AndreaBozzo/ceres-open-data-index huggingface dataset:
Smart-Grid Smart-City Customer Trial Data

This data is from the customer trial conducted as part of the Smart Grid Smart City (SGSC) project (2010-2014). It provides one of the few linked sets of customer time of use (half hour increments) and demographic data for Australia, as well as detailed information on appliance use, climate, retail and distributor product offers, and other related factors. The project was jointly funded by the Australian Government and an industry consortium, led by Ausgrid.
Data resources that comprise this Customer Trial Data may be linked by the Customer ID number. Details of data resources for this dataset are listed below and include: electricity use interval readings; home area network plug readings; peak events; peak events response; and offer and acceptance. 
The SGSC project was a commercial scale demonstration of smart grids, their associated technologies and other factors. Information about the project, including final reports, can be found at the archived [Department of Industry, Innovation and Science] website. (http://content.webarchive.nla.gov.au/gov/wayback/20160615043539/http://www.industry.gov.au/Energy/Programmes/SmartGridSmartCity/Pages/default.aspx).


Tags: Electricity, Utilities and Communication, appliance, campaign, control, controlled load, customer, demand response, distribution, dwelling, gas, grid, home area network, household, meter, network, peak event, retail, smart grid, smart meter, solar, tariff, time of use, trial
Organization: Australian Government Department of Climate Change, Energy, the Environment and Water
Australia's River Basins 1997

## **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.



Australia's River Basins 1997 was a joint State and Commonwealth project to create a national spatial database of major hydrologic basins. The data has been derived from topographic maps at scales ranging from 1:10 000 to 1:250 000. These basins are the primary building block for the collection of national hydrologic data and the assessment of water resources.



Australia is divided into drainage divisions. The drainage divisions are sub-divided into water regions, which are in-turn sub-divided into river basins. Statistics are gathered and used at all three levels. 



This database contains boundary information for 12 divisions, 77 regions and 245 basins. It also contains, for each basin, information relating to its individual basin/region/division name and number. State borders are also included in the data. Data for Division XIII Distant Islands Division is not included.



The former Australian Water Resources Council (AWRC) formally defined the drainage divisions and river basins in the early 1960s and, with minor modifications resulting from improved mapping of the inland arid zone area, has been the basis for the study of Australian hydrology since. The drainage divisions were defined by both the major topographic features of the continent and the main climatic zones to give broadly homogenous hydrologic regions. Within the drainage divisions, the river basins are defined by the major watershed lines.

## **Dataset History** 

Data for basin boundaries have been captured by relevant State and Territory authorities from 1:10 000 and 1:250 000 scale source material. 



For full metadata see 'River_Basin_user_guide.pdf'



Further information can be found at http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_42343

## **Dataset Citation** 

Geoscience Australia (1997) Australia's River Basins 1997. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/d4561e86-2d13-4dcb-bf9e-aae75ba4850c.

Tags: Australia, Cooper subregion, Hunter subregion, Namoi subregion, Sydney Basin bioregion, inlandWaters
Organization: Bioregional Assessment Program
MBC Surat UWIR Condamine alluvium extent

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. 



This layer defines the extent of the OGIA groundwater model flow boundary for the Condamine Alluvium. It is the shallowest of the 19 groundwater model layers that were as devised for the model.



This dataset describes the extent of the central Condamine Alluvium Groundwater models produced by KCBL for Department of Environment and Resource Management in 2011.



The layer number within the QWC regional groundwater flow model for the Surat and southern Bowen Basin, produced for the Underground Water Impact Report on the Surat Cumulative Management area.

## **Purpose** 

This dataset was developed to describe the extent of the central Condamine Alluvium Groundwater model. The purpose of this layer is to define the model extent for the Bungil Formation and the Mooga Sandstone as represented in a number of Bioregional Assessment products for the MBC subregion.

## **Dataset History** 

This dataset describes the extent of the central Condamine Alluvium Groundwater models produced by KCBL for Department of Environment and Resource Management in 2011.

## **Dataset Citation** 

Queensland Office of Groundwater Impact Assessment (2012) MBC Surat UWIR Condamine alluvium extent. Bioregional Assessment Source Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/687347f8-90ed-444a-aa4e-560bbd79561d.

Tags: Maranoa-Balonne-Condamine subregion, boundaries, geoscientificInformation
Organization: Bioregional Assessment Program
Namoi hydraulic conductivity measurements

## **Abstract** 

This dataset was compiled by the Bioregional Assessment Programme from a range of sources listed in a spreadsheet in the dataset. 



This dataset contains a spreadsheet with all the values of the hydraulic properties of the layers in the Namoi subregion that could be found through a review of the field and model reports.

## **Purpose** 

This dataset is needed to provide guidance on the bounds of the hydraulic properties used in the groundwater modelling.

## **Dataset History** 

This dataset is a collation of literature values of measured and modelled hydraulic properties of the layers in the Namoi subregion. The source reports for the data are listed in the spreadsheet.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) Namoi hydraulic conductivity measurements. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/5f88517d-8154-411d-907f-4e2c2d12a912.

Tags: Namoi subregion, New South Wales, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
Depth to Phreatic Groundwater - ARC

## **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.

Representation of a fully connected and directed stream network in raster format.

## **Purpose** 

The stream network and catchment boundaries contained within the database form foundation elements of the Bureau of Meteorologyâs Australian Hydrological Geofabric, the spatial framework that underpins the Australian Water Resources Information System (AWRIS).

## **Dataset History** 

It is built upon the representation of surface drainage patterns provided by the GEODATA national 9 second Digital Elevation Model (DEM) Version 3 (ANU Fenner School of Environment and Society and Geoscience Australia, 2008).

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Depth to Phreatic Groundwater - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/c86a7990-c17d-4c58-bf25-54de135d7cf3.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
NAM GCM ranking

## **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. 



A table showing GCM (Global climate models) rankings for the Namoi subregion.

## **Purpose** 

The ranking of GCM was created to select the model that produced median changes in precipitation. The selected model was used to predict future rainfall for the years 2013 to 2102.

## **Dataset History** 

A total of 15 global climate model (GCM) was tested to identify the best GCM to predict future climate data for the Namoi subregion. The objective in developing a future climate series was to choose the set of GCM's seasonal scaling factors that give the median change in mean annual precipitation. Four seasonal scaling factors for the seasons: summer (December-February), autumn (March-May), winter (June-August) and spring (September-November) were used to predict changes in precipitation in the Namoi subregion under future climate. For each GCM the change in mean seasonal precipitation for 1 degree global warming was calculated. These seasonal changes were summed to get the change in mean annual precipitation. Based on resulting changes in mean annual precipitation for a 1 degree global warming the GCMs were ranked in ascending order. The GCM that produced median change in annual mean precipitation was selected to predict the future precipitation in the Namoi subregion for the years 2013 to 2102.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) NAM GCM ranking. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/1dcf1b27-9a58-47ed-ac20-3b988391ea84.

## **Dataset Ancestors** 

* **Derived From** [SEACI GCM scaling](https://data.gov.au/data/dataset/bde1e7b7-5bb3-483c-8616-c4176fde8818)



Tags: Namoi subregion, New South Wales, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Combined Surface Waterbodies for the Clarence-Moreton bioregion

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.



This dataset merges hydrological water bodies from geofabric (AHGFWaterbody feature class) and from the Queensland Wetland System dataset, for the Clarence-Moreton preliminary assessment extent.

## **Purpose** 

This dataset is one of the base input datasets used in the land classification process for the Clarence-Moreton Bioregion, used to define waterbodies. Refer ( (hydrology). Refer to Product 2.3 for details about the land classification process.

## **Dataset History** 

This dataset was created by unioning hydrological water bodies from geofabric (AHGFWaterbody feature class) and the Queensland Wetland System dataset, for the Clarence-Moreton preliminary assessment extent.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Combined Surface Waterbodies for the Clarence-Moreton bioregion. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/9ff7ab58-2e30-4268-bdf3-bc8aa72aa940.

