I. Data Set Descriptors 
   A. Title: Canopy Processes at HJA. Above canopy variables include: air temperature, relative 
      humidity, water vapor, and leaf wetness from 01-Oct-2024 to 01-Oct-2025
   B. Accession Number: N/A
   C. Description 
      1. Originator(s): 
         Name: Chris Still
         Position:
         Organization: Andrews Forest, Oregon State University
         Address:
         City:
         State:
         Postal Code:
         Phone:
         Email:
         UserID:
      2. Abstract: 
      3. Study Type: 
      4. Study Themes: 
      5. LTER Core Areas: 
      6. Georeferences: 
      7. Submission Date: 
   D. Keywords: 
II. Research Origin Descriptors 
   A. Overall Project Description 
      1. Project Title: 
      2. Principal Investigators: 
         Name:
         Position:
         Organization:
         Address:
         City:
         State:
         Postal Code:
         Phone:
         Email:
         UserID:
      3. Funding Period:  to 
      4. Objectives: 
      5. Abstract: 
         Rationale
          The upper-canopy of forests is known to experience a very different microclimate than the 
             rest of the forest: it is often simultaneously brighter, hotter, windier, and drier. 
             The upper canopy also contains most of the leaf area, and because it absorbs most of 
             the solar radiation, it accounts for the great majority of carbon and water exchanges 
             in most forests. Critically, this is also the zone where most climate variations and 
             stress likely manifest. Finally, the upper canopy is the region of the forest that is 
             sampled by satellite imagery. With intensive canopy microclimate monitoring, we can 
             provide connections to satellite-based imagery at varying temporal and spatial scales 
             in order to scale across the Andrews landscape. A focus on canopy microclimate would 
             thus yield large dividends in our understanding of forest function and its response to 
             climate change. It would complement and leverage ongoing, long-term climate 
             measurements collected in the sub-canopy and at the climate stations located across 
             the Andrews forest, and potentially link with Lidar data on canopy structure and 
             planned soil moisture measurements.
          Approach
          The primary goal of the proposed research is to understand whether and how the forest 
             canopy is ‘de-coupled’ from the understory and connected to larger-scale climate 
             processes, and thus might also be experiencing regional warming and drought and heat 
             stresses. We also hope to demonstrate how canopy microclimate observations can advance 
             fundamental biological understanding of canopy processes and properties and their 
             linkages to atmospheric and sub-canopy dynamics. To achieve these goals, we have 
             established new canopy thermal imaging and microclimate measurements for 
             ecophysiological applications such as monitoring the response of forest tree canopies 
             to climate variations, including heat and drought stress. Link to long-term 
             measurements and other LTER7 projects This project links thematically to numerous 
             ongoing long-term measurements (from phenology to long-term climate) across the 
             Andrews Forest. It also connects to several other LTER7 projects, including the soil 
             moisture measurements, the phenology measurements, and to aspects of the airshed and 
             trophic structure projects.
      6. Funding Source: 
   B. Sub-project Description 
      1. Site Description 
         a. Geographic Location: 
            Coordinates: Latitude 44.216586919; Longitude -122.249657232
         b. Physiographic Region: 
         c. Landform Components: 
         d. Hydrographic Characteristics: 
         e. Topographic Attributes: 
         f. Geology, Lithology and Soils: 
         g. Vegetation Communities: 
         h. History of Land Use and Disturbance: 
         i. Climate: 
      2. Experimental or Sampling Design 
         a. Design Characteristics: 
         b. Permanent Plots: 
         c. Data Collection Duration and Frequency: 
            Beginning of Observations: 
            End of Observations: 
      3. Research Methods 
         a. Field and Laboratory Methods: 
         b. Protocols: 
         c. Instrumentation: 
         d. Taxonomy and Systematics: 
         e. Speclies List: 
         f. Permit History: 
      4. Project Personnel 
         a. Personnel: 
         b. Affiliations: 
III. Data Set Status and Accessibility 
   A. Status 
      1. Latest Update: 18-Dec-2025
      2. Latest Archive Date: 
      3. Latest Metadata Update: 18-Dec-2025
      4. Data Verification Status: 
   B. Accessibility 
      1. Storage Location and Medium: Stored at  
         on media: 
      2. Contact Person: 
         Name:
         Position:
         Organization:
         Address:
         City:
         State:
         Postal Code:
         Phone:
         Email:
         UserID:
      3. Copyright Restrictions: 
      4. Restrictions: 
         a. Release Date: Affiliates: , Public: 
         b. Citation: 
         c. Disclaimer: 
      5. Costs: 
IV. Data Structural Descriptors 
   A. Data Set File 
      1. File Name: dscmet_421_a_5min_2025.csv
      2. Size: 105120 records
      3. File Format: ASCII text (comma-separated value format)
      3a. Delimiters: single comma
      4. Header Information: 5 lines of ASCII text
      5. Alphanumeric Attributes: 
      6. Quality Control Flag Codes: Q = questionable value, I = invalid value (out of range)
      7. Authentication Procedures: 
      8. Calculations: 
      9. Processing History: 
         Software version: GCE Data Toolbox Version 3.9.10 (23-May-2022)
         Data structure version: GCE Data Structure 1.1 (29-Mar-2001)
         Original data files processed: 
            metdat query: SELECT * FROM DSCMET_421_Table105 WHERE LOGGERID = 421 AND TmStamp 
               BETWEEN '2024-10-01 00:05:00' AND '2025-10-01 00:00:00' ORDER BY TmStamp ASC (105082 
               records)
            FINAL_AIRTEMP_QC4SIGMA_leap_ak.csv (8784 records)
         Data processing history:
            18-Dec-2025: new GCE Data Structure 1.1 created ('newstruct')
            18-Dec-2025: imported result set from SQL query on data source 'metdat' ('sql2struct')
            18-Dec-2025: imported all documentation metadata from the template 'LNDB_DscMet', 
               updating descriptors for columns Date, RecNum, LOGGERID, PROGID, LW_MEAN_3000_0_01, 
               LW_MEAN_4000_0_01, LW_MEAN_5600_0_01, AIRTEMP_MEAN_5600_0_01, AIRTEMP_MAX_5600_0_01, 
               RELHUM_MAX_5600_0_01, AIRTEMP_MIN_5600_0_01, RELHUM_MIN_5600_0_01 and 
               RELHUM_MEAN_5600_0_01 ('meta_template')
            18-Dec-2025: updated 8 metadata fields in the Data, Dataset, Project, Site, Status 
               section(s) ('addmeta')
            18-Dec-2025: updated title ('newtitle')
            18-Dec-2025: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
            18-Dec-2025: Name of column TmStamp changed to Date; Name of column LWmV_3000_AVG 
               changed to LW_MEAN_3000_0_01; Name of column LWmV_4000_AVG changed to 
               LW_MEAN_4000_0_01; Name of column LWmV_5000_AVG changed to LW_MEAN_5600_0_01; Name 
               of column AirTC_5000_AVG changed to AIRTEMP_MEAN_5600_0_01; Name of column 
               AirTC_5000_MAX changed to AIRTEMP_MAX_5600_0_01; Name of column RH_5000_MAX changed 
               to RELHUM_MAX_5600_0_01; Name of column AirTC_5000_MIN changed to 
               AIRTEMP_MIN_5600_0_01; Name of column RH_5000_MIN changed to RELHUM_MIN_5600_0_01; 
