This data release presents geologic map data for the surficial geology of the Aztec 1-degree by 2-degree quadrangle. The map area lies within two physiographic provinces of Fenneman (1928): the Southern Rocky Mountains province, and the Colorado Plateau province, Navajo section. Geologic mapping is mostly compiled from published geologic map data sources ranging from 1:24,000 to 1:250,000 scale, with limited new interpretive contributions. Gaps in map compilation are related to a lack of published geologic mapping at the time of compilation, and not necessarily a lack of surficial deposits. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation model and natural-color image data sources to improve spatial resolution of the data. Spatial adjustments and new interpretations also eliminate mismatches at source map boundaries. This data set represents only the surficial geology, defined as generally unconsolidated to moderately consolidated sedimentary deposits that are Quaternary or partly Quaternary in age, and faults that have documented Quaternary offset. Bedrock and sedimentary material directly deposited as a result of volcanic activity are not included in this database, nor are faults that are not known to have moved during the Quaternary. Map units in the Aztec quadrangle include alluvium, glacial, eolian, mass-wasting, colluvium, and alluvium/colluvium deposit types. Alluvium map units, present throughout the map area, range in age from Quaternary-Tertiary to Holocene and form stream-channel, floodplain, terrace, alluvial-fan, and pediment deposits. Along glaciated drainages terraces are commonly made up of glacial outwash. Glacial map units are concentrated in the northeast corner of the map area and are mostly undifferentiated till deposited in mountain valleys during Pleistocene glaciations. Eolian map units are mostly middle Pleistocene to Holocene eolian sand deposits forming sand sheets and dunes. Mass-wasting map units are concentrated in the eastern part of the map area, and include deposits formed primarily by slide, slump, earthflow, and rock-fall processes. Colluvium and alluvium/colluvium map units form hillslope and undifferentiated valley floor/hillslope deposits, respectively. The detail of geologic mapping varies from about 1:50,000- to 1:250,000-scale depending on the scale of published geologic maps available at the time of compilation, and for new mapping, the resolution of geologic features on available basemap data. Map units are organized within geologic provinces as described by the Seamless Integrated Geologic Mapping (SIGMa) (Turner and others, 2022) extension to the Geologic Map Schema (GeMS) (USGS, 2020). For this data release, first order geologic provinces are the physiographic provinces of Fenneman (1928), which reflect the major geomorphological setting affecting depositional processes. Second order provinces are physiographic sections of Fenneman (1928) if present. Third and fourth order provinces are defined by deposit type. Attributes derived from published source maps are recorded in the map unit polygons to preserve detail and allow database users the flexibility to create derivative map units. Map units constructed by the authors are based on geologic province, general deposit type and generalized groupings of minimum and maximum age to create a number of units typical for geologic maps of this scale. Polygons representing map units were assigned a host of attributes to make that geology easily searchable. Each polygon contains a general depositional process (‘DepositGeneral’) as well as three fields that describe more detailed depositional processes responsible for some deposition in that polygon (‘LocalGeneticType1’ – ‘LocalGeneticType3’). Three fields describe the materials that make up the deposit (‘LocalMaterial1’ – ‘LocalMaterial3’) and the minimum and maximum chronostratigraphic age of a deposit is stored in the ‘LocalAgeMin’ and ‘LocalAgeMax’ fields, respectively. Where a polygon is associated with a prominent landform or a formal stratigraphic name the ‘LocalLandform’ and ‘LocalStratName’ fields are populated. The field ‘LocalThickness’ provides a textual summary of how thick a source publication described a deposit to be. Where three fields are used to describe the contents of a deposit, we attempt to place descriptors in a relative ordering such that the first field is most prominent, however for remotely interpreted deposits and some sources that provide generalized descriptions this was not possible. Values within these searchable fields are generally taken directly from source maps, however we do perform some conservative adjustments of values based on observations from the landscape and/or adjacent source maps. Where new features were interpreted from remote observations, we derive polygon attributes based on a conservative correlation to neighboring maps. Detail provided at the polygon level is simplified into a map unit by matching its values to the DescriptionOfMapUnits_Surficial table. Specifically, we construct map units within each province based on values of ‘DepositGeneral’ and a set of chronostratigraphic age bins that attempt to capture important aspects of Quaternary landscape evolution. Polygons are assigned to the mapunit with a corresponding ‘DepositGeneral’ and the narrowest chronostratigraphic age bin that entirely contains the ‘LocalAgeMin’ and ‘LocalAgeMax’ values of that polygon. Therefore, users may notice some mismatch between the age range of a polygon and the age range of the assigned map unit, where ‘LocalAgeMin’ and ‘LocalAgeMax’ (e.g., Holocene – Holocene) may define a shorter temporal range than suggested by the map unit (e.g., Holocene – late Pleistocene). This apparent discrepancy allows for detailed information to be preserved in the polygons, while also allowing for an integrated suite of map units that facilitate visualization over a large region.

This dataset contsin the raw fMRI data of a preregistered study. Dataset includes:

session pre 1. anat/ anatomical scans (T1-weighted images) for each subject 2. func/ whole-brain EPI data from all task runs (8x single task, 2x dual task, 1x resting state and 2x localizer task) 3. fmap/ fieldmaps with magnitude1, magnitude2 and phasediff

session post 2. func/ whole-brain EPI data from all task runs (8x single task, 2x dual task) 3. fmap/ fieldmaps with magnitude1, magnitude2 and phasediff

Please note, some participants did not complete the post session. We updated our consent form to get explicit permission to publish the individual data, although not all participants resigned the new version. Those participants are excluded here but part of the t-maps on neurovault (compare participants.tsv).

Tasks were always included either visual or/and auditory input and required either manual or/and vocal responses (visual+manual and auditory+vocal are modality compatible and visual+vocal and auditory+manual are modality incompatible). Tasks were presented as either single task, or dual task. Participants completed a practice intervention prior to session post in which one group worked for 80 minutes outside the scanner on modality incompatible dual-tasks, one on modality compatible dual-task and the third one paused for 80 min.

For exact tasks description and material and scripts, please see the preregistration: https://osf.io/whpz8

This dataset shows the structure form lines for the Province of Saskatchewan and is designed for the Resource Map of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution.

