Donation sent to the University of Idaho Library Government Documents Librarian a CD containing General Land Office maps on it. A readme file on the CD contains this information:"I obtained the attached GLO maps from Mitch Price at River Design Group who obtained them from another source. These maps apparently do not have a date, I assume it was stripped off when they were rectified. These maps show the Great Northern Rail line, it arrived in Bonners Ferry in 1892. The Spokane International Railroad (Union Pacific purchased this line) built a bridge across the Kootenai R. in 1906." "I am a bit puzzled on the map dates, the Kootenai River Master Plan indicated these maps are 1862-65 but they also show the Great Northern Rail line but not the Spokane International Railroad which seems to place them somewhere between 1892 - 1906 unless perhaps they were revised at a later date."Gary Barton USGS Tacoma, WA 253-552-1613 officegbarton@usgs.gov

This dataset includes high quality (800 Dots Per Inch - DPI), 24 bit color images of Minnesota's original Public Land Survey (PLS) plats created during the first government land survey of the state from 1848 to 1907. Currently housed at the Office of the Secretary of State, these plats were created by the U.S. Surveyor General's Office. This collection of more than 3,600 maps also includes later General Land Office (GLO) and the Bureau of Land Management (BLM) maps - up to the year 2001.

Minnesota's survey plat maps serve as the fundamental legal records for real estate in the state; all property titles and descriptions stem from them. They also serve as an essential resource for surveyors and as an analytical tool for the state's physical geography prior to European settlement. Finally, they serve as a testimony to years and years of hard work by the surveying community, often under challenging conditions.

In recent years the deteriorating physical condition of the older maps and the needs of technologically more sophisticated researchers, who require access to the maps, have made handling the original paper records increasingly less practical. To meet this challenge, the Office of the Secretary of State, the State Archives of the Minnesota Historical Society, the Minnesota Department of Transportation, MnGeo (formerly the Land Management Information Center - LMIC) and the Minnesota Association of County Surveyors collaborated in a digitization project which produced images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes worth of data. Funding was provided by the Minnesota Department of Transportation.

General Land Office (GLO) Plats 1868-1902 compiled by the North Dakota Department of Water Resources. PLEASE read the Terms of Use for IMPORTANT information.Add this link to your mapping application: https://aerial.dwr.nd.gov/dwrwms NOTES:You will have to zoom in for some layers in order to view them on the map.There are many other layers in this service, not just the one layer that you see in the map viewer by default. Once you add the link to your application, you will see the list of layers.

Government Land Office maps (GLOs) are a result of the effort to survey all United States public lands before settlement. Starting in 1812 land was divided into square six mile blocks called townships, then subdivided into sections and ranges. Each subdivided area was surveyed and given its own map or GLO. During this process surveyors were required to indicate cultural resources such as roads and Indian trails and standardized symbols were used to represent geographic features. These GLOs are now maintained by the Bureau of Land Management as part of the official Land Status and Cadastral Survey records. As land was divided into parcels of individual ownership additional cadastral survey maps were created over time. For this reason there are often multiple GLOs or "cadastral survey maps" for one township / range, generally numbered one through four. For this seamless GLO layer, DAHP focused solely on the more historical GLOs which were usually listed as image number one or two for that specific township / range in the BLM Cadastral Survey records. In some cases no GLOs were available for review. Such areas included National Forest Lands, National Parks, Indian Reservations, and remote wilderness areas.

Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.

The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.

The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.

In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.

This story map is a part of the General Land Office (GLO) Record of the Week (ROTW) project. Each week, the BLM ES will release a story map as a part of the GLO ROTW Project. This project was initiated by BLM Eastern States to share unique records from the GLO Records collection. Survey plat of Cheboygan, Michigan, the location of the Federal Land Office in 1855.

Minnesota's original public land survey field notes were handwritten documents prepared during the first government land survey of the state by the U.S. Surveyor General's Office between 1847 and 1911. The collection of 1,417 paper volumes totals 304,370 pages and is housed at the Minnesota Historical Society (MHS).

