100+ datasets found
  1. d

    TDA Data Overview - School Nutrition Programs

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jan 25, 2025
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    data.austintexas.gov (2025). TDA Data Overview - School Nutrition Programs [Dataset]. https://catalog.data.gov/dataset/tda-data-overview-school-nutrition-programs
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    Dataset updated
    Jan 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    Overview of school nutrition program data available on the Texas Open Data Portal from Texas Department of Agriculture

  2. r

    IN- Demographic Data

    • redivis.com
    Updated Dec 19, 2023
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    Columbia Population Research Center (2023). IN- Demographic Data [Dataset]. https://redivis.com/datasets/fh74-90v3ge9m2
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    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    Columbia Population Research Center
    Description

    The table IN- Demographic Data is part of the dataset Demographic Data, available at https://redivis.com/datasets/fh74-90v3ge9m2. It contains 4305935 rows across 699 variables.

  3. DfT: business plan quarterly data summary (QDS)

    • gov.uk
    Updated Nov 29, 2012
    + more versions
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    Department for Transport (2012). DfT: business plan quarterly data summary (QDS) [Dataset]. https://www.gov.uk/government/publications/business-plan-quarterly-data-summary-qds
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    Dataset updated
    Nov 29, 2012
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Under the new quarterly data summary (QDS) framework departments’ spending data is published every quarter; to show the taxpayer how the government is spending their money.

    The QDS grew out of commitments made in the 2011 Budget and the written ministerial statement on business plans. For the financial year 2012 to 2013 the QDS has been revised and improved in line with action 9 of the Civil Service Reform Plan to provide a common set of data that will enable comparisons of operational performance across government so that departments and individuals can be held to account.

    The QDS breaks down the total spend of the department in 3 ways:

    • by budget
    • by internal operation
    • by transaction.

    The QDS template is the same for all departments, though the individual detail of grants and policy will differ from department to department. In using this data:

    • people should ensure they take full note of the caveats noted in each department’s return
    • as the improvement of the QDS is an ongoing process data quality and completeness will be developed over time and therefore necessary caution should be applied to any comparative analysis undertaken

    Please note that the quarter 1 2012 to 2013 return for the Department of Transport (DfT) is for the core department only.

    April 2012

    Quarterly data summaries for April 2012 are as follows:

    January 2012

    Quarterly data summaries for January 2012 are as follows:

    October 2011

    Quarterly data summaries for October 2011 are as follows:

  4. Petroleum Data: Summary Application Programming Interface (API)

    • catalog.data.gov
    • data.wu.ac.at
    Updated Jul 6, 2021
    + more versions
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    U.S. Energy Information Administration (2021). Petroleum Data: Summary Application Programming Interface (API) [Dataset]. https://catalog.data.gov/dataset/petroleum-data-summary-application-programming-interface-api
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    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Energy Information Administrationhttp://www.eia.gov/
    Description

    Data on petroleum production, imports, inputs, stocks, exports, and prices. Weekly, monthly, and annual data available. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

  5. Data from: CMAR Catch Operations Data overview (1965 to current)

    • demo.dev.magda.io
    • data.gov.au
    wms
    Updated Oct 8, 2023
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    CSIRO Oceans and Atmosphere - Information and Data Centre (2023). CMAR Catch Operations Data overview (1965 to current) [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-e8897e15-c5fb-439f-b2ed-7b00912c44d9
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    wmsAvailable download formats
    Dataset updated
    Oct 8, 2023
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Description

    The CMAR Catch Operations data set currently includes information on samples collected between 1965 and 2005 during voyages of various CSIRO research vessels. The data includes information about the …Show full descriptionThe CMAR Catch Operations data set currently includes information on samples collected between 1965 and 2005 during voyages of various CSIRO research vessels. The data includes information about the time, location depth and catch method (trawl net etc) for each operation, metrics of catch (weight composition etc) and species and specimen details. Individual metadata records have been created for each research voyage. The data are held in the CMAR Data Warehouse, which currently holds over 13,000 catch operation records from more than 200 voyages.

  6. d

    Searching Data: A Review of Observational Data Retrieval Practices - Dataset...

