Gas and particle data from Fairbanks during the winter of 2019/2020
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Gas and particle data from Fairbanks during the winter of 2019/2020. \n \nPLATFORM: Relocatable Air Monitoring System (RAMS) trailer \nLOCATION: Fairbanks, but varies, see columns in this file \nAUTHORS: Meeta Cesler-Maloney and William Simpson \n University of Alaska Fairbanks Chemistry and Geophysical Institute \n 1930 Yukon Drive, UAF, Fairbanks, AK 99775 \n email: mvceslermaloney@alaska.edu or wrsimpson@alaska.edu \n phone: +1 907 474 2436 or +1 907 474 7235 \n \nWe welcome collaborations and are excited about working with others to make discoveries regarding the Fairbanks pollution. If the data are downloaded for the purpose of scientific publication, the UAF group should be informed of the possible use of the data so we can work with the group that is analyzing the data. If the work leads to publishable findings, UAF will work with the collaborating scientists to determine if co-authorship or acknowledgement is appropriate. \n \nAll date and time stamps are in UTC and are the starting time an averaging bin (e.g. for an hourly resolution dataset, the data line labeled 18:00:00 UTC contains all data from 18:00:00 to 18:59:59 UTC). The data are filled with "not a number" (= nan) data codes for missing data. \n \nAll data from the Alaska Department of Environmental Conservation (ADEC) from the NCORE and A Street regulatory monitors was provided at 5-minute time resolution. At 1-hour and 3-hour time resolution, wind data from these sites was vector averaged, so the column names were changed in the 1-hour and 3-hour files to reflect this fact. \n \nNote that the file lengths, checksums, and number of lines for this release are at the end of this file. \n--------------------------------------------------------------------------------- \n \nColumn definitions for RAMS-trailer data files \nFiles are “FNSB-aq-winter-2019-2020-RES-vN.txt” where "RES" is the time resolution (i.e minute, 5minute, hour, 3hour) and N is the release version. \n \n— Date index — \n \ndatetime_UTC - date and time in UTC time zone, YYYY-mm-dd HH:MM:SS format \n \n— RAMS-trailer, multiple locations — \n \n‘RAMS_lat’ - Latitude of RAMS-trailer location \n‘RAMS_lon’ - Longitude of RAMS-trailer location \n‘RAMS_sitename’ - Name of the RAMS-trailer location \n‘RAMS_sitenumber’ - ADEC data code for RAMS-trailer location \n‘RAMS_Temp_L1_C’ - RAMS-trailer tower 3m temperature in Celsius \n‘RAMS_Temp_L2_C’ - RAMS-trailer tower 6m temperature in Celsius \n‘RAMS_Temp_L3_C’ - RAMS-trailer tower 9m temperature in Celsius \n‘RAMS_Temp_L4_C’ - RAMS-trailer tower 11m temperature in Celsius \n‘RAMS_WS_10m_vector_avg_mps’ - RAMS-trailer tower 10m wind speed in meters per second \n‘RAMS_WDir_10m_vector_avg_deg’ - RAMS-trailer tower 10m wind direction in degrees \n‘RAMS_pm25_L1_corr_ugm3’ - RAMS-trailer tower 3m PM2.5 (PurpleAir) in microgram m-3 \n‘RAMS_pm25_L2_corr_ugm3’ - RAMS-trailer tower 6m PM2.5 (PurpleAir) in microgram m-3 \n‘RAMS_pm25_L3_corr_ugm3’ - RAMS-trailer tower 9m PM2.5 (PurpleAir) in microgram m-3 \n‘RAMS_pm25_L4_corr_ugm3’ - RAMS-trailer tower 11m PM2.5 (PurpleAir) in microgram m-3 \n‘RAMS_pm25_twr_avg_corr_ugm3’ - RAMS-trailer tower average (3m, 6m, 9m and 11m) PM2.5 (PurpleAir) in microgram m-3 \n‘RAMS_tower_up_flag’ - If the tower was raised to 11m this flag is set to 1.0, if the tower was lowered this flag was set to 0.0 and only 3m temperature and PM2.5 data is available \n‘RAMS_CO_corr_ppm’ - RAMS-trailer 3m CO in ppm, corrected using calibration data \n‘RAMS_SO2_corr_ppb’ - RAMS-trailer 3m SO2 in ppb, corrected using calibration data \n‘RAMS_CO2_raw_ppm’ - RAMS-trailer 3m CO2 in ppm, raw with no corrections \n \n— CTC building data, downtown Fairbanks — \n \n‘CTC_O3_ppb’ - CTC building 20m O3 in ppb, corrected using calibration data \n‘CTC_ground_pm25_corr_ugm3’ - CTC building 3m PM2.5, corrected using calibration data \n‘CTC_roof_pm25_corr_ugm3’ - CTC building 20m PM2.5, corrected using calibration data \n \n— NCORE data, from the ADEC regulatory monitor site in downtown Fairbanks, all NCORE data is preliminary — \n \n‘NCORE_CO_ppm’ - NCORE 3m CO in ppm \n‘NCORE_O3_ppb’ - NCORE 3m O3 in ppb \n‘NCORE_pm25_ugm3’ - NCORE 3m PM2.5 in microgram m-3 \n‘NCORE_SO2_ppb’ - NCORE 3m SO2 in ppb \n‘NCORE_Temp_2m_C’ - NCORE 2m temperature in Celsius \n‘NCORE_Temp_10m_C’ - NCORE 10m temperature in Celsius \n‘NCORE_WDir_3m_deg’ - NCORE 3m wind direction in degrees (min and 5min)\t//\t‘NCORE_WDir_3m_vector_avg_deg' - NCORE 3m wind direction vector average in degrees (hr and 3hr) \n‘NCORE_WS_3m_mps’ - NCORE 3m wind speed in meters per second (min and 5min)\t//\t‘NCORE_WS_3m_vector_avg_mps' - NCORE 3m wind speed vector average in meters per second (hr and 3hr) \n‘NCORE_WDir_10m_deg’ - NCORE 10m wind direction in degrees (min and 5min)\t//\t‘NCORE_WDir_10m_vector_avg_deg' - NCORE 10m wind direction vector average in degrees (hr and 3hr) \n‘NCORE_WS_10m_mps’ - NCORE 10m wind speed in meters per second (min and 5min)\t//\t‘NCORE_WS_10m_vector_avg_mps' - NCORE 10m wind speed vector average in meters per second (hr and 3hr) \n \n— A Street data, from the ADEC regulatory monitor site in residential East Fairbanks, all AST data is preliminary — \n \n‘AST_pm25_ugm3’ - A Street 3m PM2.5 in microgram m-3 \n‘AST_Temp_10m_C’ - A Street 2m temperature in Celsius \n‘AST_WDir_10m_deg’ - A Street 10m wind direction in degrees (min and 5min)\t\t//\t‘AST_WDir_10m_vector_avg_deg’ - A Street 10m wind vector average direction in degrees (hr and 3hr) \n‘AST_WS_10m_mps’ - A Street10m wind speed in meters per second (min and 5min)\t//\t‘AST_WS_10m_vector_avg_mps' - A Street 10m wind speed vector average in meters per second (hr and 3hr) \n \n-- distribution v1 checksums -- \nThe v1 distribution (released 11 Aug 2020) has the following sizes and checksums: \n \nChecksums (sha algorithm) \n \n$ shasum FNSB-aq-winter-2019-2020-* \ncae6aa8ef78db5260a61ac185fc50f0e9782112e FNSB-aq-winter-2019-2020-3hour-v1.txt \n29f6cc60c9bb064cf346a1609c7033408d28ff69 FNSB-aq-winter-2019-2020-5minute-v1.txt \n1bcd650a94021d46a805bc9dd8cb0657d97cd26a FNSB-aq-winter-2019-2020-hour-v1.txt \nbe02077d81988d03aba9389d64b4792084c35ebc FNSB-aq-winter-2019-2020-minute-v1.txt \n \nHuman-readable file lengths: \n \n$ ls -lh FNSB-aq-winter-*.txt \n-rw-r--r--@ 1 wrs staff 364K Aug 11 13:02 FNSB-aq-winter-2019-2020-3hour-v1.txt \n-rw-r--r--@ 1 wrs staff 13M Aug 11 13:03 FNSB-aq-winter-2019-2020-5minute-v1.txt \n-rw-r--r--@ 1 wrs staff 1.1M Aug 11 13:02 FNSB-aq-winter-2019-2020-hour-v1.txt \n-rw-r--r--@ 1 wrs staff 57M Aug 11 13:06 FNSB-aq-winter-2019-2020-minute-v1.txt \n \nNumber of lines in file (note first line is a header, so data lines are one fewer than this number \n \n$ wc -l FNSB-aq-winter-*.txt \n 1353 FNSB-aq-winter-2019-2020-3hour-v1.txt \n 48673 FNSB-aq-winter-2019-2020-5minute-v1.txt \n 4057 FNSB-aq-winter-2019-2020-hour-v1.txt \n 242978 FNSB-aq-winter-2019-2020-minute-v1.txt
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it