The field notes serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They remain an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. They also serve as a testimony to many years of hard work by the surveying community, often under very challenging conditions.

The deteriorating physical condition of the volumes and the need to provide wider public access to the notes have made handling the original volumes increasingly impractical. To meet this challenge, the Office of the Secretary of State, the State Archives of the Minnesota Historical Society, the Minnesota Department of Transportation, the Minnesota Geospatial Information Office, the Minnesota Association of County Surveyors and the U.S. Bureau of Land Management collaborated in a digitization and indexing project which produced high quality (approximately 600 dpi), 24-bit color images of the maps in TIFF and JPEG 2000 formats - over 13 terabytes of data. Funding was provided by a Minnesota Historical and Cultural Heritage grant from the Minnesota Historical Society.

This is a raster dataset of georeferenced township maps from the General Land Office (GLO) surveys beginning in 1836 through 1859. The source of the georeferenced images is scanned microfilm of plats from the State Archives. These plats represent maps drawn from the original field notes by the Surveyor General's Dubuque office.

The Government Land Office (GLO) conducted the original public land survey of Iowa during the period 1832 to 1859. Deputy Surveyors and their assistants produced both field notes and township maps that briefly described the land and its natural resources (vegetation, water, soil, landform, and so on) at the time of the survey. These maps and survey notes are one of few data sources about vegetation distribution before much of Iowa changed to a landscape of intensive agriculture. This coverage represents the observed vegetation by the deputy surveyors when laying out the public land surveys in Iowa.

The original historic plat maps for Wisconsin were created between 1832 and 1866. In most cases, the UW Digital Collections Center does not record a specific creation date for the original maps. However, the collection also contains maps which correct previous editions. These more modern maps typically have a specific date or year defined. To view the survey notes associated with this plat map, please visit http://digicoll.library.wisc.edu/cgi-bin/SurveyNotes/SurveyNotes-idx?type=PLSS&town=T026N&range=R024E.

description: The Digital Geologic Map of the Nanty Glo quadrangle, Pennsylvania is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcView 3.X legend (.AVL) files. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GIS-Geology Coverage/Shapefile Data Model (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 17N. That data is within the area of interest of Allegheny Portage Railroad National Historic Site and Johnstown Flood National Memorial.; abstract: The Digital Geologic Map of the Nanty Glo quadrangle, Pennsylvania is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcView 3.X legend (.AVL) files. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GIS-Geology Coverage/Shapefile Data Model (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 17N. That data is within the area of interest of Allegheny Portage Railroad National Historic Site and Johnstown Flood National Memorial.

Iowa Historic Vegetation map was derived from General Land Office (GLO) surveyor records of 1832-1859. The GLO conducted the original public land survey of Iowa. Deputy Surveyors and their assistants produced both field notes and township maps that briefly described the land and its natural resources (vegetation, water, soil, landform, and so on) at the time of the survey. These maps and survey notes are one of few data sources about vegetation distribution before much of Iowa changed to a landscape of intensive agriculture. This coverage represents the observed vegetation by the deputy surveyors when laying out the public land surveys.

State-owned tracts in bays and gulf waters, owned and leased by the GLO, with codes added that reflect restrictions and concerns associated with leasing of these tracts.Field Definitions: TRACT_NUMBER - unique identifier assigned to tract sequentially based on location ACREAGE - documented acreage of tract CONTROLNUMBER - unique GLO identifier that defines the land type and working file number LAND ID - internal unique identifier

PART - text-based description of the location of tract within it's original overall tract WATERBODY - waterbody in which the tract is located SUB-SDE-NUM - sequentially assigned unique database identifier RMC_Combined - Resource Management Codes that are assigned to the tract. These codes designate any environmental, biological, or historical precautions that should be taken with in the tract. To access the definitions of each of the codes, go to the following link: https://cgis.glo.texas.gov/crm_docs/RMC_Definitions.pdf

