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

Geospatial data about Texas General Land Office State Agency Lands. Export to CAD, GIS, PDF, CSV and access via API.

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.

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.

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.

Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_SphereFalse_Easting: 0.00000000False_Northing: 0.00000000Central_Meridian: 0.00000000Standard_Parallel_1: 0.00000000Auxiliary_Sphere_Type: 0.00000000Linear Unit: MeterGeographic Coordinate System: GCS_WGS_1984Datum: D_WGS_1984Prime Meridian: GreenwichAngular Unit: DegreeData Dictionary:Field NameDescriptionCONTROLNUMUnique GLO numberLANDCONTROLNUMBEROriginal Texas Land Survey control numberSURVEYNAMEName of Entity that conducted survey as apart of Original Texas Land SurveyPartDescriptionDescription of survey partLandCountyNameCounty NameLandCountyAcresAcerage of polygonSectionTractTract number from Original Texas Land SurveyBlockBlock number from Original Texas Land SurveyBlockNameBlock name from Original Texas Land SurveyTownshipCodeTownship code from Original Texas Land SurveyAbstractAbstract number from Original Texas Land SurveyBasefileNumberBase file number from Original Texas Land Survey

Data layer containing habitat creation projects across multiple habitat types along the coast. Points represent the approximate location of project activities.

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.

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.

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 processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

The dataset consists of following shapefiles:

a) Alluvium_Bores_with_Water_Source_Areas.shp: consists of all alluvial bores with information related to the water source they are extracting water from

b) AssginingWaterSourcetoSWPoints.shp: consists of all surface water elements (extraction points) located within the zone of potential hydraulic change (ZoPHC) along with the water source areas

c) GLO_GWMgmtzones.shp & SW_Elements_WaterSourceArea.shp: shapefiles representing the management and water source areas intersecting the Gloucester subregion

d) GLO_ZoPHC_footprint_20161117.shp: shapefile representing the zone of potential hydraulic change.

e) GM_GLO_ElementList_poly_SW.shp: shapefile repenting the surface water polygon elements in the Gloucester Assets database

f) GM_GLO_ElementList_pt_GW.shp & GM_GLO_ElementList_pt_SW.shp: shapefiles representing the groundwater bores as well as surface water extraction points as in the Gloucester Assets database.

g) GWBores_in_Gloucester_Basin_GMA.shp: & GWBores_in_New_England_Fold_Belt_Coast_GMA.shp: shapefile representing the bores located in the Gloucester basin and New England Fold Belt Coast groundwater management areas of the North Coast Fractured and Porous Rock Groundwater Sources 2016 Water Sharing Plan

Dataset History

This dataset consists of economic elements extracted from the Gloucester Assets Database and intersecting the zone of potential hydraulic changes for the Gloucester subregion. The shapefiles were created after created a set of queries defined in ARCGIS software for shapefile datasets in the GIS folder of the Assets database.

The groundwater management areas intersecting the zone of potential hydraulic change were extracted from the Management zones dataset and a shapefile was created by developing a query in the ARCGIS software.

Dataset Citation

Bioregional Assessment Programme (2017) GLO Economic Elements ZoPHC v01. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/d4c64d64-6646-4188-a10f-9525743dd9c1.

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 Asset database for the Gloucester subregion on 21 August 2015

• Derived From Gloucester digitised coal mine boundaries

• Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014

• 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 Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved

• Derived From Asset database for the Gloucester subregion on 29 October 2015

• 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 National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From EIS Gloucester Coal 2010

• 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 Asset database for the Gloucester subregion on 12 February 2016

• Derived From Asset database for the Gloucester subregion on 28 May 2015

• Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014

• Derived From EIS for Rocky Hill Coal Project 2013

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• 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 Asset database for the Gloucester subregion on 29 August 2014

• Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports

• Derived From Groundwater Modelling Report for Stratford Coal Mine

• Derived From National Groundwater Management Zones BOM 20150730

• 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 Freshwater Fish Biodiversity Hotspots

• Derived From NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal

• 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 Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

• Derived From Asset database for the Gloucester subregion on 16 September 2015

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.

Easements for pipelines, power lines, bridges, and other miscellaneous infrastructure located on state-owned upland and submerged lands.Field Definitions:ALL_LESSEEName of the person or entity on leasePROJECT_LATITUDELatitute coordinate of ME point, does not apply to polyline or polygonPROJECT_LONGITUDELongitude coordinate of ME point, does not apply to polyline or polygonSurfaceSystemIDComputer generated counter numberLeaseSystemIDComputer generated counter numberPurposeClassType of lease: i.e. Agricultural, Commercial, Special Document, Industrial, Public, GovernmentShapeShape of lease: point, polygon, polylineGLO_NUMBERUnique GLO lease numberOBJECTIDComputer generated counter number

Geospatial data about Texas General Land Office Hard Minerals. Export to CAD, GIS, PDF, CSV and access via API.

