Datasets from "Auroral Energy Deposition and Conductance During the 2013 St. Patrick's Day Storm: Meso-Scale Contributions" by Gabrielse et al.
Bibliographic record
Abstract
1. README File for netCDF Data to be published alongside “Mesoscale Contributions to Auroral Energy Deposition and Conductance During the 2013 St. Patrick’s Day Storm” by Christine Gabrielse et al. in the Journal of Geophysical Research. The data to be stored on Zenodo (https://zenodo.org/) are in a netCDF format. This README applies to the following files: thg_ej_all-sky-imager_20130317050000_v01.nc thg_ej_all-sky-imager_20130317060000_v01.nc thg_ej_all-sky-imager_20130317070000_v01.nc thg_ej_all-sky-imager_20130317080000_v01.nc thg_ej_all-sky-imager_20130317090000_v01.nc thg_ej_all-sky-imager_20130317100000_v01.nc thg_ej_all-sky-imager_20130317110000_v01.nc thg_ej_all-sky-imager_20130317120000_v01.nc thg_ej_all-sky-imager_20130317130000_v01.nc The following are attributes published within the netCDF’s metadata: SUMMARY: FILENAME: thg_ej_all-sky-imager_20130317050000_v01.nc PROJECT: STP>Solar-Terrestrial Physics SOURCE_NAME: THG>THEMIS (Time History of Events and Macroscale Interactions during Substorms) Ground-Based DISCIPLINE: Space Physics>Ionospheric Science Space Physics>Magnetospheric Science DATA_TYPE: EJ>Earth Camera Images, processed DESCRIPTOR: All-Sky-Imager FILE_NAMING_CONVENTION: source_datatype_descriptor_yyyyMMddHHmmss DATA_VERSION: 01 PI_NAME: Christine Gabrielse PI_AFFILIATION: The Aerospace Corporation TEXT: Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS white light all-sky-imagers. See Gabrielse et al. (2021, Frontiers) and Gabrielse et al. (2024, JGR) for derivation methodology. INSTRUMENT_TYPE: Ground-Based Imagers MISSION_GROUP: Ground-Based Investigations LOGICAL_SOURCE: thg_ej_all-sky-imager LOGICAL_FILE_ID: thg_ej_all-sky-imager_00000000000000_v01 LOGICAL_SOURCE_DESCRIPTION: Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS white light all-sky-imagers. TIME_RESOLUTION: 3s RULES_OF_USE: Invitation to co-authorship for use of this data is required. It is best to reach out to Dr. Gabrielse early in the project for guidance. GENERATED_BY: Christine Gabrielse ACKNOWLEDGEMENT: The work effort for this project was gratefully funded by NASA grants 80NSSC20K0725, 80GSFC22CA011, NAS5-02099, 80NSSC21K1552, AFOSR Grant FA9559-16-1-0364 GLOBAL ATTRIBUTES: PROJECT: STP>Solar-Terrestrial Physics SOURCE_NAME: THG>THEMIS (Time History of Events and Macroscale Interactions during Substorms) Ground-Based DISCIPLINE: Space Physics>Ionospheric Science Space Physics>Magnetospheric Science DATA_TYPE: EJ>Earth Camera Images, processed DESCRIPTOR: All-Sky-Imager FILE_NAMING_CONVENTION: source_datatype_descriptor_yyyyMMddHHmmss DATA_VERSION: 01 PI_NAME: Christine Gabrielse PI_AFFILIATION: The Aerospace Corporation TEXT: Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS white light all-sky-imagers. See Gabrielse et al. (2021, Frontiers) and Gabrielse et al. (2024, JGR) for derivation methodology. INSTRUMENT_TYPE: Ground-Based Imagers MISSION_GROUP: Ground-Based Investigations LOGICAL_SOURCE: thg_ej_all-sky-imager LOGICAL_FILE_ID: thg_ej_all-sky-imager_00000000000000_v01 LOGICAL_SOURCE_DESCRIPTION: Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS white light all-sky-imagers. TIME_RESOLUTION: 3s RULES_OF_USE: Invitation to co-authorship for use of this data is required. It is best to reach out to Dr. Gabrielse early in the project for guidance. GENERATED_BY: Christine Gabrielse ACKNOWLEDGEMENT: The work effort for this project was gratefully funded by NASA grants 80NSSC20K0725, 80GSFC22CA011, NAS5-02099, 80NSSC21K1552, AFOSR Grant FA9559-16-1-0364 DIMENSIONS: EPOCH: 1200 LATITUDE: 400 LONGITUDE: 400 VARIABLES: EPOCH: CAT_DESC: Time in seconds since 1970-01-01 00:00:00 TIME_SCALE: UTC TIME_BASE: 1970 (POSIX) FIELDNAM: Time in seconds since 1970-01-01 00:00:00 FILLVAL: LONG = -2147483648 FORMAT: I10 UNITS: S VALIDMIN: LONG = 1363496400 VALIDMAX: LONG = 1363528800 VAR_TYPE: support_data