---
instrument_id: '443'
data_file_original_name: 'EPA2261A_HTDMA.csv'
skip_headers: '1'
charts: ''
headers:
    - 'Local_Time_PST'
    - 'Experimental_Time_min'
    - 'Growth_Factor_unitless'
dataset_id: '2804'
experiment_link: 'https://icarus.ucdavis.edu/chambers/539/experiments/254'
experiment_set_link: 'https://icarus.ucdavis.edu/chambers/539/experimentSets/189'
chamber_link: 'https://icarus.ucdavis.edu/chambers/539'
dataset_created_at: '2021-08-26 12:20:13'
dataset_updated_at: '2021-08-26 12:20:13'
instrument_link: 'https://icarus.ucdavis.edu/chambers/539/instruments/443'
instrument:
    id: '443'
    short_name: 'HTDMA'
    full_name: 'Hygroscopicity Tandem Differential Mobility Analyzer'
    manufacturer: 'Home-made'
    model: 'TSI3081, TSI3771'
    year: '2006'
    data_recording_software: 'Labview Program'
    data_analysis_software: 'Custom MATLAB script'
    raw_data_time_resolution: '1s'
    analysis_data_averaging: '180s to 600s'
    detection_limit: 'N/A'
    quantification_limit: ''
    sensitivity_to_temperature: 'N/A'
    sensitivity_to_relative_humidity: 'N/A'
    sampling_method: 'Direct gas sampling'
    sample_preparation_method: 'None'
    sample_residence_time_in_seconds: ''
    length_of_tubing_in_cm: ''
    flow_rate: 'Sheath 2.5 lpm; Main 0.25 lpm'
    tubing_material: 'Copper'
    chemical_identification_method: 'None'
    data_analysis_method: 'The HTDMA data that were recorded in scanning mode are analyzed using a custom MATLAB script. Particle size distribution, as a function of time are displayed. Hygroscopicity is indicated by the size difference of the selected particles after the 1st and 2nd DMA.'
    quantification_method: 'Signal strength is converted to partial number/size distribution by designed transfer functions. Concentration is not important for this instrument but the sizes selected by the two DMAs.'
    calibration_method: 'Atomizing Ammonium Sulfate Aerosol into the system with the particle growing device off and check the scanning size with the first DMA under different measuring modes.'
    calibration_drift_estimate: 'No estimate'
    calibration_schedule: 'Annually'
    uncertainty_estimation_method: 'Duplication of the same experimental conditions.'
    known_interferences: 'N/A'
    link_to_supplemental_information: 'N/A'
    additional_notes: ''
    organization_id: '547'
    created_at: '2020-06-09T00:37:45.000000Z'
    updated_at: '2020-06-09T00:37:45.000000Z'
    column_descriptors: "(b) Experimental_Time = relative time, t=0 is defined as the start of the reaction (dark) or light given time (BL/Arc); \r\n(c) Growth_Factor = Index for particle qualitative hygroscopicity (the ratio between the volume after particles getting through the growing chamber and before the entrance)."