               Name of column RH_5000_Avg changed to RELHUM_MEAN_5600_0_01; ('apply_template')
            18-Dec-2025: Units of column Date changed from '' to 'serial number'; Units of column 
               RecNum changed from '' to 'none'; Units of column LOGGERID changed from '' to 
               'none'; Units of column PROGID changed from '' to 'none'; Units of column 
               LW_MEAN_3000_0_01 changed from '' to 'mV'; Units of column LW_MEAN_4000_0_01 changed 
               from '' to 'mV'; Units of column LW_MEAN_5600_0_01 changed from '' to 'mV'; Units of 
               column AIRTEMP_MEAN_5600_0_01 changed from '' to 'deg c'; Units of column 
               AIRTEMP_MAX_5600_0_01 changed from '' to 'deg c'; Units of column 
               RELHUM_MAX_5600_0_01 changed from '' to 'percent'; Units of column 
               AIRTEMP_MIN_5600_0_01 changed from '' to 'deg c'; Units of column 
               RELHUM_MIN_5600_0_01 changed from '' to 'percent'; Units of column 
               RELHUM_MEAN_5600_0_01 changed from '' to 'percent'; ('apply_template')
            18-Dec-2025: Data Type of column PROGID changed from 'd' to 'f'; ('apply_template')
            18-Dec-2025: Numeric Type of column LOGGERID changed from 'continous' to 'unspecified'; 
               Numeric Type of column PROGID changed from 'discrete' to 'continuous'; Numeric Type 
               of column LW_MEAN_3000_0_01 changed from 'continous' to 'continuous'; Numeric Type 
               of column LW_MEAN_4000_0_01 changed from 'continous' to 'continuous'; Numeric Type 
               of column LW_MEAN_5600_0_01 changed from 'continous' to 'continuous'; Numeric Type 
               of column AIRTEMP_MEAN_5600_0_01 changed from 'continous' to 'continuous'; Numeric 
               Type of column AIRTEMP_MAX_5600_0_01 changed from 'continous' to 'continuous'; 
               Numeric Type of column RELHUM_MAX_5600_0_01 changed from 'continous' to 
               'continuous'; Numeric Type of column AIRTEMP_MIN_5600_0_01 changed from 'continous' 
               to 'continuous'; Numeric Type of column RELHUM_MIN_5600_0_01 changed from 
               'continous' to 'continuous'; Numeric Type of column RELHUM_MEAN_5600_0_01 changed 
               from 'continous' to 'continuous'; ('apply_template')
            18-Dec-2025: Q/C Criteria of column Date changed from '' to 'x<0='I';isnan(x)='M''; Q/C 
               Criteria of column RecNum changed from '' to 'x<0='I';isnan(x)='M''; Q/C Criteria of 
               column LOGGERID changed from '' to 'flag_notinarray(x,[420,421,422])='I''; Q/C 
               Criteria of column PROGID changed from '' to 'flag_valuechange(x,0.1,0.1,1)='P''; 
               Q/C Criteria of column LW_MEAN_3000_0_01 changed from '' to 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date>=datenum('04/27/
               2018 00:00:00')&col_Date<=datenum('12/06/2018 12:00:00')='I''; Q/C Criteria of 
               column LW_MEAN_4000_0_01 changed from '' to 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date=datenum('02/19/2
               022 11:40:00')='I''; Q/C Criteria of column LW_MEAN_5600_0_01 changed from '' to 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date=datenum('02/19/2
               022 12:35:00')='I''; Q/C Criteria of column AIRTEMP_MEAN_5600_0_01 changed from '' 
               to 'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 
               18:00:00')='I';col_Date>=datenum('12/24/2020 
               08:00:00')&col_Date<=datenum('12/28/2020 
               18:00:00')='I';flag_daterange(col_Date,{'05/16/2023 14:00:00','05/25/2023 
               16:00:00'})='I''; Q/C Criteria of column AIRTEMP_MAX_5600_0_01 changed from '' to 
               'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='I''; Q/C Criteria of column 
               RELHUM_MAX_5600_0_01 changed from '' to 
               'x<5='I';x>105='I';x<10='Q';x>103='Q';isnan(x)='M';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='Q''; Q/C Criteria of column 
               AIRTEMP_MIN_5600_0_01 changed from '' to 
               'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='I''; Q/C Criteria of column 
               RELHUM_MIN_5600_0_01 changed from '' to 
               'x<5='I';x>105='I';x<10='Q';x>103='Q';isnan(x)='M';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='Q''; Q/C Criteria of column 
               RELHUM_MEAN_5600_0_01 changed from '' to 
               'x<5='I';x>105='I';x<10='Q';x>103='Q';isnan(x)='M';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 
               18:00:00')='Q';col_Date>=datenum('05/30/2019 
               23:35:00')&col_Date<=datenum('05/31/2019 
               01:35:00')='I';col_Date>=datenum('05/31/2019 
               05:20:00')&col_Date<=datenum('06/05/2019 17:00:00')='I''; ('apply_template')
            18-Dec-2025: Precision of column Date changed from 0 to 7; Precision of column LOGGERID 
               changed from 2 to 0; Precision of column PROGID changed from 0 to 1; Precision of 
               column LW_MEAN_3000_0_01 changed from 2 to 3; Precision of column LW_MEAN_4000_0_01 
               changed from 2 to 3; Precision of column LW_MEAN_5600_0_01 changed from 2 to 3; 
               ('apply_template')
            18-Dec-2025: Descriptions of columns LW_MEAN_3000_0_01, LW_MEAN_4000_0_01, 
               LW_MEAN_5600_0_01, AIRTEMP_MEAN_5600_0_01, AIRTEMP_MAX_5600_0_01, 
               RELHUM_MAX_5600_0_01, AIRTEMP_MIN_5600_0_01, RELHUM_MIN_5600_0_01 and 
               RELHUM_MEAN_5600_0_01 edited; ('apply_template')
            18-Dec-2025: added column 'Site' at position 1 ('addcol')
            18-Dec-2025: inserted 38 new records with date/time values and NaN/null data values 
               (replicating common values in the non-data columns Site) to fill in date/time 
               interval gaps in the data series and assigned flag 'M' to inserted records 
               ('pad_date_gaps')
            18-Dec-2025: sorted by column Date(ascending) ('sortdata')
            18-Dec-2025: sorted by column Date(ascending) ('sortdata')
            18-Dec-2025: updated 1 metadata fields in the Data section(s) ('addmeta')
            18-Dec-2025: replaced 38 missing values in column LW_MEAN_3000_0_01 with estimated 
               values based on 1D interpolation of LW_MEAN_3000_0_01 as a function of Date using 
               the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) method 
               option, excluding data gaps with more than 5 consecutive missing values, and 
               flagging the estimated values as 'E' ('interp_missing')
            18-Dec-2025: 38 values in 'LW_MEAN_3000_0_01' were updated with new values 
               ('update_data'): changed record 1152 from NaN to 558.600, changed record 3744 from 
               NaN to 273.150, changed record 7200 from NaN to 295.650, changed record 9792 from 
               NaN to 578.400, changed record 12384 from NaN to 684.750, changed record 14400 from 
               NaN to 624.850, changed record 16992 from NaN to 290.400, changed record 19296 from 
               NaN to 291.050, changed record 21600 from NaN to 679.950, changed record 24192 from 
               NaN to 679.350, changed record 26496 from NaN to 707.150, changed record 28800 from 
               NaN to 517.900, changed record 31680 from NaN to 277.550, changed record 33984 from 
               NaN to 272.750, changed record 36288 from NaN to 503.500, changed record 38592 from 
               NaN to 276.250, changed record 40608 from NaN to 438.500, changed record 42912 from 
               NaN to 291.250, changed record 45216 from NaN to 279.900, changed record 47808 from 
               NaN to 578.850, changed record 50112 from NaN to 431.100, changed record 52992 from 