    • b2find.dkrz.de
    Updated Sep 11, 2024
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    (2024). Searching Data: A Review of Observational Data Retrieval Practices - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/8272f830-536b-52be-9287-9a4e49448f7e
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    Dataset updated
    Sep 11, 2024
    Description

    This study employed an extensive literature review to identify commonalities in the data retrieval practices of users of observational data. This dataset consists of a BibTeX file with the 146 bibliographic references examined in:Gregory, K., Groth, P., Cousijn, H., Scharnhorst, A., & Wyatt, S. (2017). Searching Data: A Review of Observational Data Retrieval Practices. arxiv:1707.06937. [cs.DL]The body of literature in the dataset was retrieved using different combinations of keyword searches, primarily in the Scopus database, across all fields. Keyword searches related to information retrieval (e.g. user behavior, information seeking, information retrieval) and data practices (e.g. research practices, community practices, data sharing, data reuse) were combined with keyword searches for research data. As the terms “data” and “search” are ubiquitous in academic literature, title searches also were employed and combined with the controlled vocabulary of the database to locate relevant information. Searches in Scopus included strings such as:KEY ( user AND information ) AND TITLE-ABS-KEY ("research data" OR ( scien W/1 data ) OR ( data W/1 ( repositor OR archive ) ) )TITLE ( data W/0 ( search OR retriev OR discover OR access OR sharing OR reus* ) )AND ( LIMIT-TO ( EXACTKEYWORD , "Information Retrieval" ) OR LIMIT-TO ( EXACTKEYWORD , "Data Retrieval" ) OR LIMIT-TO ( EXACTKEYWORD , "Data Reuse" ) )Bibliometric techniques such as citation chaining and related records were also applied. Pertinent journals and conference proceedings not indexed within Scopus (e.g. the International Journal of Digital Curation) were searched directly using similar keywords.The approximately 400 retrieved documents were examined by close reading to identify articles referring to observational data for inclusion in the final dataset.AcknowledgementsThis work has funded by the NWO Grant 652.001.002 (programme Creative Industrie - Thematisch Onderzoek (CI-TO), Re-SEARCH: Contextual Search for Scientific Research Data)

  7. r

    Southern Surveyor Voyage SS 04/93 Biological Data Overview

    • researchdata.edu.au
    Updated Feb 5, 1999
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    Australian Ocean Data Network (1999). Southern Surveyor Voyage SS 04/93 Biological Data Overview [Dataset]. https://researchdata.edu.au/southern-surveyor-voyage-data-overview/687972
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    Dataset updated
    Feb 5, 1999
    Dataset provided by
    Australian Ocean Data Network
    Time period covered
    Jun 1, 1993 - Jun 20, 1993
    Area covered
    Description

    This record is an overview entry for biological data collected on Southern Surveyor cruise SS 04/93. This cruise took place in oceanic and shelf waters off south eastern Tasmania during 1-21 June 1993, under the leadership of Jock Young. Biological data collected on this cruise include oceanographic data and midwater fauna samples from three transects to the north, across and south east of the jarosite dumpsite and midwater fauna samples for heavy metal analysis. Larval fish samples were also collected for the Temperate and Deepwater Fisheries Resources program. Please note: This metadata record is a preliminary entry derived from information in the cruise plan and/or cruise report. Individual data types - which may span several cruises - will be indexed separately within this metadata system in due course. - Biological Field Data Sheets recorded during this voyage have been scanned to PDF, and are available (to CSIRO Staff) on-line. See the details link under "Stored Media List" (below).

  8. r

    Southern Surveyor Voyage SS 01/91 Biological Data Overview

    • researchdata.edu.au
    Updated Feb 12, 1999
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    Australian Ocean Data Network (1999). Southern Surveyor Voyage SS 01/91 Biological Data Overview [Dataset]. https://researchdata.edu.au/southern-surveyor-voyage-data-overview/691036
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    Dataset updated
    Feb 12, 1999
    Dataset provided by
    Australian Ocean Data Network
    Time period covered
    Jan 22, 1991 - Feb 19, 1991
    Area covered
    Description

    This record is an overview entry for biological data collected on Southern Surveyor cruise SS 01/91. This cruise took place in waters off the west coast of Western Australia during 21 January - 19 February 1991, under the leadership of Anthony Koslow. Biological data collected on this cruise include extensive collections of fish, crustaceans (including scampi and deep-water prawns), and cephalopods from 95 trawls. Photographic records were also taken of the specimens and acoustic data were continuosly collected during the cruise. Please note: This metadata record is a preliminary entry derived from information in the cruise plan and/or cruise report. Individual data types - which may span several cruises - will be indexed separately within this metadata system in due course.

