This map and supporting layers were generated through a GIS exercise to help inform road/ stream crossing surveys as to benefit fish passage and aquatic habitat connectivity. Using a digitized road layer, and Terrainwork's Netmap HUC-8 streamline data for the Yakutat area, we noted all intersections of the road and stream. Then based on a 30 meter buffer from these generated points to all known culvert documentation in the area we removed any that appeared duplicative, and moved on with the analysis with those appearing undocumented.Using Netmap habitat tools and swimming/ rearing characteristics of coho salmon, we were then able to find the upstream extent of anadromy from the culvert through a 12% gradient over 100 meter stream reach representing a gradient barrier, and using Romey et al Habitat Intrinsic Potential Model we further prioritize with the models summations of quality upstream habitat.

Centerpoints for aerial photographs in the UCSB Library collection. This is an export of the raw data from an in-house system used to catalog aerial photographs. It is used to drive a web map app on the UCSB Library's website: http://mil.library.ucsb.edu/ap_indexes/FrameFinder

Feature layer generated from the Current Weather and Wind Station Data Living Atlas layer for the Learn ArcGIS lesson Predict weather with real-time data.

Feature layer generated from running the Merge Layers solution.

Feature layer generated from running the Merge Layers solution.

REQUIRED: A brief narrative summary of the data set.

Descrição: Camadas com Trajeto, acesso e pontos de interesse das principais trilhas do PARNIT.Responsável: SMARHSReferencial Geodésico/DATUM: SIRGAS 2000.Sistema de Projeção: UTM Zone 23S.Formatos de apresentação: .csv, .kml, shapefile.Link para download: https://geoniteroi.maps.arcgis.com/home/item.html?id=339ea69626cf40bab3b43902cd5dbf78

Want to view this data on a map? See City of Castle Pines Public Map

Feature layer generated from running the Merge Layers solution.

Feature layer generated from running the Merge Layers solution.

Feature layer generated from running the Merge Layers solution.

The layer contains cluster of Bond and Capital Improvement projects in 2017 in the city of Dallas.This data layer represents a collection of Bond and Capital Improvement projects initiated in 2017 within the city of Dallas. It visually clusters these projects based on their geographic locations, providing an overview of where investments were concentrated. These projects likely include infrastructure upgrades, public facility improvements, and community development initiatives funded through the 2017 Bond Program. By analyzing this layer, city planners, stakeholders, and residents can gain insights into the distribution of resources and the areas that benefited from these investments.

PJ opportunity areas (10% - 50% PJ) on state and private land in Rich-Morgan-Summit SGMA.

Feature Service generated from running the Merge Layers solution.

Feature layer generated from running the Merge Layers solution.

Feature layer contains merged census geographies for Florida Counties, State House & Senate Districts, Rural Counties, and Rural Areas of Opportunity.

The data show how different types of rocks resist the flow of electrical currents across Ireland. The rock types can then be mapped. The data show the magnetic field strength of different rock types across Ireland. The rock types can then be mapped.The data show the intensity of gamma rays released by Uranium, Thorium and Potassium in different soils and rocks in Ireland. Different soils and rock types can then be mapped. The data were collected between 2005 and 2021.This report summarizes the main operations from the latest A8 and A9 surveys and discusses the processing of the acquired data and its merging with pre-existing datasets to produce seamless merged geophysical datasets. The A6 Block (west Cork) has a small overlap with A9 and is included in the merging of the current data. It is anticipated, however, that a better constrained merge of A6 will be possible after completion of subsequent survey blocks, which will provide more substantial overlap with A6. Several surveys were merged to create this dataset. (1) Tellus Northern Ireland 2005-2006(2) Cavan-Monaghan, 2006(3) Tellus Border, 2011-2012(4) Tellus North Midlands, 2014-2015(5) Block A1, 2015(6) Block A2, 2016(7) Waterford, 2016(8) Block A3, 2017(9) Block A4, 2017(10) Block A5, 2018-2019(11) Block A6, 2018-2019(12) Block A7, 2019(13) Block A8 2020-2021(14) Block A9 2021The Tellus project is a national survey which collects geochemical and geophysical data across Ireland. It allows us to study the chemical and physical properties of our soil, rocks and water. It is managed by the Geological Survey Ireland.

PJ opportunity areas (10% - 50% PJ) on state and private land in Carbon SGMA.

Map for Planning

Feature layer generated from running the Merge Layers solution.