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10,000+ datasets for “Methods”
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 30 Apr 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 14 May 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- Data.gov Catalog
System for Award Management (SAM) API
General Services AdministrationUpdated 26 Nov 2019
The SAM API is a RESTful method of retrieving public information about the businesses, organizations, or individuals (referred …
- API
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 11 Jan 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 23 Jan 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 12 Feb 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 5 Mar 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 16 Mar 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 29 Mar 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 4 Apr 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 10 Apr 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 16 Apr 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 5 May 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 5 Jun 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 17 Jun 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 23 Jun 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 27 Jun 2026
In 2008, the performance of 14 statistical and mathematical methods for spatial interpolation was compared using samples of …
- HTML
- Socrata networkLive preview
NNDSS - Table II. Lyme disease to Meningococcal
Division of Health Informatics and Surveillance (DHIS), Centers for Disease Control and PreventionUpdated 5 Jan 2017
… and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude …
- CSV
- JSON
- SODA API
- Open Government Canada
Harmonized TRA Methodology (TRA-1)
Communications Security Establishment Canada | Centre de la sécurité des télécommunications CanadaUpdated 3 Mar 2023
" TRA-1 - Tool TRA-1 - A-5: Sample Statement of Work for TRA Consulting Services TRA-1 - A …
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- data.gov.au
ABS Census - B26 Method Of Travel To Work By Sex (LGA) 1991
Government of the Commonwealth of Australia - Australian Bureau of StatisticsUpdated 31 Jul 2025
… This table contains data relating to method of travel to work by sex. Counts are of employed persons …
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