  9. Simulation & Test Data Management Market – AI & Digital Twin Trends 2025 to...

    • futuremarketinsights.com
    pdf
    Updated Mar 7, 2025
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    Future Market Insights (2025). Simulation & Test Data Management Market – AI & Digital Twin Trends 2025 to 2035 [Dataset]. https://www.futuremarketinsights.com/reports/simulation-and-test-data-management-market
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    pdfAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2025 - 2035
    Area covered
    Worldwide
    Description

    The global Simulation and Test Data Management market is projected to grow significantly, from 905.2 million in 2025 to 3,236.0 million by 2035 an it is reflecting a strong CAGR of 12.1%.

    Global Simulation and Test Data Management Market Assessment

    Attributes Description
    Industry Size (2025E)USD 905.2 million
    Industry Size (2035F)USD 3,236.0 million
    CAGR (2025 to 2035)12.1% CAGR

    Category-wise Insights

    SegmentCAGR (2025 to 2035)
    Aerospace & Defense (Industry)14.8%
    SegmentValue Share ( 2025 )
    Test Data Simulation Software (Solution)42.3%
  10. Data from: Rachel Cruise 10 [1985] - Biological data overview

    • data.wu.ac.at
    pdf, wms
    Updated Jun 24, 2017
    + more versions
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    CSIRO Oceans and Atmosphere - Information and Data Centre (2017). Rachel Cruise 10 [1985] - Biological data overview [Dataset]. https://data.wu.ac.at/schema/data_gov_au/ZGMyMDA5ODktNzQ2Ny00MmVkLTlhOWYtNjAyNWI4ZDQyNWFk
    Explore at:
    wms, pdfAvailable download formats
    Dataset updated
    Jun 24, 2017
    Dataset provided by
    CSIROhttp://www.csiro.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    9b57ea847e7b51c3a2c42cabcad5f086828e65a1
    Description

    This record describes the biological data collected on Rachel Cruise 10/1985. The data were obtained from the Gulf of Carpentaria between February and March 1985. The dataset consists of length, sex, species identity data for sharks, mainly Carcharhinus tilstoni, Carcharhinus sorrah, Scomberomorus commerson and Thunnus tonggol, from gillnet and longline samples. This dataset was collected as part of the CSIRO Northern Pelagic Fish Stock Research Project.

  11. r

    Data from: CO9001, FV Corvina Biological Data Overview

    • researchdata.edu.au
    Updated Jun 13, 2008
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    Australian Ocean Data Network (2008). CO9001, FV Corvina Biological Data Overview [Dataset]. https://researchdata.edu.au/co9001-fv-corvina-data-overview/681793
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    Dataset updated
    Jun 13, 2008
    Dataset provided by
    Australian Ocean Data Network
    Time period covered
    Feb 4, 1992 - Feb 25, 1992
    Area covered
    Description

    Exploratory survey of Orange Roughy by the FV Corvina south of Tasmania in 1992. This ship fished for Orange Roughy to support Southern Surveyor SS9201. The data includes station logs and catch composition.

  12. r

    Southern Surveyor Voyage SS 02/94 Biological Data Overview

    • researchdata.edu.au
    • data.wu.ac.at
    Updated Feb 17, 1999
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    Australian Ocean Data Network (1999). Southern Surveyor Voyage SS 02/94 Biological Data Overview [Dataset]. https://researchdata.edu.au/southern-surveyor-voyage-data-overview/682077
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    Dataset updated
    Feb 17, 1999
    Dataset provided by
    Australian Ocean Data Network
    Time period covered
    Feb 17, 1994 - Feb 24, 1994
    Area covered
    Description

    This record is an overview entry for biological data collected on Southern Surveyor cruise SS 02/94. This cruise took place in Tasmanian, Victorian and New South Wales coastal and offshore waters during 17-25 February 1994, under the leadership of Barry Bruce. Biological data collected on this cruise include samples of larval fish, demersal and midwater fish, invertebrates, zooplankton and ichthyoplankton. A total of 339 stomachs from 18 species for feeding studies, 120 muscle samples (17 species) for stable isotope analysis and 315 otolith sets (15 species) and 40 vertebrae (2 species) for ageing studies. 25 fish species, including 80 kg of the oreo Neocyttus rhomboidalis from one demersal deepwater trawl. A diverse range of fish specimens for taxonomic analyses. Several benthic sediment samples for analysis of phytoplankton pigments and breakdown products. Please note: This metadata record is a preliminary entry derived from information in the cruise plan and/or cruise report. Individual data types - which may span several cruises - will be indexed separately within this metadata system in due course.