The purpose of this map is to assist in retrieving digitized PLSS notes and plats. Indiana has three to four sets of "original" PLSS notes and plats.The field survey set, which the field surveyor originally wrote, is preserved at the Indiana State Archive for approximately 30% of the counties in Indiana.The federal set, which the GLO transcribed, is preserved at the National Archive.The state set, which the GLO transcribed, is preserved at the Indiana State ArchiveThe county sets, transcribed later from the state set by the state auditor, are available from each county surveyor.The file name indicates the source and geographical location within the PLSS. O for the Original set F for the Federal set S for the State set C** for the County set PM0* for the 1st or 2nd Principal Meridian T**N or T**S for the Township (North & South) R**E or R**W for the Range (East & West)This project was made possible by Clayton J. Hogston, who donated over 11,000 hours to create the linked documents. Other contributors include Clayton J. Hogston – Sphere Surveying Co., Lorraine Wright – Rock Solid GIS, Rachel Savich Oser – Oser Surveying & Mapping LLC, and county surveyors with support from the Indiana State Archives, chapters of the Indiana Society of Professional Land Surveyors (ISPLS), the Indiana Geographic Information Council (IGIC), the Indiana Professional Land Surveyors Foundation (IPLSF), and others.Detailed metadata regarding the location of the physical documents within the holding institutions is available on our Internet Archive pages, where the digitized records can also be viewed or downloaded in bulk.

The Texas coast is a system of barrier islands, lagoons, estuaries, plains, and rivers on a low-lying coastal plain with gently sloping topography. Embedded in this natural and dynamic system are a variety of human developments and activities including oil and gas production, heavy industry, shipping, commercial fishing, recreational fishing, agriculture, tourism, and small and large communities dotted throughout the landscape. The natural systems of the coastal plain, however, are dynamic and subject to sudden hazards such as floods, storm winds, storm surge, and erosion superimposed on longer-term processes of ongoing erosion caused by sediment supply changes, shifting habitats, sea level rise (SLR), and climate change. Given the vulnerability of the Texas coast, this study assessed the impacts of relative sea level rise (RSLR) and associated enhanced storm surge to better understand the relative susceptibility to negative impacts on the natural and built environments. This study was part of the third publication of the Texas Coastal Resiliency Master Plan (TCRMP) published in April 2023. TCRMP is an ambitious coastal planning effort by the Texas General Land Office (TGLO) to make the Texas coast more resilient to hazards. For this study, the Harte Research Institute (HRI) developed a dynamic modeling framework to assess quantitative information regarding the impacts of SLR and associated enhanced future storm surge caused by higher sea levels and changes in land cover. For the 2023 TCRMP, two SLR scenarios were modeled - Intermediate-Low scenario (0.5 m of SLR by 2100) and Intermediate-High scenario (1.5 meters of SLR by 2100). The relative component of sea level rise was determined on a regional basis by deriving an average trend from long-term records of coastal tide gauges. Similarly, nineteen synthetic storms, ranging in severity from Category 1 to 3, making landfall near major bay systems or city centers across the Texas coast, were modeled for both the current and 2100 landscapes. The coupled hydrodynamic storm surge model, Advanced CIRCulation (ADCIRC) and Simulating Waves in the Nearshore (SWAN) was used to identify the threat posed by storm surge and nearshore waves to communities and the coastal ecosystem in both the current and 2100 landscapes. To better understand the relative vulnerability to storm surge from the full variety of modeled storms, a storm surge vulnerability map was developed by considering all modeled storms in the present and future landscape scenarios. The result of this modeling served as input for geohazards maps that show current and future exposure to changing environmental dynamics in an area. The geohazards maps were essentially a synthesis of all the modeling work done for this study in one product, providing a detailed representation of the present and future state of the coastal plain, highlighting areas that are most susceptible to hazards, and identifying critical coastal environments to preserve or avoid. This dataset contains geohazards maps with two SLR scenarios modeled for four coastal planning regions covering the Texas coast.

