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opencc-by-4.0Apr 2022View details →

April 2019 Darshan counters from the Cori supercomputer

Copyright (c) 2022, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.   GENERAL INFORMATION   1. Title of Dataset: April 2019 Darshan counters from the Cori supercomputer   2. Author Information:       A. Principal Investigator Contact Information         - Name: Suren Byna         - Institution: Lawrence Berkeley National Laboratory         - Address: 1 Cyclotron Rd, Berkeley, CA 94720         - Email: sbyna@lbl.gov       B. Associate or Co-investigator Contact         - Name: Jean Luca Bez         - Institution: Lawrence Berkeley National Laboratory         - Address: 1 Cyclotron Rd, Berkeley, CA 94720         - Email: jlbez@lbl.gov   3. Date of data collection: 2019-04-01   4. Geographic location of data collection: Berkeley, California, USA   5. Information about funding sources that supported the collection of the data:       This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231.   SHARING/ACCESS INFORMATION   1. Licenses/restrictions placed on the data:       - Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (<a href="https://creativecommons.org/licenses/by-nc-nd/4.0">CC BY-NC-ND 4.0</a>)   2. Links to publications that cite or use the data:  N/A   3. Links to other publicly accessible locations of the data: N/A   4. Links/relationships to ancillary data sets: N/A   5. Was data derived from another source? YES       This dataset is derived from raw Darshan logs collected in Cori during April 2020.   6. Recommended citation for this dataset:       Jean Luca Bez, Ahmad Maroof Karimi, Arnab K. Paul, Bing Xie, Suren Byna, Philip Carns, Sarp Oral, Feiyi Wang, and Jesse Hanley. 2022. Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. In Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC '22). Association for Computing Machinery, New York, NY, USA.   DATA & FILE OVERVIEW   1. File List:       1. `darshan`: Dataset derived from raw Darshan logs collected in Cori during April 2020. Months are organized as directories with a `Darshan.csv` file in each day containing all the counters collected and relevant to our investigation.       2. `domains`: Dataset maps job identification to their primary associated science domain as reported by NERSC upon project registration. A single CSV comprises all jobs in April 2020 covered or not by Darshan.   2. Additional related data collected that was not included in the current data package:       - The original raw Darshan logs are not included in this package.   4. Are there multiple versions of the dataset?       - No, this is the first version of this dataset.   DESCRIPTIONS FOR VARIABLES USED IN THE FILES   1. Darshan counter dataset   * `uid`: User identifier that ran this job * `jobid`: Job identifier from the SLURM scheduler * `rank`: Rank identifier * `recordid`: File record identifier * `fstype`: File system type * `POSIX_OPENS`: Number of open calls in POSIX * `POSIX_FILENOS`: Number of POSIX fileno operations * `POSIX_DUPS`: Number of POSIX dup operations * `POSIX_READS`: Number of POSIX read operations * `POSIX_WRITES`: Number of POSIX write operations * `POSIX_SEEKS`: Number of POSIX seek operations * `POSIX_STATS`: Number of POSIX stat operations * `POSIX_MMAPS`: Number of POSIX mmap operations * `POSIX_FSYNCS`: Number of POSIX fsync operations * `POSIX_FDSYNCS`: Number of POSIX fdatasync operations * `POSIX_BYTES_READ`: Total number of bytes that were read from the file * `POSIX_BYTES_WRITTEN`: Total number of bytes written to the file * `POSIX_CONSEC_READS`: Number of consecutive reads (that were immediately adjacent to the previous access) * `POSIX_CONSEC_WRITES`: Number of consecutive writes (that were immediately adjacent to the previous access) * `POSIX_SEQ_READS`: Number of sequential reads (at a higher offset than where the previous access left off) * `POSIX_SEQ_WRITES`: Number of sequential writes (at a higher offset than where the previous access left off) * `POSIX_SIZE_READ_0_100`: Number of read