  13. D

    Description of data management practices for SANDBOX research data

    • data.4tu.nl
    • 4tu.edu.hpc.n-helix.com
    zip
    Updated May 23, 2022
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    Erik Hendriks; Chiu H. Cheng; Bram van Prooijen (2022). Description of data management practices for SANDBOX research data [Dataset]. http://doi.org/10.4121/19786174.v1
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    zipAvailable download formats
    Dataset updated
    May 23, 2022
    Dataset provided by
    4TU.ResearchData
    Authors
    Erik Hendriks; Chiu H. Cheng; Bram van Prooijen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 2017 - Oct 2017
    Area covered
    Dataset funded by
    Dutch Research Council
    Description

    In the SANDBOX research project, we investigated the natural dynamics of the North Sea bed. As part of this research, we conducted multiple research cruises on the North Sea. The documents in this dataset explain which data was collected, when it was collected and the structure of the data repository (svn.citg.tudelft.nl/sandbox).

  14. D

    Freight Analysis Framework - All FAF summary datasets

    • data.transportation.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Dec 17, 2018
    + more versions
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    (2018). Freight Analysis Framework - All FAF summary datasets [Dataset]. https://data.transportation.gov/Roadways-and-Bridges/Freight-Analysis-Framework-All-FAF-summary-dataset/miub-cu89
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    application/rdfxml, xml, csv, json, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Dec 17, 2018
    Description

    The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

  15. r

    Data from: Rachel Cruise 12 [1985] - Biological data overview

    • researchdata.edu.au
    • data.wu.ac.at
    Updated Oct 16, 2000
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    Australian Ocean Data Network (2000). Rachel Cruise 12 [1985] - Biological data overview [Dataset]. https://researchdata.edu.au/rachel-cruise-12-biological-overview/683749
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    Dataset updated
    Oct 16, 2000
    Dataset provided by
    Australian Ocean Data Network
    Time period covered
    May 7, 1985 - May 30, 1985
    Area covered
    Description

    This record describes the biological data collected on Rachel Cruise 12/1985. The data were obtained from the Gulf of Carpentaria and Torres Strait in May 1995. The dataset consists of length, sex, species identity data for sharks, mainly Carcharhinus tilstoni, Carcharhinus sorrah, Scomberomorus commerson and Thunnus tonggol, from gillnet and longline samples. This dataset was collected as part of the CSIRO Northern Pelagic Fish Stock Research Project.

  16. Data Center Market Forecast by Hardware and Services for 2024 to 2034

    • futuremarketinsights.com
    pdf
    Updated Mar 12, 2024
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    Future Market Insights (2024). Data Center Market Forecast by Hardware and Services for 2024 to 2034 [Dataset]. https://www.futuremarketinsights.com/reports/data-center-market
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    pdfAvailable download formats
    Dataset updated
    Mar 12, 2024
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The data center market is estimated to stand at US$ 30.41 billion in 2024. The market is forecasted to exceed a valuation of US$ 117.24 billion by 2034, recording a CAGR of 14.40%. Data center demand is primarily driven by the exponential upsurge in data consumption and data generation by organizations across multiple industries.

    AttributesDetails
    Estimated Data Center Market Size (2024)US$ 30.41 billion
    Forecasted Market Size (2034)US$ 117.24 billion
    Projected Value CAGR (2024 to 2034)14.40%

    Historical Study on Data Center Market Alongside Future Projections

    AttributesQuantitative Outlook
    Data Center Market Size (2023)US$ 26.83 billion
    Historical CAGR (2019 to 2023)12.70%

    Demand Analysis of Data Centers by Region

    CountriesData Center Industry Forecasted CAGR (2024 to 2034)
    United States11.30%
    Germany9.90%
    China15.00%

    Data Center Industry Analysis by Segment

    SegmentEstimated Market Share in 2024
    Hardware51.80%
    Tier 3 Data Center38.10%
  17. RDA Overview for the Social Sciences - May 2020