## **Dataset Ancestors** 

* **Derived From** [Queensland wetland data version 3 - wetland areas.](https://data.gov.au/data/dataset/2a187a00-b01e-4097-9ca4-c9683e7f4786)

* **Derived From** [Queensland wetland data version 3 - wetland areas - WETCLASS: E, L, M, P, R](https://data.gov.au/data/dataset/421fa3ce-36c6-4932-8ec7-2b9bf78acf63)

* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)



Tags: Clarence-Moreton bioregion, environment, inlandWaters
Organization: Bioregional Assessment Program
Australian 0.05&#xBA; gridded chloride deposition v2

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.



Grid surfaces at a resolution of 0.05&#xB0; x 0.05&#xB0; showing the chloride deposition rate (kg/ha/year) across Australia based upon distance from the coast. The dataset and the derivative 95% confidence interval for upper and lower datasets is made available as ArcInfo ASCII Grid format.



This revised version includes the uncertainty in the chloride deposition rate surface quantified using the mean, standard deviation and skewness (grids included).

## **Purpose** 

Has a number of applications. Including atmospheric chemistry and as input in determination of groundwater recharge using the chloride mass balance (CMB) technique.

## **Dataset History** 

The chloride deposition rate dataset is developed from 291 field observations of chloride in rainfall across Australia spanning a period of 75 years. These point data were interpolating to a gridded surface at a resolution of 0.05&#xB0; x 0.05&#xB0; using a four parameter function derived by Keywood et al. (1997) and a pilot point regularisation approach within PEST (Doherty, 2005). The uncertainty in the chloride deposition rate surface was quantified using the mean, standard deviation and skewness derived from null-space Monte Carlo analysis (Tonkin and Doherty, 2009) of 791 equally well-calibrated models.

## **Dataset Citation** 

CSIRO (2014) Australian 0.05Âº gridded chloride deposition v2. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/c1649bd7-227f-41ff-9964-b55479bef640.

Tags: Australia, Clarence-Moreton bioregion, Galilee subregion, Hunter subregion, Namoi subregion, Sydney Basin bioregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Billa Kalina Sub-basin Faults - ARC

## **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.

A compilation of lineaments that have previously been interpreted as faults located in the vicinity of the south-east corner of the Arckaringa Basin. More specifically, the faults described in the layer are the Billa Kalina Fault and the Boorthanna Fault.

## **Purpose** 

To aid in geological exploration.

## **Dataset History** 

Features were originally presented as part of the Tectonic Sketch portion of the 1:250,000 Geological Map Sheets published by the Geological Survey of South Australia.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Billa Kalina Sub-basin Faults - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/f9f2f062-62cf-4956-b4d0-bfebb34e7ee2.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Hunter Groundwater Model extent

## **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. 



Spatial lateral extent of the Hunter Groundwater model area.



Dataset includes two  shapefiles.



1) a polygon layer of the GW model extent and;

2) a point shapefile of the boundary vertices.



There is also a comma delimited text file of the vertices x, y co-ordinates for use in Groundwater modelling software.

## **Dataset History** 

Model extent was discussed at the Groundwater team 18 and 19 June workshop in Adelaide from which the following was derived.



1.2.2	LATERAL BOUNDARIES

1)	The South Sydney basin will not be included in the Hunter groundwater model although it is the lateral continuation of the Sydney basin. Laterally extending the model is not possible due to data, timing and resources constraints.

2)	Eastern boundary: Hunter-Mooki Fault 

a)	no flow boundary

b)	to check if any relevant alluvium / water table aquifer extends beyond Hunter-Mooki fault

3)	Northern boundary: Coricudgy anticline separating Sydney basin from Gunnedah basin

a)	no flow boundary => to be tested if zone of impact does not reach boundary

4)	Southern boundary: \~100 km off-shore

a)	no flow boundary

5)	Western boundary: arbitrary buffer W of the line Ulan-Gosford

a)	general head boundary



The northwestern, northern and eastern boundaries coincide with the Sydney Coal Basin boundary as these sections coincide with the Coricudgy anticline and the Hunter-Mooki Thrust Fault. The northeastern corner of the Groundwater model extent also takes in a small discontiguous section, which is attributed as part of the Gunnedah Basin in the source layer but is actually the Werrie Basin.