access between 0 and 100 bytes at POSIX level * `POSIX_SIZE_READ_100_1K`: Number of read access between 100 bytes and 1KB at POSIX level * `POSIX_SIZE_READ_1K_10K`: Number of read access between 1KB and 10KB at POSIX level * `POSIX_SIZE_READ_10K_100K`: Number of read access between 10KB and 100KB at POSIX level * `POSIX_SIZE_READ_100K_1M`: Number of read access between 100KB and 1MB at POSIX level * `POSIX_SIZE_READ_1M_4M`: Number of read access between 1MB and 4MB at POSIX level * `POSIX_SIZE_READ_4M_10M`: Number of read access between 4MB and 10MB at POSIX level * `POSIX_SIZE_READ_10M_100M`: Number of read access between 10MB and 100MB at POSIX level * `POSIX_SIZE_READ_100M_1G`: Number of read access between 100MB and 1GB at POSIX level * `POSIX_SIZE_READ_1G_PLUS`: Number of read access greater than 1GB at POSIX level * `POSIX_SIZE_WRITE_0_100`: Number of write access between 0 and 100 bytes at POSIX level * `POSIX_SIZE_WRITE_100_1K`: Number of write access between 100 bytes and 1KB at POSIX level * `POSIX_SIZE_WRITE_1K_10K`: Number of write access between 1KB and 10KB at POSIX level * `POSIX_SIZE_WRITE_10K_100K`: Number of write access between 10KB and 100KB at POSIX level * `POSIX_SIZE_WRITE_100K_1M`: Number of write access between 100KB and 1MB at POSIX level * `POSIX_SIZE_WRITE_1M_4M`: Number of write access between 1MB and 4MB at POSIX level * `POSIX_SIZE_WRITE_4M_10M`: Number of write access between 4MB and 10MB at POSIX level * `POSIX_SIZE_WRITE_10M_100M`: Number of write access between 10MB and 100MB at POSIX level * `POSIX_SIZE_WRITE_100M_1G`: Number of write access between 100MB and 1GB at POSIX level * `POSIX_SIZE_WRITE_1G_PLUS`: Number of write access greater than 1GB at POSIX level * `POSIX_F_OPEN_START_TIMESTAMP`: Timestamp that the first POSIX file open operation began * `POSIX_F_READ_START_TIMESTAMP`: Timestamp that the first POSIX file read operation began * `POSIX_F_WRITE_START_TIMESTAMP`: Timestamp that the first POSIX file write operation began * `POSIX_F_CLOSE_START_TIMESTAMP`: Timestamp that the first POSIX file close operation began * `POSIX_F_OPEN_END_TIMESTAMP`: Timestamp that the last POSIX file open operation ended * `POSIX_F_READ_END_TIMESTAMP`: Timestamp that the last POSIX file read operation ended * `POSIX_F_WRITE_END_TIMESTAMP`: Timestamp that the last POSIX file write operation ended * `POSIX_F_CLOSE_END_TIMESTAMP`: Timestamp that the last POSIX file close operation ended * `POSIX_F_READ_TIME`: Cumulative time spent reading at the POSIX level * `POSIX_F_WRITE_TIME`: Cumulative time spent in write, fsync, and fdatasync at the POSIX level * `POSIX_F_META_TIME`: Cumulative time spent in open, close, stat, and seek at the POSIX level * `MPIIO_INDEP_OPENS`: Number of non-collective MPI opens * `MPIIO_COLL_OPENS`: Number of collective MPI opens * `MPIIO_INDEP_READS`: Number of non-collective MPI reads * `MPIIO_INDEP_WRITES`: Number of non-collective MPI writes * `MPIIO_COLL_READS`: Number of collective MPI reads * `MPIIO_COLL_WRITES`: Number of collective MPI writes * `MPIIO_SPLIT_READS`: Number of MPI split collective reads * `MPIIO_SPLIT_WRITES`: Number of MPI split collective writes * `MPIIO_NB_READS`: Number of MPI non-blocking reads * `MPIIO_NB_WRITES`: Number of MPI non-blocking writes * `MPIIO_SYNCS`: Number of MPI file syncs * `MPIIO_MODE`: MPI mode that the file was last opened in * `MPIIO_BYTES_READ`: Total number of bytes that were read from the file at MPI level * `MPIIO_BYTES_WRITTEN`: Total number of bytes written to the file at MPI level * `MPIIO_RW_SWITCHES`: Number of times that access toggled between read and write in consecutive MPI operations * `MPIIO_SIZE_READ_0_100`: Number of read access between 0 and 100 bytes at MPIIO level * `MPIIO_SIZE_READ_100_1K`: Number of read access between 100 bytes and 1KB at MPIIO level * `MPIIO_SIZE_READ_1K_10K`: Number of read access between 1KB and 10KB at MPIIO level * `MPIIO_SIZE_READ_10K_100K`: Number of read access between 10KB and 100KB at MPIIO level * `MPIIO_SIZE_READ_100K_1M`: Number of read access between 100KB and 1MB at MPIIO