17 datasets found
  1. Evaluation of the Direct Certification with Medicaid for Free and...

    • catalog.data.gov
    Updated Apr 21, 2025
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    Food and Nutrition Service (2025). Evaluation of the Direct Certification with Medicaid for Free and Reduced-Price Meals - Year 1 [Dataset]. https://catalog.data.gov/dataset/evaluation-of-the-direct-certification-with-medicaid-for-free-and-reduced-price-meals-year
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Food and Nutrition Servicehttps://www.fns.usda.gov/
    Description

    The demonstration of Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) allows authorized States and school districts to use information from Medicaid data files to identify students eligible to receive free or reduced-price (F/RP) National School Lunch Program (NSLP) and School Breakfast Program (SBP) meals. The Food and Nutrition Service (FNS) contracted with Mathematica Policy Research to conduct a study of the first two years of this demonstration to describe the implementation process and explore the effects on certification, participation, Federal reimbursements, and State administrative costs. This report presents the findings from the first year of the demonstration evaluation, school year (SY) 2016–2017.

  2. Rp Equipment Inc Importer and Teckman Free Zone Exporter Data to USA

    • seair.co.in
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    Seair Exim, Rp Equipment Inc Importer and Teckman Free Zone Exporter Data to USA [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  3. i

    FreeAminoAcids_Raw data.csv

    • doi.ipk-gatersleben.de
    Updated Aug 16, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay-Hernández; Eva Maria Molin; John D'Auria; Anna-Lena Gippert; Hans-Peter Mock (2022). FreeAminoAcids_Raw data.csv [Dataset]. https://doi.ipk-gatersleben.de/DOI/90f56e21-c06f-41a5-aeb2-8f2f389a3e3f/addfb5e7-f797-45eb-8188-e36fc4ffd1d8/1
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    Dataset updated
    Aug 16, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay-Hernández; Eva Maria Molin; John D'Auria; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  4. O

    Data Sets for Evaluation of Building Fault Detection and Diagnostics...

    • data.openei.org
    • osti.gov
    • +1more
    image_document
    Updated Feb 26, 2019
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    Guanjing Lin; Robin Mitchell; Guanjing Lin; Robin Mitchell (2019). Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms [Dataset]. http://doi.org/10.25984/1824861
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    image_documentAvailable download formats
    Dataset updated
    Feb 26, 2019
    Dataset provided by
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
    Open Energy Data Initiative (OEDI)
    Lawrence Berkeley National Laboratory
    Authors
    Guanjing Lin; Robin Mitchell; Guanjing Lin; Robin Mitchell
    License

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

    Description

    This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model.

  5. i

    39196.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39196.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/a4016a0b-3704-4617-a86b-9f8a6073f9ee/0
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    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  6. i

    39283.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39283.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/31563098-045b-4e8c-9170-6c33f7ea53ba/0/
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    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  7. i

    39238.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39238.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/3021d6dd-3a83-4f87-99c2-2968da90353d/0
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    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  8. i

    39178.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39178.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/22201021-9ad4-4b8d-8323-c49bb5341048/0
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    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  9. i

    39522.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39522.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/063da29a-1c06-4846-bee3-b0f2a69524f5/0
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    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  10. i

    39420.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39420.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/35e7ed19-1fe4-4191-adcc-18532078b61f/0
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    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  11. i

    39518.m

    • doi.ipk-gatersleben.de
    Updated Aug 16, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay-Hernández; Eva Maria Molin; John D'Auria; Anna-Lena Gippert; Hans-Peter Mock (2022). 39518.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/90f56e21-c06f-41a5-aeb2-8f2f389a3e3f/48aef83e-5b19-4ebb-9e8c-1a0f02c09097/0
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay-Hernández; Eva Maria Molin; John D'Auria; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  12. i

    39446.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39446.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/cf202260-1e2c-4b7a-bd9d-08a14606f923/0
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    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  13. i

    6e48996b-2513-46b5-8072-4fe1214e79d0_12.mcf_idx

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 6e48996b-2513-46b5-8072-4fe1214e79d0_12.mcf_idx [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/cb12d129-cde1-4501-a1cb-0dc1d8296142/1
    Explore at:
    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  14. i

    39494.m

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 39494.m [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/da56b858-7c65-4c57-aa66-c955af69260b/0
    Explore at:
    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  15. i

    51c1c911-3826-409e-b427-3d1189cc706c_3.mcf_idx

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 51c1c911-3826-409e-b427-3d1189cc706c_3.mcf_idx [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/53621437-a6f8-4142-9961-6a77cc95e1c4/1
    Explore at:
    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  16. i

    73db5d5a-06b7-4133-9766-d5db6e104835_2.mcf_idx

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 73db5d5a-06b7-4133-9766-d5db6e104835_2.mcf_idx [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/e8d8eec7-a8ad-4346-9ec7-adb392a6800d/1
    Explore at:
    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  17. i

    57dbf133-f42d-4803-a9aa-f26f19c1c324_3.mcf_idx

    • doi.ipk-gatersleben.de
    Updated Aug 8, 2022
    Share
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    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock (2022). 57dbf133-f42d-4803-a9aa-f26f19c1c324_3.mcf_idx [Dataset]. https://doi.ipk-gatersleben.de/DOI/20f482c1-a41e-493b-80ce-7037859a691a/dd0d439c-3991-4c64-925a-1bb7a707d823/1
    Explore at:
    Dataset updated
    Aug 8, 2022
    Dataset provided by
    e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
    Authors
    Anna-Lena Gippert; Hans-Peter Mock; Silvia Madritsch; Patrick Woryna; Sandra Otte; Martina Mayrhofer; Herbert Eigner; Adriana Garibay; Eva-Maria Sehr; Anna-Lena Gippert; Hans-Peter Mock
    License

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

    Description

    Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Food and Nutrition Service (2025). Evaluation of the Direct Certification with Medicaid for Free and Reduced-Price Meals - Year 1 [Dataset]. https://catalog.data.gov/dataset/evaluation-of-the-direct-certification-with-medicaid-for-free-and-reduced-price-meals-year
Organization logo

Evaluation of the Direct Certification with Medicaid for Free and Reduced-Price Meals - Year 1

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Dataset updated
Apr 21, 2025
Dataset provided by
Food and Nutrition Servicehttps://www.fns.usda.gov/
Description

The demonstration of Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) allows authorized States and school districts to use information from Medicaid data files to identify students eligible to receive free or reduced-price (F/RP) National School Lunch Program (NSLP) and School Breakfast Program (SBP) meals. The Food and Nutrition Service (FNS) contracted with Mathematica Policy Research to conduct a study of the first two years of this demonstration to describe the implementation process and explore the effects on certification, participation, Federal reimbursements, and State administrative costs. This report presents the findings from the first year of the demonstration evaluation, school year (SY) 2016–2017.

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