Data Catalog

There are seven zip files of data pertaining to the Pioneer WEC v1 ocean deployment.

(1-6) Pioneer multiple sensor data "Month Year".zip: contains monthly data from the majority of onboard instruments (e.g., electrical power, mechanical motion, etc.)

(7) Pioneer vibration sensor data full 6 months.zip: contains data from the vibration sensor instrument for the full 6 month deployment

This zipped folder contains simulation notebooks, simulated data, and experimental data from the QSCOUT trapped-ion device that were used in the publication "Solovay-Kitaev Algorithm and Randomized Compilation" (https://doi.org/10.1103/ll6m-dbl7).

The raw data is in the form of measurement outcomes of simple tomographic quantum circuits that were executed on the QSCOUT device and simulated using JAQALPAQ. These data are used to create plots within the jupyter notebooks that were included in the publication.

This dataset contains recommendations culled from academic and gray literature on the implementation of responsible or ethical AI. Recommendations are tagged with 1 to 5 topical labels, and a label regarding the source type of their parent document.

Infrasound data and radiosonde profiles. These data were collected during the AtmoSense campaign.

This document describes the supplemental materials for the paper:
   TITLE: "Radiosonde-to-Space (R2S) atmospheric specifications: Bridging observations and models for infrasound propagation"
   DOI: xxxxxxxxxxx
   JOURNAL: TBD

Written by Loring Schaible, September 17, 2025

This folder contains eight subfolders, each for a specific date and UTC time (in format YYYY-MM-DD_HH). All eight of these dates are exemplified and described in the manuscript. Within each folder is six documents. As an example, consider the folder "2022-12-31_00". The six files are comprised of:
   - Two text files (extension .txt) that describe the atmospheric specifications of Albuquerque, NM. One is the G2S model, the other is the R2S model.
"G2S_2022-12-31_00.txt"
"R2S_2022-12-31_00.txt"
   - Two text files (extension .dat) that contain the ground arrivals predicted by infraGA using the parameters described in the manuscript. One each for the two atmospheric specification models above, G2S and R2S.
"G2S_2022-12-31_00.arrivals.dat"
"R2S_2022-12-31_00.arrivals.dat"
   - Two image files (extension .png) that illustrate the predicted arrivals contained in the two files above. One image shows all arrivals as either black (G2S) or red (R2S). The other image shows the same but with arrivals common to both models in gray.
"2022-12-31_00_Arrivals.png"
"2022-12-31_00_DifArrivals.png"

Infrasound data and balloon trajectories. These data were collected during the OSIRIS-REx sample return capsule re-entry.

The data set includes gamma spectroscopy peak data for measurements taken with two different high purity germanium detectors using a mixed nuclide source and a U-235 fuel rod. There are a total of 5 specific energy peaks that were analyzed for the mixed nuclide source stemming from Am-241, Cd-109, Cs-137, and Co-60. There are a total of 3 specific energy peaks that were analyzed for the U-235 fuel rod. The data set includes the calculations and results from using a linear  correction factor, absolute efficiency curve, and relative efficiency curve to compare the net peaks counts from two different detectors.

Files needed to run the Integrase-On-Demand-Pipeline, a program designed to provide users with a list of putative attachment site and integrase pairs for a prokaryotic genome of interest.

1. isles.pkl: Serialized python-object file, containing a dictionary of attachment site sequences and reference genomic island information extracted from the Genomic island database
2. ints.gff: Gene format file containing annotations for all integrases referenced in isles.pkl. The source genome, gene coordinates, integrase name, protein IDs and amino acid sequence included.
3. reps.msh: Binary file containing 1000 128-bit MurmurHash3 hashes for >80,000 genomes

This dataset represents the tables generated as part of this report.

This dataset consists of 613 sets of corresponding current-voltage trace (IV) flash test data and electroluminescence (EL) image data for commercial PV modules from the Photovoltaic Systems Evaluation Laboratory at Sandia National Laboratories. PV modules are from fielded systems in Albuquerque, New Mexico, USA. Measurements of corresponding IV and EL data were taken over a 6 year period, with modules removed from the field and measured in the laboratory at 0 to 5 years of outdoor exposure. The 438 unique modules comprise 28 unique module models from 17 different brands, which are anonymized in the metadata. Additional metadata include current-voltage and electroluminescence acquisition parameters, and length of outdoor exposure.

For more metadata information see the AnonDB.csv file, which contains metadata for each module in the dataset, and provides information on each of the IV and EL measurements. Descriptions of each column in the AnonDB.csv file are listed under the "AnonDB Descriptions" resource linked below.

This project was funded under award "PV Proving Grounds" numbers 38268 and 52787.

This dataset includes outputs generated for the journal publication titled: "Investigating the relationship between bolide entry angle and apparent direction of infrasound signal arrivals".

The outputs include .csv files with model-generated synthetic trajectories of asteroids entering Earth at a variety of impact and approach (azimuthal) angles. All outputs are based on hypothetical but realistic scenarios.

This dataset contains de-identified data from human subjects experiments, along with the images and code that were used to run the experiments (as a crowdsourced online study). In this study, participants were shown the probability of a house being in the burn zone of a wildfire. They were asked if they would stay in the house or evacuate in that scenario. The probability information was presented in different ways, including text and maps. The studies tested the impact of different visual cues on the participants' patterns of decisions.

This supporting dataset comprises input files, regression output files, and associated plots that document the analytical framework used in the study.

Frequency Response of the full length of the Prysmian Cable with 100 ft the cable placed in the oven. One set of S-parameter data was collected at room temperature (22 °C) and the second at 300 °C after 5 days of baking.

This dataset holds simulated PCAP (packet capture) data from the SCEPTRE validation demonstration model as a set of pairwise communications between devices via specific protocols. All connections should be assumed to be symmetric, as this data is an aggregation of the true PCAP. A mapping is also provided associating each IP address with its true device type.

This data set contains 507 million random bits collected from a tunnel diode.