READ is EPA's authoritative source for information about Agency information resources, including applications/systems, datasets and models. READ is one component of the System of Registries (SoR).

This data set shows all the sources recorded in the source register of North Rhine-Westphalia - independently managed by five institutions - or their sampling points based on the state's water stationing map (gsk3c). The attribute table provides information about the number, the location and the data holders of all within one Source surface represented objects and identifies the reference source. Sources from GeoBasis NRW - i.e. from the state survey - are always reference sources. All objects recorded within a radius of 10 m around the reference source are brought together under a source NRW_ID. Overlapping radii are combined to form a larger coherent headwaters. If there is no reference source from Geobasis NRW in an area, the source closest to the centroid represents the reference source.

This dataset includes over 2000 images of shipwrecks and shipwreck relics which provides a unique insight into the State's maritime history. In addition to the images the dataset includes an extract from the South Australian Register of Historic Shipwrecks. The database includes all known shipwrecks located in South Australian and Australian waters adjacent to South Australia. It includes information pertaining to Historic Shipwreck and Historic Relics as described under the (Commonwealth) Historic Shipwrecks Act 1976 and the (South Australian) Historic Shipwrecks Act 1981. The dataset includes shipwrecks that have not yet been declared under either of these Acts. Filtering may take place to restrict the location of sensitive shipwrecks where condition assessments are pending. The Maritime Register (XML) contains the image URL which can be matched to the image name. The register also includes the shipwreck name, historical background, description of the relic, location of the shipwreck and other details. See also: https://data.sa.gov.au/data/dataset/shipwrecks

Company Records. Published by Companies Registration Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This dataset provides a structured and machine-readable register of all companies recorded by the Companies Registration Office (CRO) in Ireland. It includes a daily snapshot of company records, covering both currently registered companies and historical records of dissolved or closed entities. The dataset aligns with the European Union’s Open Data Directive (Directive (EU) 2019/1024) and the Implementing Regulation (EU) 2023/138, which designates company and company ownership data as a high-value dataset. Updated daily, it ensures timely access to corporate information and is available for bulk download and API access under the Creative Commons Attribution 4.0 (CC BY 4.0) licence, allowing unrestricted reuse with appropriate attribution. By increasing transparency, accountability, and economic innovation, this dataset supports public sector initiatives, research, and digital services development....

Update March 2025

From 25 March 2025, the dataset update frequency has change from monthly to weekly every Tuesday.

Update April 2022

We have replaced the .xlsx file resources for all our datasets. This was required due to the API and web page search functionality no longer being supported for .xlsx files on the Data.Gov platform.

Dataset summary

ASIC is Australia’s corporate, markets and financial services regulator. ASIC contributes to Australia’s economic reputation and wellbeing by ensuring that Australia's financial markets are fair and transparent, and supported by confident and informed investors and consumers.

The Banned and Disqualified Persons Dataset file on data.gov.au is extracted from ASIC's Banned and Disqualified Registers. This dataset is a point in time snapshot of the Banned and Disqualified Persons Register data. The dataset provides information on persons that are:

• disqualified from involvement in the management of a corporation
• disqualified from auditing Self-Managed Superannuation Funds (SMSFs) and
• banned from practising in the Australian Financial Services (AFS) or credit industry.

It also provides information about persons that have been:

• banned from the AFS or credit industry and
• banned from the credit industry by a state or territory.

Information provided in this search is taken from the following registers:

• disqualified persons register
• credit banned/disqualified persons register
• AFS banned/disqualified persons register
• banned securities representatives register (pre-AFS licences)
• banned futures representatives register (pre-AFS licences).

Selected data from the registers will be uploaded each week to www.data.gov.au. The data made available will be a snapshot of the register at a point in time. Legislation prescribes the type of information ASIC is allowed to disclose to the public.

There may be multiple instances of identical or similar names in the dataset, with slight differences in address, place of birth, and other details. The data is recorded as it was reported to ASIC and we cannot confirm if these similar records are/are not the same person.