Abstract The dataset was derived by the Bioregional Assessment Programme from one or more 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. The dataset is a shapefile derived based on the current mine boundaries digitised from various reports. It represents the current extent of mines for the Statford Mine and the Duralie …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from one or more 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. The dataset is a shapefile derived based on the current mine boundaries digitised from various reports. It represents the current extent of mines for the Statford Mine and the Duralie Mine within the Gloucester subregion. Mining company reports contain maps of the current extent for these mines and these were digistised to represent the current mine footprint. These areas were used in modelling of surface water and groundwater to assess likely the impacts of mining on water resources in the Gloucester subregion under the basecase scenario. Purpose Used to represent the existing mining footprints for mines operating in the Gloucester Basin. Dataset History Current mine boundaries were digitised from various reports by georectifying images scanned from the reports. These images were used as background images to digitise the boundaries within ArcGIS. Shapefiles were selected from the input dataset representing the mine footprints for the Duralie and Startford mines and saved to create this dataset within ArcGIS. Dataset Citation Bioregional Assessment Programme (XXXX) GLO AEM Model Baseline Mine Footprints v01. Bioregional Assessment Derived Dataset. Viewed 11 July 2018, http://data.bioregionalassessments.gov.au/dataset/12d7bd66-8bb4-4581-961d-b856ad091249. Dataset Ancestors Derived From EIS Gloucester Coal 2010 Derived From EIS for Rocky Hill Coal Project 2013 Derived From Report for Director Generals Requirement Rocky Hill Project 2012 Derived From Gloucester digitised coal mine boundaries Derived From Groundwater Modelling Report for Stratford Coal Mine

Abstract The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from the Gloucester geological model. You can find a link to the parent dataset in the Lineage …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from the Gloucester geological model. 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. The data set contains the image in PNG form exported from the RMS Model for the Gloucester Basin.There is a separate image for the legend. The image shows the depth horizon layers which represents the depth structure of the eight formations found in the Basin. The image was used in ArcGIS to show the depth structure for the RMS model. Dataset History The data set contains the image in PNG form exported from the RMS model for the Gloucester Basin. There is a separate image for the legend. The image was used in ArcGIS to show the depth structure for the RMS model. Depth values were recorded in the well completion reports (GUID: 0529ae9a-4d40-460d-b52a-fb0e5f646746) for the Gloucester Basin, then compiled into text files and surfaces built in the RMS model. Dataset Citation Bioregional Assessment Programme (XXXX) GLO RMS Model Depth Structure v01. Bioregional Assessment Derived Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/9b9cb96b-2e28-4a4f-9358-e52d24b83e23. Dataset Ancestors Derived From GLO Geological Model Extracted Horizons Final Grid XYZ V01 Derived From Gloucester Deep Wells Completion Reports - Geology Derived From GLO DEM 1sec SRTM MGA56 Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM) Derived From GLO Deep Well Locations and Depths of Formations V01

Features in this dataset were used to satisfy Texas Resource Management Codes Sensitive Areas definitions requirements. Boundaries and survey information for tracts in a Navigation District.Submerged lands granted with mineral reservations by the Texas legislature to Navigation Districts.Field Definitions:OBJECTIDComputer generated counter numberDISTRICT_NAMEName of Navigation District, Port Authority or any other entitled jurisdictionFILE_NONavigation District file numberPATENTDate of the award to a given navigation districtTRACT_NOTract number designation for a particular area within a water bodyACRES_LEGALStandardized amount the GLO has established for a tractACRES_GISComputer generated acreage calculationsCOMMENTSDetailed comments to better describe tract if necessaryDEEDLegal document conveying the surface rights to a Navigation District, Port Authority or another valid jurisdictionCONTROLNUMInternal control unique number assigned to a specific tractLAND_TYPEGLO land code assigned for land classificationLAND_IDComputer generated counter numberShapeType of tract: polygonShape.STArea()Computer calculation of areaShape.STLength()Computer calculation of length