    sampling_protocol: 'Online'
    skip_headers: '1'
    tubing_inner_diameter: '1/4'''' OD; 0.152'''' ID'
    what_is_measured: 'Particle Hygroscopicity'
    measurement_uncertainty: '(a) Local_Time (N/A); (b) Experimental_Time (N/A); (c) Growth_Factor (+/- ?%)'
    measurement_units: '(a) Local_Time (N/A); (b) Experimental_Time (min); (c) Growth_Factor (N/A)'

---
Local_Time_PST,Experimental_Time_min,Growth_Factor_unitless
10/10/2016 9:25:00 AM,8.00000000512227,0
10/10/2016 9:27:00 AM,10.0000000011642,1.012
10/10/2016 9:28:00 AM,11.0000000044238,0.909
10/10/2016 9:29:00 AM,12.0000000076834,0.909
10/10/2016 9:31:00 AM,14.0000000037253,0.914
10/10/2016 9:32:00 AM,15.0000000069849,0.639
10/10/2016 9:34:00 AM,17.0000000030268,0.928
10/10/2016 9:35:00 AM,18.0000000062864,0.935
10/10/2016 9:37:00 AM,20.0000000023283,0.934
10/10/2016 9:38:00 AM,21.0000000055879,0.942
10/10/2016 9:40:00 AM,23.0000000016298,0.946
10/10/2016 9:41:00 AM,24.0000000048894,0.818
10/10/2016 9:42:00 AM,25.0000000081491,0.947
10/10/2016 9:44:00 AM,27.000000004191,0.946
10/10/2016 9:45:00 AM,28.0000000074506,0.944
10/10/2016 9:47:00 AM,30.0000000034925,0.943
10/10/2016 9:48:00 AM,31.0000000067521,0.95
10/10/2016 9:50:00 AM,33.000000002794,0.951
10/10/2016 9:51:00 AM,34.0000000060536,0.952
10/10/2016 9:53:00 AM,36.0000000020955,0.959
10/10/2016 9:54:00 AM,37.0000000053551,0.957
10/10/2016 9:55:00 AM,38.0000000086147,0.957
10/10/2016 9:57:00 AM,40.0000000046566,0.958
10/10/2016 9:58:00 AM,41.0000000079162,0.941
10/10/2016 10:00:00 AM,43.0000000039581,0.956
10/10/2016 10:01:00 AM,44.0000000072177,0.954
10/10/2016 10:03:00 AM,46.0000000032596,0.954
10/10/2016 10:04:00 AM,47.0000000065193,0.953
10/10/2016 10:06:00 AM,49.0000000025611,0.956
10/10/2016 10:07:00 AM,50.0000000058208,0.955
10/10/2016 10:08:00 AM,51.0000000090804,0.958
10/10/2016 10:10:00 AM,53.0000000051223,0.953
10/10/2016 10:11:00 AM,54.0000000083819,0.961
10/10/2016 10:13:00 AM,56.0000000044238,0.953
10/10/2016 10:14:00 AM,57.0000000076834,0.958
10/10/2016 10:16:00 AM,59.0000000037253,0.959
10/10/2016 10:17:00 AM,60.0000000069849,0.956
10/10/2016 10:19:00 AM,62.0000000030268,0.962
10/10/2016 10:20:00 AM,63.0000000062864,0.965
10/10/2016 10:21:00 AM,64.0000000095461,0.963
10/10/2016 10:23:00 AM,66.0000000055879,0.961
10/10/2016 10:24:00 AM,67.0000000088476,0.964
10/10/2016 10:26:00 AM,69.0000000048894,0.963
10/10/2016 10:27:00 AM,70.0000000081491,0.96
10/10/2016 10:29:00 AM,72.000000004191,0.964
10/10/2016 10:30:00 AM,73.0000000074506,0.965
10/10/2016 10:32:00 AM,75.0000000034925,0.966
10/10/2016 10:33:00 AM,76.0000000067521,0.967
10/10/2016 10:34:00 AM,76.9999999995343,0.967
10/10/2016 10:36:00 AM,79.0000000060536,0.967
