AndreaBozzo/ceres-open-data-index huggingface dataset:
SLWA Commonwealth Games photographs

Photographs from the SLWA collection featuring the Commonwealth Games.  Most if not all of the photographs are from the 1962 games held in Western Australia.  Photographs include opening and closing ceremonies, athletes receiving medals and action shots from the event.

The datasets include links to the images.

Tags: Beatty Park Aquatic Centre, Commonwealth games, Perry Lakes Stadium, athletics, historical photographs, photographs, sports
Organization: State Library of Western Australia
WABI subset: Eastern Goldfields

This index has been compiled by Mrs T. Thompson of Kalgoorlie from the following cemeteries and cemetery records:

* Old Boulder - Anglican Section of the Cemetery Board Register 224 names
* Headstones all denominations 41 names
* Roman Catholic 189 names
* Baptist 12 names
* Presbyterian 69 names
* Church of Christ 9 names
* General 6 names
* Methodist section 290 names
* Bulong Headstones 19 names
* Kanowna Cemetery Board Register
* Ora Banda Cemetery
* Siberia Cemetery.

Entry into the index is by name of person being buried and information given is what appears on the headstone or what is transcribed in the burial register. This can include age; relatives eg: parents, wives, husbands, children; date of death, where lived (from headstone) plus denomination, Officiating clergyman, date of burial, name of Undertaker, residence of friends (if known), remarks (if any), grave number section and subsection (from Register).

The Western Australian Biographical Index (WABI) is a highly used resource at the State Library of Western Australia. A recent generous contribution by the Friends of Battye Library (FOBS) has enabled SLWA to have the original handwritten index cards scanned and later transcribed.

The dataset contains: a csv file with data describing card number, card text and url link to image of the original handwritten card.

The transcription was crowd-sourced and we are aware that there are some data quality issues including:

* Some cards are missing
* Transcripts are crowdsourced so may contain spelling errors and possibly missing information
* Some cards are crossed out. Some of these are included in the collection and some are not
* Some of the cards contain relevant information on the back (usually children of the person mentioned). This info should be on the next consecutive card
* As the information is an index, collected in the 1970s from print material, it is incomplete. It is also unreferenced.

It is still a very valuable dataset as it contains a wealth of information about early settlers in Western Australia. It is of particular interest to genealogists and historians

Tags: Australian History excl Aboriginal and Torres Strait Islander History, Society, boulder, burials, cemetery registers, epitaph, gravestones, kanowna
Organization: State Library of Western Australia
WABI subset: York

1859 York district Census. Entry is by name of person, Place of occupation, age, religion, occupation, literacy, arrival ship and date. Details of marriage, wife and children and employer are given.

The Western Australian Biographical Index (WABI) is a highly used resource at the State Library of Western Australia. A recent generous contribution by the Friends of Battye Library (FOBS) has enabled SLWA to have the original handwritten index cards scanned and later transcribed.

The dataset contains: several csv files with data describing card number, card text and url link to image of the original handwritten card. The transcription was crowd-sourced and we are aware that there are some data quality issues including:

* Some cards are missing
* Transcripts are crowdsourced so may contain spelling errors and possibly missing information
* Some cards are crossed out. Some of these are included in the collection and some are not
* Some of the cards contain relevant information on the back (usually children of the person mentioned). This info should be on the next consecutive card
* As the information is an index, collected in the 1970s from print material, it is incomplete. It is also unreferenced.
It is still a very valuable dataset as it contains a wealth of information about early settlers in Western Australia. It is of particular interest to genealogists and historians

Tags: Australian History excl Aboriginal and Torres Strait Islander History, Society, avon valley, births, census, deaths, marriages, toodyay, york
Organization: State Library of Western Australia
Interphone Pty Ltd - Kishorn Apartments Applecross WA - Anticipatory notice February 2021 (now declared)

Statutory Infrastructure Provider (SIP) - Interphone Anticipatory Notice – Kishorn Apartments.

Anticipatory notice given 9 February 2021 and the associated project area data for a contract to provide telecommunications network infrastructure.