               NaN to 363.600, changed record 55584 from NaN to 274.200, changed record 58176 from 
               NaN to 275.550, changed record 60768 from NaN to 274.150, changed record 63936 from 
               NaN to 268.650, changed record 66240 from NaN to 276.550, changed record 69120 from 
               NaN to 269.300, changed record 72000 from NaN to 270.700, changed record 75456 from 
               NaN to 269.900, changed record 78624 from NaN to 270.050, changed record 82944 from 
               NaN to 267.850, changed record 86688 from NaN to 269.750, changed record 90144 from 
               NaN to 270.750, changed record 93024 from NaN to 271.300, changed record 97056 from 
               NaN to 268.650, changed record 100224 from NaN to 271.300, changed record 103392 
               from NaN to 271.400
            18-Dec-2025: Q/C flagging criteria applied for column(s) LW_MEAN_3000_0_01, 'flags' 
               field updated ('dataflag')
            18-Dec-2025: replaced 38 missing values in column LW_MEAN_4000_0_01 with estimated 
               values based on 1D interpolation of LW_MEAN_4000_0_01 as a function of Date using 
               the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) method 
               option, excluding data gaps with more than 5 consecutive missing values, and 
               flagging the estimated values as 'E' ('interp_missing')
            18-Dec-2025: 38 values in 'LW_MEAN_4000_0_01' were updated with new values 
               ('update_data'): changed record 1152 from NaN to 591.100, changed record 3744 from 
               NaN to 268.450, changed record 7200 from NaN to 270.400, changed record 9792 from 
               NaN to 644.700, changed record 12384 from NaN to 637.750, changed record 14400 from 
               NaN to 551.750, changed record 16992 from NaN to 277.500, changed record 19296 from 
               NaN to 316.450, changed record 21600 from NaN to 660.350, changed record 24192 from 
               NaN to 679.550, changed record 26496 from NaN to 689.950, changed record 28800 from 
               NaN to 423.800, changed record 31680 from NaN to 273.500, changed record 33984 from 
               NaN to 265.300, changed record 36288 from NaN to 318.050, changed record 38592 from 
               NaN to 269.550, changed record 40608 from NaN to 461.000, changed record 42912 from 
               NaN to 341.150, changed record 45216 from NaN to 319.350, changed record 47808 from 
               NaN to 659.800, changed record 50112 from NaN to 477.100, changed record 52992 from 
               NaN to 461.150, changed record 55584 from NaN to 269.100, changed record 58176 from 
               NaN to 270.850, changed record 60768 from NaN to 271.200, changed record 63936 from 
               NaN to 263.900, changed record 66240 from NaN to 272.500, changed record 69120 from 
               NaN to 264.500, changed record 72000 from NaN to 266.650, changed record 75456 from 
               NaN to 265.150, changed record 78624 from NaN to 265.450, changed record 82944 from 
               NaN to 263.000, changed record 86688 from NaN to 265.350, changed record 90144 from 
               NaN to 265.950, changed record 93024 from NaN to 266.550, changed record 97056 from 
               NaN to 264.350, changed record 100224 from NaN to 267.250, changed record 103392 
               from NaN to 266.600
            18-Dec-2025: Q/C flagging criteria applied for column(s) LW_MEAN_4000_0_01, 'flags' 
               field updated ('dataflag')
            18-Dec-2025: replaced 38 missing values in column LW_MEAN_5600_0_01 with estimated 
               values based on 1D interpolation of LW_MEAN_5600_0_01 as a function of Date using 
               the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) method 
               option, excluding data gaps with more than 5 consecutive missing values, and 
               flagging the estimated values as 'E' ('interp_missing')
            18-Dec-2025: 38 values in 'LW_MEAN_5600_0_01' were updated with new values 
               ('update_data'): changed record 1152 from NaN to 360.650, changed record 3744 from 
               NaN to 268.750, changed record 7200 from NaN to 328.950, changed record 9792 from 
               NaN to 360.050, changed record 12384 from NaN to 605.850, changed record 14400 from 
               NaN to 451.950, changed record 16992 from NaN to 290.750, changed record 19296 from 
               NaN to 478.800, changed record 21600 from NaN to 576.100, changed record 24192 from 
               NaN to 637.750, changed record 26496 from NaN to 921.000, changed record 28800 from 
               NaN to 624.650, changed record 31680 from NaN to 280.200, changed record 33984 from 
               NaN to 263.650, changed record 36288 from NaN to 329.700, changed record 38592 from 
               NaN to 272.550, changed record 40608 from NaN to 402.900, changed record 42912 from 
               NaN to 560.400, changed record 45216 from NaN to 485.050, changed record 47808 from 
               NaN to 649.250, changed record 50112 from NaN to 339.800, changed record 52992 from 
               NaN to 526.150, changed record 55584 from NaN to 269.000, changed record 58176 from 
               NaN to 335.100, changed record 60768 from NaN to 312.750, changed record 63936 from 
               NaN to 260.700, changed record 66240 from NaN to 394.250, changed record 69120 from 
               NaN to 261.800, changed record 72000 from NaN to 263.950, changed record 75456 from 
               NaN to 261.750, changed record 78624 from NaN to 263.200, changed record 82944 from 
               NaN to 259.700, changed record 86688 from NaN to 261.950, changed record 90144 from 
               NaN to 263.850, changed record 93024 from NaN to 264.550, changed record 97056 from 
               NaN to 261.200, changed record 100224 from NaN to 263.850, changed record 103392 
               from NaN to 263.900
            18-Dec-2025: Q/C flagging criteria applied for column(s) LW_MEAN_5600_0_01, 'flags' 
               field updated ('dataflag')
            18-Dec-2025: replaced 38 missing values in column AIRTEMP_MEAN_5600_0_01 with estimated 
               values based on 1D interpolation of AIRTEMP_MEAN_5600_0_01 as a function of Date 
               using the MATLAB 9.913 function 'interp1' with the 'linear' (linear interpolation) 
               method option, excluding data gaps with more than 5 consecutive missing values, and 
               flagging the estimated values as 'E' ('interp_missing')
            18-Dec-2025: 38 values in 'AIRTEMP_MEAN_5600_0_01' were updated with new values 
               ('update_data'): changed record 1152 from NaN to 8.710, changed record 3744 from NaN 
               to 10.390, changed record 7200 from NaN to 9.860, changed record 9792 from NaN to 
               4.452, changed record 12384 from NaN to 5.432, changed record 14400 from NaN to 
               1.734, changed record 16992 from NaN to -1.330, changed record 19296 from NaN to 
               3.410, changed record 21600 from NaN to 2.380, changed record 24192 from NaN to 
               7.248, changed record 26496 from NaN to -0.047, changed record 28800 from NaN to 
               0.568, changed record 31680 from NaN to -2.523, changed record 33984 from NaN to 
               -3.145, changed record 36288 from NaN to -0.299, changed record 38592 from NaN to 
               -6.116, changed record 40608 from NaN to 2.755, changed record 42912 from NaN to 
               2.987, changed record 45216 from NaN to -0.984, changed record 47808 from NaN to 
               0.745, changed record 50112 from NaN to 6.499, changed record 52992 from NaN to 
               2.800, changed record 55584 from NaN to 5.557, changed record 58176 from NaN to 