The information in the downloadable dataset includes:

• Register name
• Banned and Disqualified Persons Name
• Banned and Disqualified Persons Type
• Banned and Disqualified Persons Document Number
• Banned and Disqualified Persons Start Date
• Banned and Disqualified Persons End Date
• Banned and Disqualified Persons Address Locality
• Banned and Disqualified Persons Address State
• Banned and Disqualified Persons Address Post Code
• Banned and Disqualified Persons Address Country
• Banned and Disqualified Persons Comments

Additional information about Banned and Disqualified Persons can be found via ASIC's website. To view some information you may be charged a fee.

More information about searching ASIC's registers.

NOTE: This dataset is updated weekly. Please ensure that you use the most up-to-date version.

The Australian Charities and Not-for-profits Commission (ACNC) is the national regulator of charities in Australia.

Since 3 December 2012, charities wanting to access Commonwealth charity tax concessions (and other benefits), need to register with the ACNC. Although many charities choose to register, registration with the ACNC is voluntary.

The ACNC maintains a register (known as the Charity Register), which contains information about charities. This dataset is a subset of the information available on the Charity Register.

Additional information for each charity (including governing documents and names of any Responsible Persons) can be found by searching the Charity Register at acnc.gov.au/charity.

In some situations, charities can apply to have some or all of their information withheld from the Charity Register. If the ACNC has approved for the information to be withheld, it won’t appear on the Charity Register, or in this dataset.

Each year, charities also lodge Annual Information Statements with the ACNC. These record further information about charities’ purposes, activities and operations for the year - the ACNC publishes datasets for each Annual Information Statement.

PLEASE NOTE: It is possible that some information in this dataset might be subject to a future request by the charity to have their information withheld, but will still appear in the dataset until the next update. Please consider this risk when using this dataset.

Please use the attached explanatory notes to help with analysis of this dataset.

Introduced (non-native) species that become established may eventually become invasive, so tracking introduced species provides a baseline for effective modeling of species trends and interactions, geospatially and temporally. The United States Register of Introduced and Invasive Species (US-RIIS, https://doi.org/10.5066/P95XL09Q), as of 2021-11-08, is comprised of three lists, for the localities of Alaska (AK, with 532 records), Hawaii (HI, with 6,075 records), and the conterminous United States (L48, with 8,657 records). Each includes introduced (non-native), established (reproducing) taxa that: are, or may become, invasive (harmful) in the locality; are not known to be harmful there; and/or have been used for biological control in the locality. To be included in the US-RIIS, a taxon must be non-native everywhere in the locality and established (reproducing) anywhere in the locality. Native pest species are not included. Each record has information on taxonomy, dates of introduction (where available; currently for 38% of the records), invasion status (invasive or introduced), and citations for the authoritative sources from which this information is drawn. The US-RIIS builds on a previous dataset, A Comprehensive List of Non-Native Species Established in Three Major Regions of the U.S.: Version 3.0 (Simpson et al., 2020, https://doi.org/10.5066/p9e5k160). There are 15,264 records in the master list and 12,981 unique names. The list is derived from 5,951 authoritative sources, was reviewed by or based on input from 30 invasive species scientists, and continues to be updated. Publication of version 2.0 of the US-RIIS is anticipated (but not guaranteed) in approximately 12 months.

Abstract

The public version of this Asset database can be accessed via the following dataset:

Asset database for the Cooper subregion on 27 August 2015 Public (526707e0-9d32-47de-a198-9c8f35761a7e)

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 asset database for Cooper subregion (v3) supersedes previous version (v2) of the Cooper Asset database (Asset database for the Cooper subregion on 14 August 2015, 5c3697e6-8077-4de7-b674-e0dfc33b570c). The M2_Reason in the Assetlist table and DecisionBrief in the AssetDecisions table have been updated with short descriptions (<255 characters) provided by project team 21/8, and the draft "water-dependent asset register and asset list" (BA-LEB-COO-130-WaterDependentAssetRegister-AssetList-V20150827) also updated accordingly. This change was made to avoid truncation in the brief reasons fields of the database and asset register. There have been no changes to assets or asset numbers.