level * `MPIIO_SIZE_READ_1M_4M`: Number of read access between 1MB and 4MB at MPIIO level * `MPIIO_SIZE_READ_4M_10M`: Number of read access between 4MB and 10MB at MPIIO level * `MPIIO_SIZE_READ_10M_100M`: Number of read access between 10MB and 100MB at MPIIO level * `MPIIO_SIZE_READ_100M_1G`: Number of read access between 100MB and 1GB at MPIIO level * `MPIIO_SIZE_READ_1G_PLUS`: Number of read access greater than 1GB at MPIIO level * `MPIIO_SIZE_WRITE_0_100`: Number of write access between 0 and 100 bytes at MPIIO level * `MPIIO_SIZE_WRITE_100_1K`: Number of write access between 100 bytes and 1KB at MPIIO level * `MPIIO_SIZE_WRITE_1K_10K`: Number of write access between 1KB and 10KB at MPIIO level * `MPIIO_SIZE_WRITE_10K_100K`: Number of write access between 10KB and 100KB at MPIIO level * `MPIIO_SIZE_WRITE_100K_1M`: Number of write access between 100KB and 1MB at MPIIO level * `MPIIO_SIZE_WRITE_1M_4M`: Number of write access between 1MB and 4MB at MPIIO level * `MPIIO_SIZE_WRITE_4M_10M`: Number of write access between 4MB and 10MB at MPIIO level * `MPIIO_SIZE_WRITE_10M_100M`: Number of write access between 10MB and 100MB at MPIIO level * `MPIIO_SIZE_WRITE_100M_1G`: Number of write access between 100MB and 1GB at MPIIO level * `MPIIO_SIZE_WRITE_1G_PLUS`: Number of write access greater than 1GB at MPIIO level * `MPIIO_F_OPEN_START_TIMESTAMP`: Timestamp that the first MPIIO file open operation began * `MPIIO_F_READ_START_TIMESTAMP`: Timestamp that the first MPIIO file read operation began * `MPIIO_F_WRITE_START_TIMESTAMP`: Timestamp that the first MPIIO file write operation began * `MPIIO_F_CLOSE_START_TIMESTAMP`: Timestamp that the first MPIIO file close operation began * `MPIIO_F_OPEN_END_TIMESTAMP`: Timestamp that the last MPIIO file open operation ended * `MPIIO_F_READ_END_TIMESTAMP`: Timestamp that the last MPIIO file read operation ended * `MPIIO_F_WRITE_END_TIMESTAMP`: Timestamp that the last MPIIO file write operation ended * `MPIIO_F_CLOSE_END_TIMESTAMP`: Timestamp that the last MPIIO file close operation ended * `MPIIO_F_READ_TIME`: Cumulative time spent reading at MPI level * `MPIIO_F_WRITE_TIME`: Cumulative time spent write and sync at MPI level * `MPIIO_F_META_TIME`: Cumulative time spent in open and close at MPI level * `MPIIO_F_VARIANCE_RANK_TIME`: The population variance for MPI I/O time of all the ranks * `MPIIO_F_VARIANCE_RANK_BYTES`: The population variance for bytes transferred of all the ranks at MPI level * `STDIO_OPENS`: Number of stdio file open operations * `STDIO_FDOPENS`: Number of stdio fdopen operations * `STDIO_READS`: Number of stdio read operations * `STDIO_WRITES`: Number of stdio write operations * `STDIO_SEEKS`: Number of stdio seek operations * `STDIO_STATS`: Number of stdio stats operations * `STDIO_FLUSHES`: Number of stdio flush operations * `STDIO_BYTES_READ`: Total number of bytes read from the file using stdio operations * `STDIO_BYTES_WRITTEN`: Total number of bytes written to the file using stdio operations * `STDIO_META_TIME`: Cumulative time spent in stdio open/close/seek operations * `STDIO_READ_TIME`: Cumulative time spent in stdio read operations * `STDIO_WRITE_TIM`: Cumulative time spent in stdio write operations   2. Science domain dataset   * `job_id`: Unique job identifier automatically generated by SLURM upon submission * `date`: Date the job started to run as provided by SLURM * `science_domain`: Science domain of the job based on the information provided upon project allocation   RESOURCES   Helpful resources in understanding and utilizing this dataset:   1. Data collection methodology, understanding of Darshan logs and counters       - <a href="https://www.mcs.anl.gov/research/projects/darshan/documentation">Darshan</a>: Darshan HPC I/O Characterization Tool Documentation   2. General information about the NERSC Cori Supercomputer       - <a href="https://docs.nersc.gov/systems/cori">CORI</a>: General information about the Cori supercomputer     - <a href="https://docs.nersc.gov/tools/performance/darshan">Darshan</a>: Darshan I/O profiler documentation in Cori