The southwestern boundary of the Groundwater model extent runs arbitrarily in a line parallel to and approximately 25km south west of the line between the townships of Ulan and Gosford.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) Hunter Groundwater Model extent. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/6d4a8c97-f7ea-4840-9de9-af6f7b18b8d6.

## **Dataset Ancestors** 

* **Derived From** [Australian Coal Basins](https://data.gov.au/data/dataset/9d5a8d74-a201-42bd-9d49-3c392244be16)



Tags: Hunter subregion, New South Wales, environment, geoscientificInformation
Organization: Bioregional Assessment Program
Namoi Surface Water Gauging Data

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.



The New South Wales Office of Water (NOW) provides to the Bureau of Meteorology a copy of their hydstra surface water database. The last extract was received in February 2012. 

Data was extracted from the Hydstra format to .csv files for surface water sites within the Namoi River Basin. 

This included Average: 

Daily discharge in ML/day from 9am-9am

Temperature

EC

Turbidity

Site details including locational information is contained in the 'Namoi Site Details.xls' file

Explanation of variables are contained in the 'Variable Explanation.txt' file.

## **Purpose** 

The Namoi SW data was extracted from hydstra for the purpose of the Bioregional Assessments project.

## **Dataset History** 

The New South Wales Office of Water (NOW) provides to the Bureau of Meteorology a copy of their hydstra surface water database. The last extract was received in February 2012. 

Data was extracted from the Hydstra format to .csv files for surface water sites within the Namoi River Basin. 

This included Average: 

Daily discharge in ML/day from 9am-9am

Temperature

EC

Turbidity

Site details including locational information is contained in the 'Namoi Site Details.xls' file

Explanation of variables are contained in the 'Variable Explanation.txt' file.

## **Dataset Citation** 

NSW Office of Water (2013) Namoi Surface Water Gauging Data. Bioregional Assessment Source Dataset. Viewed 02 May 2016, http://data.bioregionalassessments.gov.au/dataset/e82d011c-f314-4867-ae3a-31bbf342818c.

Tags: Namoi subregion, New South Wales, inlandWaters
Organization: Bioregional Assessment Program
Gippsland flood extent for significant event 201203

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme the Victorian flood database. The parent dataset(s) is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.



This dataset comprises a subset of the full Victorian Flood database separated on the specific year and month of the event in the Gippsland region. This package of data contains flood extent of the flood in March 2012 (201203). It may include both modelled and observed data.

## **Purpose** 

Victoria Flood Database is a collection of observed and modelled flood information. It is used for risk assessment, strategic planning and emergency response. The Extent_100y_ARI and Floodway layers are used to develop flood-specific zones and overlays in the Municipal Planning Schemes. This collective data forms the basis for web-based interactive flood response mapping tool known as FLOODMAP.

## **Dataset History** 

Data has initially been drawn from authoritative sources through the digitisation project in 1998/1999 known as the Flood Data Transfer Project. Detail is primarily aligned to varying versions of Vicmap and other assorted data. Recent flood studies are largely based on high resolution DEMs, while some rural areas were mapped from oblique photography and 'best estimate' principles by floodplain managers. Positional accuracy of all content, although accepted as meeting a reasonable level of alignment, cannot therefore be accurately stated. An reliability and modified date attribute is given for every feature in the VFD. Users must therefore read the reliability attribute of any given feature in order to determine whether it is fit for purpose.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Gippsland flood extent for significant event 201203. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/d5020797-afbd-4ebb-b9f2-6a17780feab1.

## **Dataset Ancestors** 

* **Derived From** [Victoria - 1 in 100 Year Flood Extent](https://data.gov.au/data/dataset/6e59ed35-3fde-48e3-8135-eb05263ce4aa)



Tags: Gippsland Basin bioregion, Victoria, climatologyMeteorologyAtmosphere, inlandWaters
Organization: Bioregional Assessment Program