This is the HDF5 file module for Hyrax, developed by THG, Inc. in cooperation with OPeNDAP. This module facilitates the access of NASA AURA HDF-EOS5 files over Internet. Users can view and analyze remote NASA EOS data products via DAP protocol without downloading individual files via HTTP or FTP. Numerous OPeNDAP visualization / analysis client tools can access remote data if data provider installs Hyrax OPeNDAP server with this hdf5_handler module.

This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also included are links to the documentation for the dataset, Jupyter Notebook tutorials for working with the data as it is stored in AWS S3, and links to data viewers in OEDI for the horizontal (DASH) and vertical (DASV) DAS datasets. Horizontal DAS (DASH) data collection began 3/8/16, paused, and then started again on 3/11/2016 and ended 3/26/2016 using zigzag trenched fiber optic cabels. Vertical DAS (DASV) data collection began 3/17/2016 and ended 3/28/16 using a fiber optic cable through the first 363 m of a vertical well. These are raw data files from the DAS deployment at (DASH) and below (DASV) the surface during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. SEG-Y and hdf5 files are stored in 30 second files organized into directories by day. The hdf5 files available via HSDS are stored in daily files. Metadata includes information on the timing of recording gaps and a file count is included that lists the number of files from each day of recording. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.

This dataset contains several simulations of large-scale structure formation using numerical relativity, run with the Einstein Toolkit. The simulations begin from initial conditions drawn from the CMB, and grow over a redshift change of 1100, through to z~0. We sample different domain sizes of 100 Mpc, 500 Mpc, and 1 Gpc on a side (each assuming h=0.704), at resolutions N=64,128,256. For details of the simulation setup and initial conditions, see arXiv:1807.01711. For each simulation, there are a series of HDF5 files containing 3D data for each variable (spatial metric g_ij, extrinsic curvature K_ij, density, Eulerian velocity, lapse function) at a single time. These files are grouped into .tar.gz format, with the range of iterations included and the number of HDF5 files grouped together indicated in each filename. For each simulation we have included a text file which translates the iteration for each HDF5 snapshot into conformal time, FLRW scale factor, and effective FLRW redshift (see arXiv:1807.01711). For each simulation there are also several .tar.gz files containing scalar ascii data for some variables, i.e. maximum, minimum, average, etc., each as a function of time. The HDF5 data can be visualised using csplash-hdf5 (see http://users.monash.edu.au/~dprice/splash/), the analysis code mescaline (to be made public in the future), or using h5py in Python. The parameter files (.par) used to run the simulations with the Einstein Toolkit are also included in the dataset, which indicate the parameters set for each thorn used in the simulations

Supplementary Data

Status of the scalar singlet dark matter model
arXiv:1705.07931

The files in this record contain data for the scalar singlet dark matter model considered in the GAMBIT "Round 1" scalar singlet paper.

The files consist of

• Three YAML files, each corresponding to a different parameter range
• StandardModel_SLHA2_SingletDM_scan_15.yaml, a universal YAML fragment included from the other three YAML files
• Three hdf5 files. SingletDM.hdf5 contains the combined results of all sampling runs, and is the basis for the profile likelihood plots in the paper. SingletDM_TW_full.hdf5 and SingletDM_TW_lowmass.hdf5 contain the results from T-Walk scans over the full and low-mass parameter ranges, respectively. These are the bases for the marginalised posterior plots in the paper.
• An example pip file correspoinding to each hdf5 file, for producing plots using pippi

The YAML files corresponding to different parameter ranges follow the naming scheme SingletDM_[slice].yaml, where slice may be full, lowmass or neck. Each of these YAML files contains entries in the Scanners node for running Diver, MultiNest, TWalk and GreAT.

A few caveats to keep in mind:

1. The YAML files that we give here are updated compared to the ones that we used when generating the hdf5 file, in order to match the set of available options in the release version of GAMBIT 1.0.0. The included physics and numerics are however identical.

2. The YAML files are designed to work with the tagged release of GAMBIT 1.0.0, and the pip file is tested with pippi 2.0, commit 2ab061a8. They may or may not work with later versions of either software (but you can of course always obtain the version that they do work with via the git history).

3. The pip file is an example only. Users wishing to reproduce the more advanced plots in any of the GAMBIT papers should contact us for tips or scripts, or experiment for themselves. Many of these scripts are in multiple parts and require undocumented manual interventions and steps in order to implement various plot-specific customisations, so please don't expect the same level of polish as for files provided here or in the GAMBIT repo.