opencc-by-4.0Aug 2022View details →

Tweets from the European Patent Office account (@epoorg): April 2009-July 2022

19566 tweets released by th the European Patent Office account (@epoorg): April 2009-July 2022. Fields: id<gx:category>, author_id<gx:category>, author_name<gx:category>, author_handler<gx:category>, author_avatar<gx:url> ,user_created_at<gx:date>, user_description<gx:text>, user_favourites_count<gx:number>, user_followers_count<gx:number>, user_following_count<gx:number>, user_listed_count<gx:number>, user_tweets_count<gx:number>, user_verified<gx:boolean>, user_location<gx:text>, lang<gx:category>, type<gx:category>,text<gx:text>, date<gx:date>, mention_ids<gx:list[category]>, mention_names<gx:list[category]>, retweets<gx:number>, favorites<gx:number>, replies<gx:number>, quotes<gx:number>, links<gx:list[url]>, links_first<gx:url>, image_links<gx:list[url]>, image_links_first<gx:url>, rp_user_id<gx:category>, rp_user_name<gx:category>, location<gx:text>, tweet_link<gx:url>, source<gx:text>, search<gx:category>

opencc-by-4.0Sep 2022View details →

RAL IMS retrieval of SO2 and sulphates (January to April 2022)

RAL IMS retrieval of SO2 and sulphates Description of the product The RAL (Rutherford Appleton Laboratory) Infrared/Microwave Sounder (IMS) retrieval core scheme (Siddans, 2019) uses an optimal estimation spectral fitting procedure to retrieve atmospheric and surface parameters jointly from co-located measurements by IASI (Infrared Atmospheric Sounding Interferometer), AMSU (Advanced Microwave Sounding Unit) and MHS(Microwave Humidity Sounder) on MetOp-B spacecraft, using RTTOV 12 (Radiative Transfer for TOVS)(Saunders et al., 2017) as the forward radiative transfer model. The use of RTTOV 12 enables the quantitative retrieval of volcanic-specific aerosols (sulphate aerosol) and trace gases (SO2). The present dataset includes IMS SO2 and sulphate aerosols retrievals from its near-real time implementation. The IMS scheme   retrieves the SO2 in the sensitive region around 1100-1200 cm−1, in ppbv assuming a uniform vertical mixing ratio. It retrieves sulphate-specific AOD (Aerosol Optical Depth) at 1170 cm−1 (i.e. the peak of the mid-infrared extinction cross section (Sellitto and Legras, 2016)), assuming a Gaussian extinction coefficient profile shape peaking at 20 km altitude, with 2 km full-width half-maximum. The bulk of the spectroscopic information on SO2 and sulphate aerosols, in the IMS scheme, thus comes from the IASI Fourier transform spectrometer (Clerbaux et al., 2009). We refer to the two retrieved products as IMS SO2 and IMS SA OD. References Clerbaux, C., Boynard, A., Clarisse, L., George, M., Hadji-Lazaro, J., Herbin, H., Hurtmans, D., Pommier, M., Razavi, A., Turquety, S., Wespes, C., and Coheur, P.-F.: Monitoring of atmospheric composition using the thermal infrared IASI/MetOp sounder, Atmospheric Chemistry and Physics, 9, 6041–6054, https://doi.org/10.5194/acp-9-6041-2009, 2009. Saunders, R., Hocking, J., Rundle, D., Rayer, P., Hayemann, S., Matricardi, A., Lupu, C., Brunel, P., and Vidot, J.: RTTOV-12 SCIENCE AND VALIDATION REPORT; Version : 1.0, Doc ID : NWPSAF-MO-TV-41, https://nwp-saf.eumetsat.int/site/download/documentation/rtm/docs_rttov12/rttov12_svr.pdf, 2017. Sellitto, P. and Legras, B.: Sensitivity of thermal infrared nadir instruments to the chemical and microphysical properties of UTLS secondary sulfate aerosols, Atmospheric Measurement Techniques, 9, 115–132, https://doi.org/10.5194/amt-9-115-2016, 2016. Siddans, R.: Water Vapour Climate Change Initiative (WV-CCI) - Phase One, Deliverable 2.2; Version 1.0, https://climate.esa.int/documents/1337/Water_Vapour_CCI_D2.2_ATBD_Part2-IMS_L2_product_v1.0.pdf, 2019. Description of the data The archive IMS-2022.tgz contains level 3 daily gridded files for the two retrieved products IMS SO2 and IMS SA OD in the period 13 January to 30 April 2022. A few days are missing between 9 March and 13 March. The first 8 letters of the name of each file contain the date. There are 4 files per day as the two products are in separate files and there is a file collecting day-time orbits and another one for night-time orbits every day. For the 28 April 2022, the four files are 20220428_ims_metopb_tir_qnrt_aot0_day_global_g0.5_qc0.nc         SA OD day-time orbits 20220428_ims_metopb_tir_qnrt_aot0_night_global_g0.5_qc0.nc       SA OD night-time orbits 20220428_ims_metopb_tir_qnrt_so2_day_global_g0.5_qc0.nc          SO2 day-time orbits 20220428_ims_metopb_tir_qnrt_so2_night_global_g0.5_qc0.nc        SO2 night-time orbits The names for other dates can be derived by changing the first 8 letters. The format is netdcf4 that is readable with many programming languages and graphics packages. The data are on a [-90,90] x [-180,180] lat x lon grid with resolution 0.25°, that is a 720 x 1440 array of centered values. For both SO2 and SA OD, the values are in the ‘data’ variable. The variable ‘qa_value’ is a quality control value used to screen values for plotting; 0 means do not plot; -1 means mask is not defined so the mask is not used (data will be plotted). SO2 units are ppbv (assuming a uniform mixing ratio vertical profile ). SA OD is an optical depth with no unit. Reading software A python package to read and process the data is available at https://github.com/bernard-legras/ASTuS/tree/master/IMS and in the IMS-reader.tgz archive