               6.659, changed record 60768 from NaN to 4.980, changed record 63936 from NaN to 
               12.710, changed record 66240 from NaN to 7.209, changed record 69120 from NaN to 
               14.695, changed record 72000 from NaN to 16.945, changed record 75456 from NaN to 
               11.980, changed record 78624 from NaN to 20.980, changed record 82944 from NaN to 
               19.675, changed record 86688 from NaN to 17.055, changed record 90144 from NaN to 
               16.365, changed record 93024 from NaN to 13.520, changed record 97056 from NaN to 
               21.280, changed record 100224 from NaN to 15.840, changed record 103392 from NaN to 
               14.240
            18-Dec-2025: Q/C flagging criteria applied for column(s) AIRTEMP_MEAN_5600_0_01, 
               'flags' field updated ('dataflag')
            18-Dec-2025: Year, Month, Day, Hour and Minute datetime columns added after column Date 
               ('add_datepartcols')
            18-Dec-2025: sorted by columns Month(ascending), Day(ascending), Hour(ascending) 
               ('sortdata')
            18-Dec-2025: performed a lookup join of columns Month, Day and Hour on columns Month, 
               Day and Hour from a second structure, returning column(s) Site, Date, Year, Minute, 
               RecNum, LOGGERID, PROGID, RH_5000, BattV_Avg, LW_MEAN_3000_0_01, LW_MEAN_4000_0_01, 
               LW_MEAN_5600_0_01, AIRTEMP_MEAN_5600_0_01, AIR_56N_AVG, AIR_56S_AVG, 
               AIRTEMP_MAX_5600_0_01, RELHUM_MAX_5600_0_01, AIR_56N_MAX, AIR_56S_MAX, 
               AIRTEMP_MIN_5600_0_01, RELHUM_MIN_5600_0_01, AIR_56N_MIN, AIR_56S_MIN and 
               RELHUM_MEAN_5600_0_01 from the first structure and column(s) MEAN, STD, MIN, MAX, 
               MEDIAN, FOURLO and FOURHI from the second structure (105120 rows) ('joindata')
            18-Dec-2025: sorted by column Date(ascending) ('sortdata')
            18-Dec-2025: imported all documentation metadata from the template 'LNDB_DscMet', 
               updating descriptors for columns Date, RecNum, LOGGERID, PROGID, LW_MEAN_3000_0_01, 
               LW_MEAN_4000_0_01, LW_MEAN_5600_0_01, AIRTEMP_MEAN_5600_0_01, AIRTEMP_MAX_5600_0_01, 
               RELHUM_MAX_5600_0_01, AIRTEMP_MIN_5600_0_01, RELHUM_MIN_5600_0_01 and 
               RELHUM_MEAN_5600_0_01 ('meta_template')
            18-Dec-2025: updated 8 metadata fields in the Data, Dataset, Project, Site, Status 
               section(s) ('addmeta')
            18-Dec-2025: updated title ('newtitle')
            18-Dec-2025: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
            18-Dec-2025: Q/C Criteria of column Date changed from 'x<0='I';isnan(x)='M';manual' to 
               'x<0='I';isnan(x)='M''; Q/C Criteria of column RecNum changed from 
               'x<0='I';isnan(x)='M';manual' to 'x<0='I';isnan(x)='M''; Q/C Criteria of column 
               LOGGERID changed from 'flag_notinarray(x,[420,421,422])='I';manual' to 
               'flag_notinarray(x,[420,421,422])='I''; Q/C Criteria of column PROGID changed from 
               'flag_valuechange(x,0.1,0.1,1)='P';manual' to 'flag_valuechange(x,0.1,0.1,1)='P''; 
               Q/C Criteria of column LW_MEAN_3000_0_01 changed from 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date>=datenum('04/27/
               2018 00:00:00')&col_Date<=datenum('12/06/2018 12:00:00')='I';manual' to 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date>=datenum('04/27/
               2018 00:00:00')&col_Date<=datenum('12/06/2018 12:00:00')='I''; Q/C Criteria of 
               column LW_MEAN_4000_0_01 changed from 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date=datenum('02/19/2
               022 11:40:00')='I';manual' to 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date=datenum('02/19/2
               022 11:40:00')='I''; Q/C Criteria of column LW_MEAN_5600_0_01 changed from 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date=datenum('02/19/2
               022 12:35:00')='I';manual' to 
               'x<=208='I';x>=1250='I';x<=234='Q';x>=1000='Q';isnan(x)='M';col_Date=datenum('02/19/2
               022 12:35:00')='I''; Q/C Criteria of column AIRTEMP_MEAN_5600_0_01 changed from 
               'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 
               18:00:00')='I';col_Date>=datenum('12/24/2020 
               08:00:00')&col_Date<=datenum('12/28/2020 
               18:00:00')='I';flag_daterange(col_Date,{'05/16/2023 14:00:00','05/25/2023 
               16:00:00'})='I';manual' to 'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) 
               ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 
               18:00:00')='I';col_Date>=datenum('12/24/2020 
               08:00:00')&col_Date<=datenum('12/28/2020 
               18:00:00')='I';flag_daterange(col_Date,{'05/16/2023 14:00:00','05/25/2023 
               16:00:00'})='I''; Q/C Criteria of column AIRTEMP_MAX_5600_0_01 changed from 
               'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='I';manual' to 
               'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='I''; Q/C Criteria of column 
               AIRTEMP_MIN_5600_0_01 changed from 
               'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='I';manual' to 
               'x<=-35='I';x>50='I';flag_valuechange(x,6.5,6.5,1) ='V';flag_valuechange(x,8,8,1) 
               ='I';isnan(x)='M';x<col_FOURLO='Q';x>col_FOURHI='Q';col_Date>=datenum('06/20/2018 
               16:00:00')&col_Date<=datenum('06/24/2018 
               12:00:00')='I';col_Date>=datenum('12/06/2018 
               11:30:00')&col_Date<=datenum('01/28/2019 18:00:00')='I''; ('apply_template')
            18-Dec-2025: deleted columns Month, Day, Hour, Year, Minute, RecNum, MEAN, STD, MIN, 
               MAX and MEDIAN from the structure ('deletecols')
            18-Dec-2025: copied QA/QC flags from column(s) RELHUM_MEAN_5600_0_01 to column(s) 
               RELHUM_MAX_5600_0_01 and RELHUM_MIN_5600_0_01, merging copied flags with any 
               existing flags, and set QA/QC criteria for destination column(s) to 'manual' 
               ('copyflags')
            18-Dec-2025: added column 'DEWPT_MEAN_5600_0_01' at position 12 ('addcol')
            18-Dec-2025: copied QA/QC flags from column(s) AIRTEMP_MEAN_5600_0_01 and 
               RELHUM_MEAN_5600_0_01 to column(s) DEWPT_MEAN_5600_0_01, merging copied flags with 
               any existing flags, and set QA/QC criteria for destination column(s) to 'manual' 
               ('copyflags')
            18-Dec-2025: added column 'SATVAPAIR_MEAN_5600_0_01' at position 25 ('addcol')
            18-Dec-2025: added column 'SATVAPDEW_MEAN_5600_0_01' at position 26 ('addcol')
            18-Dec-2025: copied QA/QC flags from column(s) DEWPT_MEAN_5600_0_01 to column(s) 
               SATVAPDEW_MEAN_5600_0_01, merging copied flags with any existing flags, and set 
               QA/QC criteria for destination column(s) to 'manual' ('copyflags')
            18-Dec-2025: added column 'VPD_MEAN_5600_0_01' at position 27 ('addcol')
            18-Dec-2025: copied QA/QC flags from column(s) AIRTEMP_MEAN_5600_0_01 and 
               RELHUM_MEAN_5600_0_01 to column(s) VPD_MEAN_5600_0_01, merging copied flags with any 
               existing flags, and set QA/QC criteria for destination column(s) to 'manual' 
               ('copyflags')
            18-Dec-2025: documented flagged and missing values in columns Site, LOGGERID, PROGID, 
               RH_5000, BattV_Avg, AIR_56N_AVG, DEWPT_MEAN_5600_0_01, AIR_56S_AVG, 
               AIRTEMP_MAX_5600_0_01, RELHUM_MAX_5600_0_01, AIR_56N_MAX, AIR_56S_MAX, 
               AIRTEMP_MIN_5600_0_01, RELHUM_MIN_5600_0_01, AIR_56N_MIN, AIR_56S_MIN, 
               RELHUM_MEAN_5600_0_01, SATVAPDEW_MEAN_5600_0_01 and VPD_MEAN_5600_0_01 as data set 