Abstract Gloucester Zone of Potential Hydrological change including input and derived layers. The final Zone of Potential Hydrological Change (ZPHC) is a union of the groundwater ZPHC and suface …Show full descriptionAbstract Gloucester Zone of Potential Hydrological change including input and derived layers. The final Zone of Potential Hydrological Change (ZPHC) is a union of the groundwater ZPHC and suface water ZPHC, which in turn were derived from groundwater and surface water impact modelling. The groundwater component of the ZPHC is where the the probability 5% or greater of equalling or exceeding 0.2m drawdown and is derived from the 95th Quantile layer.. The surface water component of the zone was derived by selecting assessment units within 150m or sharing an alluvial floodplain with an impacted river reach. Some manual post processing tweaks were undertaken to remove anomalous AU cells. Dataset History A selection buffer of 300m was created from the potentially impacted reaches of the surface water modelling interpolated reaches polylines. This was unioned with polygons in the alluvium layer that intersected with the potentially impacted reaches to create the composite selection layer (included in component layer folder). The composite selection layer was manually edited to constrain the extent to that reasonably potentially influenced by changes in river. The composite selection layer was used to select, by intersection, AUs that represented the surface water Dataset Citation Bioregional Assessment Programme (2017) GLO ZoPHC and component layers 20170321. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/7f343d58-ed28-48a8-9321-df92aab9cbbc. Dataset Ancestors Derived From Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW) Derived From NSW Office of Water GW licence extract linked to spatial locations - GLO v5 UID elements 27032014 Derived From GLO Assessment units 500m 20160705 Derived From Gloucester digitised coal mine boundaries Derived From GLO Surface water model RiverStyle ghost nodes 20160829 v01 Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014 Derived From Greater Hunter Native Vegetation Mapping with Classification for Mapping Derived From Australian Coal Basins Derived From GLO DEM 1sec SRTM MGA56 Derived From Natural Resource Management (NRM) Regions 2010 Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014 Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Asset database for the Gloucester subregion on 12 September 2014 Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008 Derived From National Groundwater Information System (NGIS) v1.1 Derived From GLO SW Modelling Reaches and HRV lookup 20170328 v08 Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved Derived From GLO Receptors 20150518 Derived From GLO Landscape Classification v01 Derived From Bioregional Assessment areas v02 Derived From R-scripts for uncertainty analysis v01 Derived From River Styles Spatial Layer for New South Wales Derived From New South Wales 2 kilometers Residential Exclusions Zone Derived From Geofabric Surface Cartography - V2.1 Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320 Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 - External Restricted Derived From Mean Annual Climate Data of Australia 1981 to 2012 Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From EIS Gloucester Coal 2010 Derived From GLO Assessment units 500m 20160815 v02 Derived From Report for Director Generals Requirement Rocky Hill Project 2012 Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Geological Maps Combined for NSW Derived From Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014 Derived From GEODATA TOPO 250K Series 3 Derived From Asset database for the Gloucester subregion on 28 May 2015 Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From Geological Provinces - Full Extent Derived From GLO Preliminary Assessment Extent Derived From BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012 Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014 Derived From GLO Surface water model RiverStyle ghost nodes 20161004 v02 Derived From GLO Geological Model Extracted Horizons Final Grid XYZ V01 Derived From EIS for Rocky Hill Coal Project 2013 Derived From Gloucester River Types v01 Derived From GLO AEM dmax v01 Derived From BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From Gloucester river types V02 Derived From Asset database for the Gloucester subregion on 8 April 2015 Derived From Gloucester - Additional assets from local councils Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From Gloucester Deep Wells Completion Reports - Geology Derived From Asset database for the Gloucester subregion on 29 August 2014 Derived From Gloucester Coal Basin Derived From GLO Landscape Classes split by 500m Assessment Units v01 Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From Greater Hunter Native Vegetation Mapping Derived From Groundwater Modelling Report for Stratford Coal Mine Derived From Subcatchment boundaries within and nearby the Gloucester subregion Derived From AGL Gloucester Gas Project AECOM report location map features Derived From GLO RMS Model Depth Structure Eroded v01 Derived From Groundwater Economic Assets GLO 20150326 Derived From NSW Office of Water Groundwater Licence Extract Gloucester - Oct 2013 Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From GLO Deep Well Locations and Depths of Formations V01 Derived From Freshwater Fish Biodiversity Hotspots Derived From NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014 Derived From GLO AEM Model v02 Derived From Australia - Species of National Environmental Significance Database Derived From Bioregional Assessment areas v01 Derived From Geofabric Hydrology Reporting Catchments - V2.1 Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From GLO AEM interpolated exceedance probabilities v01 Derived From NSW Office of Water Groundwater Entitlements Spatial Locations Derived From GLO Receptors 20150828 Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release) Derived From GLO Surface Water Receptors Landscape Types 20150611 Derived From Australian Geological Provinces, v02

Abstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Gloucester Zone of Potential Hydrological change including input and derived layers. The final Zone of Potential Hydrological Change (ZPHC) is a union of the groundwater ZPHC and suface water ZPHC, which in turn were derived from groundwater and surface water impact modelling. The groundwater component of the ZPHC is where the the probability of exceeding 0.2m of drawdown is greater than or equal to 5%. The surface water component of the zone was derived by selecting assessment units within 300m or sharing an alluvial floodplain with an impacted river reach. Some manual post processing tweaks were undertaken to remove anomalous AU cells. Dataset History A selection buffer of 300m was created from the potentially impacted reaches of the surface water modelling interpolated reaches polylines. This was unioned with polygons in the alluvium layer that intersected with the potentially impacted reaches to create the composite selection layer (included in component layer folder). The composite selection layer was manually edited to constrain the extent to that reasonably potentially influenced by changes in river. The composite selection layer was used to select, by intersection, AUs that represented the surface water Dataset Citation Bioregional Assessment Programme (2017) GLO ZoPHC and component layers 20170120. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/9a89fefa-1b34-41c9-9028-06b0b3238bee. Dataset Ancestors Derived From Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW) Derived From NSW Office of Water GW licence extract linked to spatial locations - GLO v5 UID elements 27032014 Derived From Gloucester - Additional assets from local councils Derived From Groundwater Economic Assets GLO 20150326 Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 - External Restricted Derived From Gloucester digitised coal mine boundaries Derived From GLO Surface water model RiverStyle ghost nodes 20160829 v01 Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014 Derived From Greater Hunter Native Vegetation Mapping with Classification for Mapping Derived From EIS for Rocky Hill Coal Project 2013 Derived From Groundwater Modelling Report for Stratford Coal Mine Derived From GLO Geological Model Extracted Horizons Final Grid XYZ V01 Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014 Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From NSW Office of Water Groundwater Entitlements Spatial Locations Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Asset database for the Gloucester subregion on 12 September 2014 Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008 Derived From National Groundwater Information System (NGIS) v1.1 Derived From GLO Receptors 20150518 Derived From GLO Assessment units 500m 20160705 Derived From Asset database for the Gloucester subregion on 8 April 2015 Derived From Bioregional Assessment areas v02 Derived From R-scripts for uncertainty analysis v01 Derived From Asset database for the Gloucester subregion on 28 May 2015 Derived From New South Wales 2 kilometers Residential Exclusions Zone Derived From Natural Resource Management (NRM) Regions 2010 Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320 Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved Derived From GLO RMS Model Depth Structure Eroded v01 Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From EIS Gloucester Coal 2010 Derived From GLO Assessment units 500m 20160815 v02 Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Geological Maps Combined for NSW Derived From Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014 Derived From GEODATA TOPO 250K Series 3 Derived From Australian Geological Provinces, v02 Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From Geological Provinces - Full Extent Derived From GLO Preliminary Assessment Extent Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014 Derived From GLO Surface water model RiverStyle ghost nodes 20161004 v02 Derived From Australian Coal Basins Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Gloucester River Types v01 Derived From GLO AEM dmax v01 Derived From BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01 Derived From Gloucester river types V02 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From GLO Deep Well Locations and Depths of Formations V01 Derived From GLO DEM 1sec SRTM MGA56 Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From Gloucester Deep Wells Completion Reports - Geology Derived From Asset database for the Gloucester subregion on 29 August 2014 Derived From Gloucester Coal Basin Derived From GLO Landscape Classes split by 500m Assessment Units v01 Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From Greater Hunter Native Vegetation Mapping Derived From Mean Annual Climate Data of Australia 1981 to 2012 Derived From Subcatchment boundaries within and nearby the Gloucester subregion Derived From AGL Gloucester Gas Project AECOM report location map features Derived From Report for Director Generals Requirement Rocky Hill Project 2012 Derived From Geofabric Surface Cartography - V2.1 Derived From NSW Office of Water Groundwater Licence Extract Gloucester - Oct 2013 Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From Freshwater Fish Biodiversity Hotspots Derived From NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014 Derived From GLO AEM Model v02 Derived From River Styles Spatial Layer for New South Wales Derived From Australia - Species of National Environmental Significance Database Derived From GLO SW Modelling Reaches and HRV lookup 20170119 v05 Derived From Bioregional Assessment areas v01 Derived From Geofabric Hydrology Reporting Catchments - V2.1 Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From GLO AEM interpolated exceedance probabilities v01 Derived From BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012 Derived From GLO Receptors 20150828 Derived From GLO Landscape Classification v01 Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release) Derived From GLO Surface Water Receptors Landscape Types 20150611