**Please Note – All published Saskatchewan Geological Survey datasets,

including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

Overview The Office of the Geographer and Global Issues at the U.S. Department of State produces the Large Scale International Boundaries (LSIB) dataset. The current edition is version 11.4 (published 24 February 2025). The 11.4 release contains updated boundary lines and data refinements designed to extend the functionality of the dataset. These data and generalized derivatives are the only international boundary lines approved for U.S. Government use. The contents of this dataset reflect U.S. Government policy on international boundary alignment, political recognition, and dispute status. They do not necessarily reflect de facto limits of control. National Geospatial Data Asset This dataset is a National Geospatial Data Asset (NGDAID 194) managed by the Department of State. It is a part of the International Boundaries Theme created by the Federal Geographic Data Committee. Dataset Source Details Sources for these data include treaties, relevant maps, and data from boundary commissions, as well as national mapping agencies. Where available and applicable, the dataset incorporates information from courts, tribunals, and international arbitrations. The research and recovery process includes analysis of satellite imagery and elevation data. Due to the limitations of source materials and processing techniques, most lines are within 100 meters of their true position on the ground. Cartographic Visualization The LSIB is a geospatial dataset that, when used for cartographic purposes, requires additional styling. The LSIB download package contains example style files for commonly used software applications. The attribute table also contains embedded information to guide the cartographic representation. Additional discussion of these considerations can be found in the Use of Core Attributes in Cartographic Visualization section below. Additional cartographic information pertaining to the depiction and description of international boundaries or areas of special sovereignty can be found in Guidance Bulletins published by the Office of the Geographer and Global Issues: https://data.geodata.state.gov/guidance/index.html Contact Direct inquiries to internationalboundaries@state.gov. Direct download: https://data.geodata.state.gov/LSIB.zip Attribute Structure The dataset uses the following attributes divided into two categories: ATTRIBUTE NAME | ATTRIBUTE STATUS CC1 | Core CC1_GENC3 | Extension CC1_WPID | Extension COUNTRY1 | Core CC2 | Core CC2_GENC3 | Extension CC2_WPID | Extension COUNTRY2 | Core RANK | Core LABEL | Core STATUS | Core NOTES | Core LSIB_ID | Extension ANTECIDS | Extension PREVIDS | Extension PARENTID | Extension PARENTSEG | Extension These attributes have external data sources that update separately from the LSIB: ATTRIBUTE NAME | ATTRIBUTE STATUS CC1 | GENC CC1_GENC3 | GENC CC1_WPID | World Polygons COUNTRY1 | DoS Lists CC2 | GENC CC2_GENC3 | GENC CC2_WPID | World Polygons COUNTRY2 | DoS Lists LSIB_ID | BASE ANTECIDS | BASE PREVIDS | BASE PARENTID | BASE PARENTSEG | BASE The core attributes listed above describe the boundary lines contained within the LSIB dataset. Removal of core attributes from the dataset will change the meaning of the lines. An attribute status of “Extension” represents a field containing data interoperability information. Other attributes not listed above include “FID”, “Shape_length” and “Shape.” These are components of the shapefile format and do not form an intrinsic part of the LSIB. Core Attributes The eight core attributes listed above contain unique information which, when combined with the line geometry, comprise the LSIB dataset. These Core Attributes are further divided into Country Code and Name Fields and Descriptive Fields. County Code and Country Name Fields “CC1” and “CC2” fields are machine readable fields that contain political entity codes. These are two-character codes derived from the Geopolitical Entities, Names, and Codes Standard (GENC), Edition 3 Update 18. “CC1_GENC3” and “CC2_GENC3” fields contain the corresponding three-character GENC codes and are extension attributes discussed below. The codes “Q2” or “QX2” denote a line in the LSIB representing a boundary associated with areas not contained within the GENC standard. The “COUNTRY1” and “COUNTRY2” fields contain the names of corresponding political entities. These fields contain names approved by the U.S. Board on Geographic Names (BGN) as incorporated in the ‘"Independent States in the World" and "Dependencies and Areas of Special Sovereignty" lists maintained by the Department of State. To ensure maximum compatibility, names are presented without diacritics and certain names are rendered using common cartographic abbreviations. Names for lines associated with the code "Q2" are descriptive and not necessarily BGN-approved. Names rendered in all CAPITAL LETTERS denote independent states. Names rendered in normal text represent dependencies, areas of special sovereignty, or are otherwise presented for the convenience of the user. Descriptive Fields The following text fields are a part of the core attributes of the LSIB dataset and do not update from external sources. They provide additional information about each of the lines and are as follows: ATTRIBUTE NAME | CONTAINS NULLS RANK | No STATUS | No LABEL | Yes NOTES | Yes Neither the "RANK" nor "STATUS" fields contain null values; the "LABEL" and "NOTES" fields do. The "RANK" field is a numeric expression of the "STATUS" field. Combined with the line geometry, these fields encode the views of the United States Government on the political status of the boundary line. ATTRIBUTE NAME | | VALUE | RANK | 1 | 2 | 3 STATUS | International Boundary | Other Line of International Separation | Special Line A value of “1” in the “RANK” field corresponds to an "International Boundary" value in the “STATUS” field. Values of ”2” and “3” correspond to “Other Line of International Separation” and “Special Line,” respectively. The “LABEL” field contains required text to describe the line segment on all finished cartographic products, including but not limited to print and interactive maps. The “NOTES” field contains an explanation of special circumstances modifying the lines. This information can pertain to the origins of the boundary lines, limitations regarding the purpose of the lines, or the original source of the line. Use of Core Attributes in Cartographic Visualization Several of the Core Attributes provide information required for the proper cartographic representation of the LSIB dataset. The cartographic usage of the LSIB requires a visual differentiation between the three categories of boundary lines. Specifically, this differentiation must be between: International Boundaries (Rank 1); Other Lines of International Separation (Rank 2); and Special Lines (Rank 3). Rank 1 lines must be the most visually prominent. Rank 2 lines must be less visually prominent than Rank 1 lines. Rank 3 lines must be shown in a manner visually subordinate to Ranks 1 and 2. Where scale permits, Rank 2 and 3 lines must be labeled in accordance with the “Label” field. Data marked with a Rank 2 or 3 designation does not necessarily correspond to a disputed boundary. Please consult the style files in the download package for examples of this depiction. The requirement to incorporate the contents of the "LABEL" field on cartographic products is scale dependent. If a label is legible at the scale of a given static product, a proper use of this dataset would encourage the application of that label. Using the contents of the "COUNTRY1" and "COUNTRY2" fields in the generation of a line segment label is not required. The "STATUS" field contains the preferred description for the three LSIB line types when they are incorporated into a map legend but is otherwise not to be used for labeling. Use of the “CC1,” “CC1_GENC3,” “CC2,” “CC2_GENC3,” “RANK,” or “NOTES” fields for cartographic labeling purposes is prohibited. Extension Attributes Certain elements of the attributes within the LSIB dataset extend data functionality to make the data more interoperable or to provide clearer linkages to other datasets. The fields “CC1_GENC3” and “CC2_GENC” contain the corresponding three-character GENC code to the “CC1” and “CC2” attributes. The code “QX2” is the three-character counterpart of the code “Q2,” which denotes a line in the LSIB representing a boundary associated with a geographic area not contained within the GENC standard. To allow for linkage between individual lines in the LSIB and World Polygons dataset, the “CC1_WPID” and “CC2_WPID” fields contain a Universally Unique Identifier (UUID), version 4, which provides a stable description of each geographic entity in a boundary pair relationship. Each UUID corresponds to a geographic entity listed in the World Polygons dataset. These fields allow for linkage between individual lines in the LSIB and the overall World Polygons dataset. Five additional fields in the LSIB expand on the UUID concept and either describe features that have changed across space and time or indicate relationships between previous versions of the feature. The “LSIB_ID” attribute is a UUID value that defines a specific instance of a feature. Any change to the feature in a lineset requires a new “LSIB_ID.” The “ANTECIDS,” or antecedent ID, is a UUID that references line geometries from which a given line is descended in time. It is used when there is a feature that is entirely new, not when there is a new version of a previous feature. This is generally used to reference countries that have dissolved. The “PREVIDS,” or Previous ID, is a UUID field that contains old versions of a line. This is an additive field, that houses all Previous IDs. A new version of a feature is defined by any change to the