               anomalies in the metadata ('add_anomalies')
            18-Dec-2025: updated title ('newtitle')
            18-Dec-2025: updated 1 metadata fields in the Dataset section(s) ('addmeta')
            18-Dec-2025: updated title ('newtitle')
            18-Dec-2025: updated 1 metadata fields in the Dataset section(s) ('addmeta')
            18-Dec-2025: deleted column Date from the structure ('deletecols')
            18-Dec-2025: added column 'Date' at position 2 ('addcol')
            18-Dec-2025: flags for columns LOGGERID, PROGID, RH_5000, BattV_Avg, LW_MEAN_3000_0_01, 
               LW_MEAN_4000_0_01, LW_MEAN_5600_0_01, AIRTEMP_MEAN_5600_0_01, AIR_56N_AVG, 
               DEWPT_MEAN_5600_0_01, AIR_56S_AVG, AIRTEMP_MAX_5600_0_01, RELHUM_MAX_5600_0_01, 
               AIR_56N_MAX, AIR_56S_MAX, AIRTEMP_MIN_5600_0_01, RELHUM_MIN_5600_0_01, AIR_56N_MIN, 
               AIR_56S_MIN, RELHUM_MEAN_5600_0_01, FOURLO, FOURHI, SATVAPAIR_MEAN_5600_0_01, 
               SATVAPDEW_MEAN_5600_0_01 and VPD_MEAN_5600_0_01 converted to data columns, flag 
               codes updated in metadata ('flags2cols')
            18-Dec-2025: updated 6 metadata fields in the Data section(s) ('addmeta')
            18-Dec-2025: updated 15 metadata fields in the Status, Data sections to reflect 
               attribute metadata ('updatecols')
            18-Dec-2025: parsed and formatted metadata ('listmeta')
   B. Variable Information 
      1. Variable Name: 
         column  1. Site
         column  2. Date
         column  3. LOGGERID
         column  4. Flag_LOGGERID
         column  5. PROGID
         column  6. Flag_PROGID
         column  7. RH_5000
         column  8. Flag_RH_5000
         column  9. BattV_Avg
         column 10. Flag_BattV_Avg
         column 11. LW_MEAN_3000_0_01
         column 12. Flag_LW_MEAN_3000_0_01
         column 13. LW_MEAN_4000_0_01
         column 14. Flag_LW_MEAN_4000_0_01
         column 15. LW_MEAN_5600_0_01
         column 16. Flag_LW_MEAN_5600_0_01
         column 17. AIRTEMP_MEAN_5600_0_01
         column 18. Flag_AIRTEMP_MEAN_5600_0_01
         column 19. AIR_56N_AVG
         column 20. Flag_AIR_56N_AVG
         column 21. DEWPT_MEAN_5600_0_01
         column 22. Flag_DEWPT_MEAN_5600_0_01
         column 23. AIR_56S_AVG
         column 24. Flag_AIR_56S_AVG
         column 25. AIRTEMP_MAX_5600_0_01
         column 26. Flag_AIRTEMP_MAX_5600_0_01
         column 27. RELHUM_MAX_5600_0_01
         column 28. Flag_RELHUM_MAX_5600_0_01
         column 29. AIR_56N_MAX
         column 30. Flag_AIR_56N_MAX
         column 31. AIR_56S_MAX
         column 32. Flag_AIR_56S_MAX
         column 33. AIRTEMP_MIN_5600_0_01
         column 34. Flag_AIRTEMP_MIN_5600_0_01
         column 35. RELHUM_MIN_5600_0_01
         column 36. Flag_RELHUM_MIN_5600_0_01
         column 37. AIR_56N_MIN
         column 38. Flag_AIR_56N_MIN
         column 39. AIR_56S_MIN
         column 40. Flag_AIR_56S_MIN
         column 41. RELHUM_MEAN_5600_0_01
         column 42. Flag_RELHUM_MEAN_5600_0_01
         column 43. FOURLO
         column 44. Flag_FOURLO
         column 45. FOURHI
         column 46. Flag_FOURHI
         column 47. SATVAPAIR_MEAN_5600_0_01
         column 48. Flag_SATVAPAIR_MEAN_5600_0_01
         column 49. SATVAPDEW_MEAN_5600_0_01
         column 50. Flag_SATVAPDEW_MEAN_5600_0_01
         column 51. VPD_MEAN_5600_0_01
         column 52. Flag_VPD_MEAN_5600_0_01
      2. Variable Definition: 
         column  1. Site code
         column  2. Round off corrected corrected serial date
         column  3. LOGGERID
         column  4. QA/QC flags for LOGGERID (flagging criteria, where "x" is LOGGERID: 
            flag_notinarray(x,[420,421,422])="I")
         column  5. PROGID
         column  6. QA/QC flags for PROGID (flagging criteria, where "x" is PROGID: 
            flag_valuechange(x,0.1,0.1,1)="P")
         column  7. RH_5000
         column  8. QA/QC flags for RH_5000 (flagging criteria, where "x" is RH_5000: manual)
         column  9. BattV_Avg
         column 10. QA/QC flags for BattV_Avg (flagging criteria, where "x" is BattV_Avg: manual)
         column 11. Leaf wetness voltage
         column 12. QA/QC flags for Leaf wetness voltage (flagging criteria, where "x" is 
            LW_MEAN_3000_0_01: x<=208="I", x>=1250="I", x<=234="Q", x>=1000="Q", isnan(x)="M", 
            Date>=datenum("04/27/2018 00:00:00")&Date<=datenum("12/06/2018 12:00:00")="I")
         column 13. Leaf wetness voltage
         column 14. QA/QC flags for Leaf wetness voltage (flagging criteria, where "x" is 
            LW_MEAN_4000_0_01: x<=208="I", x>=1250="I", x<=234="Q", x>=1000="Q", isnan(x)="M", 
            Date=datenum("02/19/2022 11:40:00")="I")
         column 15. Leaf wetness voltage
         column 16. QA/QC flags for Leaf wetness voltage (flagging criteria, where "x" is 
            LW_MEAN_5600_0_01: x<=208="I", x>=1250="I", x<=234="Q", x>=1000="Q", isnan(x)="M", 
            Date=datenum("02/19/2022 12:35:00")="I")
         column 17. Mean fan-aspirated air temperature. 2021-05-05 calibrated head.
         column 18. QA/QC flags for Mean fan-aspirated air temperature. 2021-05-05 calibrated head. 
            (flagging criteria, where "x" is AIRTEMP_MEAN_5600_0_01: x<=-35="I", x>50="I", 
            flag_valuechange(x,6.5,6.5,1) ="V", flag_valuechange(x,8,8,1) ="I", isnan(x)="M", 
            x<FOURLO="Q", x>FOURHI="Q", Date>=datenum("06/20/2018 
            16:00:00")&Date<=datenum("06/24/2018 12:00:00")="I", Date>=datenum("12/06/2018 
            11:30:00")&Date<=datenum("01/28/2019 18:00:00")="I", Date>=datenum("12/24/2020 
            08:00:00")&Date<=datenum("12/28/2020 18:00:00")="I", flag_daterange(Date,{"05/16/2023 
            14:00:00","05/25/2023 16:00:00"})="I")
         column 19. AIR_56N_AVG
         column 20. QA/QC flags for AIR_56N_AVG (flagging criteria, where "x" is AIR_56N_AVG: 
            manual)
         column 21. Calculated Dew Point (from air temperature and rel humidity)
         column 22. QA/QC flags for Calculated Dew Point (from air temperature and rel humidity) 
            (flagging criteria, where "x" is DEWPT_MEAN_5600_0_01: manual)
         column 23. AIR_56S_AVG
         column 24. QA/QC flags for AIR_56S_AVG (flagging criteria, where "x" is AIR_56S_AVG: 
            manual)
         column 25. Max fan-aspirated air temperature. 2021-05-05 calibrated head.
         column 26. QA/QC flags for Max fan-aspirated air temperature. 2021-05-05 calibrated head. 
            (flagging criteria, where "x" is AIRTEMP_MAX_5600_0_01: x<=-35="I", x>50="I", 
            flag_valuechange(x,6.5,6.5,1) ="V", flag_valuechange(x,8,8,1) ="I", isnan(x)="M", 
            x<FOURLO="Q", x>FOURHI="Q", Date>=datenum("06/20/2018 
            16:00:00")&Date<=datenum("06/24/2018 12:00:00")="I", Date>=datenum("12/06/2018 
            11:30:00")&Date<=datenum("01/28/2019 18:00:00")="I")
         column 27. Max relative humidity. 2021-05-05 calibrated head.
         column 28. QA/QC flags for Max relative humidity. 2021-05-05 calibrated head. (flagging 
            criteria, where "x" is RELHUM_MAX_5600_0_01: x<5="I", x>105="I", x<10="Q", x>103="Q", 
            isnan(x)="M", Date>=datenum("06/20/2018 16:00:00")&Date<=datenum("06/24/2018 
            12:00:00")="I", Date>=datenum("12/06/2018 11:30:00")&Date<=datenum("01/28/2019 
            18:00:00")="Q", manual)
         column 29. AIR_56N_MAX
         column 30. QA/QC flags for AIR_56N_MAX (flagging criteria, where "x" is AIR_56N_MAX: 
            manual)
         column 31. AIR_56S_MAX
         column 32. QA/QC flags for AIR_56S_MAX (flagging criteria, where "x" is AIR_56S_MAX: 
            manual)
         column 33. Min fan-aspirated air temperature. 2021-05-05 calibrated head.
         column 34. QA/QC flags for Min fan-aspirated air temperature. 2021-05-05 calibrated head. 