10/10/2016 10:37:00 AM,80.0000000093132,0.966
10/10/2016 10:39:00 AM,82.0000000053551,0.969
10/10/2016 10:40:00 AM,83.0000000086147,0.969
10/10/2016 10:42:00 AM,85.0000000046566,0.97
10/10/2016 10:43:00 AM,86.0000000079162,0.973
10/10/2016 10:45:00 AM,88.0000000039581,0.967
10/10/2016 10:46:00 AM,89.0000000072177,0.967
10/10/2016 10:47:00 AM,90,0.971
10/10/2016 10:49:00 AM,92.0000000065193,0.967
10/10/2016 10:50:00 AM,92.9999999993015,0.964
10/10/2016 10:52:00 AM,95.0000000058208,0.97
10/10/2016 10:53:00 AM,96.0000000090804,0.97
10/10/2016 10:55:00 AM,98.0000000051223,0.971
10/10/2016 10:56:00 AM,99.0000000083819,0.975
10/10/2016 10:58:00 AM,101.000000004424,0.975
10/10/2016 10:59:00 AM,102.000000007683,0.974
10/10/2016 11:00:00 AM,103.000000000466,0.977
10/10/2016 11:02:00 AM,105.000000006985,0.978
10/10/2016 11:03:00 AM,105.999999999767,0.977
10/10/2016 11:05:00 AM,108.000000006286,0.979
10/10/2016 11:06:00 AM,109.000000009546,0.976
10/10/2016 11:08:00 AM,111.000000005588,0.975
10/10/2016 11:09:00 AM,112.000000008848,0.976
10/10/2016 11:11:00 AM,114.000000004889,0.978
10/10/2016 11:12:00 AM,115.000000008149,0.976
10/10/2016 11:13:00 AM,116.000000000931,0.974
10/10/2016 11:15:00 AM,118.000000007451,0.976
10/10/2016 11:16:00 AM,119.000000000233,0.983
10/10/2016 11:18:00 AM,121.000000006752,0.977
10/10/2016 11:19:00 AM,121.999999999534,0.983
10/10/2016 11:21:00 AM,124.000000006054,0.977
10/10/2016 11:22:00 AM,125.000000009313,0.981
10/10/2016 11:24:00 AM,127.000000005355,0.979
10/10/2016 11:25:00 AM,128.000000008615,0.981
10/10/2016 11:26:00 AM,129.000000001397,0.979
10/10/2016 11:28:00 AM,131.000000007916,0.979
10/10/2016 11:29:00 AM,132.000000000698,0.982
10/10/2016 11:31:00 AM,134.000000007218,0.981
10/10/2016 11:32:00 AM,135,0.982
10/10/2016 11:34:00 AM,137.000000006519,0.981
10/10/2016 11:35:00 AM,137.999999999302,0.982
10/10/2016 11:36:00 AM,139.000000002561,0.983
10/10/2016 11:38:00 AM,141.00000000908,0.981
10/10/2016 11:39:00 AM,142.000000001863,0.988
10/10/2016 11:41:00 AM,144.000000008382,0.986
10/10/2016 11:42:00 AM,145.000000001164,0.984
10/10/2016 11:44:00 AM,147.000000007683,0.984
10/10/2016 11:45:00 AM,148.000000000466,0.983
10/10/2016 11:47:00 AM,150.000000006985,0.98
10/10/2016 11:48:00 AM,150.999999999767,0.982
10/10/2016 11:49:00 AM,152.000000003027,0.981
10/10/2016 11:51:00 AM,154.000000009546,0.983
10/10/2016 11:52:00 AM,155.000000002328,0.984
10/10/2016 11:54:00 AM,157.000000008848,0.984
10/10/2016 11:55:00 AM,158.00000000163,0.984
10/10/2016 11:57:00 AM,160.000000008149,0.986
10/10/2016 11:58:00 AM,161.000000000931,0.984
10/10/2016 12:00:00 PM,162.999999996973,0.984
10/10/2016 12:01:00 PM,164.000000000233,0.984
10/10/2016 12:02:00 PM,165.000000003492,0.983