Hydric soils are defined as those soils that are sufficiently wet in the upper part to develop anaerobic conditions during the growing season. The Hydric Soils section presents the most current information about hydric soils. The lists of hydric soils were created by using National Soil Information System (NASIS) database selection criteria that were developed by the National Technical Committee for Hydric Soils. These criteria are selected soil properties that are documented in Soil Taxonomy (Soil Survey Staff, 1999) and were designed primarily to generate a list of potentially hydric soils from the National Soil Information System (NASIS) database. It updates information that was previously published in Hydric Soils of the United States and coordinates it with information that has been published in the Federal Register. It also includes the most recent set of field indicators of hydric soils. The database selection criteria are selected soil properties that are documented in Soil Taxonomy and were designed primarily to generate a list of potentially hydric soils from soil survey databases. Only criteria 1, 3, and 4 can be used in the field to determine hydric soils; however, proof of anaerobic conditions must also be obtained for criteria 1, 3, and 4 either through data or best professional judgment (from Tech Note 1). The primary purpose of these selection criteria is to generate a list of soil map unit components that are likely to meet the hydric soil definition. Caution must be used when comparing the list of hydric components to soil survey maps. Many of the soils on the list have ranges in water table depths that allow the soil component to range from hydric to nonhydric depending on the location of the soil within the landscape as described in the map unit. Lists of hydric soils along with soil survey maps are good off-site ancillary tools to assist in wetland determinations, but they are not a substitute for observations made during on-site investigations. The list of field indicators of hydric soils — The field indicators are morphological properties known to be associated with soils that meet the definition of a hydric soil. Presence of one or more field indicators suggests that the processes associated with hydric soil formation have taken place on the site being observed. The field indicators are essential for hydric soil identification because once formed, they persist in the soil during both wet and dry seasonal periods. The Hydric Soil Technical Notes — Contain National Technical Committee for Hydric Soils (NTCHS) updates, insights, standards, and clarifications. Users can query the database by State or by Soil Survey Area. Resources in this dataset:Resource Title: Website Pointer to Hydric Soils . File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/main/soils/use/hydric/ Includes description of Criteria, Query by State or Soil Survey Area, national Technical Committee for Hydric Soils. Technical Notes, and Related Links. Report Metadata:

• Area_Symbol: A symbol that uniquely identifies a single occurrence of a particular type of area (e.g. Dane Co., Wisconsin is WI025).
• Area_Name: The name given to the specified geographic area.
• mukey: A non-connotative string of characters used to uniquely identify a record in the Mapunit table.
• Mapunit_SYM: The symbol used to uniquely identify the soil mapunit in the soil survey.
• Mapunit_Name: Correlated name of the mapunit (recommended name or field name for surveys in progress).
• Comp_Name_phase: Component name - Name assigned to a component based on its range of properties. Local Phase - Phase criterion to be used at a local level, in conjunction with "component name" to help identify a soil component.
• muacres: The number of acres of a particular mapunit.
• Comp_RV_Pct: The percentage of the component of the mapunit.
• majcompflag: Indicates whether or not a component is a major component in the mapunit.
• Comp_Acres: The number of acres of a particular component in a mapunit. ((muacres*comppct_r)/100)
• Comp_Landform: A word or group of words used to name a feature on the earth's surface, expressed in the plural form. Column Physical
• Hydric_Rating: A yes/no field that indicates whether or not a map unit component is classified as a "hydric soil". If rated as hydric, the specific criteria met are listed in the Component Hydric Criteria table.
• Hydric_criteria: Criterion code for the soil characteristic(s) and/or feature(s) that cause the map unit component to be classified as a "hydric soil." These codes are the paragraph numbers in the hydric soil criteria publication.

Criteria:

1. All Histels except Folistels and Histosols except Folists; or
2. Map unit components in Aquic suborders, great groups, or subgroups, Albolls suborder, Historthels great group, Histoturbels great group, or Andic, Cumulic, Pachic, or Vitrandic subgroups that: a. Based on the range of characteristics for the soil series, will at least in part meet one or more Field Indicators of Hydric Soils in the United States, or b. Show evidence that the soil meets the definition of a hydric soil;
3. Map unit components that are frequently ponded for long duration or very long duration during the growing season that: a. Based on the range of characteristics for the soil series, will at least in part meet one or more Field Indicators of Hydric Soils in the United States, or b. Show evidence that the soil meets the definition of a hydric soil; or
4. Map unit components that are frequently flooded for long duration or very long duration during the growing season that: a. Based on the range of characteristics for the soil series, will at least in part meet one or more Field Indicators of Hydric Soils in the United States, or b. Show evidence that the soils meet the definition of a hydric soil.

This layer contains data concerning the location and characteristics of contacts and faults within Frederick county. This geodatabase contains geologic data from Frederick County, Maryland. Data from several geologic quadrangles and two regional scale geologic maps were incorporated into the regional scale geologic feature classes in this geodatabase. Because of the scale of this map, some features were generalized slightly from the quad scale data. Additionally, some corrections were made for accuracy, such as edge matching to resolve "border faults". The source data for this map and geodatabase come from maps published by the Maryland Geological Survey from 2001 to the present, as well as one map published in cooperation with the United States Geological Survey. The source maps are Buckeystown (2001), Catoctin Furnace (2004), Frederick (2004), New Windsor (2004), Point of Rocks (2004), Walkersville (2004), Woodsboro (2004), Middletown (2005), Union Bridge (2006), Funkstown (2009), Keedysville, Shepherdstown, Charlestown, and Harpers Ferry (2009), Myersville and Smithsburg (2009), Hagerstown (2013), Mason and Dixon (2013), Clear Spring and Hedgesville (2014), Williamsport (2014), Blue Ridge Summit (2021, in review), Emmitsburg and Taneytown (2021, in review), all 1:24000 quadrangle scale, as well as portions of two regional maps: Geologic Map of Garrett, Allegany, and Western Washington Counties, Maryland (2013), and Geologic Map of the Frederick 30' x 60' Quadrangle, Maryland, Virginia, and West Virginia (USGS, 2007). The GIS data from the referenced maps were mosaiced in Arc Map, corrected for accuracy across quad boundaries, merged to form a continuous dataset and clipped to the extent of Frederick County. Feature level metadata are included, which contain field descriptions for each feature class. This is a small scale dataset, appropriate for 1:100,000 regional scale. Quad scale data are suggested for display or analysis that requires a larger scale. This dataset is prepared for compliance with the USGS GeMS database standard. Last Updated: 06/01/2022

This dataset contsin the raw fMRI data of a preregistered study. Dataset includes:

session pre 1. anat/ anatomical scans (T1-weighted images) for each subject 2. func/ whole-brain EPI data from all task runs (8x single task, 2x dual task, 1x resting state and 2x localizer task) 3. fmap/ fieldmaps with magnitude1, magnitude2 and phasediff

session post 2. func/ whole-brain EPI data from all task runs (8x single task, 2x dual task) 3. fmap/ fieldmaps with magnitude1, magnitude2 and phasediff

Please note, some participants did not complete the post session. We updated our consent form to get explicit permission to publish the individual data, although not all participants resigned the new version. Those participants are excluded here but part of the t-maps on neurovault (compare participants.tsv).

