The Resident Characteristics Report summarizes general information about households who reside in Public Housing, or who receive Section 8 assistance. The report provides aggregate demographic and income information that allows for an analysis of the scope and effectiveness of housing agency operations. The data used to create the report is updated once a month from IMS/PIC.

This dataset represents a water shortage vulnerability analysis performed by DWR using modified PLSS sections pulled from the Well Completion Report PLSS Section Summaries. The attribute table includes water shortage vulnerability indicators and scores from an analysis done by CA Department of Water Resources, joined to modified PLSS sections. Several relevant summary statistics from the Well Completion Reports are included in this table as well. This data is from the 2024 analysis.

Water Code Division 6 Part 2.55 Section 8 Chapter 10 (Assembly Bill 1668) effectively requires California Department of Water Resources (DWR), in consultation with other agencies and an advisory group, to identify small water suppliers and “rural communities” that are at risk of drought and water shortage. Following legislation passed in 2021 and signed by Governor Gavin Newsom, the Water Code Division 6, Section 10609.50 through 10609.80 (Senate Bill 552 of 2021) effectively requires the California Department of Water Resources to update the scoring and tool periodically in partnership with the State Water Board and other state agencies. This document describes the indicators, datasets, and methods used to construct this deliverable.  This is a statewide effort to systematically and holistically consider water shortage vulnerability statewide of rural communities, focusing on domestic wells and state small water systems serving between 4 and 14 connections. The indicators and scoring methodology will be revised as better data become available and stake-holders evaluate the performance of the indicators, datasets used, and aggregation and ranking method used to aggregate and rank vulnerability scores. Additionally, the scoring system should be adaptive, meaning that our understanding of what contributes to risk and vulnerability of drought and water shortage may evolve. This understanding may especially be informed by experiences gained while navigating responses to future droughts.”

A spatial analysis was performed on the 2020 Census Block Groups, modified PLSS sections, and small water system service areas using a variety of input datasets related to drought vulnerability and water shortage risk and vulnerability. These indicator values were subsequently rescaled and summed for a final vulnerability score for the sections and small water system service areas. The 2020 Census Block Groups were joined with ACS data to represent the social vulnerability of communities, which is relevant to drought risk tolerance and resources. These three feature datasets contain the units of analysis (modified PLSS sections, block groups, small water systems service areas) with the model indicators for vulnerability in the attribute table. Model indicators are calculated for each unit of analysis according to the Vulnerability Scoring documents provided by Julia Ekstrom (Division of Regional Assistance).

All three feature classes are DWR analysis zones that are based off existing GIS datasets. The spatial data for the sections feature class is extracted from the Well Completion Reports PLSS sections to be aligned with the work and analysis that SGMA is doing. These are not true PLSS sections, but a version of the projected section lines in areas where there are gaps in PLSS. The spatial data for the Census block group feature class is downloaded from the Census. ACS (American Communities Survey) data is joined by block group, and statistics calculated by DWR have been added to the attribute table. The spatial data for the small water systems feature class was extracted from the State Water Resources Control Board (SWRCB) SABL dataset, using a definition query to filter for active water systems with 3000 connections or less. None of these datasets are intended to be the authoritative datasets for representing PLSS sections, Census block groups, or water service areas. The spatial data of these feature classes is used as units of analysis for the spatial analysis performed by DWR.

These datasets are intended to be authoritative datasets of the scoring tools required from DWR according to Senate Bill 552. Please refer to the Drought and Water Shortage Vulnerability Scoring: California's Domestic Wells and State Smalls Systems documentation for more information on indicators and scoring. These estimated indicator scores may sometimes be calculated in several different ways, or may have been calculated from data that has since be updated. Counts of domestic wells may be calculated in different ways. In order to align with DWR SGMO's (State Groundwater Management Office) California Groundwater Live dashboards, domestic wells were calculated using the same query. This includes all domestic wells in the Well Completion Reports dataset that are completed after 12/31/1976, and have a 'RecordType' of 'WellCompletion/New/Production or Monitoring/NA'.

Please refer to the Well Completion Reports metadata for more information. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.4, dated September 14, 2022. DWR makes no warranties or guarantees — either expressed or implied— as to the completeness, accuracy, or correctness of the data.

DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.

The Geodatabase to Shapefile Warning Tool examines feature classes in input file geodatabases for characteristics and data that would be lost or altered if it were transformed into a shapefile. Checks include:
1) large files (feature classes with more than 255 fields or over 2GB), 2) field names longer than 10 characters
string fields longer than 254 characters, 3) date fields with time values 4) NULL values, 5) BLOB, guid, global id, and raster field types, 6) attribute domains or subtypes, and 7) annotation or topology

The results of this inspection are written to a text file ("warning_report_[geodatabase_name]") in the directory where the geodatabase is located. A section at the top provides a list of feature classes and information about the geodatabase as a whole. The report has a section for each valid feature class that returned a warning, with a summary of possible warnings and then more details about issues found.

The tool can process multiple file geodatabases at once. A separate text file report will be created for each geodatabase. The toolbox was created using ArcGIS Pro 3.7.11.

For more information about this and other related tools, explore the Geospatial Data Curation toolkit

This feature class represents an index of records from the California Department of Water Resources' (DWR) Online System for Well Completion Reports (OSWCR). This feature class is for informational purposes only. All attribute values should be verified by reviewing the original Well Completion Report. Known issues include: - Missing and duplicate records - Missing values (either missing on original Well Completion Report, or not key entered into database) - Incorrect values (e.g. incorrect Latitude, Longitude, Record Type, Planned Use, Total Completed Depth) - Limited spatial resolution: The majority of well completion reports have been spatially registered to the center of the 1x1 mile Public Land Survey System section that the well is located in.

Geostrat Report – The Sequence Stratigraphy and Sandstone Play Fairways of the Late Jurassic Humber Group of the UK Central Graben

This non-exclusive report was purchased by the OGA from Geostrat as part of the Data Purchase tender process (TRN097012017) that was carried out during Q1 2017. The contents do not necessarily reflect the technical view of the OGA but the report is being published in the interests of making additional sources of data and interpretation available for use by the wider industry and academic communities.

The Geostrat report provides stratigraphic analyses and interpretations of data from the Late Jurassic to Early Cretaceous Humber Group across the UK Central Graben and includes a series of depositional sequence maps for eight stratigraphic intervals. Stratigraphic interpretations and tops from 189 wells (up to Release 91) are also included in the report.

The outputs as published here include a full PDF report, ODM/IC .dat format sequence maps, and all stratigraphic tops (lithostratigraphy, ages, sequence stratigraphy) in .csv format (for import into different interpretation platforms).

In addition, the OGA has undertaken to provide the well tops, stratigraphic interpretations and sequence maps in an ESRI ArcGIS format that is intended to facilitate the integration of these data into projects and data storage systems held by individual organisations. As part of this process, the Geostrat well names have been matched as far as possible to the OGA well names from the OGA Offshore Wells shapefile (as provided on the OGA’s Open Data website) and the original polygon files have been incorporated into an ArcGIS project. All the files within the GIS folder of this delivery have been created by the OGA. OGA web feature services (WFSs) have been included in the map document in this delivery. They replace the use of a shapefile or feature class to represent block, licence and quadrant data. By using a WFS, the data is automatically updated when it becomes available via the OGA.

A version of this delivery containing shapefiles for well tops, stratigraphic interpretations and sequence maps is available on the OGA’s Open Data website for use in other GIS software packages.

All releases included in the Data Purchase tender process that have been made openly available are summarised in a mapping application available from the OGA website. The application includes an area of interest outline for each of the products and an overview of which wellbores have been included in the products.

Data from: American Community Survey, 5-year Series 2006-2010Community Reporting Area boundaries with American Community Survey data and attachments of census reports. Community Reporting Areas (CRAs) were established in 2004 as a standard, consistent, citywide geography for reporting purposes. There are 53 CRAs composed of from one to six census tracts.Neighborhood aggregations of American Community Survey tract-based data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05). The geo service includes over 50 attributes of the most frequently requested data.Also includes custom reports in pdf format as attachments to each neighborhood.Please see the item page for the source map service for more information.When downloading the data, please select "GDB Download" under "Additional Resources" to preserve long field names and attachments. The associated file geodatabase contains a separate feature class for three levels of neighborhood geography - council districts, community reporting areas, and urban village demographic areas that includes these 50+ attributes.