10/10/2016 12:04:00 PM,166.999999999534,0.986
10/10/2016 12:05:00 PM,168.000000002794,0.986
10/10/2016 12:07:00 PM,170.000000009313,0.984
10/10/2016 12:08:00 PM,171.000000002095,0.985
10/10/2016 12:10:00 PM,173.000000008615,0.988
10/10/2016 12:11:00 PM,174.000000001397,0.985
10/10/2016 12:13:00 PM,176.000000007916,0.986
10/10/2016 12:14:00 PM,177.000000000698,0.984
10/10/2016 12:15:00 PM,178.000000003958,0.984
10/10/2016 12:17:00 PM,180,0.985
10/10/2016 12:18:00 PM,181.00000000326,0.986
10/10/2016 12:20:00 PM,182.999999999302,0.987
10/10/2016 12:21:00 PM,184.000000002561,0.987
10/10/2016 12:23:00 PM,186.00000000908,0.988
10/10/2016 12:24:00 PM,187.000000001863,0.987
10/10/2016 12:26:00 PM,189.000000008382,0.986
10/10/2016 12:27:00 PM,190.000000001164,0.991
10/10/2016 12:28:00 PM,191.000000004424,0.986
10/10/2016 12:30:00 PM,193.000000000466,0.989
10/10/2016 12:31:00 PM,194.000000003725,0.987
10/10/2016 12:33:00 PM,195.999999999767,0.988
10/10/2016 12:34:00 PM,197.000000003027,0.987
10/10/2016 12:36:00 PM,199.000000009546,0.984
10/10/2016 12:37:00 PM,200.000000002328,0.987
10/10/2016 12:39:00 PM,202.000000008848,0.986
10/10/2016 12:40:00 PM,203.00000000163,0.99
10/10/2016 12:41:00 PM,204.000000004889,0.986
10/10/2016 12:43:00 PM,206.000000000931,0.989
10/10/2016 12:44:00 PM,207.000000004191,0.992
10/10/2016 12:46:00 PM,209.000000000233,0.988
10/10/2016 12:47:00 PM,210.000000003492,0.989
10/10/2016 12:49:00 PM,211.999999999534,0.993
10/10/2016 12:50:00 PM,213.000000002794,0.993
10/10/2016 12:52:00 PM,215.000000009313,0.991
10/10/2016 12:53:00 PM,216.000000002095,0.987
10/10/2016 12:54:00 PM,217.000000005355,0.989
10/10/2016 12:56:00 PM,219.000000001397,0.989
10/10/2016 12:57:00 PM,220.000000004657,0.993
10/10/2016 12:59:00 PM,222.000000000698,0.988
10/10/2016 1:00:00 PM,223.000000003958,0.992
10/10/2016 1:02:00 PM,225,0.99
10/10/2016 1:03:00 PM,226.00000000326,0.99
10/10/2016 1:05:00 PM,227.999999999302,0.99
10/10/2016 1:06:00 PM,229.000000002561,0.995
10/10/2016 1:07:00 PM,230.000000005821,0.989
10/10/2016 1:09:00 PM,232.000000001863,0.994
10/10/2016 1:10:00 PM,233.000000005122,0.985
10/10/2016 1:12:00 PM,235.000000001164,0.991
10/10/2016 1:13:00 PM,236.000000004424,0.994
10/10/2016 1:15:00 PM,238.000000000466,0.991
10/10/2016 1:16:00 PM,239.000000003725,0.984
10/10/2016 1:18:00 PM,240.999999999767,0.988
10/10/2016 1:19:00 PM,242.000000003027,0.989
10/10/2016 1:20:00 PM,243.000000006286,0.994
10/10/2016 1:22:00 PM,245.000000002328,0.985
10/10/2016 1:23:00 PM,246.000000005588,0.991
10/10/2016 1:25:00 PM,248.00000000163,0.99
10/10/2016 1:26:00 PM,249.000000004889,0.911
10/10/2016 1:28:00 PM,251.000000000931,0.987
10/10/2016 1:29:00 PM,252.000000004191,0.989