opencc-zeroMay 2024View details →

LPL11 - April 2024

Measurements of LPL11 (Frontera Rural Park) in April 2024 El Hierro Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL11">info</a>

opencc-zeroMay 2024View details →

LPL7 - April 2024

Measurements of LPL7 (Archipielago Chinijo) in April 2024 Archipielago Chinijo Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL7">info</a>

opencc-zeroMay 2024View details →

LPL2 - April 2024

Measurements of LPL2 (Caldera de Taburiente NP) in April 2024 La Palma Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a>

AK0SK CHU 7.850 MHz from April 8, 2024 Solar Eclipse

Radio: FTDX-1200, Hustler 5BTV Antenna: Vertical omnidirectional GPS-disciplined: Yes Potential QRM: Nearby commercial AM radio transmitter

K5UTD CHU 7.850 MHz from April 8, 2024 Solar Eclipse

Alice Beideck KI1TEN, Eric Mutton KJ5DIF, Ronald Dang K5SUS Radio: Yaesu FT-1000MP Antenna: Crushcraft R7000 Vertical, Mounted 3 stories on roof GPS-disciplined: No AGC: Off Lat/Lon: <table> <tbody> <tr> <td>32.98706034</td> <td>-96.75054227</td> </tr> </tbody> </table>

K8EOD CHU 14.670 MHz from April 8, 2024 Solar Eclipse

Radio: Yaesu FT-817 GPS-Disciplined: No AGC: Off Antenna: Long wire oriented NW/SE Used throughout Lat/Lon: <table> <tbody> <tr> <td>43.2548005</td> <td>-86.2689067</td> </tr> </tbody> </table> Notes: It appears that the software could only record 5 GB segments. I was alerted to this possibility after the period started. There was no way for me to know if it was actually happening. Thus, my file size is only 5GB or about 21 hours. Bummer! The 20 meter signal was strong during the several days it took to set up the station. It remained strong for a short time after the start and then disappeared. It came back very strong a few times during the two weeks of operation.