This dataset contains a combination of spatial and non-spatial (attribute) components of the Cooper subregion Asset List - an mdb file (readable as an MS Access database or as an ESRI personal geodatabase) holds the non-spatial tabular attribute data, and an ESRI file geodatabase contains the spatial data layers, which are attributed only with unique identifiers ("AID" for assets, and "ElementID" for elements). The dataset also contains an update of the draft "Water-dependent asset register and asset list" spreadsheet (BA-NIC-COO-130-WaterDependentAssetRegister-AssetList-V20150827.xlsx).

The tabular attribute data can be joined in a GIS to the "Assetlist" table in the mdb database using the "AID" field to view asset attributes (BA attribution). To view the more detailed attribution at the element-level, the intermediate table "Element_to_asset" can be joined to the assets spatial datasets using AID, and then joining the individual attribute tables from the Access database using the common "ElementID" fields. Alternatively, the spatial feature layers representing elements can be linked directly to the individual attribute tables in the Access database using "ElementID", but this arrangement will not provide the asset-level groupings.

Further information is provided in the accompanying document, "COO_asset_database_doc20150827.doc" located within this dataset.

Dataset History

Version ID Date Notes

1.0 27/03/2015 Initial database

2.0 14/08/2015 "(1) Updated the database for M2 test results provided from COO assessment team and created the draft BA-LEB-COO-130-WaterDependentAssetRegister-AssetList-V20150814.xlsx

(2) updated the group, subgroup, class and depth for (up to) 2 NRM WAIT assets to cooperate the feedback to OWS from relevant SA NRM regional office (whose staff missed the asset workshop). The AIDs and names of those assets are listed in table LUT_changed_asset_class_20150814 in COO_asset_database_20150814.mdb

(3) As a result of (2), added one new asset separated from one existing asset. This asset and its parent are listed in table LUT_ADD_1_asste_20150814 in COO_asset_database_20150814.mdb. The M2 test result for this asset is inherited from its parent in this version

(5) Added Appendix C in COO_asset_database_doc_201500814.doc is about total elements/assets in current Group and subgroup

(6)Added Four SQL queries (Find_All_Used_Assets, Find_All_WD_Assets, Find_Amount_Asset_in_Class and Find_Amount_Elements_in_Class) in COO_asset_database_20150814.mdb.mdb for total assets and total numbers

(7)The databases, especially spatial database (COO_asset_database_20150814Only.gdb), were changed such as duplicated attribute fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to the relevant spatial data"

3.0 27/08/2015 M2_Reason in the Assetlist table and DecisionBrief in the AssetDecisions table have been updated with short descriptions (<255 characters) provided by project team 21/8, and the draft "water-dependent asset register and asset list" (BA-LEB-COO-130-WaterDependentAssetRegister-AssetList-V20150827) also updated accordingly. No changes to asset numbers.

Dataset Citation

Bioregional Assessment Programme (2014) Asset database for the Cooper subregion on 27 August 2015. Bioregional Assessment Derived Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/0b122b2b-e5fe-4166-93d1-3b94fc440c82.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From Matters of State environmental significance (version 4.1), Queensland

• Derived From Geofabric Surface Network - V2.1

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From National Groundwater Information System (NGIS) v1.1

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

• Derived From Queensland wetland data version 3 - wetland areas.

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Water Management Areas 141007

• Derived From South Australian Wetlands - Groundwater Dependent Ecosystems (GDE) Classification

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Asset database for the Cooper subregion on 14 August 2015

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Ramsar Wetlands of Australia

• Derived From Permanent and Semi-Permanent Waterbodies of the Lake Eyre Basin (Queensland and South Australia) (DRAFT)

• Derived From SA EconomicElements v1 20141201

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Groundwater Licences 141007

• Derived From Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Asset database for the Cooper subregion on 27 March 2015

• Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal

• Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public)

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

This dataset can be used to search for information on food additive operators and products that have completed registration on the food business operator registration platform.