Click Here for Metadata.The WRC_Poly feature class represents polygon features at the subwatershed level for the Forest Condition and Surface Water Quality Watershed Report Card indicator categories. The primary purpose of the feature class is to capture the assigned indicator grades from participating CAs in order to facilitate a standardized cartographic representation at the provincial level.General comments: Forest Cover was calculated using the ELC 2021, developed using 2021 orthophoto imagery including landscape updates from 2017 and 2019. Forest cover scores were calculated by using a combined score of % forest cover, % forest interior and % of riparian buffer that is forested. ELC categories used to categorize forest cover included those with the community classification of:Treed BogCultural WoodlandDeciduous ForestConiferous ForestMixed ForestDeciduous SwampConiferous SwampMixed SwampPlantation

The global feature toggles software market is estimated to be valued at USD XXX million in 2025 and is projected to grow at a CAGR of XX% from 2025 to 2033. Increasing demand for remote work and continuous delivery, along with the rising adoption of cloud-based solutions, are key drivers of market growth. Growing focus on agility and rapid innovation is also contributing to the market's expansion. The segment for applications is segmented by government, retail and eCommerce, healthcare and life sciences, BFSI, transportation and logistics, telecom and IT, manufacturing, and others. In terms of geography, North America is expected to hold a significant market share due to the presence of major technology companies and early adoption of cutting-edge technologies. Asia Pacific is projected to exhibit substantial growth during the forecast period owing to rising investments in digital infrastructure and a burgeoning tech industry. Key market players include LaunchDarkly, Optimizely, CloudBees, Apptimize, ConfigCat.com, Split, Airship Technologies, Bullet Train, Taplytics, and Wingify.

Merged product weight fraction and chemical function data. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 3: 723-732, (2016).

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.

Geofabric Hydrology Reporting Catchments comprises two related views of hydrological catchments to be used for analysis and reporting purposes. Firstly, a topological network view of hydrological catchments represented as a simplified node-link network using a subset of the contracted nodes (AHGFNode) and the links (AHGFLink) between them; and secondly, a catchments view of the hydrology using the contracted catchments (AHGFContractedCatchment). The AHGFNode feature class contains contracted nodes that are points of hydrological significance that carry identity. They include the confluence of major named streams, coastal stream termini, waterbody inflow and outflows and inland sinks. It also contains a new class of node called diffuse nodes that represent diffused flow from groups of nodes at coastal, delta or inter-catchment outlets. The AHGFLink feature class provides the topological connectors between a subset of contracted nodes that participate in the simplified node-link network. The AHGFContractedCatchment feature class contains catchment polygons (that are aggregations of AHGFCatchments) for the subset of contracted nodes that participate in the simplified node link network. These catchments are part of a hierarchy that can be aggregated based on upstream relationships. This product contains five feature types including: Node, Link, Contracted Catchment, Node-Link Connectivity (upstream), and Node-Link Connectivity (downstream).

Purpose

Geofabric Hydrology Reporting Catchments is designed to meet two specific use cases. Firstly, the contracted catchments are designed to build stable reporting regions and secondly, the simplified node-link network is designed to be used as input to hydrological modelling environments, to identify nodes, reporting reaches and their associated catchments.

The AHGFContractedCatchment feature class is designed to represent geographic surface boundaries that have a hydrological relationship to surface water features. These catchment boundaries in their current form may not completely satisfy legislative or business requirements, but are intended to provide the building blocks for reporting regions such as those given in Geofabric Hydrology Reporting Regions. The AHGFNode and AHGFLink feature classes provide a simplified, dendritic node link network for input into hydrological models.