K4NLC CHU 7.850 MHz from April 8, 2024 Solar Eclipse

Radio: Icom 7300 GPS-Disciplined: Yes AGC: Off Antenna: EFHW - East-West Lat/Lon: <table> <tbody> <tr> <td>35.1962</td> <td>-76.9787</td> </tr> </tbody> </table> Comments: Thank you all for letting an old man play!

KG2BAD CHU 3.330 MHz from April 8, 2024 Solar Eclipse

Radio: Yaesu FTDX10 GPS-disciplined: No AGC: Off Antenna: North-South Lat/Lon: <table> <tbody> <tr> <td>32.722879</td> <td>-96.846604</td> </tr> </tbody> </table> Notes: I had to disconnect my system twice because of thunderstorms with serious lightning twice during the recording period. I also lost power while I was away from my station on Friday 4/12. I started recording again when I got home and learned power was lost and my computer had restarted.

N1NAZ CHU 7.850 MHz from April 8, 2024 Solar Eclipse

Note: N1NAZ collected data for all 3 frequencies of interest.  Radio: Not specified Antenna: 265' Horz. Delta Loop At 50' Lat/Lon:  <table> <tbody> <tr> <td>42.84655113</td> <td>-71.42770866</td> </tr> </tbody> </table> Notes: April 6th data interupted because of extended Power Failure from Storm

N1NAZ CHU 3.330 MHz from April 8, 2024 Solar Eclipse

KD8VRX CHU 14.670 MHz from April 8, 2024 Solar Eclipse

Radio: IC-7300 with FLDigi GPS-disciplined: No AGC: On Antenna: 1/4 wave vertical antenna. Omni directional, only antenna used. Lat/lon: <table> <tbody> <tr> <td>39.38604766</td> <td>-84.47576088</td> </tr> </tbody> </table> Notes: Started recording late because of thunderstorms for a few days.

N1NAZ CHU 14.670 MHz from April 8, 2024 Solar Eclipse

W1WV CHU 7.580 MHz from April 8, 2024 Solar Eclipse

Note: W1WV recorded multiple frequencies. Radio: Yaesu FTDX5000; AGC off, 6Kc roofing filter, USB mode tuned 1Kc below carrier frequency. No changes to receiver and antenna throughout recording period. GPS-disciplined: No AGC: Off Antenna: Array Solutions SAL-20 Vertical Shared Apex Loop array oriented NW direction. Loop apex height 25 feet. Lat/lon: <table> <tbody> <tr> <td>42.64357</td> <td>-74.03729</td> </tr> </tbody> </table> Notes: Separate files due to PC crash and HDD space limitations.

W1WV CHU 3.330 MHz from April 8, 2024 Solar Eclipse

Note: W1WV recorded on multiple frequencies. Radio: ICOM IC-R75, AGC off, Wide filter, USB mode tuned 1Kc below carrier frequency. No changes to receiver and antenna throughout recording period. Antenna: Wellbrooke ALA-1530LNP Bi-Directional Mag RX Loop oriented NW/SE direction. Loop diameter 1-meter, 10 feet above ground mounted onto a rotator. Lat/lon: <table> <tbody> <tr> <td>42.64357</td> <td>-74.03729</td> </tr> </tbody> </table> Notes: Two separate files made due to PC HDD space limitations

N2END CHU 7.850 MHz from April 8, 2024 Solar Eclipse

Radio: QRPLabs Receiver Module with Polyphase Network (USB) GPS-disciplined: Yes AGC: Off Antenna: 12' circumference magnetic loop, 1/2" copper, vacuum capacitor, ferrite transformer, broad sides N-S Lat/lon: <table> <tbody> <tr> <td>44.308707</td> <td>-74.130823</td> </tr> </tbody> </table> Recording method: SBSpectrum (bitmap images)

AA9FT CHU 3.330 MHz from April 8, 2024 Solar Eclipse

Radio: RSPduo software defined receiver Antenna: East-West EFHW GPS-disciplined: Yes AGC: Off Station Coordinates: 41.339, -88.427 Notes: I tried to record 7.850 MHz also with the other tuner, but the recording did not initialize properly. My apologies.

N3NMV CHU 14.670 MHz from April 8, 2024 Solar Eclipse

Radio: Icom IC-7300 GPS-disciplined: No AGC: Off Antenna: MFJ-1796 Lat/lon: <table> <tbody> <tr> <td>30.3837824</td> <td>-97.6828444</td> </tr> </tbody> </table>