Tasks were always included either visual or/and auditory input and required either manual or/and vocal responses (visual+manual and auditory+vocal are modality compatible and visual+vocal and auditory+manual are modality incompatible). Tasks were presented as either single task, or dual task. Participants completed a practice intervention prior to session post in which one group worked for 80 minutes outside the scanner on modality incompatible dual-tasks, one on modality compatible dual-task and the third one paused for 80 min.

For exact tasks description and material and scripts, please see the preregistration: https://osf.io/whpz8

This layer contains data concerning the location and characteristics of unconsolidated Quaternary deposits within Washington county. This geodatabase contains geologic data from Washington County, Maryland. Data from several geologic quadrangles and two regional scale geologic maps were incorporated into the regional scale geologic feature classes in this geodatabase. Because of the scale of this map, some features were generalized slightly from the quad scale data. Additionally, some corrections were made for accuracy, such as edge matching to resolve "border faults". The source data for this map and geodatabase come from maps published by the Maryland Geological Survey from 2001 to the present, as well as one map published in cooperation with the United States Geological Survey. The source maps are Buckeystown (2001), Catoctin Furnace (2004), Frederick (2004), New Windsor (2004), Point of Rocks (2004), Walkersville (2004), Woodsboro (2004), Middletown (2005), Union Bridge (2006), Funkstown (2009), Keedysville, Shepherdstown, Charlestown, and Harpers Ferry (2009), Myersville and Smithsburg (2009), Hagerstown (2013), Mason and Dixon (2013), Clear Spring and Hedgesville (2014), Williamsport (2014), Blue Ridge Summit (2021, in review), Emmitsburg and Taneytown (2021, in review), all 1:24000 quadrangle scale, as well as portions of two regional maps: Geologic Map of Garrett, Allegany, and Western Washington Counties, Maryland (2013), and Geologic Map of the Frederick 30' x 60' Quadrangle, Maryland, Virginia, and West Virginia (USGS, 2007). The GIS data from the referenced maps were mosaiced in Arc Map, corrected for accuracy across quad boundaries, merged to form a continuous dataset and clipped to the extent of Washington County. Feature level metadata are included, which contain field descriptions for each feature class. This is a small scale dataset, appropriate for 1:100,000 regional scale. Quad scale data are suggested for display or analysis that requires a larger scale. This dataset is prepared for compliance with the USGS GeMS database standard. Last Updated: 06/01/2022

Wetlands are areas where water is present at or near the surface of the soil during at least part of the year. Wetlands provide habitat for many species of plants and animals that are adapted to living in wet habitats. Wetlands form characteristic soils, absorb pollutants and excess nutrients from aquatic systems, help buffer the effects of high flows, and recharge groundwater. Data on the distribution and type of wetland play an important role in land use planning and several federal and state laws require that wetlands be considered during the planning process.The National Wetlands Inventory (NWI) was designed to assist land managers in wetland conservation efforts. The NWI is managed by the US Fish and Wildlife Service.Dataset SummaryPhenomenon Mapped: WetlandsGeographic Extent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, American Samoa, and the Northern Mariana IslandsProjection: Web Mercator Auxiliary SphereVisible Scale: This layer preforms well between scales of 1:1,000,000 to 1:1,000. An imagery layer created from this dataset is also available which you can also use to quickly draw wetlands at smaller scales.Source: U.S. Fish and Wildlife ServiceUpdate Frequency: AnnualPublication Date: October 26, 2024This layer was created from the October 26, 2024 version of the NWI. The features were converted from multi-part to a single part using the Multipart To Singlepart tool. Features with more than 50,000 vertices were split with the Dice tool. The Repair Geometry tool was run on the features, using the OGC option.The layer is published with a related table that contains text fields created by Esri for use in the layer's pop-up. Fields in the table are:Popup Header - this field contains a text string that is used to create the header in the default pop-up System Text - this field contains a text string that is used to create the system description text in the default pop-upClass Text - this field contains a text string that is used to create the class description text in the default pop-upModifier Text - this field contains a text string that is used to create the modifier description text in the default pop-upSpecies Text - this field contains a text string that is used to create the species description text in the default pop-upCodes, names, and text fields were derived from the publication Classification of Wetlands and Deepwater Habitats of the United States.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full scale range. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for System Name = 'Palustrine' to create a map of palustrine wetlands only.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d mapUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

This dataset shows the location of the distribution of structure form lines for the Province of Saskatchewan. This dataset shows the structure form lines for the Province of Saskatchewan and is designed for the Resource Map of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

This layer contains data concerning field measurements of inclined bedding, structure features like fracture, cleavage, and other field measurements within Frederick county. This geodatabase contains geologic data from Frederick and County, Maryland. Data from several geologic quadrangles and two regional scale geologic maps were incorporated into the regional scale geologic feature classes in this geodatabase. Because of the scale of this map, some features were generalized slightly from the quad scale data. Additionally, some corrections were made for accuracy, such as edge matching to resolve "border faults". The source data for this map and geodatabase come from maps published by the Maryland Geological Survey from 2001 to the present, as well as one map published in cooperation with the United States Geological Survey. The source maps are Buckeystown (2001), Catoctin Furnace (2004), Frederick (2004), New Windsor (2004), Point of Rocks (2004), Walkersville (2004), Woodsboro (2004), Middletown (2005), Union Bridge (2006), Funkstown (2009), Keedysville, Shepherdstown, Charlestown, and Harpers Ferry (2009), Myersville and Smithsburg (2009), Hagerstown (2013), Mason and Dixon (2013), Clear Spring and Hedgesville (2014), Williamsport (2014), Blue Ridge Summit (2021, in review), Emmitsburg and Taneytown (2021, in review), all 1:24000 quadrangle scale, as well as portions of two regional maps: Geologic Map of Garrett, Allegany, and Western Washington Counties, Maryland (2013), and Geologic Map of the Frederick 30' x 60' Quadrangle, Maryland, Virginia, and West Virginia (USGS, 2007). The GIS data from the referenced maps were mosaiced in Arc Map, corrected for accuracy across quad boundaries, merged to form a continuous dataset and clipped to the extent of Frederick County. Feature level metadata are included, which contain field descriptions for each feature class. This is a small scale dataset, appropriate for 1:100,000 regional scale. Quad scale data are suggested for display or analysis that requires a larger scale. This dataset is prepared for compliance with the USGS GeMS database standard. Last Updated: 06/01/2022

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The digital version of the Atlas of Australian Soils was created by NRIC (National Resource Information Centre) in 1991 from scanned tracings of the published hardcopy maps (1 - 10), Northcote et al. (1960 - 1968).

