners; provide a focus on thematic topics and foundational data; and reciprocate value with your contributing partners.

This item is available to ArcGIS Hub Basic and Premium licensed organizations.

The COVID-19 pandemic delayed lead testing and interventions for families with young children that are living in homes with lead-hazard exposures. Many children have missed regular doctor appointments and have been confined to their homes with lead-hazard exposures for longer periods of time than would occur outside the time of a pandemic.

Field Name

Field Type

Field Description

Date

Date

Date of distribution

Dashboard Location

Text

Location of distribution

Language

Text

Common language among the recipient

Zip Code

Text

Zip Code location of the distribution

# of kits

Integer

Total number of kits distributed

Notes

Text

Type of distribution

In collaboration with Metro Council community partners and Louisville residents, Metro Government is working to prioritize spending of the $388 million received through the federal American Rescue Plan.Have a question or need help? Email LouisvilleAccelerator@LouisvilleKY.gov

Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) buildings data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

This dataset is a broad overview of individual fish species distribution and biomass across the Northeast U.S. Continental Shelf ecosystem . In 2014, the Marine Geospatial Ecology Lab (MGEL) of Duke University began work with the Northeast Regional Ocean Council (NROC), the NOAA National Centers for Coastal Ocean Science (NCCOS), the NOAA Northeast Fisheries Science Center (NEFSC) and Loyola University Chicago, as part of the Marine-life Data Analysis Team (MDAT), to characterize and map marine life in the Northeast region in support of the Regional Ocean Plan. In 2015, the MidAtlantic Regional Council on the Ocean (MARCO) contracted with MDAT to build upon and expand this effort into the Mid-Atlantic planning area, and in support of the Mid-Atlantic Regional Ocean Plan. These research groups collaborated to produce “base layer” predictive model products with associated uncertainty products for marine mammal species or species guilds and avian species, and three geospatial products for fish species. Periodic updates to these base layer models and data are produced by the individual institutions in the MDAT team based on schedules set by the funders of each modeling effort. MDAT member Northeast Fisheries Science Center (NEFSC) summarized fish biomass and distribution from coastal fishery independent trawl data which spans Cape Hatteras, North Carolina to the Gulf of Maine. NEFSC provided three data products: (1) bubble plot of raw observations, (2) hexagon plot showing the mean, and (3) a 10km x 10km inverse-distance weighted (IDW) interpolation plot which smoothed over multiple observations and interpolated in regions with few observations. All units are natural log kilograms per tow. These products were created for three sources of fisheries independent trawl data, across multiple time spans: North East Areas Monitoring and Assessment Program (NEAMAP) 2007-2014; Massachusetts Division of Marine Fisheries (MDMF) 1978-2014; 2005-2014; Maine & New Hampshire state trawls (ME/NH) 2000-2014; 20052014 Survey samples for all data sources were collected primarily in September and October, with some in November and a small number in December. v2019_06_01 Much more detail about the NEFSC Ecosystem Assessment Program, along with additional data sets, can be found here: https://www.nefsc.noaa.gov/ecosys/ In 2019, MDAT member The Nature Conservancy (TNC) produced fish biomass and distribution products in partnership with OceanAdapt (a collaboration between the Pinksy Lab at Rutgers University and the National Marine Fisheries Service). These products are also bubble plots of raw observations and IDW surfaces at a 2km x 2km resolution for bottom trawl data from NEFSC during 2010-2017 (fall) and 2010-2016 (spring). All units are kilograms per tow. Survey samples for fall trawls were collected primarily in September and October, with some in November and a small number in December. Spring survey samples were collected from February to April.View Dataset on the Gateway