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