The Atlas of Australian Soils (Northcote et al, 1960-68) was compiled by CSIRO in the 1960's to provide a consistent national description of Australia's soils. It comprises a series of ten maps and associated explanatory notes, compiled by K.H. Northcote and others. The maps were published at a scale of 1:2,000,000, but the original compilation was at scales from 1:250,000 to 1:500,000.

Mapped units in the Atlas are soil landscapes, usually comprising a number of soil types. The explanatory notes include descriptions of soils landscapes and component soils. Soil classification for the Atlas is based on the Factual Key.

The Factual Key (Northcote 1979) was the most widely used soil classification scheme prior to the Australian Soil Classification (Isbell 2002). It dates from 1960 and was essentially based on a set of about 500 profiles largely from south-eastern Australia. It is an hierarchical scheme with 5 levels, the most detailed of which is the principal profile form (PPF). Most of the keying attributes are physical soil characteristics, and can be determined in the field.

The "mapunit" code contained within the digital dataset represents and links to the soil landscapes described in the explanatory notes. (explanatoryNotes.txt).The dominant and top 5 soils (as PPF classes) listed within the explanatory notes have been estimated from the text and are also included with this dataset (muppf5.txt).

Additional work by various groups has added some value to the dataset by providing look up tables that link to some interpretations of the mapping units or dominant soil type (PPF). Some examples of this include:

1. McKenzie, N. J. and Hook, J. (1992). Interpretations of the Atlas of Australian Soils. Consulting Report to the Environmental Resources Information Network (ERIN). CSIRO Division of Soils Technical Report 94/1992.

2. McKenzie NJ, Jacquier DW, Ashton LJ and Cresswell HP (2000) Estimation of soil properties using the Atlas of Australian Soils. CSIRO Land and Water Technical Report 11/00, February 2000.

3. Ashton, L.J. and McKenzie, N.J. (2001) Conversion of the Atlas of Australian Soils to the Australian Soil Classification, CSIRO Land and Water (unpublished).

Dataset History

The Digital version of the Atlas of Australian Soils was constructed from scanned tracings of the published hardcopy source maps, the thirteen sheets of the Atlas of Australian Soils. Use of the hard copies was necessary as the original printer's separates could not be located. The positional errors inherent in the original source maps would have been added and errors introduced by subsequent processes, beginning with the natural process of paper stretch. This was followed by the data processing steps which were, in order of execution: tracing, manual digitizing, transformation of coordinates and rubber sheeting to edge-match the digital versions of the adjacent sheets.

Dataset Citation

Bureau of Rural Sciences (2009) Digital Atlas of Australian Soils. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/9e7d2f5b-ff51-4f0f-898a-a55be8837828.

A collection of seventy-eight maps covering thirteen National Grid 1:10 560 map sheets in the area of the Lothian oil shale field published between 1977 and 1982. Each map shows the extent of a single oil shale seam. An oil shale seam refers to a layer or deposit of sedimentary rock rich in organic material known as kerogen, which has the potential to yield hydrocarbons such as oil and gas through a process called pyrolysis. Oil shale is different from conventional oil and gas reservoirs in that the hydrocarbons are not present in a liquid or gaseous form but are trapped within the solid structure of the shale rock. The maps were published by the Institute of the Geological Sciences in Edinburgh (previous name for the British Geological Survey). This entry relates to hardcopy maps stored in the National Geological Data Centre (NGDC) and digital files produced by scanning them, as well as any derivative files. These maps are hard-copy paper records stored in the National Geoscience Data Centre (NGDC).

This layer contains data concerning field measurements of inclined bedding, structure features like fracture, cleavage, and other field measurements within Washington county. This geodatabase contains geologic data from Washington County, Maryland. Data from several geologic quadrangles and two regional scale geologic maps were incorporated into the regional scale geologic feature classes in this geodatabase. Because of the scale of this map, some features were generalized slightly from the quad scale data. Additionally, some corrections were made for accuracy, such as edge matching to resolve "border faults". The source data for this map and geodatabase come from maps published by the Maryland Geological Survey from 2001 to the present, as well as one map published in cooperation with the United States Geological Survey. The source maps are Buckeystown (2001), Catoctin Furnace (2004), Frederick (2004), New Windsor (2004), Point of Rocks (2004), Walkersville (2004), Woodsboro (2004), Middletown (2005), Union Bridge (2006), Funkstown (2009), Keedysville, Shepherdstown, Charlestown, and Harpers Ferry (2009), Myersville and Smithsburg (2009), Hagerstown (2013), Mason and Dixon (2013), Clear Spring and Hedgesville (2014), Williamsport (2014), Blue Ridge Summit (2021, in review), Emmitsburg and Taneytown (2021, in review), all 1:24000 quadrangle scale, as well as portions of two regional maps: Geologic Map of Garrett, Allegany, and Western Washington Counties, Maryland (2013), and Geologic Map of the Frederick 30' x 60' Quadrangle, Maryland, Virginia, and West Virginia (USGS, 2007). The GIS data from the referenced maps were mosaiced in Arc Map, corrected for accuracy across quad boundaries, merged to form a continuous dataset and clipped to the extent of Washington County. Feature level metadata are included, which contain field descriptions for each feature class. This is a small scale dataset, appropriate for 1:100,000 regional scale. Quad scale data are suggested for display or analysis that requires a larger scale. This dataset is prepared for compliance with the USGS GeMS database standard. Last Updated: 06/01/2022