Donation sent to the University of Idaho Library Government Documents Librarian a CD containing General Land Office maps on it. A readme file on the CD contains this information:"I obtained the attached GLO maps from Mitch Price at River Design Group who obtained them from another source. These maps apparently do not have a date, I assume it was stripped off when they were rectified. These maps show the Great Northern Rail line, it arrived in Bonners Ferry in 1892. The Spokane International Railroad (Union Pacific purchased this line) built a bridge across the Kootenai R. in 1906." "I am a bit puzzled on the map dates, the Kootenai River Master Plan indicated these maps are 1862-65 but they also show the Great Northern Rail line but not the Spokane International Railroad which seems to place them somewhere between 1892 - 1906 unless perhaps they were revised at a later date."Gary Barton USGS Tacoma, WA 253-552-1613 officegbarton@usgs.gov

Abstract The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from a NSW Office of Water dataset. You can find a link to the parent dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. This polygon dataset shows the Water Source Area boundaries for the Catchment areas that intersect with the Gloucester subregion. Boundaries were extracted from the NSW Water Sharing Plan …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from a NSW Office of Water dataset. You can find a link to the parent dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. This polygon dataset shows the Water Source Area boundaries for the Catchment areas that intersect with the Gloucester subregion. Boundaries were extracted from the NSW Water Sharing Plan (WSP) database (see lineage), and dissolved on the "WATER_SOURCE" field. Dataset History Polygons from the data set "NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions" were selected based on their intersection with river catchments intersected with the Gloucester subregion boundary. These selected polygons were then DISSOLVEd on the "WATER_SOURCE" field. The Fields "Basin" and "Map_Label" were added and attributed as required to facilitate selective map display, symbology, labeling etc. for report maps images. Dataset Citation Bioregional Assessment Programme (XXXX) GLO Catchments Water Source Boundaries. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/781a8b81-93b8-4cde-9b56-00291d7543ea. Dataset Ancestors Derived From Natural Resource Management (NRM) Regions 2010 Derived From Geofabric Hydrology Reporting Regions - V2.1 Derived From Bioregional Assessment areas v01 Derived From Bioregional Assessment areas v02 Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From GEODATA TOPO 250K Series 3 Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From Geological Provinces - Full Extent Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)