Dataset History

Geofabric Hydrology Reporting Catchments is part of a suite of Geofabric products produced by the Australian Bureau of Meteorology. The geometry of this product is derived from the Geofabric Surface Network product. It consists of AHGF Node, AHGF Link and AHGF Contracted Catchments as well as AHGF Node-Link Connectivity tables for both upstream and downstream network tracing. The outflow point for each AHGF Contracted Catchment is based on a Contracted Node and the boundaries of the underlying AHGF Catchments. The feature class terminology for Geofabric Hydrology Reporting Catchments components has been modified to distinguish it in terms of the products underlying data model.

The AHGFContractedCatchments are aggregations of the 9 second catchments that participate in a relationship of common areal extent, based upon the location of a Contracted Node from both the Geofabric Surface Cartography and Geofabric Surface Network products. The types of contracted nodes and the levels of contracted confidence are further described in the Geofabric Product Guide.

Processing steps:

1. re-composited feature classes in the Geofabric Maintenance Geodatabase Feature Dataset are assigned unique Hydro-IDs using ESRI ArcHydro for Surface Water (ArcHydro: 1.4.0.180 and ApFramework: 3.1.0.84)

2. feature classes from the Geofabric Maintenance Geodatabase Feature Dataset are extracted and reassigned to the Geofabric Hydrology Reporting Catchments Feature Dataset within the Geofabric Hydrology Reporting Catchments Geodatabase.

A complete set of data mappings, from input source data to Geofabric Products, is included in the Geofabric Product Guide, Appendices.

Dataset Citation

Bureau of Meteorology (2011) Geofabric Hydrology Reporting Catchments - V2.1. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/ce066e36-49ad-4f77-b505-b1d2a4fe9c6a.

This file geodatabase contains feature classes that are the geospatial representations of areas and features described in the "Preliminary Alternatives Report" for the Eastern Colorado Resource Management Plan. The feature classes are grouped into the following feature datasets: Boundaries, Designations, Lands, Lands for Disposal, Fluid Mineral Restrictions, Solid Mineral Restrictions; other use restrictions including Target Shooting, Livestock Grazing, Rights-of-Way, Renewable Energy Development; and Visual Resources Management. The critera used to create many of the datasets for the various types of use restrictions are described in the Preliminary Alternatives Report document.

This map contains continuously updated U.S. tornado reports, wind storm reports and hail storm reports. Click each feature to receive information about the specific location and read a short description about the issue.Now contains ALL available Incident Report types, for a total of 15, not just Hail; Wind; and Tornados.See new layer for details or Feature Layer Item with exclusive Past 24-Hour ALL Storm Reports Layer.Each layer is updated 4 times hourly from data provided by NOAA’s National Weather Service Storm Prediction Center.A full archive of storm events can be accessed from the NOAA National Centers for Environmental Information.SourceNOAA Storm Prediction Center https://www.spc.noaa.gov/climo/reportsNOAA ALL Storm Reports layer https://www.spc.noaa.gov/exper/reportsSample DataSee Sample Layer Item for sample data during inactive periods!Update FrequencyThe service is updated every 15 minutes using the Aggregated Live Feeds MethodologyArea CoveredCONUS (Contiguous United States)What can you do with this layer?This map service is suitable for data discovery and visualization.Change the symbology of each layer using single or bi-variate smart mapping. For instance, use size or color to indicate the intensity of a tornado.Click each feature to receive information about the specific location and read a short description about the issue.Query the attributes to show only specific event types or locations.Revisions:Aug 10, 2021: Updated Classic Layers to use new Symbols. Corrected Layer Order Presentation. Updated Thumbnail.Aug 8, 2021: Update to layer-popups, correcting link URLs. Expanded length of 'Comment' fields to 1kb of text. New Layer added that includes ALL available Incident Types and Age in 'Hours Old'.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this service will update next, please visit our Live Feed Status Page.