    • zenodo.org
    bin, csv
    Updated Oct 31, 2022
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    Ricarda Braukmann; Ricarda Braukmann (2022). RDA Overview for the Social Sciences - May 2020 [Dataset]. http://doi.org/10.5281/zenodo.4776356
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    bin, csvAvailable download formats
    Dataset updated
    Oct 31, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ricarda Braukmann; Ricarda Braukmann
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    This upload is the third version of a dataset on the RDA groups and outputs which was generated in May 2021. It is connected to a report that described a project that assessed the RDA Groups and Outcomes and their relevance for social science researchers. This datasets gives an overview of the results of this analysis, providing a list of all RDA Groups as well as an indication of the relevance for Social Sciences researchers. The project was executed by Data Archiving and Networked Services (DANS) which acted as a national RDA node in the Netherlands and as an ambassador for the social sciences within the RDA Europe Project.

    This dataset contains:

    - an excel overview of the RDA Working and Interest groups

    - additional csv copies of the separate sheets of the excel overview

  18. r

    Data from: Southern Surveyor Voyage SS 05/95 Biological Data Overview

    • researchdata.edu.au
    Updated Feb 16, 1999
    + more versions
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    Australian Ocean Data Network (1999). Southern Surveyor Voyage SS 05/95 Biological Data Overview [Dataset]. https://researchdata.edu.au/southern-surveyor-voyage-data-overview/683046
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    Dataset updated
    Feb 16, 1999
    Dataset provided by
    Australian Ocean Data Network
    Time period covered
    Jun 17, 1995 - Jun 23, 1995
    Area covered
    Description

    This record is an overview entry for biological data collected on Southern Surveyor cruise SS 05/95. This cruise took place in the Gulf of Carpentaria during 16-23 June 1995, under the leadership of John Salini. Biological data collected on this cruise include prawn and bycatch data from 39 paired prawn trawls. Penaeus semisulcatus samples for genetic and isotope analyses. Sediment samples. Water samples for primary productivity experiments. Leiognathids samples to complete sampling for a PhD study. Please note: This metadata record is a preliminary entry derived from information in the cruise plan and/or cruise report. Individual data types - which may span several cruises - will be indexed separately within this metadata system in due course.

  19. Free Zones: market overview of automatic data processing machines and units...

    • app.indexbox.io
    Updated Apr 27, 2023
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    IndexBox AI Platform (2023). Free Zones: market overview of automatic data processing machines and units thereof; magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data n.e.s. 2007-2024 [Dataset]. https://app.indexbox.io/report/8471/990/
    Explore at:
    Dataset updated
    Apr 27, 2023
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Free Zones
    Description

    Statistics illustrates market overview of automatic data processing machines and units thereof; magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data n.e.s. in Free Zones from 2007 to 2024.

  20. Data from: RV Investigator BOM Atmospheric Data Overview (2016 onwards)

    • researchdata.edu.au
    • data.csiro.au
    datadownload
    Updated Sep 21, 2020
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    Marine National Facility; CSIRO; Alain Protat (2020). RV Investigator BOM Atmospheric Data Overview (2016 onwards) [Dataset]. http://doi.org/10.25919/5F688FCC97166
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    datadownloadAvailable download formats
    Dataset updated
    Sep 21, 2020
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Marine National Facility; CSIRO; Alain Protat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 14, 2016 - Feb 22, 2018
    Area covered
    Description

    This record describes atmospheric data collected onboard the RV Investigator from 2016 onward and processed by the individual owners of the user-supplied instruments.

    Different data types are available for each voyage; overall, they include:

    • User-supplied aerosol products (CSIRO, QUT, CSU)
    • Merged cloud radar-lidar product (BOM)
    • Microwave radiometer processed (MWR) data (University of Utah)
    • ODM470 disdrometer products (BOM/University of Hamburg)
    • Processed micro rain radar (MRR-2 or MRR-PRO) data and quicklooks (AAD/BOM)
    • NOAA surface flux products (NOAA)
    • Post-processed lidar data (AAD/BOM)
    • BASTA cloud radar level 2 data (BOM)

    For more information please refer to the processing reports linked below.

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data.austintexas.gov (2025). TDA Data Overview - School Nutrition Programs [Dataset]. https://catalog.data.gov/dataset/tda-data-overview-school-nutrition-programs

TDA Data Overview - School Nutrition Programs

Explore at:
Dataset updated
Jan 25, 2025
Dataset provided by
data.austintexas.gov
Description

Overview of school nutrition program data available on the Texas Open Data Portal from Texas Department of Agriculture

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