            (flagging criteria, where "x" is AIRTEMP_MIN_5600_0_01: x<=-35="I", x>50="I", 
            flag_valuechange(x,6.5,6.5,1) ="V", flag_valuechange(x,8,8,1) ="I", isnan(x)="M", 
            x<FOURLO="Q", x>FOURHI="Q", Date>=datenum("06/20/2018 
            16:00:00")&Date<=datenum("06/24/2018 12:00:00")="I", Date>=datenum("12/06/2018 
            11:30:00")&Date<=datenum("01/28/2019 18:00:00")="I")
         column 35. Min relative humidity. 2021-05-05 calibrated head.
         column 36. QA/QC flags for Min relative humidity. 2021-05-05 calibrated head. (flagging 
            criteria, where "x" is RELHUM_MIN_5600_0_01: x<5="I", x>105="I", x<10="Q", x>103="Q", 
            isnan(x)="M", Date>=datenum("06/20/2018 16:00:00")&Date<=datenum("06/24/2018 
            12:00:00")="I", Date>=datenum("12/06/2018 11:30:00")&Date<=datenum("01/28/2019 
            18:00:00")="Q", manual)
         column 37. AIR_56N_MIN
         column 38. QA/QC flags for AIR_56N_MIN (flagging criteria, where "x" is AIR_56N_MIN: 
            manual)
         column 39. AIR_56S_MIN
         column 40. QA/QC flags for AIR_56S_MIN (flagging criteria, where "x" is AIR_56S_MIN: 
            manual)
         column 41. Mean relative humidity. 2021-05-05 calibrated head.
         column 42. QA/QC flags for Mean relative humidity. 2021-05-05 calibrated head. (flagging 
            criteria, where "x" is RELHUM_MEAN_5600_0_01: x<5="I", x>105="I", x<10="Q", x>103="Q", 
            isnan(x)="M", Date>=datenum("06/20/2018 16:00:00")&Date<=datenum("06/24/2018 
            12:00:00")="I", Date>=datenum("12/06/2018 11:30:00")&Date<=datenum("01/28/2019 
            18:00:00")="Q", Date>=datenum("05/30/2019 23:35:00")&Date<=datenum("05/31/2019 
            01:35:00")="I", Date>=datenum("05/31/2019 05:20:00")&Date<=datenum("06/05/2019 
            17:00:00")="I")
         column 43. Air temperature 4*std lower of mean air temperature (lower bound)
         column 44. QA/QC flags for Air temperature 4*std lower of mean air temperature (lower 
            bound) (flagging criteria, where "x" is FOURLO: x>FOURHI="I", x>MEAN="I", x>MEDIAN="I")
         column 45. Air temperature 4*std greater than mean air temperature
         column 46. QA/QC flags for Air temperature 4*std greater than mean air temperature 
            (flagging criteria, where "x" is FOURHI: x<FOURLO="I", X<MEAN="I", x<MEDIAN="I")
         column 47. Saturation vapor pressure or vapor pressure at air temp
         column 48. QA/QC flags for Saturation vapor pressure or vapor pressure at air temp 
            (flagging criteria, where "x" is SATVAPAIR_MEAN_5600_0_01: )
         column 49. Actual vapor pressure or vapor pressure at dewpoint temp
         column 50. QA/QC flags for Actual vapor pressure or vapor pressure at dewpoint temp 
            (flagging criteria, where "x" is SATVAPDEW_MEAN_5600_0_01: manual)
         column 51. Vapor pressure deficit
         column 52. QA/QC flags for Vapor pressure deficit (flagging criteria, where "x" is 
            VPD_MEAN_5600_0_01: manual)
      3. Units of Measurement: 
         column  1. 
         column  2. yyyy-MM-dd HH:mm:ss
         column  3. none
         column  4. none
         column  5. none
         column  6. none
         column  7. 
         column  8. none
         column  9. 
         column 10. none
         column 11. mV
         column 12. none
         column 13. mV
         column 14. none
         column 15. mV
         column 16. none
         column 17. deg c
         column 18. none
         column 19. 
         column 20. none
         column 21. deg c
         column 22. none
         column 23. 
         column 24. none
         column 25. deg c
         column 26. none
         column 27. percent
         column 28. none
         column 29. 
         column 30. none
         column 31. 
         column 32. none
         column 33. deg c
         column 34. none
         column 35. percent
         column 36. none
         column 37. 
         column 38. none
         column 39. 
         column 40. none
         column 41. percent
         column 42. none
         column 43. deg c
         column 44. none
         column 45. deg c
         column 46. none
         column 47. mb
         column 48. none
         column 49. mb
         column 50. none
         column 51. mb
         column 52. none
      4. Data Type 
         a. Storage Type: 
            column  1. string
            column  2. string
            column  3. floating-point
            column  4. string
            column  5. floating-point
            column  6. string
            column  7. floating-point
            column  8. string
            column  9. floating-point
            column 10. string
            column 11. floating-point
            column 12. string
            column 13. floating-point
            column 14. string
            column 15. floating-point
            column 16. string
            column 17. floating-point
            column 18. string
            column 19. floating-point
            column 20. string
            column 21. floating-point
            column 22. string
            column 23. floating-point
            column 24. string
            column 25. floating-point
            column 26. string
            column 27. floating-point
            column 28. string
            column 29. floating-point
            column 30. string
            column 31. floating-point
            column 32. string
            column 33. floating-point
            column 34. string
            column 35. floating-point
            column 36. string
            column 37. floating-point
            column 38. string
            column 39. floating-point
            column 40. string
            column 41. floating-point
            column 42. string
            column 43. floating-point
            column 44. string
            column 45. floating-point
            column 46. string
            column 47. floating-point
            column 48. string
            column 49. floating-point
            column 50. string
            column 51. floating-point
            column 52. string
         b. Variable Codes: 
            Flag_LOGGERID: I = invalid value (out of range)
            Flag_RH_5000: M = unspecified
            Flag_BattV_Avg: M = unspecified
            Flag_AIR_56N_AVG: M = unspecified
            Flag_DEWPT_MEAN_5600_0_01: M = unspecified, Q = questionable value
            Flag_AIR_56S_AVG: M = unspecified
            Flag_AIRTEMP_MAX_5600_0_01: M = unspecified
            Flag_RELHUM_MAX_5600_0_01: M = unspecified, Q = questionable value
            Flag_AIR_56N_MAX: M = unspecified
            Flag_AIR_56S_MAX: M = unspecified
            Flag_AIRTEMP_MIN_5600_0_01: M = unspecified
            Flag_RELHUM_MIN_5600_0_01: M = unspecified, Q = questionable value
            Flag_AIR_56N_MIN: M = unspecified
            Flag_AIR_56S_MIN: M = unspecified
            Flag_RELHUM_MEAN_5600_0_01: M = unspecified, Q = questionable value
            Flag_SATVAPDEW_MEAN_5600_0_01: M = unspecified, Q = questionable value
            Flag_VPD_MEAN_5600_0_01: M = unspecified, Q = questionable value
         c. Numeric Range: 
            column  1. (none)
            column  2. (none)
            column  3. 421 to 421
            column  4. (none)
            column  5. 16464 to 16464
            column  6. (none)
            column  7. (none)
            column  8. (none)
            column  9. 12.59 to 14.8
            column 10. (none)
            column 11. 263.7 to 873
            column 12. (none)
            column 13. 259 to 918
            column 14. (none)
            column 15. 255.7 to 990
            column 16. (none)
            column 17. -8.58 to 38.66
            column 18. (none)
            column 19. -8.62 to 39.13
            column 20. (none)
            column 21. -13.3017 to 19.1049
            column 22. (none)
            column 23. -8.73 to 42.06
            column 24. (none)
            column 25. -8.49 to 39.02
            column 26. (none)
            column 27. 8.78 to 99.4
            column 28. (none)
            column 29. -8.56 to 39.3
            column 30. (none)
            column 31. -8.69 to 42.22
            column 32. (none)
            column 33. -8.63 to 38.38
            column 34. (none)
            column 35. 8.48 to 99.3
            column 36. (none)
            column 37. -8.71 to 39.04
            column 38. (none)
            column 39. -8.78 to 41.58
            column 40. (none)
            column 41. 8.65 to 99.3
            column 42. (none)
            column 43. -18 to 3.91
            column 44. (none)
            column 45. 14.15 to 45
            column 46. (none)
            column 47. 3.1955 to 68.6368
            column 48. (none)
            column 49. 2.1904 to 22.1157
            column 50. (none)
            column 51. 0.036557 to 60.9322
            column 52. (none)
         d. Missing Value Code: NaN
      5. Data Format 
         a. Column Type: 
            column  1. text
            column  2. text
            column  3. numerical
            column  4. text
            column  5. numerical
            column  6. text
            column  7. numerical
            column  8. text
            column  9. numerical
            column 10. text
            column 11. numerical
            column 12. text
            column 13. numerical
            column 14. text
            column 15. numerical
            column 16. text
            column 17. numerical
            column 18. text
            column 19. numerical
            column 20. text
            column 21. numerical
            column 22. text
            column 23. numerical
            column 24. text
            column 25. numerical
            column 26. text
            column 27. numerical
            column 28. text
            column 29. numerical
            column 30. text
            column 31. numerical
            column 32. text
            column 33. numerical
            column 34. text
            column 35. numerical
            column 36. text
            column 37. numerical
            column 38. text
            column 39. numerical
            column 40. text
            column 41. numerical
            column 42. text
            column 43. numerical
            column 44. text
            column 45. numerical
            column 46. text
            column 47. numerical
            column 48. text
            column 49. numerical
            column 50. text
            column 51. numerical
            column 52. text
         b. Number of Columns: 52
         c. Decimal Places: 
            column  1. 0
            column  2. 0
