Data

2025	05- 28	05- 29	05- 30	05- 31	06- 01	06- 02	06- 03	06- 04	06- 05	06- 06	06- 07	06- 08	06- 09	06- 10	06- 11	06- 12	06- 13	06- 14	06- 15	06- 16	06- 17	06- 18	06- 19	06- 20	06- 21	06- 22	06- 23	06- 24	06- 25	06- 26
BA_arable	48	48
BA_cam	10	5
BA_flux	48	24
BA_met	48	23
BA_processed
BA_processed3
BC_arable	48	48
BC_cam
BC_flux	48	22
BC_met	48	21
BC_pa
BC_processed
BC_processed3
CK_amp
CK_met
EE_cam	1
EE_flux
EE_met
EE_minidot
EE_processed
EE_processed3
EL_met
GT_adcp
GT_adcpsnr
GT_adcpvel
GT_arable	48	48
GT_cam
GT_chanexo
GT_flux
GT_mdchan
GT_met	18
GT_minidot
GT_nwisji
GT_processed
GT_processed3
HS_cam
HS_flux
HS_met
HS_minidot
HS_nwisfmb
HS_processed
HS_processed3
MB_cam	12	8
MB_flux	48	27
MB_minidot	48	28
MB_processed
MB_processed3
MB_tule	48	26
RR_annex
RR_cam
RR_flux
RR_met
RR_nerrs
RR_processed
RR_processed3
TZ_amp
TZ_boletemps	25
TZ_co2prof	29
TZ_fdopen	28
TZ_fdtree1	28
TZ_fflux	27
TZ_fmet	29
TZ_fprocessed
TZ_fprocessed3
TZ_irt	58
TZ_osusp1	29
TZ_osusp2	29
TZ_osusp3	7
TZ_phenocam
TZ_ptdendro
TZ_rwell	30
TZ_sm	29
TZ_soilvue	29
TZ_tflux	25
TZ_tmet	29
TZ_tomst
TZ_tprocessed
TZ_tprocessed3
TZ_well	26
TZ_zcam
VR_arable	48	48
VR_fdnorth
VR_fdwest
VR_flux	31
VR_met	30
VR_phenocam
VR_pond	31
VR_processed
VR_processed3
VR_soilvue	30
WP_processed
WP_processed3

Field notes:
BA: 2025-05-29
BC: 2025-05-29
EE: 2025-05-28
EL:
GT: 2025-05-28
HS:
MB: 2025-05-29
RR:
TZ: 2025-05-28
VR: 2025-05-28
WP:
SELECT DATE(f_time) AS id, COUNT(f_MD_Temp OR f_MD_DO OR f_MD_Q) AS cnt FROM EE_met_Data WHERE f_time>='2025-05-28' AND f_time<'2025-06-26 23:59:59' GROUP BY DAYOFYEAR(f_time)