Project area: Kishorn Apartments, Applecross WA 6153

Contract date: 5 February 2021

Infrastructure to be installed: FTTP - Fibre to the premises

Estimated completion date: 30 April 2021

Tags: SIP, Utilities and Communication, broadband, interphone, statutory infrastructure provider, telecommunications
Organization: SIP Register - Interphone Pty Ltd
[Superseded] Intellectual Property Government Open Data 2019

# What is IPGOD?
The Intellectual Property Government Open Data (IPGOD) includes over 100 years of registry data on all intellectual property (IP) rights administered by IP Australia. It also has derived information about the applicants who filed these IP rights, to allow for research and analysis at the regional, business and individual level. This is the 2019 release of IPGOD.


# How do I use IPGOD?
IPGOD is large, with millions of data points across up to 40 tables, making them too large to open with Microsoft Excel. Furthermore, analysis often requires information from separate tables which would need specialised software for merging. We recommend that advanced users interact with the IPGOD data using the right tools with enough memory and compute power. This includes a wide range of programming and statistical software such as Tableau, Power BI, Stata, SAS, R, Python, and Scalar.


# IP Data Platform
IP Australia is also providing free trials to a cloud-based analytics platform with the capabilities to enable working with large intellectual property datasets, such as the IPGOD, through the web browser, without any installation of software. [IP Data Platform](https://www.ipdataplatform.com)

# References

The following pages can help you gain the understanding of the intellectual property administration and processes in Australia to help your analysis on the dataset.

* [Patents](https://www.ipaustralia.gov.au/patents/)
* [Trade Marks](https://www.ipaustralia.gov.au/trade-marks/)
* [Designs](https://www.ipaustralia.gov.au/designs/)
* [Plant Breeder’s Rights](https://www.ipaustralia.gov.au/plant-breeders-rights/)


# Updates

### Tables and columns

Due to the changes in our systems, some tables have been affected.

* We have added IPGOD 225 and IPGOD 325 to the dataset!
* The IPGOD 206 table is not available this year.
* Many tables have been re-built, and as a result may have different columns or different possible values. Please check the data dictionary for each table before use.

### Data quality improvements

Data quality has been improved across all tables.

* Null values are simply empty rather than '31/12/9999'.
* All date columns are now in ISO format 'yyyy-mm-dd'.
* All indicator columns have been converted to Boolean data type (True/False) rather than Yes/No, Y/N, or 1/0.
* All tables are encoded in UTF-8.
* All tables use the backslash \ as the escape character.
* The applicant name cleaning and matching algorithms have been updated. We believe that this year's method improves the accuracy of the matches. Please note that the "ipa_id" generated in IPGOD 2019 will not match with those in previous releases of IPGOD.

Tags: Design, Designs, IP, IP Australia, IPGOD, IPGOD2019, Innovation, Intellectual Property, Intellectual Property Government Open Data, PBR, Patent, Patents, Trade mark, Trade marks, Trademark, Trademarks, ipgod, ipgod2019, patent, patents, pbr, plant breeders right, plant breeders rights, trade mark, trade marks, trademark, trademarks
Organization: IP Australia
[Superceded] Intellectual Property Government Open Data 2018

The Intellectual Property Government Open Data (IPGOD) includes over 100 years of registry data on all intellectual property (IP) rights administered by IP Australia. It also has derived information about the applicants who filed these IP rights, to allow for research and analysis at the regional, business and individual level. This is the second edition of the IPGOD 2018 data release with additional data items and significant improvements to data quality.

Tags: IP Australia, design, intellectual property, patent, plant breeders right, trademark
Organization: IP Australia
WABI Subset: Police

This index was compiled by Miss Mollie Bentley from various records she has used relating to the police. These include: Almanac listings, Colonial Secretary's Office Records, Police Gazettes, various police department occurrence books and letter books, police journals, government gazettes, estimates, York police records etc.

Entry is by name of policeman. Information given varies but is usually about appointments, promotions, retirements, transfers etc.

The Western Australian Biographical Index (WABI) is a highly used resource at the State Library of Western Australia. A recent generous contribution by the Friends of Battye Library (FOBS) has enabled SLWA to have the original handwritten index cards scanned and later transcribed.

The dataset contains: several csv files with data describing card number, card text and url link to image of the original handwritten card.

The transcription was crowd-sourced and we are aware that there are some data quality issues including:

* Some cards are missing
* Transcripts are crowdsourced so may contain spelling errors and possibly missing information
* Some cards are crossed out. Some of these are included in the collection and some are not
* Some of the cards contain relevant information on the back (usually children of the person mentioned). This info should be on the next consecutive card
* As the information is an index, collected in the 1970s from print material, it is incomplete. It is also unreferenced.
It is still a very valuable dataset as it contains a wealth of information about early settlers in Western Australia. It is of particular interest to genealogists and historians.