            column  3. 0
            column  4. 0
            column  5. 1
            column  6. 0
            column  7. 0
            column  8. 0
            column  9. 3
            column 10. 0
            column 11. 3
            column 12. 0
            column 13. 3
            column 14. 0
            column 15. 3
            column 16. 0
            column 17. 3
            column 18. 0
            column 19. 3
            column 20. 0
            column 21. 3
            column 22. 0
            column 23. 3
            column 24. 0
            column 25. 3
            column 26. 0
            column 27. 3
            column 28. 0
            column 29. 3
            column 30. 0
            column 31. 3
            column 32. 0
            column 33. 3
            column 34. 0
            column 35. 3
            column 36. 0
            column 37. 3
            column 38. 0
            column 39. 3
            column 40. 0
            column 41. 3
            column 42. 0
            column 43. 4
            column 44. 0
            column 45. 4
            column 46. 0
            column 47. 3
            column 48. 0
            column 49. 3
            column 50. 0
            column 51. 3
            column 52. 0
      6. Logical Variable Type: 
         column  1. nominal (none)
         column  2. datetime (none)
         column  3. data (unspecified)
         column  4. coded value (none)
         column  5. data (continuous)
         column  6. coded value (none)
         column  7. data (continous)
         column  8. coded value (none)
         column  9. data (continous)
         column 10. coded value (none)
         column 11. data (continuous)
         column 12. coded value (none)
         column 13. data (continuous)
         column 14. coded value (none)
         column 15. data (continuous)
         column 16. coded value (none)
         column 17. data (continuous)
         column 18. coded value (none)
         column 19. data (continous)
         column 20. coded value (none)
         column 21. calculation (continuous)
         column 22. coded value (none)
         column 23. data (continous)
         column 24. coded value (none)
         column 25. data (continuous)
         column 26. coded value (none)
         column 27. data (continuous)
         column 28. coded value (none)
         column 29. data (continous)
         column 30. coded value (none)
         column 31. data (continous)
         column 32. coded value (none)
         column 33. data (continuous)
         column 34. coded value (none)
         column 35. data (continuous)
         column 36. coded value (none)
         column 37. data (continous)
         column 38. coded value (none)
         column 39. data (continous)
         column 40. coded value (none)
         column 41. data (continuous)
         column 42. coded value (none)
         column 43. data (continuous)
         column 44. coded value (none)
         column 45. data (continuous)
         column 46. coded value (none)
         column 47. calculation (continuous)
         column 48. coded value (none)
         column 49. calculation (continuous)
         column 50. coded value (none)
         column 51. calculation (continuous)
         column 52. coded value (none)
      7. Flagging Criteria: 
         column  1. manually-assigned flags
         column  2. none
         column  3. flag_notinarray(x,[420,421,422])="I"
         column  4. none
         column  5. flag_valuechange(x,0.1,0.1,1)="P"
         column  6. none
         column  7. manually-assigned flags
         column  8. none
         column  9. manually-assigned flags
         column 10. none
         column 11. 
            x<=208="I";x>=1250="I";x<=234="Q";x>=1000="Q";isnan(x)="M";col_Date>=datenum("04/27/2018
             00:00:00")&col_Date<=datenum("12/06/2018 12:00:00")="I"
         column 12. none
         column 13. 
            x<=208="I";x>=1250="I";x<=234="Q";x>=1000="Q";isnan(x)="M";col_Date=datenum("02/19/2022 
            11:40:00")="I"
         column 14. none
         column 15. 
            x<=208="I";x>=1250="I";x<=234="Q";x>=1000="Q";isnan(x)="M";col_Date=datenum("02/19/2022 
            12:35:00")="I"
         column 16. none
         column 17. x<=-35="I";x>50="I";flag_valuechange(x,6.5,6.5,1) 
            ="V";flag_valuechange(x,8,8,1) 
            ="I";isnan(x)="M";x<col_FOURLO="Q";x>col_FOURHI="Q";col_Date>=datenum("06/20/2018 
            16:00:00")&col_Date<=datenum("06/24/2018 12:00:00")="I";col_Date>=datenum("12/06/2018 
            11:30:00")&col_Date<=datenum("01/28/2019 18:00:00")="I";col_Date>=datenum("12/24/2020 
            08:00:00")&col_Date<=datenum("12/28/2020 
            18:00:00")="I";flag_daterange(col_Date,{"05/16/2023 14:00:00","05/25/2023 
            16:00:00"})="I"
         column 18. none
         column 19. manually-assigned flags
         column 20. none
         column 21. manually-assigned flags
         column 22. none
         column 23. manually-assigned flags
         column 24. none
         column 25. x<=-35="I";x>50="I";flag_valuechange(x,6.5,6.5,1) 
            ="V";flag_valuechange(x,8,8,1) 
            ="I";isnan(x)="M";x<col_FOURLO="Q";x>col_FOURHI="Q";col_Date>=datenum("06/20/2018 
            16:00:00")&col_Date<=datenum("06/24/2018 12:00:00")="I";col_Date>=datenum("12/06/2018 
            11:30:00")&col_Date<=datenum("01/28/2019 18:00:00")="I"
         column 26. none
         column 27. x<5="I";x>105="I";x<10="Q";x>103="Q";isnan(x)="M";col_Date>=datenum("06/20/2018 
            16:00:00")&col_Date<=datenum("06/24/2018 12:00:00")="I";col_Date>=datenum("12/06/2018 
            11:30:00")&col_Date<=datenum("01/28/2019 18:00:00")="Q";manually-assigned flags
         column 28. none
         column 29. manually-assigned flags
         column 30. none
         column 31. manually-assigned flags
         column 32. none
         column 33. x<=-35="I";x>50="I";flag_valuechange(x,6.5,6.5,1) 
            ="V";flag_valuechange(x,8,8,1) 
            ="I";isnan(x)="M";x<col_FOURLO="Q";x>col_FOURHI="Q";col_Date>=datenum("06/20/2018 
            16:00:00")&col_Date<=datenum("06/24/2018 12:00:00")="I";col_Date>=datenum("12/06/2018 
            11:30:00")&col_Date<=datenum("01/28/2019 18:00:00")="I"
         column 34. none
         column 35. x<5="I";x>105="I";x<10="Q";x>103="Q";isnan(x)="M";col_Date>=datenum("06/20/2018 
            16:00:00")&col_Date<=datenum("06/24/2018 12:00:00")="I";col_Date>=datenum("12/06/2018 
            11:30:00")&col_Date<=datenum("01/28/2019 18:00:00")="Q";manually-assigned flags
         column 36. none
         column 37. manually-assigned flags
         column 38. none
         column 39. manually-assigned flags
         column 40. none
         column 41. x<5="I";x>105="I";x<10="Q";x>103="Q";isnan(x)="M";col_Date>=datenum("06/20/2018 
            16:00:00")&col_Date<=datenum("06/24/2018 12:00:00")="I";col_Date>=datenum("12/06/2018 
            11:30:00")&col_Date<=datenum("01/28/2019 18:00:00")="Q";col_Date>=datenum("05/30/2019 
            23:35:00")&col_Date<=datenum("05/31/2019 01:35:00")="I";col_Date>=datenum("05/31/2019 
            05:20:00")&col_Date<=datenum("06/05/2019 17:00:00")="I"
         column 42. none
         column 43. x>col_FOURHI="I";x>col_MEAN="I";x>col_MEDIAN="I"
         column 44. none
         column 45. x<col_FOURLO="I";X<col_MEAN="I";x<col_MEDIAN="I"
         column 46. none
         column 47. none
         column 48. none
         column 49. manually-assigned flags
         column 50. none
         column 51. manually-assigned flags
         column 52. none
   C. Data Anomalies: Values of 38 records in Site were flagged as M (undefined flag) for dates: 
      10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 
      12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 
      02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 
      04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 
      06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 
      09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in LOGGERID were flagged as I 
      (invalid value (out of range)) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records 
      in LOGGERID are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records 
      in PROGID are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 
      11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 
      01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 
      03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 
      05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 
      08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in RH_5000 
      were flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 105120 
      records in RH_5000 are missing for dates: 10/01/2024-10/01/2025. Values of 38 records in 
      BattV_Avg were flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 
      11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 
      01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 
      02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 
      04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 
      07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 
      38 records in BattV_Avg are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 
      11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 
      01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 
      02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 
      04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 
      07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 
      38 records in AIR_56N_AVG were flagged as M (undefined flag) for dates: 10/05/2024, 
      10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 
      12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 
      02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 
      04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 
      06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 
      09/14/2025, 09/25/2025. Values of 38 records in AIR_56N_AVG are missing for dates: 
      10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 
      12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 
      02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 
      04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 
      06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 
      09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in DEWPT_MEAN_5600_0_01 were flagged 
      as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 
      11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 
      01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 