10/10/2016 1:31:00 PM,254.000000000233,0.986
10/10/2016 1:32:00 PM,255.000000003492,0.99
10/10/2016 1:33:00 PM,256.000000006752,0.986
10/10/2016 1:35:00 PM,258.000000002794,0.988
10/10/2016 1:36:00 PM,259.000000006054,0.989
10/10/2016 1:38:00 PM,261.000000002095,0.993
10/10/2016 1:39:00 PM,262.000000005355,0.991
10/10/2016 1:41:00 PM,264.000000001397,0.989
10/10/2016 1:42:00 PM,265.000000004657,0.991
10/10/2016 1:44:00 PM,267.000000000698,1
10/10/2016 1:45:00 PM,268.000000003958,0.998
10/10/2016 1:46:00 PM,269.000000007218,0.998
10/10/2016 1:48:00 PM,271.00000000326,0.995
10/10/2016 1:49:00 PM,272.000000006519,0.993
10/10/2016 1:51:00 PM,274.000000002561,0.994
10/10/2016 1:52:00 PM,275.000000005821,0.912
10/10/2016 1:54:00 PM,277.000000001863,0.993
10/10/2016 1:55:00 PM,278.000000005122,0.993
10/10/2016 1:57:00 PM,280.000000001164,0.997
10/10/2016 1:58:00 PM,281.000000004424,0.994
10/10/2016 1:59:00 PM,282.000000007683,0.991
10/10/2016 2:01:00 PM,284.000000003725,0.992
10/10/2016 2:02:00 PM,285.000000006985,0.995
10/10/2016 2:04:00 PM,287.000000003027,0.994
10/10/2016 2:05:00 PM,288.000000006286,0.995
10/10/2016 2:07:00 PM,290.000000002328,0.994
10/10/2016 2:08:00 PM,291.000000005588,0.993
10/10/2016 2:10:00 PM,293.00000000163,0.993
10/10/2016 2:11:00 PM,294.000000004889,0.995
10/10/2016 2:12:00 PM,295.000000008149,0.993
10/10/2016 2:14:00 PM,297.000000004191,0.993
10/10/2016 2:15:00 PM,298.000000007451,0.996
10/10/2016 2:17:00 PM,300.000000003492,0.995
10/10/2016 2:18:00 PM,301.000000006752,0.99
10/10/2016 2:20:00 PM,303.000000002794,0.998
10/10/2016 2:21:00 PM,304.000000006054,0.991
10/10/2016 2:23:00 PM,306.000000002095,0.992
10/10/2016 2:24:00 PM,306.999999994878,0.993
10/10/2016 2:25:00 PM,308.000000008615,0.993
10/10/2016 2:27:00 PM,310.000000004657,0.994
10/10/2016 2:28:00 PM,311.000000007916,0.993
10/10/2016 2:30:00 PM,313.000000003958,0.998
10/10/2016 2:31:00 PM,314.000000007218,0.997
10/10/2016 2:33:00 PM,316.00000000326,0.993
10/10/2016 2:34:00 PM,317.000000006519,0.993
10/10/2016 2:36:00 PM,319.000000002561,0.997
10/10/2016 2:37:00 PM,320.000000005821,0.998
10/10/2016 2:38:00 PM,321.00000000908,0.995
10/10/2016 2:40:00 PM,323.000000005122,0.992
10/10/2016 2:41:00 PM,324.000000008382,0.996
10/10/2016 2:43:00 PM,326.000000004424,0.998
10/10/2016 2:44:00 PM,327.000000007683,0.998
10/10/2016 2:46:00 PM,329.000000003725,0.999
10/10/2016 2:47:00 PM,330.000000006985,0.995
10/10/2016 2:49:00 PM,332.000000003027,0.997
10/10/2016 2:50:00 PM,333.000000006286,0.995
10/10/2016 2:51:00 PM,334.000000009546,0.997
10/10/2016 2:53:00 PM,336.000000005588,0.993
10/10/2016 2:54:00 PM,337.000000008848,0.999
10/10/2016 2:56:00 PM,339.000000004889,0.997
