Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
URL: https://geoscience.data.qld.gov.au/dataset/ds000001
This practice direction forms part of the Queensland Resources Reporting Lodgement, GSQ Open Data Portal, Reporting Guideline 2020 to assist industry with spatial data lodgement.
The purpose is to outline in greater detail, formatting and content requirements to ensure the standardisation of spatial information and provide consistency of submissions received, enabling the department to more effectively standardise, process and integrate the data.
Submitted data must meet the standards for content and file formats as set out in this document. Lodgement will be via use of submission templates, designed to guide the user in assembling data, and to ensure consistency with the defined data formats and standards.
This practice direction has been divided into two sections covering the submission of spatial information as digital spatial data and digital maps.
The Spatial Data Directives specification lays out the requirements for delivery of spatial data to support various forest management needs. The specification provides the details on the datasets required and the format of these data. This guide outlines the spatial data submission requirements for final harvest areas and silvicultural activity polygons.
description: Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to a much greater extent than was possible in the past. The minimum requirement for hydraulics data includes input and output files for all hydraulic models and spatial datasets that are needed to implement the models. (Source: FEMA Guidelines and Specs, Appendix M(Version, August 2011)); abstract: Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to a much greater extent than was possible in the past. The minimum requirement for hydraulics data includes input and output files for all hydraulic models and spatial datasets that are needed to implement the models. (Source: FEMA Guidelines and Specs, Appendix M(Version, August 2011))
The Prospective Seal Unit Spatial Extent Database for U.S. Sedimentary Basins contains a series of spatial datasets representing spatial extents of publicly available data for caprock and seal rock units within the Appalachian Basin, Denver-Julesburg Basin, Great Valley Basin (Sacramento and San Joaquin Basins), Illinois Basin, Michigan Basin, San Juan Basin, U.S. Gulf Coast Basin, and Williston Basin. The database is designed to support carbon storage feasibility and resources assessment for carbon transport and storage (CTS) projects while displaying the spatial extent of prospective seal units and provide a guide to the original data source. This database leverages publicly available data resources from authoritative sources (e.g. U.S. Geological Survey, State Geologic Surveys, and published reports), and aims to help guide users to understand the seal unit's spatial coverage and data gaps from the regional to sub-basin/field scale. The database is organized by seal unit/formation, including the spatial extent for data found to be available for the seal unit. The various datasets represented include spatial extents of the lithologic formation, depth to top structural contour maps, and thickness/isopach maps. Included in this submission are the following resources: 1. Geodatabase/Dataset: “prospective-seal-unit-extents-2025.gdb” 2. ReadMe: “readme-prospective-seal-unit-spatial-extent-dataset-2025.pdf” 3. Data Catalog: “prospective-seal-unit-spatial-extents-data-catalog-2025.xlsx” 4. Data Sources Key: “data-source.csv” Please see NETL disclaimers here: https://netl.doe.gov/home/disclaimer
description: Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to a much greater extent than was possible in the past. The minimum requirement for hydraulics data includes input and output files for all hydraulic models and spatial datasets that are needed to implement the models. (Source: FEMA Guidelines and Specifications, Appendix N).; abstract: Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to a much greater extent than was possible in the past. The minimum requirement for hydraulics data includes input and output files for all hydraulic models and spatial datasets that are needed to implement the models. (Source: FEMA Guidelines and Specifications, Appendix N).
description: Survey data includes spatial datasets and data tables necessary to dogitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and Specs, Appendix N); abstract: Survey data includes spatial datasets and data tables necessary to dogitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and Specs, Appendix N)
description: Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic processes for estimating flood discharges for a flood insurance study, which includes the hydrologic data expected by FEMA for new riverine studies. (Source: FEMA Guidelines and Specifications, Appendix N); abstract: Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic processes for estimating flood discharges for a flood insurance study, which includes the hydrologic data expected by FEMA for new riverine studies. (Source: FEMA Guidelines and Specifications, Appendix N)
description: Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic procedures for estimating flood discharges for a flood insurance study, which includes the hydrologic data expected by FEMA for new riverline studies. (Source: FEMA Guidelines and Specifications, Appendix N); abstract: Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic procedures for estimating flood discharges for a flood insurance study, which includes the hydrologic data expected by FEMA for new riverline studies. (Source: FEMA Guidelines and Specifications, Appendix N)
description: Hydraulics data include spatial datasets and data tables necessary for documenting the hydraulic procedures for estimating base flood elevation for a flood insurance study, which includes the hydraulic data expected by FEMA for new riverline studies. (Source: FEMA Guidelines and Specifications, Data Capture Standards, Appendix M); abstract: Hydraulics data include spatial datasets and data tables necessary for documenting the hydraulic procedures for estimating base flood elevation for a flood insurance study, which includes the hydraulic data expected by FEMA for new riverline studies. (Source: FEMA Guidelines and Specifications, Data Capture Standards, Appendix M)
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
URL: https://geoscience.data.qld.gov.au/dataset/ds000001
This practice direction forms part of the Queensland Resources Reporting Lodgement, GSQ Open Data Portal, Reporting Guideline 2020 to assist industry with spatial data lodgement.
The purpose is to outline in greater detail, formatting and content requirements to ensure the standardisation of spatial information and provide consistency of submissions received, enabling the department to more effectively standardise, process and integrate the data.
Submitted data must meet the standards for content and file formats as set out in this document. Lodgement will be via use of submission templates, designed to guide the user in assembling data, and to ensure consistency with the defined data formats and standards.
This practice direction has been divided into two sections covering the submission of spatial information as digital spatial data and digital maps.