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: | |
| 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, 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 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 | Size: | 9264973 byte | Authentication: | 6cc7a90e5b2ab7ce44d7b3b1500bb38d
Calculated By MD5 | 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 observation | Calendar year | Numerical year day (day number within the current year) | Time of day in fractional hours | Record number generated by datalogger program | QA/QC flags for Record number generated by datalogger program (flagging criteria, where "x" is
RECORD: x<0="I", manual) | Site identifier | Datalogger Panel Temperature: 1 hour Average | QA/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 Average | QA/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 Maximum | QA/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 Minimum | QA/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 Average | QA/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 Total | QA/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 height | QA/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 height | QA/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 height | QA/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 height | QA/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 height | QA/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 height | QA/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 height | QA/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 height | QA/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 height | QA/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 height | QA/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) | Storage Type: | string
| integer
| integer
| float
| integer
| string
| integer
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| integer
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| floating-point
| string
| Measurement Type: | dateTime | interval | interval | interval | ratio | nominal | ordinal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | ratio | nominal | Measurement Values Domain: | Format | YYYY-MM-DD hh:mm:ss | Precision | |
| Unit | nominalYear | Precision | 1 | Type | real |
| Unit | nominalYear | Precision | 1 | Type | real | Min | 1 | Max | 366 |
| Unit | hour | Precision | 0.0001 | Type | real | Min | 0 | Max | 24 |
| Unit | none | Precision | 1 | Type | real | Min | 0 | Max | |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | 100 | Definition | C-GRAV site | Source | |
| Code Definition | Code | 200 | Definition | C-SAND site | Source | |
| Code Definition | Code | 300 | Definition | C-CALI site | Source | |
| Code Definition | Code | 400 | Definition | G-SUMM site | Source | |
| Code Definition | Code | 500 | Definition | G-BASN site | Source | |
| Code Definition | Code | 600 | Definition | G-IBPE site | Source | |
| Code Definition | Code | 700 | Definition | P-SMAL site | Source | |
| Code Definition | Code | 800 | Definition | P-COLL site | Source | |
| Code Definition | Code | 900 | Definition | P-TOBO site | Source | |
| Code Definition | Code | 1000 | Definition | T-TAYL site | Source | |
| Code Definition | Code | 1100 | Definition | T-EAST site | Source | |
| Code Definition | Code | 1200 | Definition | T-WEST site | Source | |
| Code Definition | Code | 1300 | Definition | M-NORT site | Source | |
| Code Definition | Code | 1400 | Definition | M-RABB site | Source | |
| Code Definition | Code | 1500 | Definition | M-WELL site | Source | |
|
|
| Unit | degreeCelcius | Precision | 0.01 | Type | real | Min | -35 | Max | |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | degreeCelcius | Precision | 0.01 | Type | real | Min | -35 | Max | 50 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | degreeCelcius | Precision | 0.01 | Type | real | Min | -35 | Max | 50 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | degreeCelcius | Precision | 0.01 | Type | real | Min | -35 | Max | 50 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | percent | Precision | 0.01 | Type | real | Min | 0 | Max | 105 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | millimeter | Precision | 0.1 | Type | real | Min | 0 | Max | 177.8 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | degrees | Precision | 1 | Type | real | Min | 0 | Max | 360 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | I | Definition | invalid value (out of range) | Source | |
| Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | degrees | Precision | 0.001 | Type | real | Min | 0 | Max | 360 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | I | Definition | invalid value (out of range) | Source | |
| Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | I | Definition | invalid value (out of range) | Source | |
| Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | I | Definition | invalid value (out of range) | Source | |
| Code Definition | Code | M | Definition | Missing value | Source | |
| Code Definition | Code | Q | Definition | questionable value | Source | |
|
|
| Unit | metersPerSecond | Precision | 0.001 | Type | real | Min | 0 | Max | 55 |
| Allowed Values and DefinitionsEnumerated Domain | | Code Definition | Code | M | Definition | Missing value | Source | |
|
|
| Missing Value Code: | | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Code | NaN | Expl | value not recorded or censored based on quality control analysis (see methods) |
| | Accuracy Report: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Assessment: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Coverage: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Methods: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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