AbstractThis dataset is one of several datasets generated from a collaborative project between Geoscience Australia and the Department of Climate Change and Energy Efficiency (DCCEE) in a national programme of work that focused on an assessment of the vulnerability of Australia’s coastline to the impacts of sea level rise. These datasets map the coastal landform types of the Australian coastal zone according to a nationally consistent coastal geomorphology classification scheme developed at Geoscience Australia.These datasets were compiled from the available polygon geomorphology/geology digital maps and datasets from local, state and federal government agencies. These source datasets were then reclassified with the nationally consistent coastal geomorphology classification scheme to generate digital maps of geomorphology and landform types of the Australian coastal zone.CurrencyDate Modified: 08 April 2019Modification Frequency: As neededData ExtentCoordinate Reference: WGS84Spatial ExtentNorth: -9°South: -44°East: 154°West: 112°Source informationeCAT record: https://pid.geoscience.gov.au/service/ga/103420PDF and Document download: https://pid.geoscience.gov.au/dataset/ga/74294Geodatabase download: https://pid.geoscience.gov.au/dataset/ga/71333For further information about these datasets, please refer to the following two reports:Hazelwood, M., Nicholas, W. A. & Woolf, M., 2013. National Coastal Geomorphology Information Framework Implementation: Discovery and Distribution. Record 2013/35. Geoscience Australia: Canberra. https://d28rz98at9flks.cloudfront.net/74294/Rec2013_035.pdfGriffin, C., Skene, D., Hazelwood, M., Nicholas, W. and Xu. J. 2010. A Nationally Consistent Geomorphic Map and Classification of the Australian Coastal Zone. Professional Opinion 2010/06. https://d28rz98at9flks.cloudfront.net/71333/71333.pdfLineage statementThis layer is reclassified from the following datasets: Bedrock Geology - Comprehensive Coastal Assessment Toolkit 1:250,000 (DoP NSW), 1:250,000 Geological Map Series (DPI NSW), 1:250,000 Geology Sheets (DoR- PIFR NT), Geoscience Australia 1:250,000 Geology Sheets (GA), 1:250,000 Digital Geology Polygons (DIER TAS), VIC geological polygons (GEOL250) (DPI VIC), 1:250,000 Geological Maps (DMP WA), 1:250,000 Geological Maps (GA). In the geodatabase structure there was no attempt to create a single scale product by re-sampling or interpolating between scales. This was to ensure that users of the National Coastal Geomorphology data did not utilise data at inappropriate scales, while retaining the maximum amount of information where it existed. Data dictionary

Attribute name Description

OBJECTIDUnique IDUnitnoUnique unit number identifier (equivalent of STRATNO). Primary key link to other related tablesProjectProject nameMapSymbolA text identifier for the map unit (eg, CHer1)PlotSymbolA field to allow a broader grouping of mapsymbol. ie, to plot data based on broader groupings. (eg, CH)SubstrateSubstrate type (hard or soft)PrimaryEnvironmentCoastal depositional system which identifies the processes acting on a geomorphic featurePrimaryLandformTypeCoastal geomorphic feature which identifies the environment (form) from which potential stability (i.e. to erosion, slumping) can be inferredPrimaryLandformSubtypeGeomorphic feature detail which adds further detail to the environment type, particularly with reference to dune stabilityEcosystemThe type of floral/faunal habitat or vegetationAgeNamed geological age of the regolith landform unit. (eg, Holocene, Pleistocene, Eocene, etc)LandformSummaryFree text description of the landform of the unitRegolithSummaryFree text description of the regolith materials of the unitEcosystemSummaryFree text description of the vegetation or habitat of the unitSoilSummaryFree text description of the soil character of the unitReliefFree text description of relief character of the primary landformStructuralControlBasement geological control of the primary landform, if anyMinimumElevationMinimum elevation expressed in metres above sea level. Negative numbers for below sea levelMaximumElevationMaximum elevation expressed in metres above sea level. Negative numbers for below sea levelMinRegolithThicknessA general indication of the minimum thickness (in metres) of the regolithMaxRegolithThicknessA general indication of the maximum thickness (in metres) of the regolithSourceDataDescription of the source of the data. eg, a field survey in 2007, a citation, another agencyCaptureScaleThe scale at which the data was captured or interpreted. This scale may or may not be different from the scale at which the data is intended to be used.CaptureDateDate that the data was capturedModifiedDateDate that the data was subsequently modifiedInterpMethodInterpretation method, eg, field mapping, synthesis of published data, geophysics, etc. Can use "unknown"ConfidenceLevel of confidence in the attribute interpretation. eg, High, medium, low. Can use "unknown"LocationalQualityA text description of the spatial accuracy of the linear feature. eg, accurate, approximate, etc. Can use "unknown"LocationalAccuracyEstimated spatial accuracy of the linear feature, in metresScaleFlagThe denominator of the scale at which the data is designed to be used.ContactOceans, Reefs, Coasts and the Antarctic (ORCA), Geoscience Australia. clientservices@ga.gov.au

This layer contains data concerning the location and characteristics of contacts and faults within Washington county. This geodatabase contains geologic data from Washington County, Maryland. Data from several geologic quadrangles and two regional scale geologic maps were incorporated into the regional scale geologic feature classes in this geodatabase. Because of the scale of this map, some features were generalized slightly from the quad scale data. Additionally, some corrections were made for accuracy, such as edge matching to resolve "border faults". The source data for this map and geodatabase come from maps published by the Maryland Geological Survey from 2001 to the present, as well as one map published in cooperation with the United States Geological Survey. The source maps are Buckeystown (2001), Catoctin Furnace (2004), Frederick (2004), New Windsor (2004), Point of Rocks (2004), Walkersville (2004), Woodsboro (2004), Middletown (2005), Union Bridge (2006), Funkstown (2009), Keedysville, Shepherdstown, Charlestown, and Harpers Ferry (2009), Myersville and Smithsburg (2009), Hagerstown (2013), Mason and Dixon (2013), Clear Spring and Hedgesville (2014), Williamsport (2014), Blue Ridge Summit (2021, in review), Emmitsburg and Taneytown (2021, in review), all 1:24000 quadrangle scale, as well as portions of two regional maps: Geologic Map of Garrett, Allegany, and Western Washington Counties, Maryland (2013), and Geologic Map of the Frederick 30' x 60' Quadrangle, Maryland, Virginia, and West Virginia (USGS, 2007). The GIS data from the referenced maps were mosaiced in Arc Map, corrected for accuracy across quad boundaries, merged to form a continuous dataset and clipped to the extent of Washington County. Feature level metadata are included, which contain field descriptions for each feature class. This is a small scale dataset, appropriate for 1:100,000 regional scale. Quad scale data are suggested for display or analysis that requires a larger scale. This dataset is prepared for compliance with the USGS GeMS database standard. Last Updated: 06/01/2022