Lockheed Martin has updated six years of GOES-16 and GOES-17 data from the Geostationary Lightning Mapper (GLM), enhancing the accessibility of this crucial information. Previously, the GLM Level-0 (L0) data stored in the Comprehensive Large Array-data Stewardship System (CLASS) at the National Centers for Environmental Information (NCEI) was in a format difficult for users to work with, limiting its potential benefits. To address this, NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) plans to replace the existing L0 archive with this reprocessed data, now in the more user-friendly NetCDF/HDF5 format. This collection consists of archived L0 data from the GLM aboard the Geostationary Operational Environmental Satellite-R (GOES-R) Series, covering both GOES-East and GOES-West satellites during their operational and post-launch test phases. The GOES-R Series, extending the GOES mission through 2035, enhances our geostationary satellite observation capabilities. GOES-16, the first satellite of the GOES-R series, began operations as GOES-East on December 18, 2017. GOES-17 followed as GOES-West, starting on February 12, 2019. The reprocessed GLM L0 data spans from March 21, 2017, to September 6, 2022. The GLM, equipped to detect near-infrared optical transients over the Western Hemisphere, provides data including science, housekeeping, engineering, and diagnostic telemetry, along with orbit and attitude information from the GOES spacecraft. Each data packet, identified by a unique Application Process Identifier (APID) in its header, contains valuable information for interpretation. For detailed information on the L0 data, the GOES-R Series Product Definition and Users' Guide (PUG) offers comprehensive documentation, including instrument calibration and data reprocessing insights. Originally, the GLM L0 data was formatted in netCDF-4 with CCSDS packets stored as byte arrays, rendering them unreadable by standard netCDF applications. These were archived as hourly tar files by satellite. The newly reprocessed L0 data, however, is organized into daily files, including both background images (in FITS format) and event data (in netCDF-4), packaged as *.tgz files for easier access and use. By transitioning to a more accessible NetCDF/HDF5 file format, Lockheed Martin has significantly enhanced the utility of the GLM L0 archive, making it more beneficial for scientific and operational communities.

Data granules contain approximately 23 minutes (1/4 orbit) and include the surface elevation, surface roughness assuming no slope, surface slope assuming no roughness and geodetic and atmospheric corrections for the range at the full 40/sec resolution. (Suggested Usage: Scientists investigating surface elevation, slope, reflection, and other surface characteristics can use the GLAH06 data. The data values were used in the creation of the surface-specific altimeter products (GLAH12-15). Each GLAH06 file was created from an equivalent GLA06 binary formatted file. Users that want to access the data used to create the GLAH06 values can use the equivalent GLAHxx files for the GLAxx files as shown in the provenance metadata for the history that created the GLA06.)

ML1RADG is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the filter banks for the GHz radiometers. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADG data product should read the 'A Short Guide to the Use and Interpretation of v3.3/v3.4 Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/Level_1_ReadMe_2013-05-09.pdf). Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product. The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. The dataset objects represent data and geolocation fields; included in the file are file attributes and metadata. There is one file per day.

ML1RADD is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the digital autocorrelators. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADD data product should read the 'A Short Guide to the Use and Interpretation of v3.3/v3.4 Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/Level_1_ReadMe_2013-05-09.pdf).

Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. Included in the file are file attributes and metadata. There is one file per day.

ML1OA is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 orbit attitude and tangent point geolocation data. The current version is 4.2. Data coverage is complete from August 8, 2004 to current. Files contain a full days worth of data (15 orbits). Users of the ML1OA data product should read the 'A Short Guide to the Use and Interpretation of v4 Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/Level_1_ReadMe_v4.pdf). Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product. The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. Included in the file are file attributes and metadata. There is one file per day.

The AG5KMMOH.004 dataset was decommissioned as of December 14, 2016. Users are encouraged to use Version 4.1 of ASTER Global Emissivity Dataset, Monthly, 0.05 degree, HDF5 (AG5KMMOH.041 - https://doi.org/10.5067/community/aster_ged/ag5kmmoh.041).

Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 – 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product MOD07 and the MODTRAN 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product MOD10CM, and vegetation information from the MODIS monthly gridded NDVI product MOD13C2. ASTER GED Monthly V004 data products are offered in both Hierarchical Data Format 5 (.HDF5) and Network Common Data Form 4 (.NetCDF4) formats.

The ASTER GED Monthly V004 files are scheduled to be delivered around the first quarter of the next Calendar year (January – March). For example, 2015 monthly files should be delivered and made available during the first quarter of Calendar year 2016.

The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set consists of a sampling of each type of Hierarchical Data Format version 4 (HDF4) data that are archived at the eight National Aeronautic and Space Administration (NASA) Earth Science Data Centers (ESDCs). The data were sampled for a collaborative study between The HDF Group, the Goddard Earth Sciences Data and Information Services Center (GES-DISC), and the National Snow and Ice Data Center (NSIDC) in order to assess the complex internal byte layout of HDF files. Based on the results of this assessment, methods for producing a map of the layout of the HDF4 files held by NASA were prototyped using a markup-language-based HDF tool. The resulting maps allow a separate program to read the file without recourse to the HDF application programming interface (API). Data products selected for the study, and a table summarizing the results, are available via HTTPS.

This dataset, created using the esabin Python library, comprises 9 spacecraft-years of electrodynamics measurements from Defense Meteorology Satellite Program F15, F16 and F18 spacecraft. Users of this data should prefer files which do not contain 'idm_only' in their filenames, as these do not use both components of DMSP ion drift vector measurements. They are included here to support reproducibility of a upcoming publication.

The HDF5 files herein organize this data in equal area bins in magnetic coordinates. Each Group in the files represents one bin. Each Dataset contains the data for one crossing of that bin by a DMSP spacecraft. The name of each Dataset is the approximate time of the crossing as Julian date. Hourly NASA OMNIWeb solar wind and geomagnetic activity parameters are included as attributes for each Dataset.

The electrodynamic parameters herein are magnetic perturbation (dB), electric field (E) and ion drift velocity (V). These quantities are scaled from satellite altitude (~850 km) where they were observed to ionospheric altitude (~110 km) using Modified Magnetic Apex coordinates. In the filenames, 'e' represents magnetic eastward and 'n' represents magnetic northward. Also included are geomagnetic-main-field-aligned Poynting flux also scaled to 110km altitude (files with 'poynting' in the name).