LATITUDE: _FILLVALUE: FLOAT = NaN CAT_DESC: Geodetic latitude FIELDNAM: Latitude FORMAT: F4.1 FILLVAL: DOUBLE = -1.0000000e+31 UNITS: deg VALIDMIN: DOUBLE = 45.000000 VALIDMAX: DOUBLE = 84.900000 VAR_TYPE: support_data LONGITUDE: _FILLVALUE: FLOAT = NaN CAT_DESC: Geodetic longitude FIELDNAM: Longitude FORMAT: F5.1 FILLVAL: DOUBLE = -1.0000000e+31 UNITS: Deg VALIDMIN: DOUBLE = 180.00000 VALIDMAX: DOUBLE = 339.60000 VAR_TYPE: support_data CONDUCTANCE: _FILLVALUE: DOUBLE = NaN CAT_DESC: Hall conductance in a 2D grid organized by geographic latitude and longitude, units of mho DEPEND_0: Epoch DEPEND_1: Latitude DEPEND_2: Longitude DISPLAY_TYPE`: Image FIELDNAM: Hall conductance FILLVAL: DOUBLE = -1.0000000e+31 FORMAT: F8.6 LABLAXIS: Hall conductance UNITS: Mho VALIDMIN: DOUBLE = 0.00043800000 VALIDMAX: DOUBLE = 88.000000 VAR_TYPE: Data Energy flux: _FILLVALUE: FLOAT = NaN CAT_DESC: Precipitated energy flux in a 2D grid organized by geographic latitude and longitude, units of ergs/cm^2/s DEPEND_0: Epoch DEPEND_1: Latitude DEPEND_2: Longitude DISPLAY_TYPE`: Image FIELDNAM: Energy Flux (ergs/cm^2/s) FILLVAL: DOUBLE = -1.0000000e+31 FORMAT: F9.4 LABLAXIS: energy flux UNITS: ergs/cm^2/s VALIDMIN: DOUBLE = 0.010000000 VALIDMAX: DOUBLE = 1100.0000 VAR_TYPE: Data ENERGY: _FILLVALUE: FLOAT = NaN CAT_DESC: Mean energy of the precipitated population in a 2D grid organized by geographic latitude and longitude, units of keV DEPEND_0: Epoch DEPEND_1: Latitude DEPEND_2: Longitude DISPLAY_TYPE`: Image FIELDNAM: Energy (keV) FILLVAL: DOUBLE = -1.0000000e+31 FORMAT: F6.3 LABLAXIS: Energy UNITS: keV VALIDMIN: DOUBLE = 0.010000000 VALIDMAX: DOUBLE = 22.000000 VAR_TYPE: Data Examples of the data are as follows: EPOCH: data.epoch.data[0] = 1363496400 This data is presented as number of seconds since January 1, 1970 in UT. The example above converts to 2013-03-17/05:00 UT. There are 1200 time values stored in each file. LATITUDE: data.latitude.data[0] = 45.0000 This data is the geographic latitude in degrees of the 400x400 grid of data points. There are 400 latitude values stored in each file. LONGITUDE: data.LONGITUDE.data[0] = 180.000 This data is the geographic longitude in degrees of the 400x400 grid of data points. There are 400 longitude values stored in each file. CONDUCTANCE: data.conductance.data[0] = -1.0000000e+31 This data is the Hall conductance in mho measured at 45 deg latitude, 180 deg longitude. The value in this example indicates that no conductance was measured here. A valid value would be something in the range of 0.00043800000 to 88 mho. There are 1200x400x400 conductance values stored in each file. ENERGY FLUX: data.eflux.data[0] = -1.00000e+31 This data is the energy flux in ergs/cm^2/s measured at 45 deg latitude, 180 deg longitude. The value in this example indicates that no energy flux was measured here. A valid value would be something in the range of 0.01 to 1100.0000 ergs/cm^2/s. There are 1200x400x400 energy flux values stored in each file. ENERGY: data.energy.data[0] = -1.00000e+31 This data is the energy in keV measured at 45 deg latitude, 180 deg longitude. The value in this example indicates that no energy was measured here. A valid value would be something in the range of 0.01 to 22 keV. There are 1200x400x400 energy values stored in each file. 2. README for text file Data to be published alongside “Mesoscale Contributions to Auroral Energy Deposition and Conductance During the 2013 St. Patrick’s Day Storm” by Christine Gabrielse et al. in the Journal of Geophysical Research. This README applies to the following files: march172013_fortyukon_photometer_products.dat march172013_pokerflat_photometer_products.dat Header information in the files describe the contents. These are the photometer derived data taken on March 17, 2023. They include the time [UT], energy flux (Q) [ergs/cm^2/s], average energy (Eavg) [keV], and oxygen scale factor (fo).
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.
How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".