AbstractThis dataset is one of several datasets generated from a collaborative project between Geoscience Australia and the Department of Climate Change and Energy Efficiency (DCCEE) in a national programme of work that focused on an assessment of the vulnerability of Australia’s coastline to the impacts of sea level rise. These datasets map the coastal landform types of the Australian coastal zone according to a nationally consistent coastal geomorphology classification scheme developed at Geoscience Australia.These datasets were compiled from the available polygon geomorphology/geology digital maps and datasets from local, state and federal government agencies. These source datasets were then reclassified with the nationally consistent coastal geomorphology classification scheme to generate digital maps of geomorphology and landform types of the Australian coastal zone.CurrencyDate Modified: 08 April 2019Modification Frequency: As neededData ExtentCoordinate Reference: WGS84Spatial ExtentNorth: -9°South: -44°East: 154°West: 112°Source informationeCAT record: https://pid.geoscience.gov.au/service/ga/103420PDF and Document download: https://pid.geoscience.gov.au/dataset/ga/74294Geodatabase download: https://pid.geoscience.gov.au/dataset/ga/71333For further information about these datasets, please refer to the following two reports:Hazelwood, M., Nicholas, W. A. & Woolf, M., 2013. National Coastal Geomorphology Information Framework Implementation: Discovery and Distribution. Record 2013/35. Geoscience Australia: Canberra. https://d28rz98at9flks.cloudfront.net/74294/Rec2013_035.pdfGriffin, C., Skene, D., Hazelwood, M., Nicholas, W. and Xu. J. 2010. A Nationally Consistent Geomorphic Map and Classification of the Australian Coastal Zone. Professional Opinion 2010/06. https://d28rz98at9flks.cloudfront.net/71333/71333.pdfLineage statementThis layer is reclassified from the following datasets: 1:100,000 Geological Map Series (DPI NSW), Extractive Geology of the Outer Darwin Area (DoR – PIFR NT), QLD Geological Mapping Data 1:100,000 Sheet areas (DME QLD), QLD Geological Mapping Data Regional Sheet areas (DME QLD), Detailed Surface Geology (DENR SA), VIC geological polygons (GEOL100) (DPI VIC), 1:100,000 Geological Maps (DMP WA). In the geodatabase structure there was no attempt to create a single scale product by re-sampling or interpolating between scales. This was to ensure that users of the National Coastal Geomorphology data did not utilise data at inappropriate scales, while retaining the maximum amount of information where it existed. Data dictionary

Attribute name Description

OBJECTIDUnique IDUnitnoUnique unit number identifier (equivalent of STRATNO). Primary key link to other related tablesProjectProject nameMapSymbolA text identifier for the map unit (eg, CHer1)PlotSymbolA field to allow a broader grouping of mapsymbol. ie, to plot data based on broader groupings. (eg, CH)SubstrateSubstrate type (hard or soft)PrimaryEnvironmentCoastal depositional system which identifies the processes acting on a geomorphic featurePrimaryLandformTypeCoastal geomorphic feature which identifies the environment (form) from which potential stability (i.e. to erosion, slumping) can be inferredPrimaryLandformSubtypeGeomorphic feature detail which adds further detail to the environment type, particularly with reference to dune stabilityEcosystemThe type of floral/faunal habitat or vegetationAgeNamed geological age of the regolith landform unit. (eg, Holocene, Pleistocene, Eocene, etc)LandformSummaryFree text description of the landform of the unitRegolithSummaryFree text description of the regolith materials of the unitEcosystemSummaryFree text description of the vegetation or habitat of the unitSoilSummaryFree text description of the soil character of the unitReliefFree text description of relief character of the primary landformStructuralControlBasement geological control of the primary landform, if anyMinimumElevationMinimum elevation expressed in metres above sea level. Negative numbers for below sea levelMaximumElevationMaximum elevation expressed in metres above sea level. Negative numbers for below sea levelMinRegolithThicknessA general indication of the minimum thickness (in metres) of the regolithMaxRegolithThicknessA general indication of the maximum thickness (in metres) of the regolithSourceDataDescription of the source of the data. eg, a field survey in 2007, a citation, another agencyCaptureScaleThe scale at which the data was captured or interpreted. This scale may or may not be different from the scale at which the data is intended to be used.CaptureDateDate that the data was capturedModifiedDateDate that the data was subsequently modifiedInterpMethodInterpretation method, eg, field mapping, synthesis of published data, geophysics, etc. Can use "unknown"ConfidenceLevel of confidence in the attribute interpretation. eg, High, medium, low. Can use "unknown"LocationalQualityA text description of the spatial accuracy of the linear feature. eg, accurate, approximate, etc. Can use "unknown"LocationalAccuracyEstimated spatial accuracy of the linear feature, in metresScaleFlagThe denominator of the scale at which the data is designed to be used.ContactOceans, Reefs, Coasts and the Antarctic (ORCA), Geoscience Australia. clientservices@ga.gov.au

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple the Queensland geology and structural framework dataset. The source dataset is 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 a polygon shapefile of the Belyando Basin province boundary. The Belyando Basin underlies the eastern margin of the Galilee subregion. Extracted from the QLD Geology and Structural Framework of 2012 - the abstract of which is below.

The data on this DVD contains the converted shapefiles, layer files, raster images and project .mxd files used on the Queensland geology and structural framework map. The maps were done in ArcGIS 9.3.1 and the data stored in file geodatabases, topology created and validated. This provides greater data quality by performing topological validation on the feature's spatial relationships. For the purposes of the DVD, shapefiles were created from the file geodatabases and for MapInfo users MapInfo .tab and .wor files. The shapefiles on the DVD are a revision of the 1975 Queensland geology data, and are both are available for display, query and download on the department's online GIS application.

The Queensland geology map is a digital representation of the distribution or extent of geological units within Queensland. In the GIS, polygons have a range of attributes including unit name, type of unit, age, lithological description, dominant rock type, and an abbreviated symbol for use in labelling the polygons. The lines in this dataset are a digital representation of the position of the boundaries of geological units and other linear features such as faults and folds. The lines are attributed with a description of the type of line represented. Approximately 2000 rock units were grouped into the 250 map units in this data set. The digital data was generalised and simplified from the Department's detailed geological data and was captured at 1:500 000 scale for output at 1:2 000 000 scale.

The geological framework of Queensland is classified by structural or tectonic unit (provinces and basins) in which the rocks formed. These are referred to as basins (or in some cases troughs and depressions) where the original form and structure are still apparent. Provinces (and subprovinces) are generally older basins that have been strongly tectonised and/or metamorphosed so that the original basin extent and form are no longer preserved. Note that intrusive and some related volcanic rocks that overlap these provinces and basins have not been included in this classification. The map was compiled using boundaries modified and generalised from the 1:2 000 000 Queensland Geology map (2012). Outlines of subsurface basins are also shown and these are based on data and published interpretations from petroleum exploration and geophysical surveys (seismic, gravity and magnetics).

For the structural framework dataset, two versions are provided. In QLD_STRUCTURAL_FRAMEWORK, polygons are tagged with the name of the surface structural unit, and names of underlying units are imbedded in a text string in the HIERARCHY field. In QLD_STRUCTURAL_FRAMEWORK_MULTI_POLYS, the data is structured into a series of overlapping, multi-part polygons, one for each structural unit. Two layer files are provided with the ESRI data, one where units are symbolised by name. Because the dataset has been designed for units display in the order of superposition, this layer file assigns colours to the units that occur at the surface with concealed units being left uncoloured. Another layer file symbolises them by the orogen of which they are part. A similar set of palettes has been provided for Map Info.

Purpose

This dataset provides a single, merged representation of the Belyando Basin as interpreted by the QLD Geology and Structural Framework of 2012

Dataset History

This dataset has been extracted directly from the QLD Geology and Structural Framework: QLD_STRUCTURAL_FRAMEWORK.shp.

1. Features with the following 'Heirarchy' attributes were selected and extracted:

a) Galilee Basin>Drummond Basin>Belyando Basin>Thomson Orogen

b) Eromanga Basin>Galilee Basin>Drummond Basin>Belyando Basin>Thomson Orogen

c) Drummond Basin>Belyando Basin>Thomson Orogen

d) Galilee Basin>Drummond Basin>Belyando Basin>Thomson Orogen

1. Features were merged together to produce the Belyando Basin province.

The lineage of the QLD Geology and Structural Framework is below:

Data in this release

*ESRI.shp and MapInfo .tab files of rock unit polygons and lines with associated layer attributes of Queensland geology

*ESRI.shp and MapInfo .tab files of structural unit polygons and lines with associated layer attributes of structural framework

*ArcMap .mxd and .lyr files and MapInfo .wor files containing symbology

*Georeferenced Queensland geology map, gravity and magnetic images

*Queensland geology map, structural framework and schematic diagram PDF files

*Data supplied in geographical coordinates (latitude/longitude) based on Geocentric Datum of Australia - GDA94

Accessing the data

Programs exist for the viewing and manipulation of the digital spatial data contained on this DVD. Accessing the digital datasets will require GIS software. The following GIS viewers can be downloaded from the internet. ESRI ArcExplorer can be found by a search of www.esriaustralia.com.au and MapInfo ProViewer by a search on www.pbinsight.com.au collectively ("the websites").

Metadata

Metadata is contained in .htm files placed in the root folder of each vector data folder. For ArcMap users metadata for viewing in ArcCatalog is held in an .xml file with each shapefile within the ESRI Shapefile folders.

Disclaimer

The State of Queensland is not responsible for the privacy practices or the content of the websites and makes no statements, representations, or warranties about the content or accuracy or completeness of, any information or products contained on the websites.

Despite our best efforts, the State of Queensland makes no warranties that the information or products available on the websites are free from infection by computer viruses or other contamination.

The State of Queensland disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages and costs you might incur as a result of accessing the websites or using the products available on the websites in any way, and for any reason.

The State of Queensland has included the websites in this document as an information source only. The State of Queensland does not promote or endorse the websites or the programs contained on them in any way.

WARNING: The Queensland Government and the Department of Natural Resources and Mines accept no liability for and give no undertakings, guarantees or warranties concerning the accuracy, completeness or fitness for the purposes of the information provided. The consumer must take all responsible steps to protect the data from unauthorised use, reproduction, distribution or publication by other parties.

Dataset Citation

Bioregional Assessment Programme (XXXX) Belyando Basin Boundary - QLD Structural Framework. Bioregional Assessment Derived Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/4add856a-eb40-4bb2-bd41-f89788884782.

Dataset Ancestors

• Derived From Queensland geology and structural framework - GIS data July 2012

[This metadata record has been superseded, see http://data.bgs.ac.uk/id/dataHolding/13480158] The map shows the location and names of boreholes with digital geophysical logs acquired by the former National Coal Board and British Coal during their exploration for coal in the UK. Ownership of UK coal exploration data was transferred to the Coal Authority (Coal Authority) following privatisation of the UK coal industry. The Coal Authority have appointed the British Geological Survey as custodian of this important national geological data archive. These data are in general publicly available; however, access to data within active mining licences is restricted in that it requires the consent of the mining licensee. The Coal Authority data archive includes digital data for some of the geophysical borehole logging. These are mainly in the form of original field tapes; however, also available are some data transcribed onto more modern media during BGS projects. The BGS will be pleased to provide information on data availability for named boreholes or within specified geographic areas, together with cost estimates and options for supplying copies.

The World Heritage Site Project has drawn together existing information about known mine sites within Cornwall and west Devon. This information has come from a number of sources including the Cornwall and Isles of Scilly Historic Environment Record (CCC HER), the Devon Sites and Monument Record (Devon SMR), Cornwall Consultants and Ordnance Survey historic maps. This dataset forms a preliminary list of known sites and is understood to be incomplete and therefore should not be taken as an accurate representation of the extent of mine workings on the ground. Many sites require further assessment and survey in the field to verify and expand on the very basic and indicative information recorded. An example of a mine record is explained below: PRN (CORNWALL) SITE NAME SITE TYPE FORM EPOCH PERIOD MRO INDEX SOURCE CIVIL PARISH PRN (DEVON) TIN COPPER ARSENIC LEAD SILVER IRON SULPHUR ZINC TUNGSTEN MANGANESE ANTIMONY OTHERS X COORD Y COORD 42729 LEVANT MINE EXTANT Modern 20 MRO/R21, 10904 CC-A1 ST. JUST CP 0 2.2 1.1 3.3 0 4 0 0 0 0 0 0 Au 137100 3460 PRN (Cornwall): Primary Record Number of the site in Cornwall & Scilly HER where more information can be found. Site Name: Mine name. Site type: Mine (to differentiate between trials, openworks etc) Form: Broad condition of the site. eg. extant, site of, or documentary reference to mine site. Epoch: Broad period of mine site where specific date is unknown eg. PM refers to Post-Medieval (as recorded in CCC HER) Period: Specific period of mine site eg. 19 refers to 19th century, 20 to 20th century etc. MRO Index: Mining Record Index number or code of mine plan as held by County Records Office. Source: Source from which site has been identified. Civil Parish: Local civil parish within which the site falls. PRN (Devon): Primary Record Number of the site as held in the Devon SMR where more information can be found. After Dines, 1956. The Metalliferous Mining Region of South West England, Vol.1, p.33 - 57. In the following attribute fields the ores are shown as far as possible in their order of importance at each mine, that indicated by figure 1 in the columns being the chief mineral produced and so on. In cases where the output is large the figure is recorded with a decimal (for example a mine with Copper output recorded as 1.1 had a higher output than 1, likewise 2.2 higher than 2 etc. This replaces Dines' original bold type coding). The tonnage figure above which an output qualifies for the heavier type is a purely arbitrary one and is based on the general level of outputs from west of England mines. Tin: Decimal values record economic output >1,000 tonnes. In the instance above tin is the secondary ore produced but with a high yield >1,000 tonnes, thus the value 2.2. If the value was instead 2 then this would still be a secondary ore but with an output 5,000 tonnes. In the instance above copper is the primary ore produced with a high yield >5,000 tonnes. Arsenic: Decimal values record economic output >2,000 tonnes. In the instance above arsenic is the tertiary ore produced with a high yield >2,000 tonnes. Lead: Decimal values record economic output >2,000 tonnes. In the instance above lead is the quaternary ore produced with a yield of 100,000oz. Iron: Decimal values record economic output >2,000 tonnes. Sulphur: Decimal values record economic output >500 tonnes. Zinc: Decimal values record economic output >750 tonnes. Tungsten: n/a Manganese: n/a Antimony: n/a Others: Minerals which area rare or which have been produced only in small amounts are given by symbols thus: Gold - Au, cobalt - Co, Nickel - Ni, Bismuth - Bi, Molybdenum - Mo, Antimony - Sb, Uranium - U, Fluorspar - F, Barytes - Ba, Ochre - Oc, Umber - Um, Fuller' Earth - Ful.