Tags: Australian History excl Aboriginal and Torres Strait Islander History, Society, police officers
Organization: State Library of Western Australia
2021 SoE Biodiversity Change in mean fire size across land tenure types within tropical savanna in Northern Australia.  Black dashed line represents average trend across tenures.  Vertical dashed line represents the commencement of the savanna burning methodology in 2012.

This data was used by the Department of Agriculture, Water and Environment to produce Figure 26 in the Biodiversity chapter of Australia State of the Environment 2021

Tags: 2021 SoE, Biodiversity
Organization: State of the Environment
2021 SoE Biodiversity Threatened mammal index for Australia to 2018 with baseline from 2000 for all threatened species at sites where there has been no known management; at sites where there is known management of any kind; at sites without introduced predators including fenced areas and islands

This data was used by the Department of Agriculture, Water and Environment to produce Figure 13 in the Biodiversity chapter of Australia State of the Environment 2021

Tags: 2021 SoE, Biodiversity
Organization: State of the Environment
WWI Centenary Project

To mark the centenary of World War I, the State Library is in the process of digitising material relating to this conflict. Items include photographs, books, letters, diaries, greeting cards and more.  

Replaced in July 2016 - more new digitised materials from the WWI Centenary Project.

Tags: Australian History excl Aboriginal and Torres Strait Islander History, Society, diaries, historical photographs, letters, western australia, world war 1
Organization: State Library of Western Australia
Phreatic Reduced Standing Water Level Contours at 10m and 20m Intervals - 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.

Contours at 10m and 20m intervals of the RSWL depths to the phreatic groundwater zone.

## **Purpose** 

To represent RSWL depths to the phreatic groundwater zone using contours at 10m and 20m intervals.

## **Dataset History** 

Derived from subtracting an image file developed using Inverse Distance Weighting Algorithm and dem-9s1.img.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Phreatic Reduced Standing Water Level Contours at 10m and 20m Intervals - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/487c8efc-2939-446f-a450-24e399ef9211.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Western Australian Newspapers 1830 -

Nearly 900 Western Australian newspaper titles are held by the State Library. These range from the manuscript newspapers of the early 1830s up to currently published titles.

Selected Western Australian newspaper titles are available digitally through Trove, a service provided by National Library of Australia in partnership with state libraries, including the State Library of Western Australia. Currently, there are 110 Western Australian newspaper titles available.

This file includes the title, dates of publication, other titles (former and later) area of publication and some notes about individual publications.

Tags: Society, Utilities and Communication, newspapers
Organization: State Library of Western Australia
SEACI GCM scaling

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.



The scaling factors used as input to SEACI (South-eastern Australia climate initiative) future hydroclimate projections.

## **Dataset History** 

See report: Post, David; Chiew, Francis; Hendon, Harry; Timbal, Bertrand (2012): South Eastern Australian Climate Initiative future hydroclimate projections. v2. CSIRO. Data Collection. http://doi.org/10.4225/08/5702FC8181B52

## **Dataset Citation** 

CSIRO (2016) SEACI GCM scaling. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/bde1e7b7-5bb3-483c-8616-c4176fde8818.

Tags: Clarence-Moreton bioregion, Gloucester subregion, Hunter subregion, Namoi subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Cartographic masks for map products NAM 150

## **Abstract** 

This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.



Cartographic masks for map products NAM 150, used for clear annotation and masking unwanted features from report maps.

## **Dataset History** 

Masks created using the 'Features Outline Masks (Cartography)' tool on annotation layers (labels) within ArcMap.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Cartographic masks for map products NAM 150. Bioregional Assessment Source Dataset. Viewed 02 May 2016, http://data.bioregionalassessments.gov.au/dataset/fd9dbf9c-5eb5-4646-bef5-8ebd23cfa8ba.

Tags: Namoi subregion, New South Wales, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
Localities - 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.

Point cover of place name locations for South Australia.

## **Purpose** 

As an anno-text layer for addition to mapping production.