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 processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Receptor impact models (RIMs) use inputs from surface water and groundwater models. For a given node, there is a value for each combination of hydrological response variable, future, and replicate or run number. RIMs are developed for specific landscape classes. The hydrological response variables that a RIM within a landscape class requires are organised by the R script RIM_Prediction_CreateArray.R into an array. The formatted data is available as an R data file format called RDS and can be read directly into R. The R script IMIA_XXX_RIM_predictions.R applies the receptor model functions (RDS object as part of Data set 1: Ecological expert elicitation and receptor impact models for the XXX subregion) to the HRV array for each landscape class (or landscape group) to make predictions of receptor impact varibles (RIVs). Predictions of a receptor impact from a RIM for a landscape class are summarised at relevant AUIDs by the 5th through to the 95th percentiles (in 5% increments) for baseline and CRDP futures. These are available in the XXX_RIV_quantiles_IMIA.csv data set. RIV predictions are further summarised and compared as boxplots (using the R script boxplotsbyfutureperiod.R) and as (aggregated) spatial risk maps using GIS.

Dataset History

Receptor impact models (RIMs) are developed for specific landscape classes. The hydrological response variables that a RIM within a landscape class requires are organised by the R script RIM_Prediction_CreateArray.R into an array. The formatted data is available as an R data file format called RDS and can be read directly into R.

The R script IMIA_XXX_RIM_predictions.R applies the receptor model functions (RDS object as part of Data set 1: Ecological expert elicitation and receptor impact models for the XXX subregion) to the HRV array for each landscape class (or landscape group) to make predictions of receptor impact varibles (RIVs). Predictions of a receptor impact from a RIM for a landscape class are summarised at relevant AUIDs by the 5th through to the 95th percentiles (in 5% increments) for baseline and CRDP futures. These are available in the XXX_RIV_quantiles_IMIA.csv data set. RIV predictions are further summarised and compared as boxplots (using the R script boxplotsbyfutureperiod.R) and as (aggregated) spatial risk maps using GIS.

Dataset Citation

Bioregional Assessment Programme (XXXX) GLO Ecological expert elicitation and receptor impact models v01. Bioregional Assessment Derived Dataset. Viewed 12 July 2018, http://data.bioregionalassessments.gov.au/dataset/76fb9d24-b8db-4251-b944-f69f983507ff.

Dataset Ancestors

• 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 BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01

• Derived From Bioregional Assessment areas v06

• Derived From Bioregional Assessment areas v04

• Derived From Bioregional Assessment areas v02

• Derived From Gippsland Project boundary

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From GLO subregion boundaries for Impact and Risk Analysis 20160712 v01

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• 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 Australian Coal Basins

• Derived From Gloucester River Types v01

• Derived From Bioregional Assessment areas v03

• Derived From Bioregional Assessment areas v05

• Derived From BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012

• Derived From GLO Landscape Classification 20161219 v05

• Derived From Gloucester river types V02

• Derived From Gloucester Coal Basin

• 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 Bioregional Assessment areas v01

• Derived From Geofabric Hydrology Reporting Catchments - V2.1

• Derived From Victoria - Seamless Geology 2014

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. This dataset contains contains shapefiles and excel spreadsheets depicting the surface water (30), groundwater (192) and GDE (71) receptor locations for the Gloucester subregion. It is identical to the 20150518 version except that GDA94 latitude and longitude fields have been added to the spreadsheets and shapefile attribute tables Dataset History Receptors were derived as follows: SURFACE WATER RECEPTORS: 21 of the surface water receptors were derived by location the catchment outflow locations of the Gloucester "Asset catchment" polygons. That is Asset polygons where Class = 'River or stream reach, tributary, anabranch or bend'. Outflow locations were determined by identifying the cell of maximum flow accumulation (using the GA 9sec d8 flow direction raster) within the catchment polygon. These were reviewed and some points were manually nudged to snap to the geofabric cartographic streamlines. The d8 derived points are identified in the data as Type = 'Catchment Outflow' The remaining 9 SW receptors were manually located to capture points of interest, namely upstream and downstream of existing and proposed mining operations. GROUNDWATER RECEPTORS: The 192 groundwater receptors are derived from selected bore locations depicted in the the Assets DB, Element_points, namely where AssetList.M0 = 'Yes' AND AssetList.SubGroup = 'Groundwater management zone or area (surface area)' . Three notional bores (ElementID: _ECON_193, _ECON_194 & _ECON_195) from this selection are omitted to arrive at 192 Groundwater receptor locations. GDE RECEPTORS: GDE receptors are derived from the NSW Office of Water GDE dataset and were created as follows. The 71 GDE receptors were located in groundwater dependent ecosystems, as identified by the NSW Office of Water (Kuginis et al. draft). Two criteria were used to identify suitable receptor locations. The following methodology was used to locate GDE receptors: The 3285 GDE polygons within the Gloucester PAE were reduced to 903 patches by combining contiguous polygons using the 'Dissolve' tool in ARCGIS 10.1. These patches were classified into those that lay above the alluvium (159) and those that did not lie above the alluvium (744). We selected patches larger than 4ha as representing more intact and higher ecological value patches of GDE outside of the alluvial zone; however, above the alluvium, where interaction between groundwater and vegetation was most likely, we selected patches that were as small as 1ha to locate receptors (see explanation below) Receptors were then located in the centroid of each patch using the 'Feature to Point (inside)' tool in ARCGIS 10.1. Dataset Citation Bioregional Assessment Programme (XXXX) GLO Receptors 20150828. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/acdd94a6-5201-4026-8177-035f25077587. 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 Groundwater Economic Assets GLO 20150326 Derived From Gloucester digitised coal mine boundaries Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014 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 Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved 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 National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From EIS Gloucester Coal 2010 Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From Asset database for the Gloucester subregion on 28 May 2015 Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014 Derived From EIS for Rocky Hill Coal Project 2013 Derived From National Heritage List Spatial Database (NHL) (v2.1) 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 Asset database for the Gloucester subregion on 29 August 2014 Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From Groundwater Modelling Report for Stratford Coal Mine Derived From Report for Director Generals Requirement Rocky Hill Project 2012 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 Australia - Species of National Environmental Significance Database Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From NSW Office of Water Groundwater Entitlements Spatial Locations Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from the Gloucester geological model. 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.