10/10/2016 2:57:00 PM,340.000000008149,1.001
10/10/2016 2:59:00 PM,342.000000004191,0.998
10/10/2016 3:00:00 PM,343.000000007451,0.997
10/10/2016 3:02:00 PM,345.000000003492,0.995
10/10/2016 3:03:00 PM,346.000000006752,0.997
10/10/2016 3:04:00 PM,346.999999999534,0.995
10/10/2016 3:06:00 PM,349.000000006054,0.997
10/10/2016 3:07:00 PM,350.000000009313,1
10/10/2016 3:09:00 PM,352.000000005355,0.997
10/10/2016 3:10:00 PM,353.000000008615,0.855
10/10/2016 3:12:00 PM,355.000000004657,0.979
10/10/2016 3:13:00 PM,356.000000007916,0.98
10/10/2016 3:15:00 PM,358.000000003958,0.978
10/10/2016 3:16:00 PM,359.000000007218,0.98
10/10/2016 3:17:00 PM,360,0.981
10/10/2016 3:19:00 PM,362.000000006519,0.981
10/10/2016 3:20:00 PM,362.999999999302,0.981
10/10/2016 3:22:00 PM,365.000000005821,0.998
10/10/2016 3:23:00 PM,366.00000000908,1.001
10/10/2016 3:25:00 PM,368.000000005122,0.979
10/10/2016 3:26:00 PM,369.000000008382,0.986
10/10/2016 3:28:00 PM,371.000000004424,1.166
10/10/2016 3:29:00 PM,372.000000007683,1
10/10/2016 3:30:00 PM,373.000000000466,1.002
10/10/2016 3:32:00 PM,375.000000006985,0.999
10/10/2016 3:33:00 PM,375.999999999767,0.995
10/10/2016 3:35:00 PM,378.000000006286,0.998
10/10/2016 3:36:00 PM,378.999999999069,0.858
10/10/2016 3:38:00 PM,381.000000005588,0.985
10/10/2016 3:39:00 PM,382.000000008848,0.983
10/10/2016 3:41:00 PM,384.000000004889,0.983
10/10/2016 3:42:00 PM,385.000000008149,1.002
10/10/2016 3:43:00 PM,386.000000000931,0.988
10/10/2016 3:45:00 PM,388.000000007451,0.861
10/10/2016 3:46:00 PM,389.000000000233,0.982
10/10/2016 3:48:00 PM,391.000000006752,0.981
10/10/2016 3:49:00 PM,391.999999999534,0.984
10/10/2016 3:51:00 PM,394.000000006054,0.98
10/10/2016 3:52:00 PM,395.000000009313,0.984
10/10/2016 3:54:00 PM,397.000000005355,1.12
10/10/2016 3:55:00 PM,398.000000008615,0.986
10/10/2016 3:56:00 PM,399.000000001397,0.988
10/10/2016 3:58:00 PM,401.000000007916,1.002
10/10/2016 3:59:00 PM,402.000000000698,0.955
10/10/2016 4:01:00 PM,404.000000007218,0.982
10/10/2016 4:02:00 PM,405,0.99
10/10/2016 4:04:00 PM,407.000000006519,1
10/10/2016 4:05:00 PM,407.999999999302,1
10/10/2016 4:07:00 PM,410.000000005821,0.992
10/10/2016 4:08:00 PM,411.00000000908,1.001
10/10/2016 4:09:00 PM,412.000000001863,0.991
10/10/2016 4:11:00 PM,414.000000008382,0.989
10/10/2016 4:12:00 PM,415.000000001164,0.989
10/10/2016 4:14:00 PM,417.000000007683,1.003
10/10/2016 4:15:00 PM,418.000000000466,0.986
10/10/2016 4:17:00 PM,420.000000006985,0.992
10/10/2016 4:18:00 PM,420.999999999767,0.994
10/10/2016 4:20:00 PM,423.000000006286,0.987
10/10/2016 4:21:00 PM,424.000000009546,0.993
10/10/2016 4:22:00 PM,425.000000002328,1.008
10/10/2016 4:24:00 PM,427.000000008848,0.993