A set of street text data from the address register of the Republic of Lithuania (data describing streets). Geographical sample of data - the whole territory of the country.

Database of Council owned lands, propoerties and all asociated interests including acquisition and disposal data

Jersey's Health and Social Care Practitioners Registers including the medical register, dental care register and health and social care register. These resources contain lists of medical practitioners who are currently registered with the Jersey Care Commission to work in Jersey. Local registration relies on the medical practitioner being registered in the UK with the General Medical Council (GMC). Further information about professional registration in Jersey is on the Jersey Care Commission’s website. https://carecommission.je/

The Register includes the following information in respect of all commercial leases entered into since 1 January 2010: The Address of the Commercial Property the Subject of the Lease; The Date of the Lease of the Property; The Term of Years of the Lease, and The Rent Payable in Respect of the Property. All of the above-mentioned information is available free of charge. With regard to commercial leases entered into on or after 3 April 2012, the Act imposes an obligation on the tenants of such properties, to furnish the following additional information to the PSRA: The Commencement Date of the Terms of the Lease; Any Capital Contribution Paid in respect of the Property; The Frequency of Rent Reviews; Liability for Rates, Insurance, Service Charges and Repairs; Particulars of Rent-free Periods, Fitting-out Time, Fit-out Allowances and Capital Considerations, and Particulars of any Break Clause in the Lease. The additional information is available directly from the Property Services Regulatory Authority website and can be accessed through the following url: https://propertypriceregister.ie/Website/NPSRA/pprweb-com.nsf/page/ppr-home-en

About this dataset

Context

The dataset tabulates the population of Register by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Register. The dataset can be utilized to understand the population distribution of Register by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Register. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Register.

Key observations

Largest age group (population): Male # 35-39 years (33) | Female # 85+ years (13). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Register population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Register is shown in the following column.
• Population (Female): The female population in the Register is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Register for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Register Population by Gender. You can refer the same here

The National Register geospatial dataset is intended to be a comprehensive inventory of all cultural resources that are listed on the National Register of Historic Places. However, this dataset excludes all features deemed 'restricted' or 'sensitive', such as sensitive archaeological sites. This dataset provides feature geometry representations (point or polygon) and is intended to be supplemented with descriptive attributes maintained by other external database systems such as the National Register Information System which is included in this geodatabase.

This data package contains datasets on clinical trials conducted in the United States. Diseases include cervical cancer, diabetes, acute respiratory infection as well as stress. This data package also includes clinical trials registry and results database.

This dataset represents all sources recorded in the source register of North Rhine-Westphalia, which is independently managed by five institutions, or their sampling points on the basis of the water station map (gsk3c) of the state. The attribute table provides information about the number, location and data holders of all objects displayed within a source area and indicates the reference source. Sources from GeoBasis NRW – i.e. from state surveying – are always reference sources. All objects within a radius of 10 m around the reference source are merged under a SourceNRW_ID. Intersecting radii are combined into a larger contiguous source area. If there is no reference source of Geobasis NRW in an area, the source closest to the centre of gravity represents the reference source.

About this dataset

Context

The dataset tabulates the Register population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Register. The dataset can be utilized to understand the population distribution of Register by age. For example, using this dataset, we can identify the largest age group in Register.

Key observations

The largest age group in Register, GA was for the group of age 35 to 39 years years with a population of 33 (18.23%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Register, GA was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Register is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Register total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Register Population by Age. You can refer the same here

By using this dataset, you can look up information about food industry operators who have completed registration on the food industry registration platform.

The Global Observing Systems Information Center (GOSIC) provides a cross system access to observing system datasets and products through the Data Set Registry for data being actively collected, and for historical data sets identified as relevant to the needs of GCOS, GOOS and GTOS. The Data Set Registry is a meta data database operated in partnership with the Global Change Master Directory (GCMD) of NASA. The directory provides on-line browsing with links to the data, services, and products in the data and information centers.