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10,000+ datasets for “Methods”
- Data.gov Catalog
Final_Ozone_instrument_smoke_evaluation_data
U.S. EPA Office of Research and Development (ORD)Updated 3 Sept 2020
EPA Federal Reference Method (FRM) and Federal Equivalent Method (FEM) ozone and supporting (carbon monoxide, nitrogen dioxide, nitrogen …
- VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
- Opendatasoft hubLive preview
Potential environmental impacts of water deprivation and land use for food consumption in France and Tunisia.
Sinfort, CaroleUpdated 26 Sept 2019
Lien vers la fiche source The dataset concerns the environmental impacts of water consumption and land use for …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.au
EFTF Surface Nuclear Magnetic Resonance data release
Geoscience Australia DataUpdated 17 Oct 2025
Water content and NMR relaxation times are the most important properties estimated from surface nuclear magnetic resonance (SNMR …
- Data.gov Catalog
Citywide Payroll Data (Fiscal Year)
data.cityofnewyork.usUpdated 29 Oct 2026
… With the updated methodology, the dollars shown on the Open Data site will continue to be inclusive of …
- JSON
- XML
- CSV
- data.gov.au
SS2004/04 - Testing, refinement and application of methodology for optimised seabed mapping : Sediment samples
CSIRO Marlin Data CatalogueUpdated 24 Jun 2025
… These are prime targets for our methods development because each canyon area is characterised by a great variety …
- Socrata networkLive preview
Vital Signs: Travel Time Reliability – Bay Area
Metropolitan Transportation Commission/INRIX: Freeway Reliability AnalysisUpdated 22 May 2017
… Annual Traffic Volume Reports http://traffic-counts.dot.ca.gov CONTACT INFORMATION vitalsigns.info@mtc.ca.gov METHODOLOGY …
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- SODA API
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 16 Oct 2025
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 20 Jan 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 2 Mar 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 7 Mar 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 25 Mar 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 20 Apr 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 30 Apr 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 14 May 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- Data.gov Catalog
National Atmospheric Deposition Program Pollen Study Data for 2021 Pollen Season
U.S. Geological SurveyUpdated 2 Aug 2022
Pollen was measured in ambient air by several methods and in wet atmospheric deposition samples at three monitoring …
- XML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 11 Jan 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 23 Jan 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 12 Feb 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 5 Mar 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 16 Mar 2026
In this study, we conducted a simulation experiment to identify robust spatial interpolation methods using samples of seabed …
- HTML