      03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 
      05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 
      08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 20 records in 
      DEWPT_MEAN_5600_0_01 were flagged as Q (questionable value) for date 05/06/2025. Values of 38 
      records in DEWPT_MEAN_5600_0_01 are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 
      11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 
      01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 
      02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 
      04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 
      07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 
      38 records in AIR_56S_AVG were flagged as M (undefined flag) for dates: 10/05/2024, 
      10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 
      12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 
      02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 
      04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 
      06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 
      09/14/2025, 09/25/2025. Values of 38 records in AIR_56S_AVG are missing for dates: 
      10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 
      12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 
      02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 
      04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 
      06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 
      09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in AIRTEMP_MAX_5600_0_01 were 
      flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records 
      in AIRTEMP_MAX_5600_0_01 are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 
      11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 
      01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 
      02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 
      04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 
      07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 
      38 records in RELHUM_MAX_5600_0_01 were flagged as M (undefined flag) for dates: 10/05/2024, 
      10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 
      12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 
      02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 
      04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 
      06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 
      09/14/2025, 09/25/2025. Values of 20 records in RELHUM_MAX_5600_0_01 were flagged as Q 
      (questionable value) for date 05/06/2025. Values of 38 records in RELHUM_MAX_5600_0_01 are 
      missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 
      11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 
      01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 
      03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 
      05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 
      08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in AIR_56N_MAX were 
      flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records 
      in AIR_56N_MAX are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records 
      in AIR_56S_MAX were flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 
      10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 
      12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 
      02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 
      04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 
      07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 
      09/25/2025. Values of 38 records in AIR_56S_MAX are missing for dates: 10/05/2024, 
      10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 
      12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 
      02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 
      04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 
      06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 
      09/14/2025, 09/25/2025. Values of 38 records in AIRTEMP_MIN_5600_0_01 were flagged as M 
      (undefined flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 
      11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 
      01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 
      03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 
      05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 
      08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in 
      AIRTEMP_MIN_5600_0_01 are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records 
      in RELHUM_MIN_5600_0_01 were flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 
      10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 
      12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 
      02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 
      04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 
      07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 
      09/25/2025. Values of 30 records in RELHUM_MIN_5600_0_01 were flagged as Q (questionable 
      value) for dates: 05/06/2025, 08/10/2025, 09/23/2025. Values of 38 records in 
      RELHUM_MIN_5600_0_01 are missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records 
      in AIR_56N_MIN were flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 
      10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 
      12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 
      02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 
      04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 
      07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 
      09/25/2025. Values of 38 records in AIR_56N_MIN are missing for dates: 10/05/2024, 
      10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 
      12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 
      02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 
      04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 
      06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 
      09/14/2025, 09/25/2025. Values of 38 records in AIR_56S_MIN were flagged as M (undefined 
      flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 
      11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 
      01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 
      03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 
      05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 
      08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in AIR_56S_MIN are 
      missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 
      11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 
      01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 
      03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 
      05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 
      08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 38 records in RELHUM_MEAN_5600_0_01 
      were flagged as M (undefined flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 
      11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 
      01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 
      03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 
      05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 
      07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 20 records 
      in RELHUM_MEAN_5600_0_01 were flagged as Q (questionable value) for date 05/06/2025. Values 
      of 38 records in RELHUM_MEAN_5600_0_01 are missing for dates: 10/05/2024, 10/14/2024, 
      10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 
      12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 
      02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 
      04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 
      07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 
      09/25/2025. Values of 38 records in SATVAPDEW_MEAN_5600_0_01 were flagged as M (undefined 
      flag) for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 
      11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 
      01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 
      03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 
      05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 
      08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025. Values of 20 records in 
      SATVAPDEW_MEAN_5600_0_01 were flagged as Q (questionable value) for date 05/06/2025. Values 
      of 38 records in SATVAPDEW_MEAN_5600_0_01 are missing for dates: 10/05/2024, 10/14/2024, 
      10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 12/07/2024, 12/15/2024, 
      12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 02/04/2025, 02/12/2025, 
      02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 04/03/2025, 04/12/2025, 
      04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 06/08/2025, 06/20/2025, 
      07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 09/03/2025, 09/14/2025, 
      09/25/2025. Values of 38 records in VPD_MEAN_5600_0_01 were flagged as M (undefined flag) for 
      dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 11/29/2024, 
      12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 01/27/2025, 
      02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 03/24/2025, 
      04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 05/29/2025, 
      06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 08/20/2025, 
      09/03/2025, 09/14/2025, 09/25/2025. Values of 20 records in VPD_MEAN_5600_0_01 were flagged 
      as Q (questionable value) for date 05/06/2025. Values of 38 records in VPD_MEAN_5600_0_01 are 
      missing for dates: 10/05/2024, 10/14/2024, 10/26/2024, 11/04/2024, 11/13/2024, 11/20/2024, 
      11/29/2024, 12/07/2024, 12/15/2024, 12/24/2024, 01/01/2025, 01/09/2025, 01/19/2025, 
      01/27/2025, 02/04/2025, 02/12/2025, 02/19/2025, 02/27/2025, 03/07/2025, 03/16/2025, 
      03/24/2025, 04/03/2025, 04/12/2025, 04/21/2025, 04/30/2025, 05/11/2025, 05/19/2025, 
      05/29/2025, 06/08/2025, 06/20/2025, 07/01/2025, 07/16/2025, 07/29/2025, 08/10/2025, 
      08/20/2025, 09/03/2025, 09/14/2025, 09/25/2025.
V. Supplemental Descriptors 
   A. Data Acquisition 
      1. Data Forms: 
      2. Form Location: 
      3. Data Entry Validation: 
   B. Quality Assurance/Quality Control Procedures: 
   C. Supplemental Materials: 
   D. Computer Programs: 
   E. Archival Practices: 
   F. Publications: 
   G. History of Data Set Usage 
      1. Data Request History: 
      2. Data Set Update History: 
      3. Review History: 
      4. Questions and Comments from Users: