bonndata catalog
Thumbnail for Comparison of Global Agricultural Supply and Demand Estimates from different Sources covering Wheat, Rice, Corn, and Soybeans. Raw Data from AMIS, 2011-2015

Comparison of Global Agricultural Supply and Demand Estimates from different Sources covering Wheat, Rice, Corn, and Soybeans. Raw Data from AMIS, 2011-2015

Open this dataset in the live repository

Important usage condition: Use and redistribution are governed by License not specified. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/AYRWKW
Published version
1.0
Publication date
2023-09-18
License
License not specified

Important: custom terms of use

<a href="https://creativecommons.org/licenses/by-nc-sa/3.0/igo/">Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO</a><br/>

Description

Global agricultural supply and demand estimates from the FAO, USDA, and IGC are compared to analyze data quality, documentation, and differences in the sources as well as the underlying reasons for these differences. All data is collected via AMIS (www.amis-outlook.org). The data originates from the AMIS Market Monitors No. 2 to 29. Quality/Lineage: See linked doctoral thesis by Jan Brockhaus for more details on data quality and methods which were used for analyzing the data. In general, the data seems to be of high quality. Few mistakes were found and corrected. Differences between the sources exist. For underlying reasons, see linked doctoral thesis. Purpose: Understanding why different sources provide different estimates.

Creators

Keywords

wheat, soybeans, maize, economy

Files

Before downloading: Use and redistribution are governed by License not specified. Review and comply with the license before using the data.
FileTypeBytesChecksum
metadata.xmltext/xml26021MD5 f4f8cc7a13979cbb066036b07529dd22
AMIS_market_monitor_data_on_global_agricultural_fundamentals_monthly_2011_2015.csvtext/csv167863MD5 cfdf6a4d57499507e108552e0a02a9c6
statistic-2.PNGimage/png7086MD5 5414abd839cc504aac2dbdc5aeec35d0
ReadMe_Variables.txttext/plain961MD5 91e97a2201718b15a2738a3fdfaf4c1a
Volatility.jpgimage/jpeg9499MD5 b7a30857c4d18239bc02ece76e44e03c

Citation

Jan Brockhaus, 2023-09-18, Comparison of Global Agricultural Supply and Demand Estimates from different Sources covering Wheat, Rice, Corn, and Soybeans. Raw Data from AMIS, 2011-2015, doi:10.60507/FK2/AYRWKW, V1.0

Additional Dataverse fields

Id89
Dataset Typedataset
Internal Version Number9
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:38:40Z
Create Time2023-09-18T08:57:39Z
Citation Date2023-09-18
File Access RequestTrue

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title
Comparison of Global Agricultural Supply and Demand Estimates from different Sources covering Wheat, Rice, Corn, and Soybeans. Raw Data from AMIS, 2011-2015
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    8e0d1152-2b31-4b3f-b911-2b1d21610efb
Author author
  1. Author Name
    Jan Brockhaus
    Author Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Jan Brockhaus
    Dataset Contact Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
    Dataset Contact Email
    jan.brockhaus@gmx.de
Ds Description dsDescription
  1. Ds Description Value
    Global agricultural supply and demand estimates from the FAO, USDA, and IGC are compared to analyze data quality, documentation, and differences in the sources as well as the underlying reasons for these differences. All data is collected via AMIS (www.amis-outlook.org). The data originates from the AMIS Market Monitors No. 2 to 29. Quality/Lineage: See linked doctoral thesis by Jan Brockhaus for more details on data quality and methods which were used for analyzing the data. In general, the data seems to be of high quality. Few mistakes were found and corrected. Differences between the sources exist. For underlying reasons, see linked doctoral thesis. Purpose: Understanding why different sources provide different estimates.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    economy
Free Keyword freeKeyword
  1. Free Keyword Value
    wheat
  2. Free Keyword Value
    soybeans
  3. Free Keyword Value
    maize
  4. Free Keyword Value
    economy
Topic Classification topicClassification
  1. Topic Class Value
    Volatility
    Topic Class Vocab
    Research Project
  2. Topic Class Value
    food storage
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    data base
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  4. Topic Class Value
    staple food
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  5. Topic Class Value
    food transport
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  6. Topic Class Value
    supply and demand
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  7. Topic Class Value
    crop production
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  8. Topic Class Value
    rice
    Topic Class Vocab
    GEMET - Concepts, version 2.4
Notes Text notesText
This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={8e0d1152-2b31-4b3f-b911-2b1d21610efb}.
Language language
  1. English
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    2011-01-01
    Time Period Covered End
    2015-06-30
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2016-11-17
    Date Of Collection End
    2016-11-17
Other References otherReferences
  1. Matthias Kalkuhl for helping with the analysis. Philippe Paquotte and colleges from AMIS for helping to better understand the data.

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Other Geographic Coverage
    World
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    -114.4336
    East Longitude
    122.168
    North Latitude
    38.5482
    South Latitude
    -36.3151

Expected crawler behaviour

Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.

The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.

Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.