Data Package Metadata   View Summary

Jornada Basin LTER NPP C-CALI meteorological station: 1-hour summary data beginning 2013

General Information
Data Package:
Local Identifier:knb-lter-jrn.210437031.8
Title:Jornada Basin LTER NPP C-CALI meteorological station: 1-hour summary data beginning 2013
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Hourly summary data at NPP C-CALI met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Publication Date:2019-06-27

Time Period
Begin:
2013-11-05
End:
2019-05-31

People and Organizations
Contact:Manager, Data (JRN-LTER Information Manager) [  email ]
Creator:Anderson, John (JRN LTER, Research Site Manager)

Data Entities
Data Table Name:
npp_c-cali_met_hourly_L2_rev_8.csv
Description:
Main data table from Jornada Basin LTER NPP C-CALI meteorological station: 1-hour summary data beginning 2013
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210437031/8/d7401b25948e05e622149c7086a25364
Name:npp_c-cali_met_hourly_L2_rev_8.csv
Description:Main data table from Jornada Basin LTER NPP C-CALI meteorological station: 1-hour summary data beginning 2013
Number of Records:48813
Number of Columns:39
Methods and protocols used in the collection of this data package
Description:

Data processing using the GCE Data Toolbox for MATLAB

Software:
Title:GCE Data Toolbox for MATLAB

Author(s):

Organization:Georgia Coastal Ecosystems LTER
Email Address:
gcelter@uga.edu
Abstract:

The GCE Data Toolbox is a comprehensive library of functions for metadata-based analysis quality control, transformation and management of ecological data sets. The toolbox is based on the GCE Data Structure, a MATLAB specification for storing tabular data along with all information required to interpret the data and generate formatted metadata (documentation). Metadata fields in the structure are queried by toolbox functions for all operations, allowing functions to process and format values appropriately based on the type of information they represent. This semantic processing approach supports highly automated and intelligent data analysis and ensures data set validity throughout all processing steps.

Implementation Info:
Distribution:
Url:https://gce-svn.marsci.uga.edu/trac/GCE_Toolbox
Version Number:Toolbox Version 3.9.9b (06-Mar-2019)
Substep 1 
Description:

17-May-2019 16:24:41: new GCE Data Structure 1.1 created ('newstruct')

Substep 2 
Description:

17-May-2019 16:24:41: 48254 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 3 
Description:

17-May-2019 16:24:41: 4 metadata fields in file header parsed ('parse_header')

Substep 4 
Description:

17-May-2019 16:24:41: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 5 
Description:

17-May-2019 16:24:41: data structure validated ('gce_valid')

Substep 6 
Description:

17-May-2019 16:24:41: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 7 
Description:

17-May-2019 16:24:45: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 8 
Description:

17-May-2019 16:24:45: converted dates in column(s) Date to format MATLAB serial date

Substep 9 
Description:

17-May-2019 16:24:45: sorted by column Date(ascending) ('sortdata')

Substep 10 
Description:

17-May-2019 16:24:45: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 11 
Description:

17-May-2019 16:24:46: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 12 
Description:

17-May-2019 16:24:46: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 13 
Description:

17-May-2019 16:24:46: sorted by column Date(ascending) ('sortdata')

Substep 14 
Description:

17-May-2019 16:24:46: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 15 
Description:

17-May-2019 16:24:48: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 16 
Description:

20-May-2019 01:27:19: new GCE Data Structure 1.1 created ('newstruct')

Substep 17 
Description:

20-May-2019 01:27:19: 48311 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 18 
Description:

20-May-2019 01:27:19: 4 metadata fields in file header parsed ('parse_header')

Substep 19 
Description:

20-May-2019 01:27:19: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 20 
Description:

20-May-2019 01:27:19: data structure validated ('gce_valid')

Substep 21 
Description:

20-May-2019 01:27:19: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 22 
Description:

20-May-2019 01:27:23: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 23 
Description:

20-May-2019 01:27:24: converted dates in column(s) Date to format MATLAB serial date

Substep 24 
Description:

20-May-2019 01:27:24: sorted by column Date(ascending) ('sortdata')

Substep 25 
Description:

20-May-2019 01:27:24: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 26 
Description:

20-May-2019 01:27:24: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 27 
Description:

20-May-2019 01:27:24: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 28 
Description:

20-May-2019 01:27:24: sorted by column Date(ascending) ('sortdata')

Substep 29 
Description:

20-May-2019 01:27:25: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 30 
Description:

20-May-2019 01:27:26: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 31 
Description:

20-May-2019 01:28:58: 57 new rows where added using levelTwo.m

Substep 32 
Description:

20-May-2019 02:33:26: new GCE Data Structure 1.1 created ('newstruct')

Substep 33 
Description:

20-May-2019 02:33:26: 48312 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 34 
Description:

20-May-2019 02:33:26: 4 metadata fields in file header parsed ('parse_header')

Substep 35 
Description:

20-May-2019 02:33:26: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 36 
Description:

20-May-2019 02:33:26: data structure validated ('gce_valid')

Substep 37 
Description:

20-May-2019 02:33:26: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 38 
Description:

20-May-2019 02:33:29: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 39 
Description:

20-May-2019 02:33:30: converted dates in column(s) Date to format MATLAB serial date

Substep 40 
Description:

20-May-2019 02:33:30: sorted by column Date(ascending) ('sortdata')

Substep 41 
Description:

20-May-2019 02:33:30: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 42 
Description:

20-May-2019 02:33:30: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 43 
Description:

20-May-2019 02:33:30: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 44 
Description:

20-May-2019 02:33:30: sorted by column Date(ascending) ('sortdata')

Substep 45 
Description:

20-May-2019 02:33:30: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 46 
Description:

20-May-2019 02:33:32: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 47 
Description:

20-May-2019 15:21:52: 1 new rows where added using levelTwo.m

Substep 48 
Description:

20-May-2019 15:27:17: Flags for columns WinDir_mean_Resultant, at rows 26434, 26435, 26436, 26437, 26438, 26439, 26440, 26441, 26442, 26443, 26444, 26445, 26446, 26447, 26448, 26449, 26450, 26451, 26452, 26453, 26454, 26455, 26456, 26457, 26458, 26459, 26460, 26461, 26462, 26463, 26464, 26465, 26466, 26467, 26468, 26469, 26470, 26471, 26472, 26473, 26474, 26475, 26476, 26477, 26478, 26479, 26480, 26481, 26482, 26483, 26484, 26485, 26486, 26487, 26488, 26489, 26490, 26491, 26492, 26493, 26494, 26495, 26496, 26497, 26498, 26499, 26500, 26501, 26502, 26503, 26504, 26505, 26506, 26507, 26508, 26509, 26510, 26511, 26512, 26513, 26514, 26515, 26516, 26517, 26518, 26519, 26520, 26521, 26522, 26523, 26524, 26525, 26526, 26527, 26528, 26529, 26530, 26531, 26532, 26533, 26534, 26535, 26536, 26537, 26538, 26539, 26540, 26541, 26542, 26543, 26544, 26545, 26546, 26547, 26548, 26549, 26550, 26551, 26552, 26553, 26554, 26555, 26556, 26557, 26558, 26559, 26560, 26561, 26562, 26563, 26564, 26565, 26566, 26567, 26568, 26569, 26570, 26571, 26572, 26573, 26574, 26575, 26576, 26577, 26578, 26579, 26580, 26581, 26582, 26583, 26584, 26585, 26586, 26587, 26588, 26589, 26590, 26591, 26592, 26593, 26594, 26595, 26596, 26597, 26598, 26599, 26600, 26601, 26602, 26603, 26604, 26605, 26606, 26607, 26608, 26609, 26610, 26611, 26612, 26613, 26614, 26615, 26616, 26617, 26618, 26619, 26620, 26621, 26622, 26623, 26624, 26625, 26626, 26627, 26628, 26629, 26630, 26631, 26632, 26633, 26634, 26635, 26636, 26637, 26638, 26639, 26640, 26641, 26642, 26643, 26644, 26645, 26646, 26647, 26648, 26649, 26650, 26651, 26652, 26653, 26654, 26655, 26656, 26657, 26658, 26659, 26660, 26661, 26662, 26663, 26664, 26665, 26666, 26667, 26668, 26669, 26670, 26671, 26672, 26673, 26674, 26675, 26676, 26677, 26678, 26679, 26680, 26681, 26682, 26683, 26684, 26685, 26686, 26687, 26688, 26689, 26690, 26691, 26692, 26693, 26694, 26695, 26696, 26697, 26698, 26699, 26700, 26701, 26702, 26703, 26704, 26705, 26706, 26707, 26708, 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27853, 27854, 27855, 27856, 27857, 27858, 27859, 27860, 27861, 27862, 27863, 27864, 27865, 27866, 27867, 27868, 27869, 27870, 27871, 27872, 27873, 27874, 27875, 27876, 27877, 27878, 27879, 27880, 27881, 27882, 27883, 27884, 27885, 27886, 27887, 27888, 27889, 27890, 27891, 27892, 27893, 27894, 27895, 27896, 27897, 27898, 27899, 27900, 27901, 27902, 27903, 27904, 27905, 27906, 27907, 27908, 27909, 27910, 27911, 27912, 27913, 27914, 27915, 27916, 27917, 27918, 27919, 27920, 27921, 27922, 27923, 27924, 27925, 27926, 27927, 27928, 27929, 27930, 27931, 27932, 27933, 27934, 27935, 27936, 27937, 27938, 27939, 27940, 27941, 27942, 27943, 27944, 27945, 27946, 27947, 27948, 27949, 27950, 27951, 27952, 27953, 27954, 27955, 27956, 27957, 27958, 27959, 27960, 27961, 27962, 27963, 27964, 27965, 27966, 27967, 27968, 27969, 27970, 27971, 27972, 27973, 27974, 27975, 27976, 27977, 27978, 27979, 27980, 27981, 27982, 27983, 27984, 27985, 27986, 27987, 27988, 27989, 27990, 27991, 27992, 27993, 27994, 27995, 27996, 27997, 27998, 27999, 28000, 28001, 28002, 28003, 28004, 28005, 28006, 28007, 28008, 28009, 28010, 28011, 28012, 28013, 28014, 28015, 28016, 28017, 28018, 28019, 28020, 28021, 28022, 28023, 28024, 28025, 28026, 28027, 28028, 28029, 28030, 28031, 28032, 28033, 28034, 28035, 28036, 28037, 28038, 28039, 28040, 28041, 28042, 28043, 28044, 28045, 28046, 28047, 28048, 28049, 28050, 28051, 28052, 28053, 28054, 28055, 28056, 28057, 28058, 28059, 28060, 28061, 28062, 28063, 28064, 28065, 28066, 28067, 28068, 28069, 28070, 28071, 28072, 28073, 28074, 28075, 28076, 28077, 28078, 28079, 28080, 28081, 28082, 28083, 28084, 28085, 28086, 28087, 28088, 28089, 28090, 28091, 28092, 28093, 28094, 28095, 28096, 28097, 28098, 28099, 28100, 28101, 28102, 28103, 28104, 28105, 28106, 28107, 28108, 28109, 28110, 28111, 28112, 28113, 28114, 28115, 28116, 28117, 28118, 28119, 28120, 28121, 28122, 28123, 28124, 28125, 28126, 28127, 28128, 28129, 28130, 28131, 28132, 28133, 28134, 28135, 28136, 28137, 28138, 28139, 28140, 28141, 28142, 28143, 28144, 28145, 28146, 28147, 28148, 28149, 28150, 28151, 28152, 28153, 28154, 28155, 28156, 28157, 28158, 28159, 28160, 28161, 28162, 28163, 28164, 28165, 28166, 28167, 28168, 28169, 28170, 28171, 28172, 28173, 28174, 28175, 28176, 28177, 28178, 28179, 28180, 28181, 28182, 28183, 28184, 28185, 28186, 28187, 28188, 28189, 28190, 28191, 28192, 28193, 28194, 28195, 28196, 28197, 28198, 28199, 28200, 28201, 28202, 28203, 28204, 28205, 28206, 28207, 28208, 28209, 28210, were changed to 'I'

Substep 49 
Description:

20-May-2019 15:27:47: Flags for columns WinDir_Std_Dev, at rows 26434, 26435, 26436, 26437, 26438, 26439, 26440, 26441, 26442, 26443, 26444, 26445, 26446, 26447, 26448, 26449, 26450, 26451, 26452, 26453, 26454, 26455, 26456, 26457, 26458, 26459, 26460, 26461, 26462, 26463, 26464, 26465, 26466, 26467, 26468, 26469, 26470, 26471, 26472, 26473, 26474, 26475, 26476, 26477, 26478, 26479, 26480, 26481, 26482, 26483, 26484, 26485, 26486, 26487, 26488, 26489, 26490, 26491, 26492, 26493, 26494, 26495, 26496, 26497, 26498, 26499, 26500, 26501, 26502, 26503, 26504, 26505, 26506, 26507, 26508, 26509, 26510, 26511, 26512, 26513, 26514, 26515, 26516, 26517, 26518, 26519, 26520, 26521, 26522, 26523, 26524, 26525, 26526, 26527, 26528, 26529, 26530, 26531, 26532, 26533, 26534, 26535, 26536, 26537, 26538, 26539, 26540, 26541, 26542, 26543, 26544, 26545, 26546, 26547, 26548, 26549, 26550, 26551, 26552, 26553, 26554, 26555, 26556, 26557, 26558, 26559, 26560, 26561, 26562, 26563, 26564, 26565, 26566, 26567, 26568, 26569, 26570, 26571, 26572, 26573, 26574, 26575, 26576, 26577, 26578, 26579, 26580, 26581, 26582, 26583, 26584, 26585, 26586, 26587, 26588, 26589, 26590, 26591, 26592, 26593, 26594, 26595, 26596, 26597, 26598, 26599, 26600, 26601, 26602, 26603, 26604, 26605, 26606, 26607, 26608, 26609, 26610, 26611, 26612, 26613, 26614, 26615, 26616, 26617, 26618, 26619, 26620, 26621, 26622, 26623, 26624, 26625, 26626, 26627, 26628, 26629, 26630, 26631, 26632, 26633, 26634, 26635, 26636, 26637, 26638, 26639, 26640, 26641, 26642, 26643, 26644, 26645, 26646, 26647, 26648, 26649, 26650, 26651, 26652, 26653, 26654, 26655, 26656, 26657, 26658, 26659, 26660, 26661, 26662, 26663, 26664, 26665, 26666, 26667, 26668, 26669, 26670, 26671, 26672, 26673, 26674, 26675, 26676, 26677, 26678, 26679, 26680, 26681, 26682, 26683, 26684, 26685, 26686, 26687, 26688, 26689, 26690, 26691, 26692, 26693, 26694, 26695, 26696, 26697, 26698, 26699, 26700, 26701, 26702, 26703, 26704, 26705, 26706, 26707, 26708, 26709, 26710, 26711, 26712, 26713, 26714, 26715, 26716, 26717, 26718, 26719, 26720, 26721, 26722, 26723, 26724, 26725, 26726, 26727, 26728, 26729, 26730, 26731, 26732, 26733, 26734, 26735, 26736, 26737, 26738, 26739, 26740, 26741, 26742, 26743, 26744, 26745, 26746, 26747, 26748, 26749, 26750, 26751, 26752, 26753, 26754, 26755, 26756, 26757, 26758, 26759, 26760, 26761, 26762, 26763, 26764, 26765, 26766, 26767, 26768, 26769, 26770, 26771, 26772, 26773, 26774, 26775, 26776, 26777, 26778, 26779, 26780, 26781, 26782, 26783, 26784, 26785, 26786, 26787, 26788, 26789, 26790, 26791, 26792, 26793, 26794, 26795, 26796, 26797, 26798, 26799, 26800, 26801, 26802, 26803, 26804, 26805, 26806, 26807, 26808, 26809, 26810, 26811, 26812, 26813, 26814, 26815, 26816, 26817, 26818, 26819, 26820, 26821, 26822, 26823, 26824, 26825, 26826, 26827, 26828, 26829, 26830, 26831, 26832, 26833, 26834, 26835, 26836, 26837, 26838, 26839, 26840, 26841, 26842, 26843, 26844, 26845, 26846, 26847, 26848, 26849, 26850, 26851, 26852, 26853, 26854, 26855, 26856, 26857, 26858, 26859, 26860, 26861, 26862, 26863, 26864, 26865, 26866, 26867, 26868, 26869, 26870, 26871, 26872, 26873, 26874, 26875, 26876, 26877, 26878, 26879, 26880, 26881, 26882, 26883, 26884, 26885, 26886, 26887, 26888, 26889, 26890, 26891, 26892, 26893, 26894, 26895, 26896, 26897, 26898, 26899, 26900, 26901, 26902, 26903, 26904, 26905, 26906, 26907, 26908, 26909, 26910, 26911, 26912, 26913, 26914, 26915, 26916, 26917, 26918, 26919, 26920, 26921, 26922, 26923, 26924, 26925, 26926, 26927, 26928, 26929, 26930, 26931, 26932, 26933, 26934, 26935, 26936, 26937, 26938, 26939, 26940, 26941, 26942, 26943, 26944, 26945, 26946, 26947, 26948, 26949, 26950, 26951, 26952, 26953, 26954, 26955, 26956, 26957, 26958, 26959, 26960, 26961, 26962, 26963, 26964, 26965, 26966, 26967, 26968, 26969, 26970, 26971, 26972, 26973, 26974, 26975, 26976, 26977, 26978, 26979, 26980, 26981, 26982, 26983, 26984, 26985, 26986, 26987, 26988, 26989, 26990, 26991, 26992, 26993, 26994, 26995, 26996, 26997, 26998, 26999, 27000, 27001, 27002, 27003, 27004, 27005, 27006, 27007, 27008, 27009, 27010, 27011, 27012, 27013, 27014, 27015, 27016, 27017, 27018, 27019, 27020, 27021, 27022, 27023, 27024, 27025, 27026, 27027, 27028, 27029, 27030, 27031, 27032, 27033, 27034, 27035, 27036, 27037, 27038, 27039, 27040, 27041, 27042, 27043, 27044, 27045, 27046, 27047, 27048, 27049, 27050, 27051, 27052, 27053, 27054, 27055, 27056, 27057, 27058, 27059, 27060, 27061, 27062, 27063, 27064, 27065, 27066, 27067, 27068, 27069, 27070, 27071, 27072, 27073, 27074, 27075, 27076, 27077, 27078, 27079, 27080, 27081, 27082, 27083, 27084, 27085, 27086, 27087, 27088, 27089, 27090, 27091, 27092, 27093, 27094, 27095, 27096, 27097, 27098, 27099, 27100, 27101, 27102, 27103, 27104, 27105, 27106, 27107, 27108, 27109, 27110, 27111, 27112, 27113, 27114, 27115, 27116, 27117, 27118, 27119, 27120, 27121, 27122, 27123, 27124, 27125, 27126, 27127, 27128, 27129, 27130, 27131, 27132, 27133, 27134, 27135, 27136, 27137, 27138, 27139, 27140, 27141, 27142, 27143, 27144, 27145, 27146, 27147, 27148, 27149, 27150, 27151, 27152, 27153, 27154, 27155, 27156, 27157, 27158, 27159, 27160, 27161, 27162, 27163, 27164, 27165, 27166, 27167, 27168, 27169, 27170, 27171, 27172, 27173, 27174, 27175, 27176, 27177, 27178, 27179, 27180, 27181, 27182, 27183, 27184, 27185, 27186, 27187, 27188, 27189, 27190, 27191, 27192, 27193, 27194, 27195, 27196, 27197, 27198, 27199, 27200, 27201, 27202, 27203, 27204, 27205, 27206, 27207, 27208, 27209, 27210, 27211, 27212, 27213, 27214, 27215, 27216, 27217, 27218, 27219, 27220, 27221, 27222, 27223, 27224, 27225, 27226, 27227, 27228, 27229, 27230, 27231, 27232, 27233, 27234, 27235, 27236, 27237, 27238, 27239, 27240, 27241, 27242, 27243, 27244, 27245, 27246, 27247, 27248, 27249, 27250, 27251, 27252, 27253, 27254, 27255, 27256, 27257, 27258, 27259, 27260, 27261, 27262, 27263, 27264, 27265, 27266, 27267, 27268, 27269, 27270, 27271, 27272, 27273, 27274, 27275, 27276, 27277, 27278, 27279, 27280, 27281, 27282, 27283, 27284, 27285, 27286, 27287, 27288, 27289, 27290, 27291, 27292, 27293, 27294, 27295, 27296, 27297, 27298, 27299, 27300, 27301, 27302, 27303, 27304, 27305, 27306, 27307, 27308, 27309, 27310, 27311, 27312, 27313, 27314, 27315, 27316, 27317, 27318, 27319, 27320, 27321, 27322, 27323, 27324, 27325, 27326, 27327, 27328, 27329, 27330, 27331, 27332, 27333, 27334, 27335, 27336, 27337, 27338, 27339, 27340, 27341, 27342, 27343, 27344, 27345, 27346, 27347, 27348, 27349, 27350, 27351, 27352, 27353, 27354, 27355, 27356, 27357, 27358, 27359, 27360, 27361, 27362, 27363, 27364, 27365, 27366, 27367, 27368, 27369, 27370, 27371, 27372, 27373, 27374, 27375, 27376, 27377, 27378, 27379, 27380, 27381, 27382, 27383, 27384, 27385, 27386, 27387, 27388, 27389, 27390, 27391, 27392, 27393, 27394, 27395, 27396, 27397, 27398, 27399, 27400, 27401, 27402, 27403, 27404, 27405, 27406, 27407, 27408, 27409, 27410, 27411, 27412, 27413, 27414, 27415, 27416, 27417, 27418, 27419, 27420, 27421, 27422, 27423, 27424, 27425, 27426, 27427, 27428, 27429, 27430, 27431, 27432, 27433, 27434, 27435, 27436, 27437, 27438, 27439, 27440, 27441, 27442, 27443, 27444, 27445, 27446, 27447, 27448, 27449, 27450, 27451, 27452, 27453, 27454, 27455, 27456, 27457, 27458, 27459, 27460, 27461, 27462, 27463, 27464, 27465, 27466, 27467, 27468, 27469, 27470, 27471, 27472, 27473, 27474, 27475, 27476, 27477, 27478, 27479, 27480, 27481, 27482, 27483, 27484, 27485, 27486, 27487, 27488, 27489, 27490, 27491, 27492, 27493, 27494, 27495, 27496, 27497, 27498, 27499, 27500, 27501, 27502, 27503, 27504, 27505, 27506, 27507, 27508, 27509, 27510, 27511, 27512, 27513, 27514, 27515, 27516, 27517, 27518, 27519, 27520, 27521, 27522, 27523, 27524, 27525, 27526, 27527, 27528, 27529, 27530, 27531, 27532, 27533, 27534, 27535, 27536, 27537, 27538, 27539, 27540, 27541, 27542, 27543, 27544, 27545, 27546, 27547, 27548, 27549, 27550, 27551, 27552, 27553, 27554, 27555, 27556, 27557, 27558, 27559, 27560, 27561, 27562, 27563, 27564, 27565, 27566, 27567, 27568, 27569, 27570, 27571, 27572, 27573, 27574, 27575, 27576, 27577, 27578, 27579, 27580, 27581, 27582, 27583, 27584, 27585, 27586, 27587, 27588, 27589, 27590, 27591, 27592, 27593, 27594, 27595, 27596, 27597, 27598, 27599, 27600, 27601, 27602, 27603, 27604, 27605, 27606, 27607, 27608, 27609, 27610, 27611, 27612, 27613, 27614, 27615, 27616, 27617, 27618, 27619, 27620, 27621, 27622, 27623, 27624, 27625, 27626, 27627, 27628, 27629, 27630, 27631, 27632, 27633, 27634, 27635, 27636, 27637, 27638, 27639, 27640, 27641, 27642, 27643, 27644, 27645, 27646, 27647, 27648, 27649, 27650, 27651, 27652, 27653, 27654, 27655, 27656, 27657, 27658, 27659, 27660, 27661, 27662, 27663, 27664, 27665, 27666, 27667, 27668, 27669, 27670, 27671, 27672, 27673, 27674, 27675, 27676, 27677, 27678, 27679, 27680, 27681, 27682, 27683, 27684, 27685, 27686, 27687, 27688, 27689, 27690, 27691, 27692, 27693, 27694, 27695, 27696, 27697, 27698, 27699, 27700, 27701, 27702, 27703, 27704, 27705, 27706, 27707, 27708, 27709, 27710, 27711, 27712, 27713, 27714, 27715, 27716, 27717, 27718, 27719, 27720, 27721, 27722, 27723, 27724, 27725, 27726, 27727, 27728, 27729, 27730, 27731, 27732, 27733, 27734, 27735, 27736, 27737, 27738, 27739, 27740, 27741, 27742, 27743, 27744, 27745, 27746, 27747, 27748, 27749, 27750, 27751, 27752, 27753, 27754, 27755, 27756, 27757, 27758, 27759, 27760, 27761, 27762, 27763, 27764, 27765, 27766, 27767, 27768, 27769, 27770, 27771, 27772, 27773, 27774, 27775, 27776, 27777, 27778, 27779, 27780, 27781, 27782, 27783, 27784, 27785, 27786, 27787, 27788, 27789, 27790, 27791, 27792, 27793, 27794, 27795, 27796, 27797, 27798, 27799, 27800, 27801, 27802, 27803, 27804, 27805, 27806, 27807, 27808, 27809, 27810, 27811, 27812, 27813, 27814, 27815, 27816, 27817, 27818, 27819, 27820, 27821, 27822, 27823, 27824, 27825, 27826, 27827, 27828, 27829, 27830, 27831, 27832, 27833, 27834, 27835, 27836, 27837, 27838, 27839, 27840, 27841, 27842, 27843, 27844, 27845, 27846, 27847, 27848, 27849, 27850, 27851, 27852, 27853, 27854, 27855, 27856, 27857, 27858, 27859, 27860, 27861, 27862, 27863, 27864, 27865, 27866, 27867, 27868, 27869, 27870, 27871, 27872, 27873, 27874, 27875, 27876, 27877, 27878, 27879, 27880, 27881, 27882, 27883, 27884, 27885, 27886, 27887, 27888, 27889, 27890, 27891, 27892, 27893, 27894, 27895, 27896, 27897, 27898, 27899, 27900, 27901, 27902, 27903, 27904, 27905, 27906, 27907, 27908, 27909, 27910, 27911, 27912, 27913, 27914, 27915, 27916, 27917, 27918, 27919, 27920, 27921, 27922, 27923, 27924, 27925, 27926, 27927, 27928, 27929, 27930, 27931, 27932, 27933, 27934, 27935, 27936, 27937, 27938, 27939, 27940, 27941, 27942, 27943, 27944, 27945, 27946, 27947, 27948, 27949, 27950, 27951, 27952, 27953, 27954, 27955, 27956, 27957, 27958, 27959, 27960, 27961, 27962, 27963, 27964, 27965, 27966, 27967, 27968, 27969, 27970, 27971, 27972, 27973, 27974, 27975, 27976, 27977, 27978, 27979, 27980, 27981, 27982, 27983, 27984, 27985, 27986, 27987, 27988, 27989, 27990, 27991, 27992, 27993, 27994, 27995, 27996, 27997, 27998, 27999, 28000, 28001, 28002, 28003, 28004, 28005, 28006, 28007, 28008, 28009, 28010, 28011, 28012, 28013, 28014, 28015, 28016, 28017, 28018, 28019, 28020, 28021, 28022, 28023, 28024, 28025, 28026, 28027, 28028, 28029, 28030, 28031, 28032, 28033, 28034, 28035, 28036, 28037, 28038, 28039, 28040, 28041, 28042, 28043, 28044, 28045, 28046, 28047, 28048, 28049, 28050, 28051, 28052, 28053, 28054, 28055, 28056, 28057, 28058, 28059, 28060, 28061, 28062, 28063, 28064, 28065, 28066, 28067, 28068, 28069, 28070, 28071, 28072, 28073, 28074, 28075, 28076, 28077, 28078, 28079, 28080, 28081, 28082, 28083, 28084, 28085, 28086, 28087, 28088, 28089, 28090, 28091, 28092, 28093, 28094, 28095, 28096, 28097, 28098, 28099, 28100, 28101, 28102, 28103, 28104, 28105, 28106, 28107, 28108, 28109, 28110, 28111, 28112, 28113, 28114, 28115, 28116, 28117, 28118, 28119, 28120, 28121, 28122, 28123, 28124, 28125, 28126, 28127, 28128, 28129, 28130, 28131, 28132, 28133, 28134, 28135, 28136, 28137, 28138, 28139, 28140, 28141, 28142, 28143, 28144, 28145, 28146, 28147, 28148, 28149, 28150, 28151, 28152, 28153, 28154, 28155, 28156, 28157, 28158, 28159, 28160, 28161, 28162, 28163, 28164, 28165, 28166, 28167, 28168, 28169, 28170, 28171, 28172, 28173, 28174, 28175, 28176, 28177, 28178, 28179, 28180, 28181, 28182, 28183, 28184, 28185, 28186, 28187, 28188, 28189, 28190, 28191, 28192, 28193, 28194, 28195, 28196, 28197, 28198, 28199, 28200, 28201, 28202, 28203, 28204, 28205, 28206, 28207, 28208, 28209, 28210, were changed to '<No flag>'

Substep 50 
Description:

20-May-2019 15:27:56: Flags for columns WinDir_Std_Dev, at rows 26434, 26435, 26436, 26437, 26438, 26439, 26440, 26441, 26442, 26443, 26444, 26445, 26446, 26447, 26448, 26449, 26450, 26451, 26452, 26453, 26454, 26455, 26456, 26457, 26458, 26459, 26460, 26461, 26462, 26463, 26464, 26465, 26466, 26467, 26468, 26469, 26470, 26471, 26472, 26473, 26474, 26475, 26476, 26477, 26478, 26479, 26480, 26481, 26482, 26483, 26484, 26485, 26486, 26487, 26488, 26489, 26490, 26491, 26492, 26493, 26494, 26495, 26496, 26497, 26498, 26499, 26500, 26501, 26502, 26503, 26504, 26505, 26506, 26507, 26508, 26509, 26510, 26511, 26512, 26513, 26514, 26515, 26516, 26517, 26518, 26519, 26520, 26521, 26522, 26523, 26524, 26525, 26526, 26527, 26528, 26529, 26530, 26531, 26532, 26533, 26534, 26535, 26536, 26537, 26538, 26539, 26540, 26541, 26542, 26543, 26544, 26545, 26546, 26547, 26548, 26549, 26550, 26551, 26552, 26553, 26554, 26555, 26556, 26557, 26558, 26559, 26560, 26561, 26562, 26563, 26564, 26565, 26566, 26567, 26568, 26569, 26570, 26571, 26572, 26573, 26574, 26575, 26576, 26577, 26578, 26579, 26580, 26581, 26582, 26583, 26584, 26585, 26586, 26587, 26588, 26589, 26590, 26591, 26592, 26593, 26594, 26595, 26596, 26597, 26598, 26599, 26600, 26601, 26602, 26603, 26604, 26605, 26606, 26607, 26608, 26609, 26610, 26611, 26612, 26613, 26614, 26615, 26616, 26617, 26618, 26619, 26620, 26621, 26622, 26623, 26624, 26625, 26626, 26627, 26628, 26629, 26630, 26631, 26632, 26633, 26634, 26635, 26636, 26637, 26638, 26639, 26640, 26641, 26642, 26643, 26644, 26645, 26646, 26647, 26648, 26649, 26650, 26651, 26652, 26653, 26654, 26655, 26656, 26657, 26658, 26659, 26660, 26661, 26662, 26663, 26664, 26665, 26666, 26667, 26668, 26669, 26670, 26671, 26672, 26673, 26674, 26675, 26676, 26677, 26678, 26679, 26680, 26681, 26682, 26683, 26684, 26685, 26686, 26687, 26688, 26689, 26690, 26691, 26692, 26693, 26694, 26695, 26696, 26697, 26698, 26699, 26700, 26701, 26702, 26703, 26704, 26705, 26706, 26707, 26708, 26709, 26710, 26711, 26712, 26713, 26714, 26715, 26716, 26717, 26718, 26719, 26720, 26721, 26722, 26723, 26724, 26725, 26726, 26727, 26728, 26729, 26730, 26731, 26732, 26733, 26734, 26735, 26736, 26737, 26738, 26739, 26740, 26741, 26742, 26743, 26744, 26745, 26746, 26747, 26748, 26749, 26750, 26751, 26752, 26753, 26754, 26755, 26756, 26757, 26758, 26759, 26760, 26761, 26762, 26763, 26764, 26765, 26766, 26767, 26768, 26769, 26770, 26771, 26772, 26773, 26774, 26775, 26776, 26777, 26778, 26779, 26780, 26781, 26782, 26783, 26784, 26785, 26786, 26787, 26788, 26789, 26790, 26791, 26792, 26793, 26794, 26795, 26796, 26797, 26798, 26799, 26800, 26801, 26802, 26803, 26804, 26805, 26806, 26807, 26808, 26809, 26810, 26811, 26812, 26813, 26814, 26815, 26816, 26817, 26818, 26819, 26820, 26821, 26822, 26823, 26824, 26825, 26826, 26827, 26828, 26829, 26830, 26831, 26832, 26833, 26834, 26835, 26836, 26837, 26838, 26839, 26840, 26841, 26842, 26843, 26844, 26845, 26846, 26847, 26848, 26849, 26850, 26851, 26852, 26853, 26854, 26855, 26856, 26857, 26858, 26859, 26860, 26861, 26862, 26863, 26864, 26865, 26866, 26867, 26868, 26869, 26870, 26871, 26872, 26873, 26874, 26875, 26876, 26877, 26878, 26879, 26880, 26881, 26882, 26883, 26884, 26885, 26886, 26887, 26888, 26889, 26890, 26891, 26892, 26893, 26894, 26895, 26896, 26897, 26898, 26899, 26900, 26901, 26902, 26903, 26904, 26905, 26906, 26907, 26908, 26909, 26910, 26911, 26912, 26913, 26914, 26915, 26916, 26917, 26918, 26919, 26920, 26921, 26922, 26923, 26924, 26925, 26926, 26927, 26928, 26929, 26930, 26931, 26932, 26933, 26934, 26935, 26936, 26937, 26938, 26939, 26940, 26941, 26942, 26943, 26944, 26945, 26946, 26947, 26948, 26949, 26950, 26951, 26952, 26953, 26954, 26955, 26956, 26957, 26958, 26959, 26960, 26961, 26962, 26963, 26964, 26965, 26966, 26967, 26968, 26969, 26970, 26971, 26972, 26973, 26974, 26975, 26976, 26977, 26978, 26979, 26980, 26981, 26982, 26983, 26984, 26985, 26986, 26987, 26988, 26989, 26990, 26991, 26992, 26993, 26994, 26995, 26996, 26997, 26998, 26999, 27000, 27001, 27002, 27003, 27004, 27005, 27006, 27007, 27008, 27009, 27010, 27011, 27012, 27013, 27014, 27015, 27016, 27017, 27018, 27019, 27020, 27021, 27022, 27023, 27024, 27025, 27026, 27027, 27028, 27029, 27030, 27031, 27032, 27033, 27034, 27035, 27036, 27037, 27038, 27039, 27040, 27041, 27042, 27043, 27044, 27045, 27046, 27047, 27048, 27049, 27050, 27051, 27052, 27053, 27054, 27055, 27056, 27057, 27058, 27059, 27060, 27061, 27062, 27063, 27064, 27065, 27066, 27067, 27068, 27069, 27070, 27071, 27072, 27073, 27074, 27075, 27076, 27077, 27078, 27079, 27080, 27081, 27082, 27083, 27084, 27085, 27086, 27087, 27088, 27089, 27090, 27091, 27092, 27093, 27094, 27095, 27096, 27097, 27098, 27099, 27100, 27101, 27102, 27103, 27104, 27105, 27106, 27107, 27108, 27109, 27110, 27111, 27112, 27113, 27114, 27115, 27116, 27117, 27118, 27119, 27120, 27121, 27122, 27123, 27124, 27125, 27126, 27127, 27128, 27129, 27130, 27131, 27132, 27133, 27134, 27135, 27136, 27137, 27138, 27139, 27140, 27141, 27142, 27143, 27144, 27145, 27146, 27147, 27148, 27149, 27150, 27151, 27152, 27153, 27154, 27155, 27156, 27157, 27158, 27159, 27160, 27161, 27162, 27163, 27164, 27165, 27166, 27167, 27168, 27169, 27170, 27171, 27172, 27173, 27174, 27175, 27176, 27177, 27178, 27179, 27180, 27181, 27182, 27183, 27184, 27185, 27186, 27187, 27188, 27189, 27190, 27191, 27192, 27193, 27194, 27195, 27196, 27197, 27198, 27199, 27200, 27201, 27202, 27203, 27204, 27205, 27206, 27207, 27208, 27209, 27210, 27211, 27212, 27213, 27214, 27215, 27216, 27217, 27218, 27219, 27220, 27221, 27222, 27223, 27224, 27225, 27226, 27227, 27228, 27229, 27230, 27231, 27232, 27233, 27234, 27235, 27236, 27237, 27238, 27239, 27240, 27241, 27242, 27243, 27244, 27245, 27246, 27247, 27248, 27249, 27250, 27251, 27252, 27253, 27254, 27255, 27256, 27257, 27258, 27259, 27260, 27261, 27262, 27263, 27264, 27265, 27266, 27267, 27268, 27269, 27270, 27271, 27272, 27273, 27274, 27275, 27276, 27277, 27278, 27279, 27280, 27281, 27282, 27283, 27284, 27285, 27286, 27287, 27288, 27289, 27290, 27291, 27292, 27293, 27294, 27295, 27296, 27297, 27298, 27299, 27300, 27301, 27302, 27303, 27304, 27305, 27306, 27307, 27308, 27309, 27310, 27311, 27312, 27313, 27314, 27315, 27316, 27317, 27318, 27319, 27320, 27321, 27322, 27323, 27324, 27325, 27326, 27327, 27328, 27329, 27330, 27331, 27332, 27333, 27334, 27335, 27336, 27337, 27338, 27339, 27340, 27341, 27342, 27343, 27344, 27345, 27346, 27347, 27348, 27349, 27350, 27351, 27352, 27353, 27354, 27355, 27356, 27357, 27358, 27359, 27360, 27361, 27362, 27363, 27364, 27365, 27366, 27367, 27368, 27369, 27370, 27371, 27372, 27373, 27374, 27375, 27376, 27377, 27378, 27379, 27380, 27381, 27382, 27383, 27384, 27385, 27386, 27387, 27388, 27389, 27390, 27391, 27392, 27393, 27394, 27395, 27396, 27397, 27398, 27399, 27400, 27401, 27402, 27403, 27404, 27405, 27406, 27407, 27408, 27409, 27410, 27411, 27412, 27413, 27414, 27415, 27416, 27417, 27418, 27419, 27420, 27421, 27422, 27423, 27424, 27425, 27426, 27427, 27428, 27429, 27430, 27431, 27432, 27433, 27434, 27435, 27436, 27437, 27438, 27439, 27440, 27441, 27442, 27443, 27444, 27445, 27446, 27447, 27448, 27449, 27450, 27451, 27452, 27453, 27454, 27455, 27456, 27457, 27458, 27459, 27460, 27461, 27462, 27463, 27464, 27465, 27466, 27467, 27468, 27469, 27470, 27471, 27472, 27473, 27474, 27475, 27476, 27477, 27478, 27479, 27480, 27481, 27482, 27483, 27484, 27485, 27486, 27487, 27488, 27489, 27490, 27491, 27492, 27493, 27494, 27495, 27496, 27497, 27498, 27499, 27500, 27501, 27502, 27503, 27504, 27505, 27506, 27507, 27508, 27509, 27510, 27511, 27512, 27513, 27514, 27515, 27516, 27517, 27518, 27519, 27520, 27521, 27522, 27523, 27524, 27525, 27526, 27527, 27528, 27529, 27530, 27531, 27532, 27533, 27534, 27535, 27536, 27537, 27538, 27539, 27540, 27541, 27542, 27543, 27544, 27545, 27546, 27547, 27548, 27549, 27550, 27551, 27552, 27553, 27554, 27555, 27556, 27557, 27558, 27559, 27560, 27561, 27562, 27563, 27564, 27565, 27566, 27567, 27568, 27569, 27570, 27571, 27572, 27573, 27574, 27575, 27576, 27577, 27578, 27579, 27580, 27581, 27582, 27583, 27584, 27585, 27586, 27587, 27588, 27589, 27590, 27591, 27592, 27593, 27594, 27595, 27596, 27597, 27598, 27599, 27600, 27601, 27602, 27603, 27604, 27605, 27606, 27607, 27608, 27609, 27610, 27611, 27612, 27613, 27614, 27615, 27616, 27617, 27618, 27619, 27620, 27621, 27622, 27623, 27624, 27625, 27626, 27627, 27628, 27629, 27630, 27631, 27632, 27633, 27634, 27635, 27636, 27637, 27638, 27639, 27640, 27641, 27642, 27643, 27644, 27645, 27646, 27647, 27648, 27649, 27650, 27651, 27652, 27653, 27654, 27655, 27656, 27657, 27658, 27659, 27660, 27661, 27662, 27663, 27664, 27665, 27666, 27667, 27668, 27669, 27670, 27671, 27672, 27673, 27674, 27675, 27676, 27677, 27678, 27679, 27680, 27681, 27682, 27683, 27684, 27685, 27686, 27687, 27688, 27689, 27690, 27691, 27692, 27693, 27694, 27695, 27696, 27697, 27698, 27699, 27700, 27701, 27702, 27703, 27704, 27705, 27706, 27707, 27708, 27709, 27710, 27711, 27712, 27713, 27714, 27715, 27716, 27717, 27718, 27719, 27720, 27721, 27722, 27723, 27724, 27725, 27726, 27727, 27728, 27729, 27730, 27731, 27732, 27733, 27734, 27735, 27736, 27737, 27738, 27739, 27740, 27741, 27742, 27743, 27744, 27745, 27746, 27747, 27748, 27749, 27750, 27751, 27752, 27753, 27754, 27755, 27756, 27757, 27758, 27759, 27760, 27761, 27762, 27763, 27764, 27765, 27766, 27767, 27768, 27769, 27770, 27771, 27772, 27773, 27774, 27775, 27776, 27777, 27778, 27779, 27780, 27781, 27782, 27783, 27784, 27785, 27786, 27787, 27788, 27789, 27790, 27791, 27792, 27793, 27794, 27795, 27796, 27797, 27798, 27799, 27800, 27801, 27802, 27803, 27804, 27805, 27806, 27807, 27808, 27809, 27810, 27811, 27812, 27813, 27814, 27815, 27816, 27817, 27818, 27819, 27820, 27821, 27822, 27823, 27824, 27825, 27826, 27827, 27828, 27829, 27830, 27831, 27832, 27833, 27834, 27835, 27836, 27837, 27838, 27839, 27840, 27841, 27842, 27843, 27844, 27845, 27846, 27847, 27848, 27849, 27850, 27851, 27852, 27853, 27854, 27855, 27856, 27857, 27858, 27859, 27860, 27861, 27862, 27863, 27864, 27865, 27866, 27867, 27868, 27869, 27870, 27871, 27872, 27873, 27874, 27875, 27876, 27877, 27878, 27879, 27880, 27881, 27882, 27883, 27884, 27885, 27886, 27887, 27888, 27889, 27890, 27891, 27892, 27893, 27894, 27895, 27896, 27897, 27898, 27899, 27900, 27901, 27902, 27903, 27904, 27905, 27906, 27907, 27908, 27909, 27910, 27911, 27912, 27913, 27914, 27915, 27916, 27917, 27918, 27919, 27920, 27921, 27922, 27923, 27924, 27925, 27926, 27927, 27928, 27929, 27930, 27931, 27932, 27933, 27934, 27935, 27936, 27937, 27938, 27939, 27940, 27941, 27942, 27943, 27944, 27945, 27946, 27947, 27948, 27949, 27950, 27951, 27952, 27953, 27954, 27955, 27956, 27957, 27958, 27959, 27960, 27961, 27962, 27963, 27964, 27965, 27966, 27967, 27968, 27969, 27970, 27971, 27972, 27973, 27974, 27975, 27976, 27977, 27978, 27979, 27980, 27981, 27982, 27983, 27984, 27985, 27986, 27987, 27988, 27989, 27990, 27991, 27992, 27993, 27994, 27995, 27996, 27997, 27998, 27999, 28000, 28001, 28002, 28003, 28004, 28005, 28006, 28007, 28008, 28009, 28010, 28011, 28012, 28013, 28014, 28015, 28016, 28017, 28018, 28019, 28020, 28021, 28022, 28023, 28024, 28025, 28026, 28027, 28028, 28029, 28030, 28031, 28032, 28033, 28034, 28035, 28036, 28037, 28038, 28039, 28040, 28041, 28042, 28043, 28044, 28045, 28046, 28047, 28048, 28049, 28050, 28051, 28052, 28053, 28054, 28055, 28056, 28057, 28058, 28059, 28060, 28061, 28062, 28063, 28064, 28065, 28066, 28067, 28068, 28069, 28070, 28071, 28072, 28073, 28074, 28075, 28076, 28077, 28078, 28079, 28080, 28081, 28082, 28083, 28084, 28085, 28086, 28087, 28088, 28089, 28090, 28091, 28092, 28093, 28094, 28095, 28096, 28097, 28098, 28099, 28100, 28101, 28102, 28103, 28104, 28105, 28106, 28107, 28108, 28109, 28110, 28111, 28112, 28113, 28114, 28115, 28116, 28117, 28118, 28119, 28120, 28121, 28122, 28123, 28124, 28125, 28126, 28127, 28128, 28129, 28130, 28131, 28132, 28133, 28134, 28135, 28136, 28137, 28138, 28139, 28140, 28141, 28142, 28143, 28144, 28145, 28146, 28147, 28148, 28149, 28150, 28151, 28152, 28153, 28154, 28155, 28156, 28157, 28158, 28159, 28160, 28161, 28162, 28163, 28164, 28165, 28166, 28167, 28168, 28169, 28170, 28171, 28172, 28173, 28174, 28175, 28176, 28177, 28178, 28179, 28180, 28181, 28182, 28183, 28184, 28185, 28186, 28187, 28188, 28189, 28190, 28191, 28192, 28193, 28194, 28195, 28196, 28197, 28198, 28199, 28200, 28201, 28202, 28203, 28204, 28205, 28206, 28207, 28208, 28209, 28210, were changed to 'I'

Substep 51 
Description:

20-May-2019 15:31:59: Flags for columns WS_ms_150cm_Avg, at rows 37511, 37512, 37513, 37514, 37515, 37516, 37517, 37518, 37519, 37520, 37521, 37522, 37523, 37524, 37525, 37526, 37527, 37528, 37529, 37530, 37531, 37532, 37533, 37534, 37535, 37536, 37537, 37538, 37539, 37540, 37541, 37542, 37543, 37544, 37545, 37546, 37547, 37548, 37549, 37550, 37551, 37552, 37553, 37554, 37555, 37556, 37557, 37558, 37559, 37560, 37561, 37562, 37563, 37564, 37565, 37566, were changed to 'I'

Substep 52 
Description:

20-May-2019 15:32:17: Flags for columns WS_ms_150cm_Max, at rows 37511, 37512, 37513, 37514, 37515, 37516, 37517, 37518, 37519, 37520, 37521, 37522, 37523, 37524, 37525, 37526, 37527, 37528, 37529, 37530, 37531, 37532, 37533, 37534, 37535, 37536, 37537, 37538, 37539, 37540, 37541, 37542, 37543, 37544, 37545, 37546, 37547, 37548, 37549, 37550, 37551, 37552, 37553, 37554, 37555, 37556, 37557, 37558, 37559, 37560, 37561, 37562, 37563, 37564, 37565, 37566, were changed to 'I'

Substep 53 
Description:

20-May-2019 15:47:46: Flags for columns WS_ms_150cm_Avg, at rows 43327, 43328, 43329, 43330, 43331, 43332, 43333, 43334, 43335, 43336, 43337, 43338, 43339, 43340, 43341, 43342, 43343, 43344, 43345, 43346, 43347, 43348, 43349, 43350, 43351, 43352, 43353, 43354, 43355, 43356, 43357, 43358, 43359, 43360, 43361, 43362, 43363, 43364, 43365, 43366, 43367, 43368, 43369, 43370, 43371, 43372, 43373, 43374, 43375, 43376, 43377, 43378, 43379, 43380, 43381, 43382, 43383, 43384, 43385, 43386, 43387, 43388, 43389, 43390, 43391, 43392, 43393, 43394, 43395, 43396, 43397, 43398, 43399, 43400, 43401, 43402, were changed to 'I'

Substep 54 
Description:

20-May-2019 15:48:21: Flags for columns WS_ms_150cm_Max, at rows 43328, 43329, 43330, 43331, 43332, 43333, 43334, 43335, 43336, 43337, 43338, 43339, 43340, 43341, 43342, 43343, 43344, 43345, 43346, 43347, 43348, 43349, 43350, 43351, 43352, 43353, 43354, 43355, 43356, 43357, 43358, 43359, 43360, 43361, 43362, 43363, 43364, 43365, 43366, 43367, 43368, 43369, 43370, 43371, 43372, 43373, 43374, 43375, 43376, 43377, 43378, 43379, 43380, 43381, 43382, 43383, 43384, 43385, 43386, 43387, 43388, 43389, 43390, 43391, 43392, 43393, 43394, 43395, 43396, 43397, 43398, 43399, 43400, 43401, 43402, were changed to 'I'

Substep 55 
Description:

20-May-2019 15:49:05: Flag for column WS_ms_150cm_Max, at row 43327 (15-Oct-2018 09:00:00) was changed from '<No flag>' to 'Q'

Substep 56 
Description:

20-May-2019 15:53:54: Flags for columns WS_ms_150cm_Max, at rows 43226, 43227, 43228, 43229, 43230, 43231, 43232, were changed to 'I'

Substep 57 
Description:

20-May-2019 15:54:52: Flags for columns WS_ms_150cm_Max, at rows 43226, 43227, 43228, 43229, 43230, 43231, 43232, were changed to '<No flag>'

Substep 58 
Description:

20-May-2019 16:02:09: Data approved from row 1 () to 48527 (20-May-2019 01:00:00)

Substep 59 
Description:

21-May-2019 02:33:29: new GCE Data Structure 1.1 created ('newstruct')

Substep 60 
Description:

21-May-2019 02:33:29: 48336 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 61 
Description:

21-May-2019 02:33:29: 4 metadata fields in file header parsed ('parse_header')

Substep 62 
Description:

21-May-2019 02:33:29: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 63 
Description:

21-May-2019 02:33:29: data structure validated ('gce_valid')

Substep 64 
Description:

21-May-2019 02:33:29: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 65 
Description:

21-May-2019 02:33:32: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 66 
Description:

21-May-2019 02:33:33: converted dates in column(s) Date to format MATLAB serial date

Substep 67 
Description:

21-May-2019 02:33:33: sorted by column Date(ascending) ('sortdata')

Substep 68 
Description:

21-May-2019 02:33:33: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 69 
Description:

21-May-2019 02:33:33: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 70 
Description:

21-May-2019 02:33:33: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 71 
Description:

21-May-2019 02:33:33: sorted by column Date(ascending) ('sortdata')

Substep 72 
Description:

21-May-2019 02:33:33: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 73 
Description:

21-May-2019 02:33:35: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 74 
Description:

21-May-2019 08:14:43: 24 new rows where added using levelTwo.m

Substep 75 
Description:

21-May-2019 08:15:24: Data approved from row 48527 (20-May-2019 01:00:00) to 48551 (21-May-2019 01:00:00)

Substep 76 
Description:

22-May-2019 17:19:12: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 77 
Description:

23-May-2019 17:10:05: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 78 
Description:

23-May-2019 02:34:03: new GCE Data Structure 1.1 created ('newstruct')

Substep 79 
Description:

23-May-2019 02:34:03: 48384 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 80 
Description:

23-May-2019 02:34:03: 4 metadata fields in file header parsed ('parse_header')

Substep 81 
Description:

23-May-2019 02:34:03: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 82 
Description:

23-May-2019 02:34:03: data structure validated ('gce_valid')

Substep 83 
Description:

23-May-2019 02:34:03: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 84 
Description:

23-May-2019 02:34:06: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 85 
Description:

23-May-2019 02:34:07: converted dates in column(s) Date to format MATLAB serial date

Substep 86 
Description:

23-May-2019 02:34:07: sorted by column Date(ascending) ('sortdata')

Substep 87 
Description:

23-May-2019 02:34:07: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 88 
Description:

23-May-2019 02:34:07: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 89 
Description:

23-May-2019 02:34:07: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 90 
Description:

23-May-2019 02:34:08: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 91 
Description:

23-May-2019 02:34:08: sorted by column Date(ascending) ('sortdata')

Substep 92 
Description:

23-May-2019 02:34:08: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 93 
Description:

23-May-2019 02:34:09: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 94 
Description:

23-May-2019 18:17:40: 48 new rows where added using levelTwo.m

Substep 95 
Description:

23-May-2019 18:18:14: Data approved from row 48551 (2019-05-21 01:00:00) to 48599 (2019-05-23 01:00:00)

Substep 96 
Description:

28-May-2019 02:33:58: new GCE Data Structure 1.1 created ('newstruct')

Substep 97 
Description:

28-May-2019 02:33:58: 48504 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 98 
Description:

28-May-2019 02:33:58: 4 metadata fields in file header parsed ('parse_header')

Substep 99 
Description:

28-May-2019 02:33:58: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 100 
Description:

28-May-2019 02:33:58: data structure validated ('gce_valid')

Substep 101 
Description:

28-May-2019 02:33:58: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 102 
Description:

28-May-2019 02:34:01: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 103 
Description:

28-May-2019 02:34:02: converted dates in column(s) Date to format MATLAB serial date

Substep 104 
Description:

28-May-2019 02:34:02: sorted by column Date(ascending) ('sortdata')

Substep 105 
Description:

28-May-2019 02:34:02: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 106 
Description:

28-May-2019 02:34:02: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 107 
Description:

28-May-2019 02:34:02: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 108 
Description:

28-May-2019 02:34:02: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 109 
Description:

28-May-2019 02:34:02: sorted by column Date(ascending) ('sortdata')

Substep 110 
Description:

28-May-2019 02:34:02: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 111 
Description:

28-May-2019 02:34:04: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 112 
Description:

29-May-2019 00:59:30: 120 new rows where added using levelTwo.m

Substep 113 
Description:

04-Jun-2019 16:48:13: new GCE Data Structure 1.1 created ('newstruct')

Substep 114 
Description:

04-Jun-2019 16:48:13: 48686 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 115 
Description:

04-Jun-2019 16:48:13: 4 metadata fields in file header parsed ('parse_header')

Substep 116 
Description:

04-Jun-2019 16:48:13: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 117 
Description:

04-Jun-2019 16:48:13: data structure validated ('gce_valid')

Substep 118 
Description:

04-Jun-2019 16:48:14: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 119 
Description:

04-Jun-2019 16:48:17: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 120 
Description:

04-Jun-2019 16:48:18: converted dates in column(s) Date to format MATLAB serial date

Substep 121 
Description:

04-Jun-2019 16:48:18: sorted by column Date(ascending) ('sortdata')

Substep 122 
Description:

04-Jun-2019 16:48:18: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 123 
Description:

04-Jun-2019 16:48:18: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 124 
Description:

04-Jun-2019 16:48:18: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 125 
Description:

04-Jun-2019 16:48:19: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 126 
Description:

04-Jun-2019 16:48:19: sorted by column Date(ascending) ('sortdata')

Substep 127 
Description:

04-Jun-2019 16:48:19: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 128 
Description:

04-Jun-2019 16:48:20: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 129 
Description:

04-Jun-2019 19:11:28: 182 new rows where added using levelTwo.m

Substep 130 
Description:

04-Jun-2019 19:11:49: All rows from 1 (2013-11-05 03:00:00) to 48599 (2019-05-23 01:00:00) were disapproved

Substep 131 
Description:

04-Jun-2019 19:12:32: Flag for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from '<No flag>' to 'E'

Substep 132 
Description:

04-Jun-2019 19:12:40: Value for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from 0.3000 to 0.2000

Substep 133 
Description:

04-Jun-2019 19:14:14: Data approved from row 1 () to 48813 (2019-05-31 23:00:00)

Substep 134 
Description:

10-Jun-2019 02:34:10: new GCE Data Structure 1.1 created ('newstruct')

Substep 135 
Description:

10-Jun-2019 02:34:10: 48816 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 136 
Description:

10-Jun-2019 02:34:10: 4 metadata fields in file header parsed ('parse_header')

Substep 137 
Description:

10-Jun-2019 02:34:10: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 138 
Description:

10-Jun-2019 02:34:10: data structure validated ('gce_valid')

Substep 139 
Description:

10-Jun-2019 02:34:10: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 140 
Description:

10-Jun-2019 02:34:13: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 141 
Description:

10-Jun-2019 02:34:13: converted dates in column(s) Date to format MATLAB serial date

Substep 142 
Description:

10-Jun-2019 02:34:14: sorted by column Date(ascending) ('sortdata')

Substep 143 
Description:

10-Jun-2019 02:34:14: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 144 
Description:

10-Jun-2019 02:34:14: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 145 
Description:

10-Jun-2019 02:34:14: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 146 
Description:

10-Jun-2019 02:34:14: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 147 
Description:

10-Jun-2019 02:34:14: sorted by column Date(ascending) ('sortdata')

Substep 148 
Description:

10-Jun-2019 02:34:14: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 149 
Description:

10-Jun-2019 02:34:16: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 150 
Description:

10-Jun-2019 11:27:05: 130 new rows where added using levelTwo.m

Substep 151 
Description:

26-Jun-2019 02:34:00: new GCE Data Structure 1.1 created ('newstruct')

Substep 152 
Description:

26-Jun-2019 02:34:00: 49200 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 153 
Description:

26-Jun-2019 02:34:00: 4 metadata fields in file header parsed ('parse_header')

Substep 154 
Description:

26-Jun-2019 02:34:00: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 155 
Description:

26-Jun-2019 02:34:00: data structure validated ('gce_valid')

Substep 156 
Description:

26-Jun-2019 02:34:00: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 157 
Description:

26-Jun-2019 02:34:04: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 158 
Description:

26-Jun-2019 02:34:04: converted dates in column(s) Date to format MATLAB serial date

Substep 159 
Description:

26-Jun-2019 02:34:05: sorted by column Date(ascending) ('sortdata')

Substep 160 
Description:

26-Jun-2019 02:34:05: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 161 
Description:

26-Jun-2019 02:34:05: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 162 
Description:

26-Jun-2019 02:34:05: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 163 
Description:

26-Jun-2019 02:34:05: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 164 
Description:

26-Jun-2019 02:34:05: sorted by column Date(ascending) ('sortdata')

Substep 165 
Description:

26-Jun-2019 02:34:05: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 166 
Description:

26-Jun-2019 02:34:07: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 167 
Description:

26-Jun-2019 07:51:13: 384 new rows where added using levelTwo.m

Substep 168 
Description:

26-Jun-2019 10:31:04: new GCE Data Structure 1.1 created ('newstruct')

Substep 169 
Description:

26-Jun-2019 10:31:04: 49208 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 170 
Description:

26-Jun-2019 10:31:04: 4 metadata fields in file header parsed ('parse_header')

Substep 171 
Description:

26-Jun-2019 10:31:04: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 172 
Description:

26-Jun-2019 10:31:04: data structure validated ('gce_valid')

Substep 173 
Description:

26-Jun-2019 10:31:04: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 174 
Description:

26-Jun-2019 10:31:08: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 175 
Description:

26-Jun-2019 10:31:09: converted dates in column(s) Date to format MATLAB serial date

Substep 176 
Description:

26-Jun-2019 10:31:09: sorted by column Date(ascending) ('sortdata')

Substep 177 
Description:

26-Jun-2019 10:31:09: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 178 
Description:

26-Jun-2019 10:31:09: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 179 
Description:

26-Jun-2019 10:31:09: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 180 
Description:

26-Jun-2019 10:31:09: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 181 
Description:

26-Jun-2019 10:31:09: sorted by column Date(ascending) ('sortdata')

Substep 182 
Description:

26-Jun-2019 10:31:10: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 183 
Description:

26-Jun-2019 10:31:11: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 184 
Description:

27-Jun-2019 12:48:34: 8 new rows where added using levelTwo.m

Substep 185 
Description:

27-Jun-2019 12:48:48: All rows from 1 (2013-11-05 03:00:00) to 48813 (2019-05-31 23:00:00) were disapproved

Substep 186 
Description:

27-Jun-2019 12:49:55: Value for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from '0.2000' to '0.3000'

Substep 187 
Description:

27-Jun-2019 12:50:01: Flag for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from 'E' to '<No flag>'

Substep 188 
Description:

27-Jun-2019 12:50:47: Data approved from row 1 () to 48813 (2019-05-31 23:00:00)

Substep 189 
Description:

27-Jun-2019 22:23:30: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 190 
Description:

27-Jun-2019 22:23:30: deleted columns Flag_RECORD, Flag_Ptemp_C_Avg, Flag_Air_TempC_Avg, Flag_Air_TempC_Max, Flag_Air_TempC_Min, Flag_Relative_Humidity_Avg, Flag_Ppt_mm_Tot, Flag_Ws_Mean_300cm, Flag_Ws_mean_Resultant_300cm, Flag_WinDir_mean_Resultant, Flag_WinDir_Std_Dev, Flag_WS_ms_75cm_Avg, Flag_WS_ms_150cm_Avg, Flag_WS_ms_300cm_Avg, Flag_WS_ms_75cm_Max, Flag_WS_ms_150cm_Max and Flag_WS_ms_300cm_Max from the structure ('deletecols')

Substep 191 
Description:

27-Jun-2019 22:23:31: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 192 
Description:

27-Jun-2019 22:23:35: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Quality Control
Quality Control Step 1: 
Description:

Quality control analysis was performed using the GCE Data Toolbox for MATLAB software. Column data types are validated upon importing the table into MATLAB, and qualifier flags are automatically generated for data values based on QA/QC criteria for each data column pre-defined in metadata templates (e.g. value range checks, sanity checks, pattern checks). Automatically-assigned qualifier flags are reviewed graphically and revised or augmented as deemed appropriate by GCE information management staff, based on metadata information from the contributor, values of other measured variables, or statistical tests. Qualifier flags are also assigned to values that are imputed or derived, revised, or otherwise differ from values in the original data submission. A column of coded qualifier flags is generated and included in the data table if flags are assigned to any value in a data column.

Data anomalies: Values of 2 records in Air_TempC_Avg are missing for dates: 01/10/2016, 01/31/2018. Values of 2 records in Air_TempC_Max are missing for dates: 01/10/2016, 01/31/2018. Values of 2 records in Air_TempC_Min are missing for dates: 01/10/2016, 01/31/2018. The value of one record in Ws_mean_Resultant_300cm is missing for date 01/23/2017.


Table Structure
Object Name:npp_c-cali_met_hourly_L2_rev_8.csv
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Character Encoding:ASCII
Text Format:
Number of Header Lines:4
Number of Foot Lines:0
Record Delimiter:\r\n
Line Number For One Record:1
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:Date  
Year  
YearDay  
Hours  
RECORD  
Flag_RECORD  
Sitename  
Ptemp_C_Avg  
Flag_Ptemp_C_Avg  
Air_TempC_Avg  
Flag_Air_TempC_Avg  
Air_TempC_Max  
Flag_Air_TempC_Max  
Air_TempC_Min  
Flag_Air_TempC_Min  
Relative_Humidity_Avg  
Flag_Relative_Humidity_Avg  
Ppt_mm_Tot  
Flag_Ppt_mm_Tot  
Ws_Mean_300cm  
Flag_Ws_Mean_300cm  
Ws_mean_Resultant_300cm  
Flag_Ws_mean_Resultant_300cm  
WinDir_mean_Resultant  
Flag_WinDir_mean_Resultant  
WinDir_Std_Dev  
Flag_WinDir_Std_Dev  
WS_ms_75cm_Avg  
Flag_WS_ms_75cm_Avg  
WS_ms_150cm_Avg  
Flag_WS_ms_150cm_Avg  
WS_ms_300cm_Avg  
Flag_WS_ms_300cm_Avg  
WS_ms_75cm_Max  
Flag_WS_ms_75cm_Max  
WS_ms_150cm_Max  
Flag_WS_ms_150cm_Max  
WS_ms_300cm_Max  
Flag_WS_ms_300cm_Max  
Definition:Date and time of observationCalendar yearNumerical year day (day number within the current year)Time of day in fractional hoursRecord number generated by datalogger programQA/QC flags for Record number generated by datalogger program (flagging criteria, where "x" is RECORD: x<0="I", manual)Site identifierDatalogger Panel Temperature: 1 hour AverageQA/QC flags for Datalogger Panel Temperature: 1 hour Average (flagging criteria, where "x" is Ptemp_C_Avg: x<-35="I", manual)Air Temperature: 1 hour AverageQA/QC flags for Air Temperature: 1 hour Average (flagging criteria, where "x" is Air_TempC_Avg: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air Temperature: 1 hour MaximumQA/QC flags for Air Temperature: 1 hour Maximum (flagging criteria, where "x" is Air_TempC_Max: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air Temperature: 1 hour MinimumQA/QC flags for Air Temperature: 1 hour Minimum (flagging criteria, where "x" is Air_TempC_Min: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Relative Humidity: 1 hour AverageQA/QC flags for Relative Humidity: 1 hour Average (flagging criteria, where "x" is Relative_Humidity_Avg: x<=0="I", (x>100 & x<=105)="Q", x>105="I", manual)Precipitation: 1 hour TotalQA/QC flags for Precipitation: 1 hour Total (flagging criteria, where "x" is Ppt_mm_Tot: x<0="I", (x>101.6 & x<=177.8)="Q", x>177.8="I", manual)Wind Speed: 1 hour Average at 300 cm heightQA/QC flags for Wind Speed: 1 hour Average at 300 cm height (flagging criteria, where "x" is Ws_Mean_300cm: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Resultant Vector Average at 300 cm heightQA/QC flags for Wind Speed: 1 hour Resultant Vector Average at 300 cm height (flagging criteria, where "x" is Ws_mean_Resultant_300cm: x<0="I", (x>32 & x<=55)="Q", x>55="I")Wind Direction: 1 hour Resultant Vector Average at 300 cm heightQA/QC flags for Wind Direction: 1 hour Resultant Vector Average at 300 cm height (flagging criteria, where "x" is WinDir_mean_Resultant: x<0="I", x>360="I", manual)Wind Direction: 1 hour Standard Deviation at 300 cm heightQA/QC flags for Wind Direction: 1 hour Standard Deviation at 300 cm height (flagging criteria, where "x" is WinDir_Std_Dev: x<0="I", x>360="I", manual)Wind Speed: 1 hour Average at 75 cm heightQA/QC flags for Wind Speed: 1 hour Average at 75 cm height (flagging criteria, where "x" is WS_ms_75cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Average at 150 cm heightQA/QC flags for Wind Speed: 1 hour Average at 150 cm height (flagging criteria, where "x" is WS_ms_150cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Average at 300 cm heightQA/QC flags for Wind Speed: 1 hour Average at 300 cm height (flagging criteria, where "x" is WS_ms_300cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Maximum at 75 cm heightQA/QC flags for Wind Speed: 1 hour Maximum at 75 cm height (flagging criteria, where "x" is WS_ms_75cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Maximum at 150 cm heightQA/QC flags for Wind Speed: 1 hour Maximum at 150 cm height (flagging criteria, where "x" is WS_ms_150cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Maximum at 300 cm heightQA/QC flags for Wind Speed: 1 hour Maximum at 300 cm height (flagging criteria, where "x" is WS_ms_300cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)
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floating-point  
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floating-point  
string  
floating-point  
string  
Measurement Type:dateTimeintervalintervalintervalrationominalordinalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominal
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Definitioninvalid value (out of range)
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Precision0.001
Typereal
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Max55 
Allowed Values and Definitions
Enumerated Domain 
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CodeM
DefinitionMissing value
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UnitmetersPerSecond
Precision0.001
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Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeI
Definitioninvalid value (out of range)
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DefinitionMissing value
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UnitmetersPerSecond
Precision0.001
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Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
DefinitionMissing value
Source
UnitmetersPerSecond
Precision0.001
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Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
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DefinitionMissing value
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Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
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Definitioninvalid value (out of range)
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Allowed Values and Definitions
Enumerated Domain 
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Missing Value Code:  
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
   
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
Accuracy Report:                                                                              
Accuracy Assessment:                                                                              
Coverage:                                                                              
Methods:                                                                              

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
(No thesaurus)air temperature, c-cali, climate, meteorology, npp site, precipitation, relative humidity, study 437, wind direction, wind speed

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Summary: A met station consisting of a 3-meter mast is installed in the 5-meter buffer zone on one side of the 70-meter x 70-meter NPP site in association with a pair of neutron probe access tubes. Air temperature, relative humidity, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured at most sites with anemometers at 0.75m, 1.5m and 3m on the mast. A single anemometer is installed at 3m height at P-COLL and P-SMAL NPP sites due to flooding potential at lower heights. Upward and downward facing pyranometers are installed at 5 sites, 1 for each of the major vegetation zones.