The data set contains the image in PNG form exported from the RMS geological model for the Gloucester Basin. There is a separate image for the legend. The image shows the eroded depth horizon layers which represents the depth structure of the eight formations found in the Basin after erosion has been applied. The image was used in ArcGIS to show the eroded depth structure for the RMS model.

Dataset History

The data set contains the image in PNG form exported from the RMS model for the Gloucester Basin. There is a separate image for the legend. The image was used in ArcGIS to show the eroded depth structure for the RMS model.Depth values were recorded in the well completion reports (GUID: 0529ae9a-4d40-460d-b52a-fb0e5f646746) for the Gloucester Basin, then compiled into text files and surfaces built in the RMS model.

Dataset Citation

Bioregional Assessment Programme (XXXX) GLO RMS Model Depth Structure Eroded v01. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/d2d676b1-26e5-4b5f-bcf3-60ae7fe41cec.

Dataset Ancestors

• Derived From Gloucester Deep Wells Completion Reports - Geology

• Derived From GLO DEM 1sec SRTM MGA56

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

• Derived From GLO Deep Well Locations and Depths of Formations V01

• Derived From GLO Geological Model Extracted Horizons Final Grid XYZ V01

Here we provide a mosaic of the Copernicus DEM 30m for Europe and the corresponding hillshade derived from the GLO-30 public instance of the Copernicus DEM. The CRS is the same as the original Copernicus DEM CRS: EPSG:4326. Note that GLO-30 Public provides limited coverage at 30 meters because a small subset of tiles covering specific countries are not yet released to the public by the Copernicus Programme. Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. The original GLO-30 provides worldwide coverage at 30 meters (refers to 10 arc seconds). Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Note that the vertical unit for measurement of elevation height is meters. The Copernicus DEM for Europe at 30 m in COG format has been derived from the Copernicus DEM GLO-30, mirrored on Open Data on AWS, dataset managed by Sinergise (https://registry.opendata.aws/copernicus-dem/). Processing steps: The original Copernicus GLO-30 DEM contains a relevant percentage of tiles with non-square pixels. We created a mosaic map in https://gdal.org/drivers/raster/vrt.html format and defined within the VRT file the rule to apply cubic resampling while reading the data, i.e. importing them into GRASS GIS for further processing. We chose cubic instead of bilinear resampling since the height-width ratio of non-square pixels is up to 1:5. Hence, artefacts between adjacent tiles in rugged terrain could be minimized: gdalbuildvrt -input_file_list list_geotiffs_MOOD.csv -r cubic -tr 0.000277777777777778 0.000277777777777778 Copernicus_DSM_30m_MOOD.vrt The pixel values were scaled with 1000 (storing the pixels as integer values) for data volume reduction. In addition, a hillshade raster map was derived from the resampled elevation map (using r.relief, GRASS GIS). Eventually, we exported the elevation and hillshade raster maps in Cloud Optimized GeoTIFF (COG) format, along with SLD and QML style files.