65 datasets found
  1. NSW Groundwater Database (Water Data Transfer Format and Hydstra)

    • researchdata.edu.au
    • data.gov.au
    • +1more
    Updated Jul 6, 2017
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    Bioregional Assessment Program (2017). NSW Groundwater Database (Water Data Transfer Format and Hydstra) [Dataset]. https://researchdata.edu.au/nsw-groundwater-database-format-hydstra/2992543
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    Dataset updated
    Jul 6, 2017
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Bioregional Assessment Program
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    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.

    Hydstra Water Levels 9-6-12

    The Hydstra data for NSW Office of Water (NoW) was extracted on 9 June 2012 although the latest water level reading date is April 2012. The Hydstra groundwater database was provided by NoW and was imported into MS Access from the HYDMEAS database file (dbf).

    The Hydstra database stores groundwater level information from \~ 11,800 bores. This includes the NSW monitoring network of bores and private bores (eg. Stock bores with a water level reading).

    Site information on the bores has not been included as this data is available from the NoW NGIS. The NGIS has been quality checked and should be used for all site data.

    The Hydstra data should only be used for bores that are not included in the WDTF.

    Of the 4000 extra bores in hydstra, many water level readings have been taken at the time of drilling and many are once off readings. These data have not been validated.

    Any information obtained from the Hydstra data should be assessed for its quality prior to inclusion in a Bioregional Assessment.

    There is no data dictionary that came with the hydstra data. Groundwater levels are variable 110.

    Variable 110 = Depth to groundwater from the measurement point. The measurement point can then be derived from the NGIS which will have an elevation Field = TSRefElev.

    Wdtf NoW 19-11-12

    Through the Water Regulations, a full extract of NSW monitoring data was provided in WDTF in November 2012, although the latest water level reading date is September 2012.

    WDTF was provided for \~7,800 monitoring bores across NSW. This data was extracted from the original WDTF using python scripts, into the MS Access database.

    Site information on the bores has not been included as this data is available from the NoW NGIS. The NGIS has been quality checked and should be used for all site data.

    The WDTF is provided to the Bureau by NoW as "Validated" data. Therefore, WDTF should be used as the primary source for groundwater level data.

    Dataset History

    Hydstra Water Levels 9-6-12

    The Hydstra data for NSW Office of Water (NoW) was extracted on 9 June 2012 from the NSW corporate groundwater database although the latest water level reading date is April 2012. The Hydstra groundwater database was provided by NoW and was imported into MS Access from the HYDMEAS database file (dbf).

    Wdtf NoW 19-11-12

    Through the Water Regulations, a full extract of NSW monitoring data was provided in WDTF in November 2012, although the latest water level reading date is September 2012.

    Dataset Citation

    NSW Office of Water (2012) NSW Groundwater Database (Water Data Transfer Format and Hydstra). Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/75390050-09da-46ad-b342-dbc98982aafd.

  2. D

    Real-Time Water - Groundwater Monitoring

    • data.nsw.gov.au
    • researchdata.edu.au
    pdf, seed web map +2
    Updated Apr 17, 2025
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    Water New South Wales (WNSW) (2025). Real-Time Water - Groundwater Monitoring [Dataset]. https://data.nsw.gov.au/data/dataset/ae81ad07-33d7-4815-8353-80ee2c0373de
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    seed web map, url, pdf, xmlAvailable download formats
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Water New South Wales (WNSW)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Water resource data primarily relating to groundwater levels. Includes bore water levels. The data availability will vary from site to site and can change with time.

  3. w

    All Water Data - Groundwater construction

    • data.wu.ac.at
    • data.nsw.gov.au
    • +1more
    dqs - pdf, dqs - xml +2
    Updated Oct 24, 2016
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    New South Wales Datasets (2016). All Water Data - Groundwater construction [Dataset]. https://data.wu.ac.at/odso/data_gov_au/OTVmNjM1N2UtNDk1YS00YjIxLWJjMmUtMGRjOGI4YjdhMTk1
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    pdf, dqs - xml, dqs - pdf, htmlAvailable download formats
    Dataset updated
    Oct 24, 2016
    Dataset provided by
    New South Wales Datasets
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    River, stream, dam and bore data displayed on a map.

  4. d

    CLM groundwater model V1

    • data.gov.au
    • researchdata.edu.au
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). CLM groundwater model V1 [Dataset]. https://data.gov.au/data/dataset/groups/2acf0342-956e-430f-9142-cf64d2b9d118
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    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

    This dataset contains all the required files to run the CLM groundwater model. The model was developed based on a number of datasets collected and/or generated by the bioregional assessment teams. The model can be executed by running the "CLM.bat" file.

    Dataset History

    Multiple datasets collected and/or generated by the bioregional assessment teams have been used in the model development process as shown in the Lineage of this dataset.

    These datasets were processed and reorganized into formats that are compatible with MODFLOW, the USGS groundwater flow modeling code.

    More information about the model can be found in the companion product 2.6.2 for the Clarence-Moreton bioregion.

    Dataset Citation

    Bioregional Assessment Programme (2015) CLM groundwater model V1. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/2acf0342-956e-430f-9142-cf64d2b9d118.