## **Dataset History** 

Generated within DWLBC in early 2000s for topographic purposes. Selected from Topo.Gazetteer which was originally derived by reference to topographic maps, explorers journals and other historical documentation.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Localities - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/926d4b7a-3ca9-4acf-af56-e9fc77a3faa4.

Tags: Arckaringa subregion, location
Organization: Bioregional Assessment Program
Lands & Surveys Historic Map Series Western Australia

    

Bibliographic data and links to persistent URL of Lands & Surveys Western
Australian Historic Map Series of the 1880-1890s, showing State Land
Divisions, pastoral leases with number, lessee, area, boundary length,
location numbers, tracks, roads and their gazettal date.



Tags: Cartography, Planning and Cadastre, historicaldata, libraryhack2011, nationalandstatelibrariesaustralasia
Organization: State Library of Western Australia
National Forest and Sparse Woody Vegetation Data (Version 3, 2018 Release)

Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from 1988 to 2018. A forest is defined as woody vegetation with a minimum 20 per cent canopy cover, potentially reaching 2 metres high and a minimum area of 0.2 hectares. Sparse woody is defined as woody vegetation with a canopy cover between 5-19 per cent.

The three-class classification (forest, sparse woody and non-woody) supersedes the two class classification (forest and non-forest) from 2016. The new classification is produced using the same approach in terms of time series processing (conditional probability networks) as the two-class method, to detect woody vegetation cover. The three-class algorithm better encompasses the different types of woody vegetation across the Australian landscape.


Tags: Environment, Environmental Monitoring, Forest cover, Land cover, National GHG Inventory, Remote Sensing
Organization: Australian Government Department of Climate Change, Energy, the Environment and Water
National Forest and Sparse Woody Vegetation Data (Version 4, 2019 Release)

Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from 1988 to 2019. A forest is defined as woody vegetation with a minimum 20 per cent canopy cover, at least 2 metres high and a minimum area of 0.2 hectares. Sparse woody is defined as woody vegetation with a canopy cover between 5-19 per cent.

The three-class classification (forest, sparse woody and non-woody) supersedes the two-class classification (forest and non-forest) from 2016. The new classification is produced using the same approach in terms of time series processing (conditional probability networks) as the two-class method, to detect woody vegetation cover. The three-class algorithm better encompasses the different types of woody vegetation across the Australian landscape.

Tags: Environment, Environmental Monitoring, forest cover, land cover, national GHG inventory, remote sensing
Organization: Australian Government Department of Climate Change, Energy, the Environment and Water
HUN AWRA-R model boundary v05

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from HUN AWRA-R calibration catchments v01. 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. 



The data are a shapefile representing the AWRA-R model boundary for the Hunter subregion. The dataset was created by dissolving all internal boundaries.

## **Dataset History** 

The dataset was created by dissolving all internal boundaries of the source shapefile.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) HUN AWRA-R model boundary v05. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/a13c3739-e23a-4231-bf68-baf5862afa35.

## **Dataset Ancestors** 

* **Derived From** [Gippsland Project boundary](https://data.gov.au/data/dataset/27413de5-d13a-4231-ac79-fc77f4cbb5f7)

* **Derived From** [HUN AWRA-R calibration nodes v01](https://data.gov.au/data/dataset/f2da394a-3d08-4cf4-8c24-bf7751ea06a1)

* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)

* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)

* **Derived From** [Victoria - Seamless Geology 2014](https://data.gov.au/data/dataset/2872d02e-66cb-42b6-9e5a-63abc8ad871b)

* **Derived From** [HUN AWRA-R calibration catchments v01](https://data.gov.au/data/dataset/d419aae0-1cb3-48a8-82de-941398a80e3a)

* **Derived From** [Bioregional Assessment areas v05](https://data.gov.au/data/dataset/25f89049-839d-4736-bd81-97d8e8a40f8e)

* **Derived From** [National Surface Water sites Hydstra](https://data.gov.au/data/dataset/f7edc5e5-93ee-4527-bed5-a118b4017623)

* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)

* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)

* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)

* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)

* **Derived From** [NSW Catchment Management Authority Boundaries   20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)

* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)

* **Derived From** [Bioregional Assessment areas v04](https://data.gov.au/data/dataset/e8a2d577-c5c5-4e2c-b0fa-53e4b2d4a034)

* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)



Tags: BOUNDARIES-Biophysical, Hunter subregion, New South Wales, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program