Instrument(s):Temperature Probe; Manufacturer: Campbell Scientific Instruments, Model: CS215; Parameter: Air Temperature Accuracy: +/-0.3°C at 25°C, +/-0.4° (5°C to 40°C), +/-0.9°C (-40°C to 70°C), Range: -40°C to 70°C); Relative Humidity Sensor; Manufacturer: Campbell Scientific Instruments (capacitive relative humidity sensor, Model: CS215/18144); Parameter: Relative Humidity (Accuracy: 2% at 10-90% RH, 4% @ 0-100%; Range: 0% to 100% at -20°C to 60°C); Anemometer; Manufacturer: NRG, Inc (Model: 40C); Parameter: Wind Speed (Range: 0.5 to 50 m/s); Wind Vane; Manufacturer: NRG, Inc (Model: 200P); Parameter: Wind Direction (Range: 360 degrees (1 m/s threshold), Dead band: 8° max, 4° typical)
Description:

Method - Sensor readings are taken at 1 second intervals by a Campbell Scientific Instruments (CSI) CR1000 data logger and converted from analog voltage to calibrated digital data, if necessary, by the CR1000 data logger program (e.g., C-Cali_CR1000_20150925.cr1). Minimum, average, and maximum air temperature and relative humidity; average and maximum wind speed; average and standard deviation of wind direction are calculated by the CR1000 datalogger program and stored in tables in the datalogger storage module at intervals of 5, 30, and 60 minutes and daily. These are downloaded hourly from each remote site via a 900 MHz spread spectrum wireless radio network using CSI LoggerNet software. The data are parsed, quality-checked, documented and archived in the JRN-LTER Information Management office using data retrieval and parsing functions in the GCE Data Toolbox for MATLAB (https://gce-lter.marsci.uga.edu/lter/research/tools/data_toolbox.htm).

Sampling Area and Study Extent
Sampling Description:

Sensor readings are taken at 1 second intervals and aggregated into 5, 30, and 60 minute, and daily data tables.

Sampling Extent:

Time Period
Begin:
2013-11-05
End:
2019-05-31
Sampling Extent:
Geographic Region:
Description:lter-jrn-met-cc -- NPP C-CALI site. Precise geographic coordinates of the meteorological station are available upon request; please contact the Data Manager.
Bounding Coordinates:
Northern:  32.669000Southern:  32.488000
Western:  -106.865000Eastern:  -106.713000

These methods, instrumentation, and/or protocols apply to the data table npp_c-cali_met_hourly_L2_rev_8.csv:

Methods and protocols used in the collection of this data package
Description:

Data processing using the GCE Data Toolbox for MATLAB

Software:
Title:GCE Data Toolbox for MATLAB

Author(s):

Organization:Georgia Coastal Ecosystems LTER
Email Address:
gcelter@uga.edu
Abstract:

The GCE Data Toolbox is a comprehensive library of functions for metadata-based analysis quality control, transformation and management of ecological data sets. The toolbox is based on the GCE Data Structure, a MATLAB specification for storing tabular data along with all information required to interpret the data and generate formatted metadata (documentation). Metadata fields in the structure are queried by toolbox functions for all operations, allowing functions to process and format values appropriately based on the type of information they represent. This semantic processing approach supports highly automated and intelligent data analysis and ensures data set validity throughout all processing steps.

Implementation Info:
Distribution:
Url:https://gce-svn.marsci.uga.edu/trac/GCE_Toolbox
Version Number:Toolbox Version 3.9.9b (06-Mar-2019)
Substep 1 
Description:

17-May-2019 16:24:41: new GCE Data Structure 1.1 created ('newstruct')

Substep 2 
Description:

17-May-2019 16:24:41: 48254 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 3 
Description:

17-May-2019 16:24:41: 4 metadata fields in file header parsed ('parse_header')

Substep 4 
Description:

17-May-2019 16:24:41: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 5 
Description:

17-May-2019 16:24:41: data structure validated ('gce_valid')

Substep 6 
Description:

17-May-2019 16:24:41: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 7 
Description:

17-May-2019 16:24:45: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 8 
Description:

17-May-2019 16:24:45: converted dates in column(s) Date to format MATLAB serial date

Substep 9 
Description:

17-May-2019 16:24:45: sorted by column Date(ascending) ('sortdata')

Substep 10 
Description:

17-May-2019 16:24:45: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 11 
Description:

17-May-2019 16:24:46: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 12 
Description:

17-May-2019 16:24:46: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 13 
Description:

17-May-2019 16:24:46: sorted by column Date(ascending) ('sortdata')

Substep 14 
Description:

17-May-2019 16:24:46: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 15 
Description:

17-May-2019 16:24:48: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 16 
Description:

20-May-2019 01:27:19: new GCE Data Structure 1.1 created ('newstruct')

Substep 17 
Description:

20-May-2019 01:27:19: 48311 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 18 
Description:

20-May-2019 01:27:19: 4 metadata fields in file header parsed ('parse_header')

Substep 19 
Description:

20-May-2019 01:27:19: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 20 
Description:

20-May-2019 01:27:19: data structure validated ('gce_valid')

Substep 21 
Description:

20-May-2019 01:27:19: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 22 
Description:

20-May-2019 01:27:23: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 23 
Description:

20-May-2019 01:27:24: converted dates in column(s) Date to format MATLAB serial date

Substep 24 
Description:

20-May-2019 01:27:24: sorted by column Date(ascending) ('sortdata')

Substep 25 
Description:

20-May-2019 01:27:24: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 26 
Description:

20-May-2019 01:27:24: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 27 
Description:

20-May-2019 01:27:24: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 28 
Description:

20-May-2019 01:27:24: sorted by column Date(ascending) ('sortdata')

Substep 29 
Description:

20-May-2019 01:27:25: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 30 
Description:

20-May-2019 01:27:26: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 31 
Description:

20-May-2019 01:28:58: 57 new rows where added using levelTwo.m

Substep 32 
Description:

20-May-2019 02:33:26: new GCE Data Structure 1.1 created ('newstruct')

Substep 33 
Description:

20-May-2019 02:33:26: 48312 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 34 
Description:

20-May-2019 02:33:26: 4 metadata fields in file header parsed ('parse_header')

Substep 35 
Description:

20-May-2019 02:33:26: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 36 
Description:

20-May-2019 02:33:26: data structure validated ('gce_valid')

Substep 37 
Description:

20-May-2019 02:33:26: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 38 
Description:

20-May-2019 02:33:29: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 39 
Description:

20-May-2019 02:33:30: converted dates in column(s) Date to format MATLAB serial date

Substep 40 
Description:

20-May-2019 02:33:30: sorted by column Date(ascending) ('sortdata')

Substep 41 
Description:

20-May-2019 02:33:30: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 42 
Description:

20-May-2019 02:33:30: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 43 
Description:

20-May-2019 02:33:30: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 44 
Description:

20-May-2019 02:33:30: sorted by column Date(ascending) ('sortdata')

Substep 45 
Description:

20-May-2019 02:33:30: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 46 
Description:

20-May-2019 02:33:32: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 47 
Description:

20-May-2019 15:21:52: 1 new rows where added using levelTwo.m

Substep 48 
Description:

20-May-2019 15:27:17: Flags for columns WinDir_mean_Resultant, at rows 26434, 26435, 26436, 26437, 26438, 26439, 26440, 26441, 26442, 26443, 26444, 26445, 26446, 26447, 26448, 26449, 26450, 26451, 26452, 26453, 26454, 26455, 26456, 26457, 26458, 26459, 26460, 26461, 26462, 26463, 26464, 26465, 26466, 26467, 26468, 26469, 26470, 26471, 26472, 26473, 26474, 26475, 26476, 26477, 26478, 26479, 26480, 26481, 26482, 26483, 26484, 26485, 26486, 26487, 26488, 26489, 26490, 26491, 26492, 26493, 26494, 26495, 26496, 26497, 26498, 26499, 26500, 26501, 26502, 26503, 26504, 26505, 26506, 26507, 26508, 26509, 26510, 26511, 26512, 26513, 26514, 26515, 26516, 26517, 26518, 26519, 26520, 26521, 26522, 26523, 26524, 26525, 26526, 26527, 26528, 26529, 26530, 26531, 26532, 26533, 26534, 26535, 26536, 26537, 26538, 26539, 26540, 26541, 26542, 26543, 26544, 26545, 26546, 26547, 26548, 26549, 26550, 26551, 26552, 26553, 26554, 26555, 26556, 26557, 26558, 26559, 26560, 26561, 26562, 26563, 26564, 26565, 26566, 26567, 26568, 26569, 26570, 26571, 26572, 26573, 26574, 26575, 26576, 26577, 26578, 26579, 26580, 26581, 26582, 26583, 26584, 26585, 26586, 26587, 26588, 26589, 26590, 26591, 26592, 26593, 26594, 26595, 26596, 26597, 26598, 26599, 26600, 26601, 26602, 26603, 26604, 26605, 26606, 26607, 26608, 26609, 26610, 26611, 26612, 26613, 26614, 26615, 26616, 26617, 26618, 26619, 26620, 26621, 26622, 26623, 26624, 26625, 26626, 26627, 26628, 26629, 26630, 26631, 26632, 26633, 26634, 26635, 26636, 26637, 26638, 26639, 26640, 26641, 26642, 26643, 26644, 26645, 26646, 26647, 26648, 26649, 26650, 26651, 26652, 26653, 26654, 26655, 26656, 26657, 26658, 26659, 26660, 26661, 26662, 26663, 26664, 26665, 26666, 26667, 26668, 26669, 26670, 26671, 26672, 26673, 26674, 26675, 26676, 26677, 26678, 26679, 26680, 26681, 26682, 26683, 26684, 26685, 26686, 26687, 26688, 26689, 26690, 26691, 26692, 26693, 26694, 26695, 26696, 26697, 26698, 26699, 26700, 26701, 26702, 26703, 26704, 26705, 26706, 26707, 26708, 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27567, 27568, 27569, 27570, 27571, 27572, 27573, 27574, 27575, 27576, 27577, 27578, 27579, 27580, 27581, 27582, 27583, 27584, 27585, 27586, 27587, 27588, 27589, 27590, 27591, 27592, 27593, 27594, 27595, 27596, 27597, 27598, 27599, 27600, 27601, 27602, 27603, 27604, 27605, 27606, 27607, 27608, 27609, 27610, 27611, 27612, 27613, 27614, 27615, 27616, 27617, 27618, 27619, 27620, 27621, 27622, 27623, 27624, 27625, 27626, 27627, 27628, 27629, 27630, 27631, 27632, 27633, 27634, 27635, 27636, 27637, 27638, 27639, 27640, 27641, 27642, 27643, 27644, 27645, 27646, 27647, 27648, 27649, 27650, 27651, 27652, 27653, 27654, 27655, 27656, 27657, 27658, 27659, 27660, 27661, 27662, 27663, 27664, 27665, 27666, 27667, 27668, 27669, 27670, 27671, 27672, 27673, 27674, 27675, 27676, 27677, 27678, 27679, 27680, 27681, 27682, 27683, 27684, 27685, 27686, 27687, 27688, 27689, 27690, 27691, 27692, 27693, 27694, 27695, 27696, 27697, 27698, 27699, 27700, 27701, 27702, 27703, 27704, 27705, 27706, 27707, 27708, 27709, 27710, 27711, 27712, 27713, 27714, 27715, 27716, 27717, 27718, 27719, 27720, 27721, 27722, 27723, 27724, 27725, 27726, 27727, 27728, 27729, 27730, 27731, 27732, 27733, 27734, 27735, 27736, 27737, 27738, 27739, 27740, 27741, 27742, 27743, 27744, 27745, 27746, 27747, 27748, 27749, 27750, 27751, 27752, 27753, 27754, 27755, 27756, 27757, 27758, 27759, 27760, 27761, 27762, 27763, 27764, 27765, 27766, 27767, 27768, 27769, 27770, 27771, 27772, 27773, 27774, 27775, 27776, 27777, 27778, 27779, 27780, 27781, 27782, 27783, 27784, 27785, 27786, 27787, 27788, 27789, 27790, 27791, 27792, 27793, 27794, 27795, 27796, 27797, 27798, 27799, 27800, 27801, 27802, 27803, 27804, 27805, 27806, 27807, 27808, 27809, 27810, 27811, 27812, 27813, 27814, 27815, 27816, 27817, 27818, 27819, 27820, 27821, 27822, 27823, 27824, 27825, 27826, 27827, 27828, 27829, 27830, 27831, 27832, 27833, 27834, 27835, 27836, 27837, 27838, 27839, 27840, 27841, 27842, 27843, 27844, 27845, 27846, 27847, 27848, 27849, 27850, 27851, 27852, 27853, 27854, 27855, 27856, 27857, 27858, 27859, 27860, 27861, 27862, 27863, 27864, 27865, 27866, 27867, 27868, 27869, 27870, 27871, 27872, 27873, 27874, 27875, 27876, 27877, 27878, 27879, 27880, 27881, 27882, 27883, 27884, 27885, 27886, 27887, 27888, 27889, 27890, 27891, 27892, 27893, 27894, 27895, 27896, 27897, 27898, 27899, 27900, 27901, 27902, 27903, 27904, 27905, 27906, 27907, 27908, 27909, 27910, 27911, 27912, 27913, 27914, 27915, 27916, 27917, 27918, 27919, 27920, 27921, 27922, 27923, 27924, 27925, 27926, 27927, 27928, 27929, 27930, 27931, 27932, 27933, 27934, 27935, 27936, 27937, 27938, 27939, 27940, 27941, 27942, 27943, 27944, 27945, 27946, 27947, 27948, 27949, 27950, 27951, 27952, 27953, 27954, 27955, 27956, 27957, 27958, 27959, 27960, 27961, 27962, 27963, 27964, 27965, 27966, 27967, 27968, 27969, 27970, 27971, 27972, 27973, 27974, 27975, 27976, 27977, 27978, 27979, 27980, 27981, 27982, 27983, 27984, 27985, 27986, 27987, 27988, 27989, 27990, 27991, 27992, 27993, 27994, 27995, 27996, 27997, 27998, 27999, 28000, 28001, 28002, 28003, 28004, 28005, 28006, 28007, 28008, 28009, 28010, 28011, 28012, 28013, 28014, 28015, 28016, 28017, 28018, 28019, 28020, 28021, 28022, 28023, 28024, 28025, 28026, 28027, 28028, 28029, 28030, 28031, 28032, 28033, 28034, 28035, 28036, 28037, 28038, 28039, 28040, 28041, 28042, 28043, 28044, 28045, 28046, 28047, 28048, 28049, 28050, 28051, 28052, 28053, 28054, 28055, 28056, 28057, 28058, 28059, 28060, 28061, 28062, 28063, 28064, 28065, 28066, 28067, 28068, 28069, 28070, 28071, 28072, 28073, 28074, 28075, 28076, 28077, 28078, 28079, 28080, 28081, 28082, 28083, 28084, 28085, 28086, 28087, 28088, 28089, 28090, 28091, 28092, 28093, 28094, 28095, 28096, 28097, 28098, 28099, 28100, 28101, 28102, 28103, 28104, 28105, 28106, 28107, 28108, 28109, 28110, 28111, 28112, 28113, 28114, 28115, 28116, 28117, 28118, 28119, 28120, 28121, 28122, 28123, 28124, 28125, 28126, 28127, 28128, 28129, 28130, 28131, 28132, 28133, 28134, 28135, 28136, 28137, 28138, 28139, 28140, 28141, 28142, 28143, 28144, 28145, 28146, 28147, 28148, 28149, 28150, 28151, 28152, 28153, 28154, 28155, 28156, 28157, 28158, 28159, 28160, 28161, 28162, 28163, 28164, 28165, 28166, 28167, 28168, 28169, 28170, 28171, 28172, 28173, 28174, 28175, 28176, 28177, 28178, 28179, 28180, 28181, 28182, 28183, 28184, 28185, 28186, 28187, 28188, 28189, 28190, 28191, 28192, 28193, 28194, 28195, 28196, 28197, 28198, 28199, 28200, 28201, 28202, 28203, 28204, 28205, 28206, 28207, 28208, 28209, 28210, were changed to 'I'

Substep 49 
Description:

20-May-2019 15:27:47: Flags for columns WinDir_Std_Dev, at rows 26434, 26435, 26436, 26437, 26438, 26439, 26440, 26441, 26442, 26443, 26444, 26445, 26446, 26447, 26448, 26449, 26450, 26451, 26452, 26453, 26454, 26455, 26456, 26457, 26458, 26459, 26460, 26461, 26462, 26463, 26464, 26465, 26466, 26467, 26468, 26469, 26470, 26471, 26472, 26473, 26474, 26475, 26476, 26477, 26478, 26479, 26480, 26481, 26482, 26483, 26484, 26485, 26486, 26487, 26488, 26489, 26490, 26491, 26492, 26493, 26494, 26495, 26496, 26497, 26498, 26499, 26500, 26501, 26502, 26503, 26504, 26505, 26506, 26507, 26508, 26509, 26510, 26511, 26512, 26513, 26514, 26515, 26516, 26517, 26518, 26519, 26520, 26521, 26522, 26523, 26524, 26525, 26526, 26527, 26528, 26529, 26530, 26531, 26532, 26533, 26534, 26535, 26536, 26537, 26538, 26539, 26540, 26541, 26542, 26543, 26544, 26545, 26546, 26547, 26548, 26549, 26550, 26551, 26552, 26553, 26554, 26555, 26556, 26557, 26558, 26559, 26560, 26561, 26562, 26563, 26564, 26565, 26566, 26567, 26568, 26569, 26570, 26571, 26572, 26573, 26574, 26575, 26576, 26577, 26578, 26579, 26580, 26581, 26582, 26583, 26584, 26585, 26586, 26587, 26588, 26589, 26590, 26591, 26592, 26593, 26594, 26595, 26596, 26597, 26598, 26599, 26600, 26601, 26602, 26603, 26604, 26605, 26606, 26607, 26608, 26609, 26610, 26611, 26612, 26613, 26614, 26615, 26616, 26617, 26618, 26619, 26620, 26621, 26622, 26623, 26624, 26625, 26626, 26627, 26628, 26629, 26630, 26631, 26632, 26633, 26634, 26635, 26636, 26637, 26638, 26639, 26640, 26641, 26642, 26643, 26644, 26645, 26646, 26647, 26648, 26649, 26650, 26651, 26652, 26653, 26654, 26655, 26656, 26657, 26658, 26659, 26660, 26661, 26662, 26663, 26664, 26665, 26666, 26667, 26668, 26669, 26670, 26671, 26672, 26673, 26674, 26675, 26676, 26677, 26678, 26679, 26680, 26681, 26682, 26683, 26684, 26685, 26686, 26687, 26688, 26689, 26690, 26691, 26692, 26693, 26694, 26695, 26696, 26697, 26698, 26699, 26700, 26701, 26702, 26703, 26704, 26705, 26706, 26707, 26708, 26709, 26710, 26711, 26712, 26713, 26714, 26715, 26716, 26717, 26718, 26719, 26720, 26721, 26722, 26723, 26724, 26725, 26726, 26727, 26728, 26729, 26730, 26731, 26732, 26733, 26734, 26735, 26736, 26737, 26738, 26739, 26740, 26741, 26742, 26743, 26744, 26745, 26746, 26747, 26748, 26749, 26750, 26751, 26752, 26753, 26754, 26755, 26756, 26757, 26758, 26759, 26760, 26761, 26762, 26763, 26764, 26765, 26766, 26767, 26768, 26769, 26770, 26771, 26772, 26773, 26774, 26775, 26776, 26777, 26778, 26779, 26780, 26781, 26782, 26783, 26784, 26785, 26786, 26787, 26788, 26789, 26790, 26791, 26792, 26793, 26794, 26795, 26796, 26797, 26798, 26799, 26800, 26801, 26802, 26803, 26804, 26805, 26806, 26807, 26808, 26809, 26810, 26811, 26812, 26813, 26814, 26815, 26816, 26817, 26818, 26819, 26820, 26821, 26822, 26823, 26824, 26825, 26826, 26827, 26828, 26829, 26830, 26831, 26832, 26833, 26834, 26835, 26836, 26837, 26838, 26839, 26840, 26841, 26842, 26843, 26844, 26845, 26846, 26847, 26848, 26849, 26850, 26851, 26852, 26853, 26854, 26855, 26856, 26857, 26858, 26859, 26860, 26861, 26862, 26863, 26864, 26865, 26866, 26867, 26868, 26869, 26870, 26871, 26872, 26873, 26874, 26875, 26876, 26877, 26878, 26879, 26880, 26881, 26882, 26883, 26884, 26885, 26886, 26887, 26888, 26889, 26890, 26891, 26892, 26893, 26894, 26895, 26896, 26897, 26898, 26899, 26900, 26901, 26902, 26903, 26904, 26905, 26906, 26907, 26908, 26909, 26910, 26911, 26912, 26913, 26914, 26915, 26916, 26917, 26918, 26919, 26920, 26921, 26922, 26923, 26924, 26925, 26926, 26927, 26928, 26929, 26930, 26931, 26932, 26933, 26934, 26935, 26936, 26937, 26938, 26939, 26940, 26941, 26942, 26943, 26944, 26945, 26946, 26947, 26948, 26949, 26950, 26951, 26952, 26953, 26954, 26955, 26956, 26957, 26958, 26959, 26960, 26961, 26962, 26963, 26964, 26965, 26966, 26967, 26968, 26969, 26970, 26971, 26972, 26973, 26974, 26975, 26976, 26977, 26978, 26979, 26980, 26981, 26982, 26983, 26984, 26985, 26986, 26987, 26988, 26989, 26990, 26991, 26992, 26993, 26994, 26995, 26996, 26997, 26998, 26999, 27000, 27001, 27002, 27003, 27004, 27005, 27006, 27007, 27008, 27009, 27010, 27011, 27012, 27013, 27014, 27015, 27016, 27017, 27018, 27019, 27020, 27021, 27022, 27023, 27024, 27025, 27026, 27027, 27028, 27029, 27030, 27031, 27032, 27033, 27034, 27035, 27036, 27037, 27038, 27039, 27040, 27041, 27042, 27043, 27044, 27045, 27046, 27047, 27048, 27049, 27050, 27051, 27052, 27053, 27054, 27055, 27056, 27057, 27058, 27059, 27060, 27061, 27062, 27063, 27064, 27065, 27066, 27067, 27068, 27069, 27070, 27071, 27072, 27073, 27074, 27075, 27076, 27077, 27078, 27079, 27080, 27081, 27082, 27083, 27084, 27085, 27086, 27087, 27088, 27089, 27090, 27091, 27092, 27093, 27094, 27095, 27096, 27097, 27098, 27099, 27100, 27101, 27102, 27103, 27104, 27105, 27106, 27107, 27108, 27109, 27110, 27111, 27112, 27113, 27114, 27115, 27116, 27117, 27118, 27119, 27120, 27121, 27122, 27123, 27124, 27125, 27126, 27127, 27128, 27129, 27130, 27131, 27132, 27133, 27134, 27135, 27136, 27137, 27138, 27139, 27140, 27141, 27142, 27143, 27144, 27145, 27146, 27147, 27148, 27149, 27150, 27151, 27152, 27153, 27154, 27155, 27156, 27157, 27158, 27159, 27160, 27161, 27162, 27163, 27164, 27165, 27166, 27167, 27168, 27169, 27170, 27171, 27172, 27173, 27174, 27175, 27176, 27177, 27178, 27179, 27180, 27181, 27182, 27183, 27184, 27185, 27186, 27187, 27188, 27189, 27190, 27191, 27192, 27193, 27194, 27195, 27196, 27197, 27198, 27199, 27200, 27201, 27202, 27203, 27204, 27205, 27206, 27207, 27208, 27209, 27210, 27211, 27212, 27213, 27214, 27215, 27216, 27217, 27218, 27219, 27220, 27221, 27222, 27223, 27224, 27225, 27226, 27227, 27228, 27229, 27230, 27231, 27232, 27233, 27234, 27235, 27236, 27237, 27238, 27239, 27240, 27241, 27242, 27243, 27244, 27245, 27246, 27247, 27248, 27249, 27250, 27251, 27252, 27253, 27254, 27255, 27256, 27257, 27258, 27259, 27260, 27261, 27262, 27263, 27264, 27265, 27266, 27267, 27268, 27269, 27270, 27271, 27272, 27273, 27274, 27275, 27276, 27277, 27278, 27279, 27280, 27281, 27282, 27283, 27284, 27285, 27286, 27287, 27288, 27289, 27290, 27291, 27292, 27293, 27294, 27295, 27296, 27297, 27298, 27299, 27300, 27301, 27302, 27303, 27304, 27305, 27306, 27307, 27308, 27309, 27310, 27311, 27312, 27313, 27314, 27315, 27316, 27317, 27318, 27319, 27320, 27321, 27322, 27323, 27324, 27325, 27326, 27327, 27328, 27329, 27330, 27331, 27332, 27333, 27334, 27335, 27336, 27337, 27338, 27339, 27340, 27341, 27342, 27343, 27344, 27345, 27346, 27347, 27348, 27349, 27350, 27351, 27352, 27353, 27354, 27355, 27356, 27357, 27358, 27359, 27360, 27361, 27362, 27363, 27364, 27365, 27366, 27367, 27368, 27369, 27370, 27371, 27372, 27373, 27374, 27375, 27376, 27377, 27378, 27379, 27380, 27381, 27382, 27383, 27384, 27385, 27386, 27387, 27388, 27389, 27390, 27391, 27392, 27393, 27394, 27395, 27396, 27397, 27398, 27399, 27400, 27401, 27402, 27403, 27404, 27405, 27406, 27407, 27408, 27409, 27410, 27411, 27412, 27413, 27414, 27415, 27416, 27417, 27418, 27419, 27420, 27421, 27422, 27423, 27424, 27425, 27426, 27427, 27428, 27429, 27430, 27431, 27432, 27433, 27434, 27435, 27436, 27437, 27438, 27439, 27440, 27441, 27442, 27443, 27444, 27445, 27446, 27447, 27448, 27449, 27450, 27451, 27452, 27453, 27454, 27455, 27456, 27457, 27458, 27459, 27460, 27461, 27462, 27463, 27464, 27465, 27466, 27467, 27468, 27469, 27470, 27471, 27472, 27473, 27474, 27475, 27476, 27477, 27478, 27479, 27480, 27481, 27482, 27483, 27484, 27485, 27486, 27487, 27488, 27489, 27490, 27491, 27492, 27493, 27494, 27495, 27496, 27497, 27498, 27499, 27500, 27501, 27502, 27503, 27504, 27505, 27506, 27507, 27508, 27509, 27510, 27511, 27512, 27513, 27514, 27515, 27516, 27517, 27518, 27519, 27520, 27521, 27522, 27523, 27524, 27525, 27526, 27527, 27528, 27529, 27530, 27531, 27532, 27533, 27534, 27535, 27536, 27537, 27538, 27539, 27540, 27541, 27542, 27543, 27544, 27545, 27546, 27547, 27548, 27549, 27550, 27551, 27552, 27553, 27554, 27555, 27556, 27557, 27558, 27559, 27560, 27561, 27562, 27563, 27564, 27565, 27566, 27567, 27568, 27569, 27570, 27571, 27572, 27573, 27574, 27575, 27576, 27577, 27578, 27579, 27580, 27581, 27582, 27583, 27584, 27585, 27586, 27587, 27588, 27589, 27590, 27591, 27592, 27593, 27594, 27595, 27596, 27597, 27598, 27599, 27600, 27601, 27602, 27603, 27604, 27605, 27606, 27607, 27608, 27609, 27610, 27611, 27612, 27613, 27614, 27615, 27616, 27617, 27618, 27619, 27620, 27621, 27622, 27623, 27624, 27625, 27626, 27627, 27628, 27629, 27630, 27631, 27632, 27633, 27634, 27635, 27636, 27637, 27638, 27639, 27640, 27641, 27642, 27643, 27644, 27645, 27646, 27647, 27648, 27649, 27650, 27651, 27652, 27653, 27654, 27655, 27656, 27657, 27658, 27659, 27660, 27661, 27662, 27663, 27664, 27665, 27666, 27667, 27668, 27669, 27670, 27671, 27672, 27673, 27674, 27675, 27676, 27677, 27678, 27679, 27680, 27681, 27682, 27683, 27684, 27685, 27686, 27687, 27688, 27689, 27690, 27691, 27692, 27693, 27694, 27695, 27696, 27697, 27698, 27699, 27700, 27701, 27702, 27703, 27704, 27705, 27706, 27707, 27708, 27709, 27710, 27711, 27712, 27713, 27714, 27715, 27716, 27717, 27718, 27719, 27720, 27721, 27722, 27723, 27724, 27725, 27726, 27727, 27728, 27729, 27730, 27731, 27732, 27733, 27734, 27735, 27736, 27737, 27738, 27739, 27740, 27741, 27742, 27743, 27744, 27745, 27746, 27747, 27748, 27749, 27750, 27751, 27752, 27753, 27754, 27755, 27756, 27757, 27758, 27759, 27760, 27761, 27762, 27763, 27764, 27765, 27766, 27767, 27768, 27769, 27770, 27771, 27772, 27773, 27774, 27775, 27776, 27777, 27778, 27779, 27780, 27781, 27782, 27783, 27784, 27785, 27786, 27787, 27788, 27789, 27790, 27791, 27792, 27793, 27794, 27795, 27796, 27797, 27798, 27799, 27800, 27801, 27802, 27803, 27804, 27805, 27806, 27807, 27808, 27809, 27810, 27811, 27812, 27813, 27814, 27815, 27816, 27817, 27818, 27819, 27820, 27821, 27822, 27823, 27824, 27825, 27826, 27827, 27828, 27829, 27830, 27831, 27832, 27833, 27834, 27835, 27836, 27837, 27838, 27839, 27840, 27841, 27842, 27843, 27844, 27845, 27846, 27847, 27848, 27849, 27850, 27851, 27852, 27853, 27854, 27855, 27856, 27857, 27858, 27859, 27860, 27861, 27862, 27863, 27864, 27865, 27866, 27867, 27868, 27869, 27870, 27871, 27872, 27873, 27874, 27875, 27876, 27877, 27878, 27879, 27880, 27881, 27882, 27883, 27884, 27885, 27886, 27887, 27888, 27889, 27890, 27891, 27892, 27893, 27894, 27895, 27896, 27897, 27898, 27899, 27900, 27901, 27902, 27903, 27904, 27905, 27906, 27907, 27908, 27909, 27910, 27911, 27912, 27913, 27914, 27915, 27916, 27917, 27918, 27919, 27920, 27921, 27922, 27923, 27924, 27925, 27926, 27927, 27928, 27929, 27930, 27931, 27932, 27933, 27934, 27935, 27936, 27937, 27938, 27939, 27940, 27941, 27942, 27943, 27944, 27945, 27946, 27947, 27948, 27949, 27950, 27951, 27952, 27953, 27954, 27955, 27956, 27957, 27958, 27959, 27960, 27961, 27962, 27963, 27964, 27965, 27966, 27967, 27968, 27969, 27970, 27971, 27972, 27973, 27974, 27975, 27976, 27977, 27978, 27979, 27980, 27981, 27982, 27983, 27984, 27985, 27986, 27987, 27988, 27989, 27990, 27991, 27992, 27993, 27994, 27995, 27996, 27997, 27998, 27999, 28000, 28001, 28002, 28003, 28004, 28005, 28006, 28007, 28008, 28009, 28010, 28011, 28012, 28013, 28014, 28015, 28016, 28017, 28018, 28019, 28020, 28021, 28022, 28023, 28024, 28025, 28026, 28027, 28028, 28029, 28030, 28031, 28032, 28033, 28034, 28035, 28036, 28037, 28038, 28039, 28040, 28041, 28042, 28043, 28044, 28045, 28046, 28047, 28048, 28049, 28050, 28051, 28052, 28053, 28054, 28055, 28056, 28057, 28058, 28059, 28060, 28061, 28062, 28063, 28064, 28065, 28066, 28067, 28068, 28069, 28070, 28071, 28072, 28073, 28074, 28075, 28076, 28077, 28078, 28079, 28080, 28081, 28082, 28083, 28084, 28085, 28086, 28087, 28088, 28089, 28090, 28091, 28092, 28093, 28094, 28095, 28096, 28097, 28098, 28099, 28100, 28101, 28102, 28103, 28104, 28105, 28106, 28107, 28108, 28109, 28110, 28111, 28112, 28113, 28114, 28115, 28116, 28117, 28118, 28119, 28120, 28121, 28122, 28123, 28124, 28125, 28126, 28127, 28128, 28129, 28130, 28131, 28132, 28133, 28134, 28135, 28136, 28137, 28138, 28139, 28140, 28141, 28142, 28143, 28144, 28145, 28146, 28147, 28148, 28149, 28150, 28151, 28152, 28153, 28154, 28155, 28156, 28157, 28158, 28159, 28160, 28161, 28162, 28163, 28164, 28165, 28166, 28167, 28168, 28169, 28170, 28171, 28172, 28173, 28174, 28175, 28176, 28177, 28178, 28179, 28180, 28181, 28182, 28183, 28184, 28185, 28186, 28187, 28188, 28189, 28190, 28191, 28192, 28193, 28194, 28195, 28196, 28197, 28198, 28199, 28200, 28201, 28202, 28203, 28204, 28205, 28206, 28207, 28208, 28209, 28210, were changed to '<No flag>'

Substep 50 
Description:

20-May-2019 15:27:56: Flags for columns WinDir_Std_Dev, at rows 26434, 26435, 26436, 26437, 26438, 26439, 26440, 26441, 26442, 26443, 26444, 26445, 26446, 26447, 26448, 26449, 26450, 26451, 26452, 26453, 26454, 26455, 26456, 26457, 26458, 26459, 26460, 26461, 26462, 26463, 26464, 26465, 26466, 26467, 26468, 26469, 26470, 26471, 26472, 26473, 26474, 26475, 26476, 26477, 26478, 26479, 26480, 26481, 26482, 26483, 26484, 26485, 26486, 26487, 26488, 26489, 26490, 26491, 26492, 26493, 26494, 26495, 26496, 26497, 26498, 26499, 26500, 26501, 26502, 26503, 26504, 26505, 26506, 26507, 26508, 26509, 26510, 26511, 26512, 26513, 26514, 26515, 26516, 26517, 26518, 26519, 26520, 26521, 26522, 26523, 26524, 26525, 26526, 26527, 26528, 26529, 26530, 26531, 26532, 26533, 26534, 26535, 26536, 26537, 26538, 26539, 26540, 26541, 26542, 26543, 26544, 26545, 26546, 26547, 26548, 26549, 26550, 26551, 26552, 26553, 26554, 26555, 26556, 26557, 26558, 26559, 26560, 26561, 26562, 26563, 26564, 26565, 26566, 26567, 26568, 26569, 26570, 26571, 26572, 26573, 26574, 26575, 26576, 26577, 26578, 26579, 26580, 26581, 26582, 26583, 26584, 26585, 26586, 26587, 26588, 26589, 26590, 26591, 26592, 26593, 26594, 26595, 26596, 26597, 26598, 26599, 26600, 26601, 26602, 26603, 26604, 26605, 26606, 26607, 26608, 26609, 26610, 26611, 26612, 26613, 26614, 26615, 26616, 26617, 26618, 26619, 26620, 26621, 26622, 26623, 26624, 26625, 26626, 26627, 26628, 26629, 26630, 26631, 26632, 26633, 26634, 26635, 26636, 26637, 26638, 26639, 26640, 26641, 26642, 26643, 26644, 26645, 26646, 26647, 26648, 26649, 26650, 26651, 26652, 26653, 26654, 26655, 26656, 26657, 26658, 26659, 26660, 26661, 26662, 26663, 26664, 26665, 26666, 26667, 26668, 26669, 26670, 26671, 26672, 26673, 26674, 26675, 26676, 26677, 26678, 26679, 26680, 26681, 26682, 26683, 26684, 26685, 26686, 26687, 26688, 26689, 26690, 26691, 26692, 26693, 26694, 26695, 26696, 26697, 26698, 26699, 26700, 26701, 26702, 26703, 26704, 26705, 26706, 26707, 26708, 26709, 26710, 26711, 26712, 26713, 26714, 26715, 26716, 26717, 26718, 26719, 26720, 26721, 26722, 26723, 26724, 26725, 26726, 26727, 26728, 26729, 26730, 26731, 26732, 26733, 26734, 26735, 26736, 26737, 26738, 26739, 26740, 26741, 26742, 26743, 26744, 26745, 26746, 26747, 26748, 26749, 26750, 26751, 26752, 26753, 26754, 26755, 26756, 26757, 26758, 26759, 26760, 26761, 26762, 26763, 26764, 26765, 26766, 26767, 26768, 26769, 26770, 26771, 26772, 26773, 26774, 26775, 26776, 26777, 26778, 26779, 26780, 26781, 26782, 26783, 26784, 26785, 26786, 26787, 26788, 26789, 26790, 26791, 26792, 26793, 26794, 26795, 26796, 26797, 26798, 26799, 26800, 26801, 26802, 26803, 26804, 26805, 26806, 26807, 26808, 26809, 26810, 26811, 26812, 26813, 26814, 26815, 26816, 26817, 26818, 26819, 26820, 26821, 26822, 26823, 26824, 26825, 26826, 26827, 26828, 26829, 26830, 26831, 26832, 26833, 26834, 26835, 26836, 26837, 26838, 26839, 26840, 26841, 26842, 26843, 26844, 26845, 26846, 26847, 26848, 26849, 26850, 26851, 26852, 26853, 26854, 26855, 26856, 26857, 26858, 26859, 26860, 26861, 26862, 26863, 26864, 26865, 26866, 26867, 26868, 26869, 26870, 26871, 26872, 26873, 26874, 26875, 26876, 26877, 26878, 26879, 26880, 26881, 26882, 26883, 26884, 26885, 26886, 26887, 26888, 26889, 26890, 26891, 26892, 26893, 26894, 26895, 26896, 26897, 26898, 26899, 26900, 26901, 26902, 26903, 26904, 26905, 26906, 26907, 26908, 26909, 26910, 26911, 26912, 26913, 26914, 26915, 26916, 26917, 26918, 26919, 26920, 26921, 26922, 26923, 26924, 26925, 26926, 26927, 26928, 26929, 26930, 26931, 26932, 26933, 26934, 26935, 26936, 26937, 26938, 26939, 26940, 26941, 26942, 26943, 26944, 26945, 26946, 26947, 26948, 26949, 26950, 26951, 26952, 26953, 26954, 26955, 26956, 26957, 26958, 26959, 26960, 26961, 26962, 26963, 26964, 26965, 26966, 26967, 26968, 26969, 26970, 26971, 26972, 26973, 26974, 26975, 26976, 26977, 26978, 26979, 26980, 26981, 26982, 26983, 26984, 26985, 26986, 26987, 26988, 26989, 26990, 26991, 26992, 26993, 26994, 26995, 26996, 26997, 26998, 26999, 27000, 27001, 27002, 27003, 27004, 27005, 27006, 27007, 27008, 27009, 27010, 27011, 27012, 27013, 27014, 27015, 27016, 27017, 27018, 27019, 27020, 27021, 27022, 27023, 27024, 27025, 27026, 27027, 27028, 27029, 27030, 27031, 27032, 27033, 27034, 27035, 27036, 27037, 27038, 27039, 27040, 27041, 27042, 27043, 27044, 27045, 27046, 27047, 27048, 27049, 27050, 27051, 27052, 27053, 27054, 27055, 27056, 27057, 27058, 27059, 27060, 27061, 27062, 27063, 27064, 27065, 27066, 27067, 27068, 27069, 27070, 27071, 27072, 27073, 27074, 27075, 27076, 27077, 27078, 27079, 27080, 27081, 27082, 27083, 27084, 27085, 27086, 27087, 27088, 27089, 27090, 27091, 27092, 27093, 27094, 27095, 27096, 27097, 27098, 27099, 27100, 27101, 27102, 27103, 27104, 27105, 27106, 27107, 27108, 27109, 27110, 27111, 27112, 27113, 27114, 27115, 27116, 27117, 27118, 27119, 27120, 27121, 27122, 27123, 27124, 27125, 27126, 27127, 27128, 27129, 27130, 27131, 27132, 27133, 27134, 27135, 27136, 27137, 27138, 27139, 27140, 27141, 27142, 27143, 27144, 27145, 27146, 27147, 27148, 27149, 27150, 27151, 27152, 27153, 27154, 27155, 27156, 27157, 27158, 27159, 27160, 27161, 27162, 27163, 27164, 27165, 27166, 27167, 27168, 27169, 27170, 27171, 27172, 27173, 27174, 27175, 27176, 27177, 27178, 27179, 27180, 27181, 27182, 27183, 27184, 27185, 27186, 27187, 27188, 27189, 27190, 27191, 27192, 27193, 27194, 27195, 27196, 27197, 27198, 27199, 27200, 27201, 27202, 27203, 27204, 27205, 27206, 27207, 27208, 27209, 27210, 27211, 27212, 27213, 27214, 27215, 27216, 27217, 27218, 27219, 27220, 27221, 27222, 27223, 27224, 27225, 27226, 27227, 27228, 27229, 27230, 27231, 27232, 27233, 27234, 27235, 27236, 27237, 27238, 27239, 27240, 27241, 27242, 27243, 27244, 27245, 27246, 27247, 27248, 27249, 27250, 27251, 27252, 27253, 27254, 27255, 27256, 27257, 27258, 27259, 27260, 27261, 27262, 27263, 27264, 27265, 27266, 27267, 27268, 27269, 27270, 27271, 27272, 27273, 27274, 27275, 27276, 27277, 27278, 27279, 27280, 27281, 27282, 27283, 27284, 27285, 27286, 27287, 27288, 27289, 27290, 27291, 27292, 27293, 27294, 27295, 27296, 27297, 27298, 27299, 27300, 27301, 27302, 27303, 27304, 27305, 27306, 27307, 27308, 27309, 27310, 27311, 27312, 27313, 27314, 27315, 27316, 27317, 27318, 27319, 27320, 27321, 27322, 27323, 27324, 27325, 27326, 27327, 27328, 27329, 27330, 27331, 27332, 27333, 27334, 27335, 27336, 27337, 27338, 27339, 27340, 27341, 27342, 27343, 27344, 27345, 27346, 27347, 27348, 27349, 27350, 27351, 27352, 27353, 27354, 27355, 27356, 27357, 27358, 27359, 27360, 27361, 27362, 27363, 27364, 27365, 27366, 27367, 27368, 27369, 27370, 27371, 27372, 27373, 27374, 27375, 27376, 27377, 27378, 27379, 27380, 27381, 27382, 27383, 27384, 27385, 27386, 27387, 27388, 27389, 27390, 27391, 27392, 27393, 27394, 27395, 27396, 27397, 27398, 27399, 27400, 27401, 27402, 27403, 27404, 27405, 27406, 27407, 27408, 27409, 27410, 27411, 27412, 27413, 27414, 27415, 27416, 27417, 27418, 27419, 27420, 27421, 27422, 27423, 27424, 27425, 27426, 27427, 27428, 27429, 27430, 27431, 27432, 27433, 27434, 27435, 27436, 27437, 27438, 27439, 27440, 27441, 27442, 27443, 27444, 27445, 27446, 27447, 27448, 27449, 27450, 27451, 27452, 27453, 27454, 27455, 27456, 27457, 27458, 27459, 27460, 27461, 27462, 27463, 27464, 27465, 27466, 27467, 27468, 27469, 27470, 27471, 27472, 27473, 27474, 27475, 27476, 27477, 27478, 27479, 27480, 27481, 27482, 27483, 27484, 27485, 27486, 27487, 27488, 27489, 27490, 27491, 27492, 27493, 27494, 27495, 27496, 27497, 27498, 27499, 27500, 27501, 27502, 27503, 27504, 27505, 27506, 27507, 27508, 27509, 27510, 27511, 27512, 27513, 27514, 27515, 27516, 27517, 27518, 27519, 27520, 27521, 27522, 27523, 27524, 27525, 27526, 27527, 27528, 27529, 27530, 27531, 27532, 27533, 27534, 27535, 27536, 27537, 27538, 27539, 27540, 27541, 27542, 27543, 27544, 27545, 27546, 27547, 27548, 27549, 27550, 27551, 27552, 27553, 27554, 27555, 27556, 27557, 27558, 27559, 27560, 27561, 27562, 27563, 27564, 27565, 27566, 27567, 27568, 27569, 27570, 27571, 27572, 27573, 27574, 27575, 27576, 27577, 27578, 27579, 27580, 27581, 27582, 27583, 27584, 27585, 27586, 27587, 27588, 27589, 27590, 27591, 27592, 27593, 27594, 27595, 27596, 27597, 27598, 27599, 27600, 27601, 27602, 27603, 27604, 27605, 27606, 27607, 27608, 27609, 27610, 27611, 27612, 27613, 27614, 27615, 27616, 27617, 27618, 27619, 27620, 27621, 27622, 27623, 27624, 27625, 27626, 27627, 27628, 27629, 27630, 27631, 27632, 27633, 27634, 27635, 27636, 27637, 27638, 27639, 27640, 27641, 27642, 27643, 27644, 27645, 27646, 27647, 27648, 27649, 27650, 27651, 27652, 27653, 27654, 27655, 27656, 27657, 27658, 27659, 27660, 27661, 27662, 27663, 27664, 27665, 27666, 27667, 27668, 27669, 27670, 27671, 27672, 27673, 27674, 27675, 27676, 27677, 27678, 27679, 27680, 27681, 27682, 27683, 27684, 27685, 27686, 27687, 27688, 27689, 27690, 27691, 27692, 27693, 27694, 27695, 27696, 27697, 27698, 27699, 27700, 27701, 27702, 27703, 27704, 27705, 27706, 27707, 27708, 27709, 27710, 27711, 27712, 27713, 27714, 27715, 27716, 27717, 27718, 27719, 27720, 27721, 27722, 27723, 27724, 27725, 27726, 27727, 27728, 27729, 27730, 27731, 27732, 27733, 27734, 27735, 27736, 27737, 27738, 27739, 27740, 27741, 27742, 27743, 27744, 27745, 27746, 27747, 27748, 27749, 27750, 27751, 27752, 27753, 27754, 27755, 27756, 27757, 27758, 27759, 27760, 27761, 27762, 27763, 27764, 27765, 27766, 27767, 27768, 27769, 27770, 27771, 27772, 27773, 27774, 27775, 27776, 27777, 27778, 27779, 27780, 27781, 27782, 27783, 27784, 27785, 27786, 27787, 27788, 27789, 27790, 27791, 27792, 27793, 27794, 27795, 27796, 27797, 27798, 27799, 27800, 27801, 27802, 27803, 27804, 27805, 27806, 27807, 27808, 27809, 27810, 27811, 27812, 27813, 27814, 27815, 27816, 27817, 27818, 27819, 27820, 27821, 27822, 27823, 27824, 27825, 27826, 27827, 27828, 27829, 27830, 27831, 27832, 27833, 27834, 27835, 27836, 27837, 27838, 27839, 27840, 27841, 27842, 27843, 27844, 27845, 27846, 27847, 27848, 27849, 27850, 27851, 27852, 27853, 27854, 27855, 27856, 27857, 27858, 27859, 27860, 27861, 27862, 27863, 27864, 27865, 27866, 27867, 27868, 27869, 27870, 27871, 27872, 27873, 27874, 27875, 27876, 27877, 27878, 27879, 27880, 27881, 27882, 27883, 27884, 27885, 27886, 27887, 27888, 27889, 27890, 27891, 27892, 27893, 27894, 27895, 27896, 27897, 27898, 27899, 27900, 27901, 27902, 27903, 27904, 27905, 27906, 27907, 27908, 27909, 27910, 27911, 27912, 27913, 27914, 27915, 27916, 27917, 27918, 27919, 27920, 27921, 27922, 27923, 27924, 27925, 27926, 27927, 27928, 27929, 27930, 27931, 27932, 27933, 27934, 27935, 27936, 27937, 27938, 27939, 27940, 27941, 27942, 27943, 27944, 27945, 27946, 27947, 27948, 27949, 27950, 27951, 27952, 27953, 27954, 27955, 27956, 27957, 27958, 27959, 27960, 27961, 27962, 27963, 27964, 27965, 27966, 27967, 27968, 27969, 27970, 27971, 27972, 27973, 27974, 27975, 27976, 27977, 27978, 27979, 27980, 27981, 27982, 27983, 27984, 27985, 27986, 27987, 27988, 27989, 27990, 27991, 27992, 27993, 27994, 27995, 27996, 27997, 27998, 27999, 28000, 28001, 28002, 28003, 28004, 28005, 28006, 28007, 28008, 28009, 28010, 28011, 28012, 28013, 28014, 28015, 28016, 28017, 28018, 28019, 28020, 28021, 28022, 28023, 28024, 28025, 28026, 28027, 28028, 28029, 28030, 28031, 28032, 28033, 28034, 28035, 28036, 28037, 28038, 28039, 28040, 28041, 28042, 28043, 28044, 28045, 28046, 28047, 28048, 28049, 28050, 28051, 28052, 28053, 28054, 28055, 28056, 28057, 28058, 28059, 28060, 28061, 28062, 28063, 28064, 28065, 28066, 28067, 28068, 28069, 28070, 28071, 28072, 28073, 28074, 28075, 28076, 28077, 28078, 28079, 28080, 28081, 28082, 28083, 28084, 28085, 28086, 28087, 28088, 28089, 28090, 28091, 28092, 28093, 28094, 28095, 28096, 28097, 28098, 28099, 28100, 28101, 28102, 28103, 28104, 28105, 28106, 28107, 28108, 28109, 28110, 28111, 28112, 28113, 28114, 28115, 28116, 28117, 28118, 28119, 28120, 28121, 28122, 28123, 28124, 28125, 28126, 28127, 28128, 28129, 28130, 28131, 28132, 28133, 28134, 28135, 28136, 28137, 28138, 28139, 28140, 28141, 28142, 28143, 28144, 28145, 28146, 28147, 28148, 28149, 28150, 28151, 28152, 28153, 28154, 28155, 28156, 28157, 28158, 28159, 28160, 28161, 28162, 28163, 28164, 28165, 28166, 28167, 28168, 28169, 28170, 28171, 28172, 28173, 28174, 28175, 28176, 28177, 28178, 28179, 28180, 28181, 28182, 28183, 28184, 28185, 28186, 28187, 28188, 28189, 28190, 28191, 28192, 28193, 28194, 28195, 28196, 28197, 28198, 28199, 28200, 28201, 28202, 28203, 28204, 28205, 28206, 28207, 28208, 28209, 28210, were changed to 'I'

Substep 51 
Description:

20-May-2019 15:31:59: Flags for columns WS_ms_150cm_Avg, at rows 37511, 37512, 37513, 37514, 37515, 37516, 37517, 37518, 37519, 37520, 37521, 37522, 37523, 37524, 37525, 37526, 37527, 37528, 37529, 37530, 37531, 37532, 37533, 37534, 37535, 37536, 37537, 37538, 37539, 37540, 37541, 37542, 37543, 37544, 37545, 37546, 37547, 37548, 37549, 37550, 37551, 37552, 37553, 37554, 37555, 37556, 37557, 37558, 37559, 37560, 37561, 37562, 37563, 37564, 37565, 37566, were changed to 'I'

Substep 52 
Description:

20-May-2019 15:32:17: Flags for columns WS_ms_150cm_Max, at rows 37511, 37512, 37513, 37514, 37515, 37516, 37517, 37518, 37519, 37520, 37521, 37522, 37523, 37524, 37525, 37526, 37527, 37528, 37529, 37530, 37531, 37532, 37533, 37534, 37535, 37536, 37537, 37538, 37539, 37540, 37541, 37542, 37543, 37544, 37545, 37546, 37547, 37548, 37549, 37550, 37551, 37552, 37553, 37554, 37555, 37556, 37557, 37558, 37559, 37560, 37561, 37562, 37563, 37564, 37565, 37566, were changed to 'I'

Substep 53 
Description:

20-May-2019 15:47:46: Flags for columns WS_ms_150cm_Avg, at rows 43327, 43328, 43329, 43330, 43331, 43332, 43333, 43334, 43335, 43336, 43337, 43338, 43339, 43340, 43341, 43342, 43343, 43344, 43345, 43346, 43347, 43348, 43349, 43350, 43351, 43352, 43353, 43354, 43355, 43356, 43357, 43358, 43359, 43360, 43361, 43362, 43363, 43364, 43365, 43366, 43367, 43368, 43369, 43370, 43371, 43372, 43373, 43374, 43375, 43376, 43377, 43378, 43379, 43380, 43381, 43382, 43383, 43384, 43385, 43386, 43387, 43388, 43389, 43390, 43391, 43392, 43393, 43394, 43395, 43396, 43397, 43398, 43399, 43400, 43401, 43402, were changed to 'I'

Substep 54 
Description:

20-May-2019 15:48:21: Flags for columns WS_ms_150cm_Max, at rows 43328, 43329, 43330, 43331, 43332, 43333, 43334, 43335, 43336, 43337, 43338, 43339, 43340, 43341, 43342, 43343, 43344, 43345, 43346, 43347, 43348, 43349, 43350, 43351, 43352, 43353, 43354, 43355, 43356, 43357, 43358, 43359, 43360, 43361, 43362, 43363, 43364, 43365, 43366, 43367, 43368, 43369, 43370, 43371, 43372, 43373, 43374, 43375, 43376, 43377, 43378, 43379, 43380, 43381, 43382, 43383, 43384, 43385, 43386, 43387, 43388, 43389, 43390, 43391, 43392, 43393, 43394, 43395, 43396, 43397, 43398, 43399, 43400, 43401, 43402, were changed to 'I'

Substep 55 
Description:

20-May-2019 15:49:05: Flag for column WS_ms_150cm_Max, at row 43327 (15-Oct-2018 09:00:00) was changed from '<No flag>' to 'Q'

Substep 56 
Description:

20-May-2019 15:53:54: Flags for columns WS_ms_150cm_Max, at rows 43226, 43227, 43228, 43229, 43230, 43231, 43232, were changed to 'I'

Substep 57 
Description:

20-May-2019 15:54:52: Flags for columns WS_ms_150cm_Max, at rows 43226, 43227, 43228, 43229, 43230, 43231, 43232, were changed to '<No flag>'

Substep 58 
Description:

20-May-2019 16:02:09: Data approved from row 1 () to 48527 (20-May-2019 01:00:00)

Substep 59 
Description:

21-May-2019 02:33:29: new GCE Data Structure 1.1 created ('newstruct')

Substep 60 
Description:

21-May-2019 02:33:29: 48336 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 61 
Description:

21-May-2019 02:33:29: 4 metadata fields in file header parsed ('parse_header')

Substep 62 
Description:

21-May-2019 02:33:29: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 63 
Description:

21-May-2019 02:33:29: data structure validated ('gce_valid')

Substep 64 
Description:

21-May-2019 02:33:29: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 65 
Description:

21-May-2019 02:33:32: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 66 
Description:

21-May-2019 02:33:33: converted dates in column(s) Date to format MATLAB serial date

Substep 67 
Description:

21-May-2019 02:33:33: sorted by column Date(ascending) ('sortdata')

Substep 68 
Description:

21-May-2019 02:33:33: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 69 
Description:

21-May-2019 02:33:33: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 70 
Description:

21-May-2019 02:33:33: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 71 
Description:

21-May-2019 02:33:33: sorted by column Date(ascending) ('sortdata')

Substep 72 
Description:

21-May-2019 02:33:33: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 73 
Description:

21-May-2019 02:33:35: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 74 
Description:

21-May-2019 08:14:43: 24 new rows where added using levelTwo.m

Substep 75 
Description:

21-May-2019 08:15:24: Data approved from row 48527 (20-May-2019 01:00:00) to 48551 (21-May-2019 01:00:00)

Substep 76 
Description:

22-May-2019 17:19:12: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 77 
Description:

23-May-2019 17:10:05: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 78 
Description:

23-May-2019 02:34:03: new GCE Data Structure 1.1 created ('newstruct')

Substep 79 
Description:

23-May-2019 02:34:03: 48384 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 80 
Description:

23-May-2019 02:34:03: 4 metadata fields in file header parsed ('parse_header')

Substep 81 
Description:

23-May-2019 02:34:03: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 82 
Description:

23-May-2019 02:34:03: data structure validated ('gce_valid')

Substep 83 
Description:

23-May-2019 02:34:03: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 84 
Description:

23-May-2019 02:34:06: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 85 
Description:

23-May-2019 02:34:07: converted dates in column(s) Date to format MATLAB serial date

Substep 86 
Description:

23-May-2019 02:34:07: sorted by column Date(ascending) ('sortdata')

Substep 87 
Description:

23-May-2019 02:34:07: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 88 
Description:

23-May-2019 02:34:07: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 89 
Description:

23-May-2019 02:34:07: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 90 
Description:

23-May-2019 02:34:08: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 91 
Description:

23-May-2019 02:34:08: sorted by column Date(ascending) ('sortdata')

Substep 92 
Description:

23-May-2019 02:34:08: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 93 
Description:

23-May-2019 02:34:09: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 94 
Description:

23-May-2019 18:17:40: 48 new rows where added using levelTwo.m

Substep 95 
Description:

23-May-2019 18:18:14: Data approved from row 48551 (2019-05-21 01:00:00) to 48599 (2019-05-23 01:00:00)

Substep 96 
Description:

28-May-2019 02:33:58: new GCE Data Structure 1.1 created ('newstruct')

Substep 97 
Description:

28-May-2019 02:33:58: 48504 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 98 
Description:

28-May-2019 02:33:58: 4 metadata fields in file header parsed ('parse_header')

Substep 99 
Description:

28-May-2019 02:33:58: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 100 
Description:

28-May-2019 02:33:58: data structure validated ('gce_valid')

Substep 101 
Description:

28-May-2019 02:33:58: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 102 
Description:

28-May-2019 02:34:01: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 103 
Description:

28-May-2019 02:34:02: converted dates in column(s) Date to format MATLAB serial date

Substep 104 
Description:

28-May-2019 02:34:02: sorted by column Date(ascending) ('sortdata')

Substep 105 
Description:

28-May-2019 02:34:02: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 106 
Description:

28-May-2019 02:34:02: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 107 
Description:

28-May-2019 02:34:02: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 108 
Description:

28-May-2019 02:34:02: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 109 
Description:

28-May-2019 02:34:02: sorted by column Date(ascending) ('sortdata')

Substep 110 
Description:

28-May-2019 02:34:02: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 111 
Description:

28-May-2019 02:34:04: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 112 
Description:

29-May-2019 00:59:30: 120 new rows where added using levelTwo.m

Substep 113 
Description:

04-Jun-2019 16:48:13: new GCE Data Structure 1.1 created ('newstruct')

Substep 114 
Description:

04-Jun-2019 16:48:13: 48686 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 115 
Description:

04-Jun-2019 16:48:13: 4 metadata fields in file header parsed ('parse_header')

Substep 116 
Description:

04-Jun-2019 16:48:13: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 117 
Description:

04-Jun-2019 16:48:13: data structure validated ('gce_valid')

Substep 118 
Description:

04-Jun-2019 16:48:14: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 119 
Description:

04-Jun-2019 16:48:17: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 120 
Description:

04-Jun-2019 16:48:18: converted dates in column(s) Date to format MATLAB serial date

Substep 121 
Description:

04-Jun-2019 16:48:18: sorted by column Date(ascending) ('sortdata')

Substep 122 
Description:

04-Jun-2019 16:48:18: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 123 
Description:

04-Jun-2019 16:48:18: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 124 
Description:

04-Jun-2019 16:48:18: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 125 
Description:

04-Jun-2019 16:48:19: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 126 
Description:

04-Jun-2019 16:48:19: sorted by column Date(ascending) ('sortdata')

Substep 127 
Description:

04-Jun-2019 16:48:19: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 128 
Description:

04-Jun-2019 16:48:20: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 129 
Description:

04-Jun-2019 19:11:28: 182 new rows where added using levelTwo.m

Substep 130 
Description:

04-Jun-2019 19:11:49: All rows from 1 (2013-11-05 03:00:00) to 48599 (2019-05-23 01:00:00) were disapproved

Substep 131 
Description:

04-Jun-2019 19:12:32: Flag for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from '<No flag>' to 'E'

Substep 132 
Description:

04-Jun-2019 19:12:40: Value for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from 0.3000 to 0.2000

Substep 133 
Description:

04-Jun-2019 19:14:14: Data approved from row 1 () to 48813 (2019-05-31 23:00:00)

Substep 134 
Description:

10-Jun-2019 02:34:10: new GCE Data Structure 1.1 created ('newstruct')

Substep 135 
Description:

10-Jun-2019 02:34:10: 48816 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 136 
Description:

10-Jun-2019 02:34:10: 4 metadata fields in file header parsed ('parse_header')

Substep 137 
Description:

10-Jun-2019 02:34:10: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 138 
Description:

10-Jun-2019 02:34:10: data structure validated ('gce_valid')

Substep 139 
Description:

10-Jun-2019 02:34:10: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 140 
Description:

10-Jun-2019 02:34:13: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 141 
Description:

10-Jun-2019 02:34:13: converted dates in column(s) Date to format MATLAB serial date

Substep 142 
Description:

10-Jun-2019 02:34:14: sorted by column Date(ascending) ('sortdata')

Substep 143 
Description:

10-Jun-2019 02:34:14: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 144 
Description:

10-Jun-2019 02:34:14: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 145 
Description:

10-Jun-2019 02:34:14: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 146 
Description:

10-Jun-2019 02:34:14: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 147 
Description:

10-Jun-2019 02:34:14: sorted by column Date(ascending) ('sortdata')

Substep 148 
Description:

10-Jun-2019 02:34:14: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 149 
Description:

10-Jun-2019 02:34:16: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 150 
Description:

10-Jun-2019 11:27:05: 130 new rows where added using levelTwo.m

Substep 151 
Description:

26-Jun-2019 02:34:00: new GCE Data Structure 1.1 created ('newstruct')

Substep 152 
Description:

26-Jun-2019 02:34:00: 49200 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 153 
Description:

26-Jun-2019 02:34:00: 4 metadata fields in file header parsed ('parse_header')

Substep 154 
Description:

26-Jun-2019 02:34:00: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 155 
Description:

26-Jun-2019 02:34:00: data structure validated ('gce_valid')

Substep 156 
Description:

26-Jun-2019 02:34:00: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 157 
Description:

26-Jun-2019 02:34:04: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 158 
Description:

26-Jun-2019 02:34:04: converted dates in column(s) Date to format MATLAB serial date

Substep 159 
Description:

26-Jun-2019 02:34:05: sorted by column Date(ascending) ('sortdata')

Substep 160 
Description:

26-Jun-2019 02:34:05: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 161 
Description:

26-Jun-2019 02:34:05: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 162 
Description:

26-Jun-2019 02:34:05: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 163 
Description:

26-Jun-2019 02:34:05: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 164 
Description:

26-Jun-2019 02:34:05: sorted by column Date(ascending) ('sortdata')

Substep 165 
Description:

26-Jun-2019 02:34:05: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 166 
Description:

26-Jun-2019 02:34:07: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 167 
Description:

26-Jun-2019 07:51:13: 384 new rows where added using levelTwo.m

Substep 168 
Description:

26-Jun-2019 10:31:04: new GCE Data Structure 1.1 created ('newstruct')

Substep 169 
Description:

26-Jun-2019 10:31:04: 49208 rows imported from ASCII data file 'npp_cr1000_c-cali_data_table_1_hour.dat' ('imp_ascii')

Substep 170 
Description:

26-Jun-2019 10:31:04: 4 metadata fields in file header parsed ('parse_header')

Substep 171 
Description:

26-Jun-2019 10:31:04: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Data_Table_1_Hour' ('meta_template')

Substep 172 
Description:

26-Jun-2019 10:31:04: data structure validated ('gce_valid')

Substep 173 
Description:

26-Jun-2019 10:31:04: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 174 
Description:

26-Jun-2019 10:31:08: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 175 
Description:

26-Jun-2019 10:31:09: converted dates in column(s) Date to format MATLAB serial date

Substep 176 
Description:

26-Jun-2019 10:31:09: sorted by column Date(ascending) ('sortdata')

Substep 177 
Description:

26-Jun-2019 10:31:09: removed 669 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 178 
Description:

26-Jun-2019 10:31:09: documented flagged and missing values in columns Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and Ws_mean_Resultant_300cm as data set anomalies in the metadata ('add_anomalies')

Substep 179 
Description:

26-Jun-2019 10:31:09: CheckNanData -> add 2 flags to variable to Air_TempC_Avg, add 2 flags to variable to Air_TempC_Max, add 2 flags to variable to Air_TempC_Min, add 1 flags to variable to Ws_mean_Resultant_300cm

Substep 180 
Description:

26-Jun-2019 10:31:09: inserted 884 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 181 
Description:

26-Jun-2019 10:31:09: sorted by column Date(ascending) ('sortdata')

Substep 182 
Description:

26-Jun-2019 10:31:10: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 183 
Description:

26-Jun-2019 10:31:11: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 184 
Description:

27-Jun-2019 12:48:34: 8 new rows where added using levelTwo.m

Substep 185 
Description:

27-Jun-2019 12:48:48: All rows from 1 (2013-11-05 03:00:00) to 48813 (2019-05-31 23:00:00) were disapproved

Substep 186 
Description:

27-Jun-2019 12:49:55: Value for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from '0.2000' to '0.3000'

Substep 187 
Description:

27-Jun-2019 12:50:01: Flag for column Ppt_mm_Tot, at row 44868 (2018-12-18 14:00:00) was changed from 'E' to '<No flag>'

Substep 188 
Description:

27-Jun-2019 12:50:47: Data approved from row 1 () to 48813 (2019-05-31 23:00:00)

Substep 189 
Description:

27-Jun-2019 22:23:30: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 190 
Description:

27-Jun-2019 22:23:30: deleted columns Flag_RECORD, Flag_Ptemp_C_Avg, Flag_Air_TempC_Avg, Flag_Air_TempC_Max, Flag_Air_TempC_Min, Flag_Relative_Humidity_Avg, Flag_Ppt_mm_Tot, Flag_Ws_Mean_300cm, Flag_Ws_mean_Resultant_300cm, Flag_WinDir_mean_Resultant, Flag_WinDir_Std_Dev, Flag_WS_ms_75cm_Avg, Flag_WS_ms_150cm_Avg, Flag_WS_ms_300cm_Avg, Flag_WS_ms_75cm_Max, Flag_WS_ms_150cm_Max and Flag_WS_ms_300cm_Max from the structure ('deletecols')

Substep 191 
Description:

27-Jun-2019 22:23:31: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 192 
Description:

27-Jun-2019 22:23:35: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Quality Control
Quality Control Step 1: 
Description:

Quality control analysis was performed using the GCE Data Toolbox for MATLAB software. Column data types are validated upon importing the table into MATLAB, and qualifier flags are automatically generated for data values based on QA/QC criteria for each data column pre-defined in metadata templates (e.g. value range checks, sanity checks, pattern checks). Automatically-assigned qualifier flags are reviewed graphically and revised or augmented as deemed appropriate by GCE information management staff, based on metadata information from the contributor, values of other measured variables, or statistical tests. Qualifier flags are also assigned to values that are imputed or derived, revised, or otherwise differ from values in the original data submission. A column of coded qualifier flags is generated and included in the data table if flags are assigned to any value in a data column.

Data anomalies: Values of 2 records in Air_TempC_Avg are missing for dates: 01/10/2016, 01/31/2018. Values of 2 records in Air_TempC_Max are missing for dates: 01/10/2016, 01/31/2018. Values of 2 records in Air_TempC_Min are missing for dates: 01/10/2016, 01/31/2018. The value of one record in Ws_mean_Resultant_300cm is missing for date 01/23/2017.

People and Organizations

Publishers:
Organization:Jornada LTER NPP site instrumentation on a wireless network (Study 437)
Creators:
Individual: John Anderson
Organization:JRN LTER
Position:Research Site Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU,
Las Cruces, NM 88003-8003
Email Address:
janderso@jornada-vmail.nmsu.edu
Contacts:
Individual: Data Manager
Position:JRN-LTER Information Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, New Mexico State University, Las Cruces, NM,
88003-8003
Email Address:
datamanager.jrn.lter@gmail.com

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2013-11-05
End:
2019-05-31
Geographic Region:
Description:lter-jrn-met-cc -- NPP C-CALI site. Precise geographic coordinates of the meteorological station are available upon request; please contact the Data Manager.
Bounding Coordinates:
Northern:  32.669000Southern:  32.488000
Western:  -106.865000Eastern:  -106.713000

Project

Parent Project Information:

Title:Jornada LTER NPP site instrumentation on a wireless network (Study 437)
Personnel:
Individual: John Anderson
Organization:JRN LTER
Position:Research Site Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU,
Las Cruces, NM 88003-8003
Email Address:
janderso@jornada-vmail.nmsu.edu
Role:project leader
Abstract:

Collection of baseline climate data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program. Measurements are aggregated at intervals of 5, 30, and 60 minutes and daily with precipitation additionally with 1 second aggregation during precipitation events. Data are downloaded hourly from each remote site via a 900 MHz spread spectrum wireless radio network. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Solar and barometric pressure are measured at a subset of sites.

Funding:

Funded by Jornada LTER program under NSF grant DEB-1832194

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unitList')
        |     |     |  \___attribute 'schemaLocation' in ns 'http://www.w3.org/2001/XMLSchema-instance' ('xsi:schemaLocation') = 'http://www.xml-cml.org/schema/stmml-1.1 http://gce-lter.marsci.uga.edu/public/files/schemas/eml-210/stmml.xsd'
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'degreeCelcius'
        |     |     |     |  \___attribute 'name' = 'degreeCelcius'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'user defined unit degreeCelcius'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = 'º'
        |     |     |     |  \___attribute 'id' = 'degrees'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0174532924'
        |     |     |     |  \___attribute 'name' = 'degrees'
        |     |     |     |  \___attribute 'parentSI' = 'radian'
        |     |     |     |  \___attribute 'unitType' = 'angle'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text '360 degrees comprise a unit circle.'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'none'
        |     |     |     |  \___attribute 'name' = 'none'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'user defined unit none'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = '%'
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'ratio of two quantities as percent composition (1:100)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

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