    Dataset Ancestors

  5. d

    HUN bores v01

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 20, 2019
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    Bioregional Assessment Program (2019). HUN bores v01 [Dataset]. https://data.gov.au/data/dataset/activity/97931fff-5ee9-4efb-b59c-ead03345abbe
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    Dataset updated
    Nov 20, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple datasets. 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.

    Combined groundwater bores database for the Hunter subregion drawn from source data. The data are stored in an ArcGIS file geodatabase. The geodatabase consists of five piont shapefiles (associated with the input datasets in the lineage) and three tables. The shapefiles are:

    Alluvium_bores.shp

    HUN_GW_BOM_bores_from_AssetsDB.shp

    HUN_GW_BOM_bores_from_AssetsDB_20150908.shp

    HUN_GW_bores_from_HYDMEA_2012_v01.shp

    HUN_GW_bores_from_NSW_NGIS_201407

    There are 2121 bores in the Aluvium_bores.shp, 7377 bores in the HUN_GW_BOM_bores_from_AssetsDB.shp, 7377 bores in the HUN_GW_BOM_bores_from_AssetsDB_20150908.shp (same as previous but with extra attributes added to the table), 590 bores in the HUN_GW_bores_from_HYDMEA_2012_v01.shp and 7753 bores in the HUN_GW_bores_from_NSW_NGIS_201407.shp.

    Dataset History

    Bore location point features from the the two source datasets were selected for the Hunter subregion and compiled in a file geodatabase. Also contains subsets of this collection. Eg bores on Alluvium which was derived by selecting bores from the NGIS dataset which were located within the HUN Alluvium (1:1m Geology). Attributes relating to the EC, depth and water sources relating to selected bores (where data were available) were added (joined) to the table of HUN_GW_BOM_bores_from_AssetsDB.shp to create HUN_GW_BOM_bores_from_AssetsDB_20150908.shp.

    Dataset Citation

    Bioregional Assessment Programme (2015) HUN bores v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/97931fff-5ee9-4efb-b59c-ead03345abbe.

    Dataset Ancestors

  6. w

    Real-time water data from continuous monitoring stations across NSW

    • data.wu.ac.at
    • researchdata.edu.au
    html
    Updated Dec 3, 2015
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    New South Wales Datasets (2015). Real-time water data from continuous monitoring stations across NSW [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YTlkMWEzYTQtZDc3NS00NWEzLThiYTktYWVkOGRhOWY4N2M4
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    html(18640.0)Available download formats
    Dataset updated
    Dec 3, 2015
    Dataset provided by
    New South Wales Datasets
    Area covered
    New South Wales
    Description

    Data from over 5000 monitoring stations measuring water quality and quantity across NSW. Real-time data for river levels and flows; storage elevations, temperature and turbidity; and bore water levels. You can see data for rivers and streams, dams, and groundwater in spatial form on a map.

  7. d

    CLM Groundwater balance analysis

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). CLM Groundwater balance analysis [Dataset]. https://data.gov.au/data/dataset/a9f11fcd-b728-4a48-ab89-1689bc8d888f
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    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

    This dataset contains the budget data from the selected 30 groundwater model realisations used for water balance analysis. Realisation index numbers are listed in a text file. Input parameters for every realisation are also provided. Although the raw model outputs are not contained, people can reproduce all the raw outputs using the registered Clarence-Moreton groundwater model together with these input parameters.

    Dataset History

    The components of the water balance represent a different set of model outputs to the hydrological response variables generated at receptor locations and are therefore not included in the uncertainty analysis reported in companion product 2.6.2 for the Clarence-Moreton bioregion. The water balance analysis was carried out based on 30 model simulations selected from a total of 1847 successful simulations conducted for the sensitivity analysis reported in companion product 2.6.2 for the Clarence-Moreton bioregion. The selection process mainly involves the following steps:

    1. Filter models using the forecast water production. Only models with a water production that is within the range from one-tenth of the forecast volume to ten times the forecast volume were used for further analysis.

    2. Compute and normalise the head objective function using the observed heads described in the companion product 2.6.2 for the Clarence-Moreton bioregion (Cui et al., 2016).

    3. Compute and normalise the baseflow objective function using estimated baseflow at the river stage gauge site near Casino.

    4. Rank the models based on the sum of the two normalised components of the objective function described in step 2 and step 3.

    5. Conduct a statistical summary analysis using the top 30 models derived in step 4.

    Dataset Citation

    Bioregional Assessment Programme (2016) CLM Groundwater balance analysis. Bioregional Assessment Derived Dataset. Viewed 27 September 2017, http://data.bioregionalassessments.gov.au/dataset/a9f11fcd-b728-4a48-ab89-1689bc8d888f.

    Dataset Ancestors

  8. d

    HUN Economic Elements ZoPHC v01

    • data.gov.au
    • researchdata.edu.au
    Updated Nov 20, 2019
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    Bioregional Assessment Program (2019). HUN Economic Elements ZoPHC v01 [Dataset]. https://data.gov.au/data/dataset/c4b8729d-1bcc-4f66-bc5c-d8181d24ad35
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    Dataset updated
    Nov 20, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

    The dataset consists of following shapefiles and their associated spreadsheets:

    Bores_outside_HUN-GWZoPHC.shp: consists of all groundwater bores located within the zone of potential hydraulic change (ZoPHC), but located outside the groundwater zone of potential hydraulic change (GWZoPHC).

    Groundwater_Elements.shp: consists of all groundwater bores located within the zone of potential hydraulic change (ZoPHC) including the bores located within the mine pits as well as bores located in the various percent quantiles. The shapefiles also includes the information related to groundwater management and water sources they are located in.

    Surfacewater_Elements.shp:consists of all surface water extraction points located within the zone of potential hydraulic change (ZoPHC). The shapefiles also includes the information related to groundwater management and water sources they are located in.

    WSPGWSources_Jan2017_intersecting_HUNZoPHC.shp: shapefiles representing the management and water source areas intersecting the Hunter subregion.

    Dataset History

    This dataset consists of economic elements extracted from the public version of the Hunter Assets Database and intersecting the zone of potential hydraulic changes for the Hunter subregion. The shapefiles were created after created a set of queries defined in ARCGIS software for shapefile datasets in the GIS folder of the Assets database. As part of the developing the queries, the updated zone of potential hydraulic changes shapefile along with the updated groundwater zone of potential hydraulic changes were considered.

    The groundwater management areas intersecting the zone of potential hydraulic change were extracted from the Management zones dataset supplied by NSW Department of Primary Industries - Water in February 2017 and a shapefile was created by developing a query in the ARCGIS software.

    Dataset Citation

    Bioregional Assessment Programme (2017) HUN Economic Elements ZoPHC v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/c4b8729d-1bcc-4f66-bc5c-d8181d24ad35.

    Dataset Ancestors

  9. d

    Namoi potentially impacted groundwater bores

    • data.gov.au
    • researchdata.edu.au
    Updated Nov 20, 2019
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    Bioregional Assessment Program (2019). Namoi potentially impacted groundwater bores [Dataset]. https://data.gov.au/data/dataset/activity/1806eed0-cbb9-4a14-b48b-a206a173c7fe
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    Dataset updated
    Nov 20, 2019
    Dataset provided by
    Bioregional Assessment Program
    Area covered
    Namoi River
    Description

    Abstract

    This dataset contains the groundwater bores within the Namoi groundwater model domain and identifies their water source and whether they are a water access right or a basic access right. The dataset also contains maximum additional drawdown at the 5th, 50th and 95 percentiles.

    Dataset History

    This dataset has been extracted from the Namoi Impact and Risk Analysis Database v01 (IMIA).

    Dataset Citation

    Bioregional Assessment Programme (2017) Namoi potentially impacted groundwater bores. Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/1806eed0-cbb9-4a14-b48b-a206a173c7fe.

    Dataset Ancestors

  10. d

    CLM Py Charts v01

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). CLM Py Charts v01 [Dataset]. https://data.gov.au/data/dataset/8577113f-b984-428d-9258-95d6b8da32bc
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    Dataset updated
    Nov 19, 2019
    Dataset authored and provided by
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

    This dataset contains the python scripts used to generate some of the figures in CLM 2.6.2.7 and 2.6.2.8 (Cui et al. 2016).

    Dataset History

    A set of python scripts to generate figures based on the results of the CLM uncertainty analysis in CLM 2.6.2.7 and CLM 2.6.2.8 (Cui et al. 2016). Each script is written by the BA modelling team and generates a single figure by loading the relevant spreadsheets from dataset CLM MODFLOW Uncertainty Analysis. The filename of the relevant spreadsheet(s) are hardcoded in the scripts. The workbooks associated with the report detail which python script is used for which figure.

    Dataset Citation

    Bioregional Assessment Programme (2016) CLM Py Charts v01. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/8577113f-b984-428d-9258-95d6b8da32bc.

    Dataset Ancestors

  11. d

    GIS analysis of HYDMEAS - Hydstra Groundwater Measurement Update: NSW Office...

    • data.gov.au
    • researchdata.edu.au
    • +1more
    zip
    Updated Apr 13, 2022
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    Bioregional Assessment Program (2022). GIS analysis of HYDMEAS - Hydstra Groundwater Measurement Update: NSW Office of Water - Nov2013 [Dataset]. https://data.gov.au/data/dataset/d414c703-aabd-43af-81e0-30aab4d9dfb1
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    zip(113597112)Available download formats
    Dataset updated
    Apr 13, 2022
    Dataset authored and provided by
    Bioregional Assessment Program
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013. The source dataset ia 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.

    Displays the original Hydstra measurement (HYDMEAS) tabular data records (as stored in the Hydstra software platform) in a GIS format for interpretation and analysis.

    Analysis completed on this dataset includes extracts to determine location and status of current monitoring bores:

    HYDMEAS - original tabular database file (dbf) showing groundwater levels

    HYDMEAS_XY_all - displays all original tabular data in GIS shapefile format

    HYDMEAS_unique_bores - shows one record for each unique bore station ID

    HYDMEAS_2008 - All HYDMEAS data from 2008 or later

    HYDMEAS_2008to2013_mulitple_reading - All HYDMEAS data from 2008 or later which has been monitored twice or more (in that period), produced to estimate groundwater level monitoring bores

    National Groundwater Information System (NGIS) data supplied as a comparison of HYDMEAS monitoring estimates.

    Hydstra is a water resources time series data management system developed by KISTERS Pty Ltd.

    Purpose

    Provide spatial distribution of groundwater level monitoring status and reading for New South Wales.

    Dataset History

    HYDMEAS - original tabular data

    HYDMEAS_XY_all - displays all original tabular data in GIS format - Displayed as XY in ArcGIS based on Lat and Long attributes and exported as a point shapefile

    HYDMEAS_unique_bores - shows one record for each unique bore ID - Dissolved HYDMEAS_XY_all based on STATION field

    HYDMEAS_2008 - All HYDMEAS data from 2008 or later - Selected based on DATE field

    HYDMEAS_2008to2013_mulitple_reading - All HYDMEAS data from 2008 or later which has been monitored twice or more (in that period), produced to estimate groundwater level monitoring bores - HYDMEAS_2008 dataset dissolved based on STATION and a count field added. Only bores with count of 2 or more were retained

    Dataset Citation

    Bioregional Assessment Programme (2014) GIS analysis of HYDMEAS - Hydstra Groundwater Measurement Update: NSW Office of Water - Nov2013. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/d414c703-aabd-43af-81e0-30aab4d9dfb1.

    Dataset Ancestors

  12. d

    GLO Economic Elements ZoPHC v02

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Aug 9, 2023
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    Bioregional Assessment Program (2023). GLO Economic Elements ZoPHC v02 [Dataset]. https://data.gov.au/data/dataset/groups/d2a21a09-d4b7-485a-95b0-fe89f8b6c60b
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    Dataset updated
    Aug 9, 2023
    Dataset authored and provided by
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

    The dataset consists of following shapefiles:

    AlluviumBores_Within_MinePits.shp: consists of all alluvial bores located in the mine pits belonging to coal resources

    AlluviumBores_Within_ZoPHC: consists of all alluvial bores located within the zone of potential hydraulic change (ZoPHC)

    AlluvialBores_Within_ZoPHC_20Feb17.shp: consists of all alluvial bores located within the zone of potential hydraulic change (ZoPHC) and was created on 20 February 2017.

    AlluvialBoresWithin_GWZoPHC.shp: consists of all alluvial bores located within the groundwater zone of potential hydraulic change (GWZoPHC)

    AlluvialBoreswithWS_Within_ZoPHC_20Feb17.shp: consists of all alluvial bores located within the zone of potential hydraulic change (ZoPHC) with information about the water source area and was created on 20 February 2017.

    AlluvialBoreWithin_MinePits.shp: consists of all alluvial bores located in the mine pits belonging to coal resources

    Bores_Outside_GWZoPHC.shp: consists of all groundwater bores located within the ZoPHC, but located outside the GWZoPHC

    GLO_WaterSource_ZoPHC.shp: shapefiles representing the management and water source areas intersecting the Gloucester subregion

    GloucesterBasin_GWBores_Within_ZoPHC.shp: shapefile representing the bores located in the Gloucester basin groundwater management areas of the North Coast Fractured and Porous Rock Groundwater Sources 2016 Water Sharing Plan and within the ZoPHC

    GloucesterBasinBores_Within_GWZoPHC.shp: shapefile representing the bores located in the Gloucester basin groundwater management areas of the North Coast Fractured and Porous Rock Groundwater Sources 2016 Water Sharing Plan and within the GWZoPHC

    GloucesterBasinGMABores_Within_MinePit.shp: shapefile representing the bores located in the Gloucester basin groundwater management areas of the North Coast Fractured and Porous Rock Groundwater Sources 2016 Water Sharing Plan and within the minepits belonging to coal resources

    GW_MgmtZones_ZoPHC.shp: shapefiles representing the management and water source areas intersecting the Gloucester subregion

    GWBores_Within_FracWSP_210217.shp: shapefile representing the bores located in the groundwater management areas of the North Coast Fractured and Porous Rock Groundwater Sources 2016 Water Sharing Plan

    GWBores_Within_GWZoPHC.shp: shapefile representing the bores located within the GWZoPHC

    NewEnglandFoldBelt_GWBores_Within_ZoPHC.shp: shapefile representing the bores located in the New England Fold Belt Coast groundwater management areas of the North Coast Fractured and Porous Rock Groundwater Sources 2016 Water Sharing Plan and within ZoPHC

    Old_GW_Points.shp: shapefile representing the groundwater bores as in the Gloucester Assets database.

    Old_SW_Points.shp: sshapefile representing the surface water extraction points as in the Gloucester Assets database.

    SWPoints_Within_SWZoPHC.shp: consists of all surface water elements (extraction points) located within the surface water zone of potential hydraulic change (SWZoPHC)

    SWPoints_Within_ZoPHC.shp: consists of all surface water elements (extraction points) located within the ZoPHC

    SWPoints_withSourceAreas_Within_ZoPHC.shp: consists of all surface water elements (extraction points) located within the ZoPHC along with the water source areas

    Dataset History

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

    The groundwater management areas intersecting the zone of potential hydraulic change were extracted from the Management zones dataset supplied by NSW Department of Primary Industries - Water in February 2017 and a shapefile was created by developing a query in the ARCGIS software.

    Dataset Citation

    Bioregional Assessment Programme (2017) GLO Economic Elements ZoPHC v02. Bioregional Assessment Derived Dataset. Viewed 17 July 2018, http://data.bioregionalassessments.gov.au/dataset/d2a21a09-d4b7-485a-95b0-fe89f8b6c60b.

    Dataset Ancestors

  13. d

    CLM Groundwater model uncertainty analysis

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). CLM Groundwater model uncertainty analysis [Dataset]. https://data.gov.au/data/dataset/groups/19a52dab-847a-4f6e-8904-68d062047866
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    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    This dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

    The dataset contains an interpolated grid of the probability of exceeding 0.2 m drawdown at the water table in the Clarence Moreton subregion.

    Purpose

    These formed the basis of the figures in the CLM 2.6.2 product.

    Dataset History

    All the inputs for this data set were obtained from the groundwater model data set. Spreadsheet 'CLM_MF_dmax_tmax_excprob.csv' in the source dataset has the probability of exceeding 0.2mdrawdown in column P(dmax>0.2 m). The values for computation nodes labelled 1 in the column 'layer' are interpolated to a regular grid.

    Dataset Citation

    Bioregional Assessment Programme (2016) CLM Groundwater model uncertainty analysis. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/19a52dab-847a-4f6e-8904-68d062047866.

    Dataset Ancestors

  14. d

    Namoi drawdown exceedance probabilities for economic asset bores

    • data.gov.au
    • researchdata.edu.au
    Updated Nov 20, 2019
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    Bioregional Assessment Program (2019). Namoi drawdown exceedance probabilities for economic asset bores [Dataset]. https://data.gov.au/data/dataset/b9899643-17db-4ad4-8a33-6ec355f6aeae
    Explore at:
    Dataset updated
    Nov 20, 2019
    Dataset authored and provided by
    Bioregional Assessment Program
    Area covered
    Namoi River
    Description

    Abstract

    This dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Figures using these data were created using the Python scripting environment. Output produced probability exceedence curves of drawdown for economic bores in the Namoi assessment area.

    Purpose

    This dataset was created to draw plots of cumulative areas of groundwater drawdown in the regional watertable aquifer corresponding to economic asset bores.

    Dataset History

    Element level data for economic bore assets were extracted from the Namoi asset database and stamped with corresponding zone information. Drawdown values from drawdown model grids were extracted to bore points and resulting table was exported to a text file. A Python script then plotted cumulative drawdown for bores within the zone of potential hydrological change for 6 groundwater management units.

    Dataset Citation

    Bioregional Assessment Programme (2017) Namoi drawdown exceedance probabilities for economic asset bores. Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/b9899643-17db-4ad4-8a33-6ec355f6aeae.

    Dataset Ancestors

    *

  15. w

    Great Artesian Basin - Precipice Aquifer and equivalents - Thickness and...

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    shp
    Updated Jun 26, 2018
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    (2018). Great Artesian Basin - Precipice Aquifer and equivalents - Thickness and Extent [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YjJlZDljMjAtZjI2OC00MGQ1LWI4YTQtMTBhMDIzMTkwZGE0
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    shpAvailable download formats
    Dataset updated
    Jun 26, 2018
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    d70a22264e1496d3020fb35ddea6cf7d712381b9
    Description

    The Precipice Aquifer & Equivalents - Thickness and Extent data set, is one of a set that represents the hydrostratigraphic units of the Great Artesian Basin, which include five major aquifers, four intervening aquitards, and the Cenozoic cover to the GAB.

    There are five layers in the Precipice Aquifer and Equivalents map data

    A: Formation Extent B: Outcrop extent C: Isopach Raster D: Isopach Contours E: Data Point Locations

    The datasets have been derived from the lithostratigraphic intercepts in drillhole data from petroleum exploration wells, water bores, and stratigraphic wells. Seismic correlation and assessment of hydrogeological character based on electrofacies have not been used. The working datasest for this study has been derived primarily from the following databases:

    1. PEPS-SA (Petroleum Exploration and Production System - South Australia) (Department of Primary Industries and Regions SA, 2011)
    2. WaterConnect Groundwater database (Govt. of SA, 2011)
    3. QPED (Queensland Petroleum exploration database) (Geological Survey of Queensland, 2010).
    4. GABLOG (Great Artesian Basin Well Log Dataset) (Habermehl, 2001)
    5. Additional supplementary information was derived from published reports listed in the following section.

    Interpretations by OBrien & Wells, (1994); and O'Brien 2011 were used in generating the isopach data (thickness surface and contours) along the boundary of the Surat and Clarence-Moreton Basins.

    Isolated polygons in the North West have represent the extents of a basal Lower Jurassic sandstone underlying the Hutton Sandstone which is equivalent to the Precipice Sandstone,.

    This dataset and associated metadata can be obtained from www.ga.gov.au, using catalogue number 81684.

    Associated report reference: Ransley, T., Radke, B., Feitz, A., Kellett, J., Owens, R., Bell, J. and Stewart, G., 2015. Hydrogeological Atlas the Great Artesian Basin. Geoscience Australia. Canberra. [available from www.ga.gov.au using catalogue number 79790]

    REFERENCES: References - main data sources

    • Department of Primary Industries and Regions SA (2011). Petroleum Exploration and Production System - South Australia (PEPS-SA). Version 2011-06-15. Retrieved from http://www.pir.sa.gov.au/petroleum/access_to_data/peps-sa_database
    • Geological Survey of Queensland (2010). Queensland Petroleum Exploration Data (QPED) database. Retrieved 25 September 2011, from http://mines.industry.qld.gov.au/geoscience/geoscience-wireline-log-data.htm.
    • Geoscience Australia, 2013. Mesozoic Geology of the Carpentaria and Laura Basins (dataset). Scale 1:6000000. Geoscience Australia, Canberra. [available from www.ga.gov.au using catalogue number 75840]
    • Gibson, D. L., B. S. Powell & Smart, J. (1974). Shallow stratigraphic drilling, northern Cape York Peninsula, 1973. Record 1974/76. Australia, Bureau of Mineral Resources.
    • Govt. of South Australia (2011). WaterConnect Groundwater database [available at https://www.waterconnect.sa.gov.au].
    • Habermehl, M. A. and J. E. Lau (1997). Hydrogeology of the Great Artesian Basin Australia (Map at scale 1:2,500,000). Canberra, Australian Geological Survey Organisation.
    • O'Brien, P. E. (2011). The eastern edge of the Great Artesian Basin: relationships between the Surat and Clarence-Moreton basins. Internal report. Canberra, Geoscience Australia.
    • Wells, A.T. , O'Brien, P.E. 1994 Lithostratigraphic framework of the Clarence-Moreton Basin IN Wells, A.T. and O'Brien, P.E. (eds.) "Geology and Petroleum Potential of the Clarence-Moreton Basin, New South Wales and Queensland" Australian Geological Survey Organisation. Bulletin 241 p4-47

    References - Seismic Surveys - none

    References - Well Completion Reports and drilling logs - None

  16. D

    Probable Vegetation Groundwater Dependent Ecosystems - Southern Rivers

    • data.nsw.gov.au
    • researchdata.edu.au
    pdf, zip
    Updated Jun 19, 2024
    + more versions
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). Probable Vegetation Groundwater Dependent Ecosystems - Southern Rivers [Dataset]. https://data.nsw.gov.au/data/en/dataset/groups/probable-vegetation-gde-southern-rivers
    Explore at:
    pdf, zipAvailable download formats
    Dataset updated
    Jun 19, 2024
    Dataset provided by
    Department of Climate Change, Energy, the Environment and Water of New South Waleshttps://www.nsw.gov.au/departments-and-agencies/dcceew
    Authors
    NSW Department of Climate Change, Energy, the Environment and Water
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The purpose of this project is to create a data set that identifies vegetation communities that have a probability of being a groundwater dependent ecosystem within NSW. Probability categories are high, medium, low and non GDE. The data is required to meet legislative requirements for water sharing plans and water resource plans. This is a base data layer that can be used to aid research projects, assessment of state significant development applications, licence applications and compliance issues. For ease of data modelling and management, the dataset was divided into the following catchment management areas; Border Rivers-Gwydir, Central Tablelands, Central West, Hawkesbury-Nepean, Hunter-Central Rivers, Lachlan, Lower Murray Darling, Murray, Murrumbidgee, Namoi, Northern Rivers, Southern Rivers, Southern Tablelands, Sydney Metro and Western Division (Far West and Western MDBA).

    Please note: Groundwater Dependent Ecosystem mapping used the NSW DPE Environment and Heritage vegetation mapping product as the underlying data source. NSW DPE Water activities such as bore applications that are examined at a site specific scale may need subsequent verification to confirm.

    Method report is available via the DoI Water website - https://water.dpie.nsw.gov.au/_data/assets/pdf_file/0010/151894/High-Probability-GDE-method-report.pdf

  17. m

    Thickness of Paleogene-Neogene sequence overlying the Great Artesian Basin...

    • demo.dev.magda.io
    • researchdata.edu.au
    • +2more
    zip
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). Thickness of Paleogene-Neogene sequence overlying the Great Artesian Basin (GABWRA) [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-0a4a58df-93b9-4314-ae05-8f2e1f384969/details?q=
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Great Artesian Basin
    Description