🇬🇧 영국 English Geostrat Report – The Sequence Stratigraphy and Sandstone Play Fairways of the Late Jurassic Humber Group of the UK Central Graben This non-exclusive report was purchased by the OGA from Geostrat as part of the Data Purchase tender process (TRN097012017) that was carried out during Q1 2017. The contents do not necessarily reflect the technical view of the OGA but the report is being published in the interests of making additional sources of data and interpretation available for use by the wider industry and academic communities. The Geostrat report provides stratigraphic analyses and interpretations of data from the Late Jurassic to Early Cretaceous Humber Group across the UK Central Graben and includes a series of depositional sequence maps for eight stratigraphic intervals. Stratigraphic interpretations and tops from 189 wells (up to Release 91) are also included in the report. The outputs as published here include a full PDF report, ODM/IC .dat format sequence maps, and all stratigraphic tops (lithostratigraphy, ages, sequence stratigraphy) in .csv format (for import into different interpretation platforms). In addition, the OGA has undertaken to provide the well tops, stratigraphic interpretations and sequence maps in an ESRI ArcGIS format that is intended to facilitate the integration of these data into projects and data storage systems held by individual organisations. As part of this process, the Geostrat well names have been matched as far as possible to the OGA well names from the OGA Offshore Wells shapefile (as provided on the OGA’s Open Data website) and the original polygon files have been incorporated into an ArcGIS project. All the files within the GIS folder of this delivery have been created by the OGA. OGA web feature services (WFSs) have been included in the map document in this delivery. They replace the use of a shapefile or feature class to represent block, licence and quadrant data. By using a WFS, the data is automatically updated when it becomes available via the OGA. A version of this delivery containing shapefiles for well tops, stratigraphic interpretations and sequence maps is available on the OGA’s Open Data website for use in other GIS software packages. All releases included in the Data Purchase tender process that have been made openly available are summarised in a mapping application available from the OGA website. The application includes an area of interest outline for each of the products and an overview of which wellbores have been included in the products.

The global feature management software market is projected to grow from $561 million in 2025 to $980 million by 2033, exhibiting a CAGR of 7.7% during the forecast period (2025-2033). The market growth is primarily driven by the increasing need for continuous software delivery and the need for better control and management of feature releases. Additionally, the growing adoption of cloud-based solutions and the rise of agile development methodologies are contributing to the market growth. The market is segmented by type into cloud-based and on-premises. The cloud-based segment is expected to dominate the market during the forecast period due to its benefits such as scalability, flexibility, and cost-effectiveness. The market is also segmented by application into government, retail and logistics, healthcare and life sciences, BFSI, manufacturing, telecom and IT, and others. The government segment is expected to grow significantly during the forecast period due to the increasing investment in digital transformation initiatives. The healthcare and life sciences segment is also expected to witness substantial growth due to the need for improved patient care and operational efficiency.

More MetadataAbstract: The soil spot points, or map symbols layer is a subset of the soils map. Spot points are isolated areas within a symbol that are designated with a symbol because the extent is too small to separate into another mapping unit. These points or symbols include areas such as sinkholes, springs, stony areas, wet spots, etc.Purpose: As a subset of the soils information, the spot points layer should be used in conjunction with the other soils layers. Spot points show specific areas that require special interpretation and/or land use which differs from the surrounding map unit.Supplemental Information: Data are stored in the corporate ArcSDE Geodatabase as a point feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN (vertical datum, if applicable, NAVD88), US Survey foot units.Maintenance and Update Frequency: As neededCompleteness Report: Features may have been eliminated or generalized due to scale and intended use. To assist Loudoun County, Virginia in the maintenance of the data, please provide any information concerning discovered errors, omissions, or other discrepancies found in the data.Soil Point Features: SP = Unknown; BPI = Borrow pit; CLA = Clay spot; GRA = Gravely spot; MDL = Made Land; ROC = Rock; SAN = Sandy spot; SNK = Sink hole; SPR = Spring; SSS = Soil sample spot; STN = Stoney spot; TEC = Terrace capping; WET = Wet spotData Owner: Department of Building and Development

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 Geofabric Surface Network product provides a set of related feature classes to be used as the basis for production of consistent hydrological surface stream network analysis. This product contains a topographically consistent representation of the (major) surface water features of Australia (excluding external territories). Primarily, these are natural surface hydrology features but the product also contains some man-made features (notably reservoirs and other hydrographic features).

The Geofabric Surface Network product is based upon the input from ANUDEM Derived Streams V1.1.2 (ANUDEM Streams) which is the vectorised version of the nine second ANUDEM derived raster steams product. The product is related to, but distinct from, the stream network contained in the Geofabric Surface Cartography product. The network product represents the flow direction of streams over the surface of the terrain, based on the GEODATA Nine Second Digital Elevation Model (DEM-9S) Version 3. This product is more generalised than the Geofabric Surface Cartography and represents the main channels of the stream, particularly in areas where streams are heavily anabranched or disconnected.

In addition, the stream connectivity represents a stream flow over the terrain, regardless of the presence of a corresponding Geofabric Surface Cartography stream segment. This means that the Geofabric Surface Cartography product may represent a stream as an interrupted or intermittent feature, whereas this product represents the same stream as a continuous connected feature. That is, the path that a stream would take (according to the terrain model) if sufficient water were available for flow. This product is fully topologically correct which means that all the stream segments flow in the correct direction. It also has full connectivity based on the flow of water across a terrain model.

This product contains six feature types including: Waterbody, Network Stream, Network Node, Catchment, Network Connectivity (Upstream) and Network Connectivity (Downstream).

Purpose

This product contains a topographic representation of the (major) surface water features of 'geographic Australia' excluding external territories. It is intended to be used as the basis for production of consistent surface stream network analysis.

Geofabric Surface Network is intended to be used in stream flow tracing operations, using its full topological connection. The product can support the spatial selection of associated hydrological features as inputs for spatial analysis/modelling.

This product is intended to supplement the Geofabric Surface Cartography, Geofabric Surface Catchments and Geofabric Hydrology Reporting Catchments data products. This product is also used to support the definition of the Geofabric Surface Catchments and Geofabric Hydrology Reporting Catchments products and provides a spatial framework for analysis and assessment of streams and their catchments.

Dataset History

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

Lineage statement: Geofabric Surface Network is part of a suite of Geofabric products produced by the Australian Bureau of Meteorology. The geometry of this product is largely derived from the ANUDEM Derived Streams V1.1.2 (ANUDEM Streams). It consists of water bodies such as swamps, reservoirs, lakes, etc as derived from AusHydro V1, as well as the stream lines and stream line connectors through these water bodies. The ANUDEM Streams are firstly vectorised to be usable in vector line feature format and are then informed and modified by the coincident locations of the AHGFMappedStream feature class. The features are organised into specific feature class subtypes, based upon both the inputs from the AusHydro V1.7.2 and their behaviour within the AHGF Network Stream relationships. All of the AHGFNetworkStream and AHGFWaterbody features participate in the connected stream flow topology.

This product also contains the AHGFCatchment features that are derived from the National Catchment Boundaries V1.1.4. The AGHFCatchment feature class consist of the lowest level stream flow catchments based upon the inputs from ANUDEM Streams. The catchment boundaries are based upon a single AHGFNetworkStream extent over GEODATA National 9 Second DEM grid. These catchments form the basis of aggregated catchment boundaries, either by Contracted Nodes or by Pfafstetter ID Levels.

All of these features participate in the connected stream flow topology.

Changes at v2.1

! Addition of Beta Monitoring Point Table including 479 ghost nodes

 connected to the network.

- New Water Storages in the WaterBody FC.

Changes at v2.1.1

! Replacement of Beta Monitoring Point Table and inclusion of 3,310

(formerly 479) ghost nodes connected to the stream network.



! 16 New BoM Water Storages attributed in the AHGFWaterBody feature class

and 1 completely new water storage feature added.



- SegnoLink attribute update to fix single catchment feature in Tasmania.



- Correction to spelling of Numeralla river in AHGFMappedStream (formerly

Numaralla).



! Metadata updated adding explanation of AHGFNetworkStream AusHydroEr codes

and revision made to description of DrainID field.



- Fixed a series of NoFlow catchments (small internally draining catchments

not related to a stream segment) in Murray-Darling were incorrectly

attributed as externally draining via the ExtrnlBasn field in

AHGFCatchments.



! Usage of the MergedSink attribute changed from v2.1 (see

HR_Catchments_Technical_Overview.pdf for more info).

Processing steps:

1. ANUDEM Streams dataset is received and loaded into the Geofabric development GIS environment.

2. Feature classes from ANUDEM Streams are recomposed into composited Geofabric Feature Dataset Feature Classes in the Geofabric Maintenance Geodatabase.

3. Re-composited feature classes in the Geofabric Maintenance Geodatabase Feature Dataset are assigned unique Hydro-IDs using ESRI ArcHydro for Surface Water (ArcHydro: 1.4.0.180 and ApFramework: 3.1.0.84).

4. Feature classes from the Geofabric Maintenance Geodatabase Feature Dataset are extracted and reassigned to the Geofabric Surface Network Feature Dataset within the Geofabric Surface Network Geodatabase.

A complete set of data mappings, from input source data to Geofabric Products, is included in the Geofabric Product Guide, Appendices.

Dataset Citation

Bureau of Meteorology (2014) Geofabric Surface Network - V2.1.1. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/d84e51f0-c1c1-4cf9-a23c-591f66be0d40.

Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 3.0 Combined Fee, Designation, Easement feature class in the full geodatabase inventory (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to prioritize overlapping designations, avoiding massive overestimation in protected area statistics, and simplified by the following PAD-US attributes to support user needs for raster analysis data: Manager Type, Manager Name, Designation Type, GAP Status Code, Public Access, and State Name. The rasterization process (see processing steps below) prioritized overlapping designations previously identified (GAP_Prity field) in the Vector Analysis File (e.g. Wilderness within a National Forest) based upon their relative biodiversity conservation (e.g. GAP Status Code 1 over 2). The 30-meter Image (IMG) grid Raster Analysis Files area extents were defined by the Census state boundary file used to clip the Vector Analysis File, the data source for rasterization ("PADUS3_0VectorAnalysis_State_Clip_CENSUS2020" feature class from ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.gdb"). Alaska (AK) and Hawaii (HI) raster data are separated from the contiguous U.S. (CONUS) to facilitate analyses at manageable scales. Note, the PAD-US inventory is now considered functionally complete with the vast majority of land protection types (with a legal protection mechanism) represented in some manner, while work continues to maintain updates, improve data quality, and integrate new data as it becomes available (see inventory completeness estimates at: http://www.protectedlands.net/data-stewards/ ). In addition, protection status represents a point-in-time and changes in status between versions of PAD-US may be attributed to improving the completeness and accuracy of the spatial data more than actual management actions or new acquisitions. USGS provides no legal warranty for the use of this data. While PAD-US is the official aggregation of protected areas ( https://www.fgdc.gov/ngda-reports/NGDA_Datasets.html ), agencies are the best source of their lands data.

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.

Geofabric Hydrology Reporting Regions is derived from aggregations of contracted catchments from Geofabric Hydrology Reporting Catchments. This product contains two candidate reporting regions, namely AWRA Drainage Division for national scale reporting purposes and River Region for regional scale reporting purposes. More reporting regions may be added in future releases based on user requirements.

This product contains four feature types including: AWRA Drainage Division, AWRA Drainage Division Contracted Catchment Lookup, River Region, and River Regions Contracted Catchment Lookup.

Purpose

The purpose of Geofabric Hydrology Reporting Regions is to provide a stable set of reporting boundaries for products such as the Bureau's Australian Water Resources Assessment (AWRA). It contains two levels of hydrological reporting regions. The first delineates national level Drainage Divisions and the second delineates regional level River Regions across Australia.

The AWRA Drainage Division is defined for the purpose of providing a stable set of reporting regions specifically for the purpose of the Bureau's Australian Water Resources Assessment 2010 and are referred to as the 2010 Assessment Reporting regions.

The River Regions were based on a specification developed by Bureau hydrologists involved in water resources assessment in consultation with the Geofabric team and scientists from CSIRO and ANU. These boundaries were developed for use in regional scale reporting and hydrological modelling.

(See html stored with data for more)

Dataset History

Geofabric Hydrology Reporting Regions is part of a suite of Geofabric products produced by the Australian Bureau of Meteorology. The geometry of this product is derived from aggregations of Contracted catchments within the Hydrology Reporting Catchments product.

This product contains two candidate reporting regions, namely AWRA Drainage Divisions for national scale reporting purposes and River Regions for regional scale reporting purposes. More reporting regions will be added in future releases based on user requirements.