    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. Thickness of Paleogene-Neogene se...Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Thickness of Paleogene-Neogene sequence overlying the Great Artesian Basin Data is available as isopachs and raster. Isopachs are in Shapefile format. Rasters are in both ESRI grid and ASCII grid formats. This GIS data set was produced for the Great Artesian Basin Water Resource Assessment and used in: Figure 3.2 of Ransley TR and Smerdon BD (eds) (2012) Hydrostratigraphy, hydrogeology and system conceptualisation of the Great Artesian Basin. A technical report to the Australian Government from the CSIRO Great Artesian Basin Water Resource Assessment. CSIRO Water for a Healthy Country Flagship, Australia. Figure 3.3 of Smerdon BD, Ransley TR, Radke BM and Kellett JR (2012) Water resource assessment for the Great Artesian Basin. A report to the Australian Government from the CSIRO Great Artesian Basin Water Resource Assessment. CSIRO Water for a Healthy Country Flagship, Australia. Dataset History SOURCE: Thickness of Paleogene-Neogene sequence was interpolated from thickness values calculated from drill-hole data from company well completion reports, from BMR and GSQ stratigraphic drilling, and from isopach contours from existing reports (references below). REFERENCES Chamberlain, T., K. Wilkinson, et al. (2004). Salinity Investigations Using Airborne Geophysics in the Lower Balonne Area, Southern Queensland, Department of Natural Resources and Mines. Gibson, D. L., B. S. Powell, et al. (1974). Shallow stratigraphic drilling, northern Cape York Peninsula, 1973. Record 1974/76. Australia, Bureau of Mineral Resources. Habermehl, M. A. (2001). Wire-line logged water bores in the Great Artesian Basin, Australia - digital data of logs and water bore data acquired by AGSO. Australian Geological Survey Organisation Bulletin 245. Canberra, Bureau of Rural Sciences: ix, 98 p. Kellett, J. R., B. Pearce, et al. (2004). Groundwater. Salinity investigations using airborne geophysics in the Lower Balonne area Southern Queensland. National Action Plan for Salinity and Water Quality. T. Chamberlain and K. Wilkinson. Australia, Bureau of Rural Sciences: 81-138. Langford, R. P., G. E. Wilford, et al. (1995). Palaeogeographic Atlas of Australia. Volume 10 - Cainozoic. Canberra, Australian Geological Survey Organisation. Macaulay, S. & Kellett, J. (Eds) (2009). Mapping groundwater and salinity using airborne electromagnetics in the Lower Macquarie River Valley, New South wales. Bureau of Rural Sciences, Canberra. Moussavi-Harami, R. and E. Alexander (1998). "Tertiary stratigraphy and tectonics, Eromanga Basin region." MESA 8: 32-36. NSW Office of Water (2012a). Alluvium thickness in the Upper Darling. Digital Dataset. NSW Office of Water (2012b). Alluvium thickness in the Lower Namoi. Digital Dataset. PIRSA (2007). Petroleum and geothermal in South Australia. 19th Edition (DVD). Adelaide, Primary Industries and Resources South Australia, Division of Minerals and Energy Resources. Queensland Department of Natural Resources and Mines (2012) "Queensland Digital Exploration Reports (QDEX)". http://mines.industry.qld.gov.au/geoscience/company-exploration-reports.htm Senior, B.R., 1978 - The Whitula Formation, a new Tertiary stratigraphic unit. Appendix, p.49-50 In Senior, B.R., Mond, A.& Harrison, P.L., 1978 - Geology of the Eromanga Basin. Bureau of Mineral Resources, Bulletin 176, 102p. Senior, B. R., A. Mond, et al. (1978). Geology of the Eromanga Basin. Bulletin 167. Canberra, Bureau of Mineral Resources, Geology and Geophysics. METHOD: Data covering the areas of Upper Darling, Lower Namoi was supplied by the NSW government. Contours in the Macquarie region NSW were interpreted from the Cenozoic isopachs taken from Macaulay, S. & Kellett, J. (2009) Lower Balonne Deep Lead tertiary isopach contours captured from a National Action Plan for Salinity and Water Quality report (Chamberlain, T. & Wilkinson, K., 2004; Kellett et.al. 2004). Isopachs in the southern portion of the GAB were captured from the Cainozoic Structural Features page 22 of Palaeogeographic Atlas of Australia: Cainozoic (Langford & Wilford, 1995) Isopachs over the Poolowanna Trough and Cooper Basin region were taken from Tertiary Stratigraphy and Tectonics, Eromanga Basin (Moussavi-Harami, R. & Alexander, E., 1998) Isopachs in the central Eromanga Basin, Queensland came from Senior 1978. Position and boundary of the Condamine Basin from Klohn, Crippen & Berger, 2011 - feasibility of injecting CSG water into the central Condamine Alluvium - Summary. Report prepared for department of Environment and Resource Management, Queensland, 8p. Isopachs came from the Cainozoic Structural Features page 22 of Palaeogeographic Atlas of Australia: Cainozoic (Langford & Wilford, 1995) Drill-hole data sourced from PIRSA (2007) and GABLOG (Habermehl, 2001) databases, Gibson et al 1974, and well completion reports from GSQ (Queensland Department of Natural Resources and Mines, 2012). Data were used to interpolate a surface using the Topo to Raster tool in the ArcGIS Spatial analyst toolset and the resulting raster was clipped to the Great Artesian Basin Water Resource project boundary. Isopach contours were generated from the raster, using the Contour tool in the 3d analyst toolset in ArcGIS. Further information can be found at http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_76538 Dataset Citation Geoscience Australia (2013) Thickness of Paleogene-Neogene sequence overlying the Great Artesian Basin (GABWRA). Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/efcb07c6-a0b3-49fa-bdb2-1cf31a67be37.

  18. w

    Micropalaeontological examination of samples from three bores in Northern...

    • data.wu.ac.at
    pdf
    Updated Jun 26, 2018
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    Corp (2018). Micropalaeontological examination of samples from three bores in Northern N.S.W [Dataset]. https://data.wu.ac.at/schema/data_gov_au/MTljN2U4MDQtOTM4Zi00MGM4LTliMWYtMmNkYWE1MjEyZmUx
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    pdfAvailable download formats
    Dataset updated
    Jun 26, 2018
    Dataset provided by
    Corp
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    f1f02c20cc5f3acdc90c25b448772f4e5c9241fe
    Description

    Samples from three bores were submitted by the Water Conservation and Irrigation Commission, of New South Wales for micropalaeontological examination namely: 1. Bore No. 8271, K.F. Robinson's "Talyealye" property, 2. Bore no. 8290, J.T. O'Connor's "Shannon" property, Bourke, [and] 3. Bore No. 8302, J.J. Doohan, "Yarralee" property, Wanaaring. A detailed description of the microfaunal content of the samples from these bores is given below.

  19. w

    Micropalaeontological examination of samples from bores in the Great...

    • data.wu.ac.at
    pdf
    Updated Jun 26, 2018
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    Corp (2018). Micropalaeontological examination of samples from bores in the Great Artesian Basin of New South Wales, submitted by the Water Conservation and Irrigation Commission of New South Wales [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NTUzMDk1MDQtYzMwOC00ZjFlLWFmNzAtMjM2MDE5MWY0YjBk
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    pdfAvailable download formats
    Dataset updated
    Jun 26, 2018
    Dataset provided by
    Corp
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    a8560e402ae504eebb13f8a1cc4e2155f7624e52
    Description

    Samples submitted from this bore were taken from the depth of 25 feet down to 475 feet. This report comprises a synopsis of the lithology of the samples after washing, together with notes on the samples.

  20. d

    Aquifer ecology and hydrochemistry of Wellington hydrological research...

    • dataone.org
    • knb.ecoinformatics.org
    • +1more
    Updated Sep 13, 2017
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    Michael Strack (2017). Aquifer ecology and hydrochemistry of Wellington hydrological research station, Australia (2014) [Dataset]. http://doi.org/10.5063/F1DB7ZXZ
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    Dataset updated
    Sep 13, 2017
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    Michael Strack
    Time period covered
    Sep 22, 2014 - Oct 8, 2014
    Area covered
    Description

    Microbiological, hydrogeological and hydrochemical data from single-sampling of groundwater bores (n = 47) and the Macquarie River (n = 1) at the Wellington Research Station, New South Wales, Australia. Samples collected over approximately three weeks in October 2014 as part of my PhD research on aquifer microbial ecology. The purpose of the dataset was to thoroughly characterise the environment and microbial biodiversity and provide a rich dataset for testing a range of ecological hypotheses.

    Data include: bore construction, location and geology; sampling and sample processing records; microbial (Archaea, Bacteria, Fungi and all Eukarya) OTU abundance by TRFLP fingerprinting; water elemental composition; concentrations of various anions; liquid chromatography of organic carbon/nitrogen species; alkalinity; conductivity/salinity; pH; dissolved oxygen; temperature; inorganic nitrogen ions; site and sample photos; and data processing information.

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Bioregional Assessment Program (2017). NSW Groundwater Database (Water Data Transfer Format and Hydstra) [Dataset]. https://researchdata.edu.au/nsw-groundwater-database-format-hydstra/2992543
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NSW Groundwater Database (Water Data Transfer Format and Hydstra)

Explore at:
Dataset updated
Jul 6, 2017
Dataset provided by
Data.govhttps://data.gov/
Authors
Bioregional Assessment Program
License

Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically

Area covered
New South Wales
Description

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.

Hydstra Water Levels 9-6-12

The Hydstra data for NSW Office of Water (NoW) was extracted on 9 June 2012 although the latest water level reading date is April 2012. The Hydstra groundwater database was provided by NoW and was imported into MS Access from the HYDMEAS database file (dbf).

The Hydstra database stores groundwater level information from \~ 11,800 bores. This includes the NSW monitoring network of bores and private bores (eg. Stock bores with a water level reading).

Site information on the bores has not been included as this data is available from the NoW NGIS. The NGIS has been quality checked and should be used for all site data.

The Hydstra data should only be used for bores that are not included in the WDTF.

Of the 4000 extra bores in hydstra, many water level readings have been taken at the time of drilling and many are once off readings. These data have not been validated.

Any information obtained from the Hydstra data should be assessed for its quality prior to inclusion in a Bioregional Assessment.

There is no data dictionary that came with the hydstra data. Groundwater levels are variable 110.

Variable 110 = Depth to groundwater from the measurement point. The measurement point can then be derived from the NGIS which will have an elevation Field = TSRefElev.

Wdtf NoW 19-11-12

Through the Water Regulations, a full extract of NSW monitoring data was provided in WDTF in November 2012, although the latest water level reading date is September 2012.

WDTF was provided for \~7,800 monitoring bores across NSW. This data was extracted from the original WDTF using python scripts, into the MS Access database.

Site information on the bores has not been included as this data is available from the NoW NGIS. The NGIS has been quality checked and should be used for all site data.

The WDTF is provided to the Bureau by NoW as "Validated" data. Therefore, WDTF should be used as the primary source for groundwater level data.

Dataset History

Hydstra Water Levels 9-6-12

The Hydstra data for NSW Office of Water (NoW) was extracted on 9 June 2012 from the NSW corporate groundwater database although the latest water level reading date is April 2012. The Hydstra groundwater database was provided by NoW and was imported into MS Access from the HYDMEAS database file (dbf).

Wdtf NoW 19-11-12

Through the Water Regulations, a full extract of NSW monitoring data was provided in WDTF in November 2012, although the latest water level reading date is September 2012.

Dataset Citation

NSW Office of Water (2012) NSW Groundwater Database (Water Data Transfer Format and Hydstra). Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/75390050-09da-46ad-b342-dbc98982aafd.

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