The AWRA Drainage Divisions were defined for the purpose of providing a stable set of reporting regions specifically for the purpose of the Bureau's Australian Water Resources Assessment (AWRA) 2010 and are referred to as the 2010 Assessment Reporting Regions.

The AWRA Drainage Divisions were based on the NCB Level 1 Drainage Division feature within the Geofabric Surface Catchments product with the addition of an extra division dividing NSW and Victoria. This division was based on a boundary derived from the NCB Level 2 Drainage Basin feature and was chosen to best approximate the border between New South Wales (NSW) and Victoria, creating the South East Coast (Victoria) and South East Coast (NSW) regions.

The River Regions were based on a specification developed by Bureau hydrologists involved in water resource assessment in consultation with the Geofabric team and scientists from CSIRO and ANU. These boundaries were developed for use in regional scale reporting and hydrological modelling.

The River Regions were based on the NCB Level 2 Drainage Basins, within the Geofabric Surface Catchments product, for every location in Australia except for the Murray Darling Basin (MDB) where a finer level of division was required.

The boundaries within the MDB were originally developed on the selections of Pfafstetter levels 3 to 7 that best approximated the Australian Water Resource Council (AWRC) river basins. A set of decision rules was developed using evidence from the GEODATA 9 Digital Elevation Model (DEM-9S) Version 3.1 flow direction grid, the 1 second DEM-H Shuttle Radar Topography Mission (STRM) data, Bing Maps Satellite Images, Geofabric stream flow directions and Geofabric Surface Cartography data. Particular attention was given to areas with internal draining basins, minimal or no streams, and floodplain areas with anabranch and braided streams.

These informed the creation of MDB Contracted nodes which correspond to features in the landscape with hydrological significance, with subsequent creation of Contracted catchments. Contracted catchments were then aggregated to create River Regions within the MDB.

Processing steps:

1. re-composited feature classes in the Geofabric Maintenance Geodatabase Feature Dataset are assigned unique Hydro-IDs using ESRI ArcHydro for Surface Water (ArcHydro: 1.4.0.180 and ApFramework: 3.1.0.84)

2. feature classes from the Geofabric Maintenance Geodatabase Feature Dataset are extracted and reassigned to the Geofabric Hydrology Reporting Regions Feature Dataset within the Geofabric Hydrology Reporting Regions Geodatabase.

A complete set of data mappings, from input source data to Geofabric Products, is included in the Geofabric Product Guide, Appendices.

Dataset Citation

Bureau of Meteorology (2011) Geofabric Hydrology Reporting Regions - V2.1. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/3d482415-233f-4ffd-9dd1-20d37b85229f.

This feature class is updated every business day using Python scripts and the Well Log database. Please disregard the "Date Updated" field as it does not keep in sync with DWR's internal enterprise geodatabase updates. This feature class contains the location and site attributes of drilled wells in Nevada. Licensed well drillers submit well logs (reports) to NDWR. This information is entered into the Well Log database in SQL Server. Latitude and Longitude coordinates are displayed in GIS format for convenience in identifying wells. Two additional fields are calculated for specific capacity and transmissivity. Specific capacity is yield divided by drawdrawn. Transmissivity is specific capacity times 267. If yield or drawdown fields are blank, specific capacity is blank.You may search for well reports at https://tools.water.nv.gov/WellLogQuery.aspxNevada Administrative Code for Underground Water and Wells

More Metadata Address points mark the _location of each addressable structure and its access point. The access point is the place where a driveway intersects the road. The building point is where the structure is located. An addressable structure is one where people live, work, or gather. A 1 to 5-digit number designates an address. Purpose: The access point is used to assign an address to the structure. Addresses are also assigned to assist in the provision of emergency services; they can be queried at all Fire and Rescue stations and by E-911 dispatchers. Supplemental Information: Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. Maintenance and Update Frequency: Daily Completeness Report: Features may have been eliminated or generalized due to scale and intended use. To assist Loudoun County, Virginia in the maintenance of the data, please provide any information concerning discovered errors, omissions, or other discrepancies found in the data. Data Owner: Office of Mapping and Geographic Information