We present a petrologic and mineral physics database as part of the USGS National Crustal Model (NCM) for the western United States. Each of 209 geologic units, 134 of which are currently part of the geologic framework within the NCM, is assigned a mineralogical composition according to generalized classifications with some refinement for specific geologic formations. The mineral physics database builds off of previous work to include several minerals specific to continental rock types. We explore the impact of this database on zero-porosity anharmonic P- and S-wave rock velocities and density relative to a well-used empirical study by Brocher (2005) and find that empirical relations between P-wave velocity and S-wave velocity or density do well on average but can differ from mineral physics calculations by up to 15% in S-wave velocity and almost 40% in density. This is consistent with Brocher’s study where he obtained similar results for in-situ measurements and laboratory rock specimens.

The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center. Besides direct access to the data and documentation, SPDF also provides web-based services for survey and high resolution data and trajectories. The Facility supports data from most NASA Heliophysics missions to promote correlative and collaborative research across discipline and mission boundaries.

FTPBrowser at GSFC/SPDF is an interface for graphical or digital display and/or retrieval of subsets of data that are in selected ones of SPDF's ftp-accessible ASCII or g-zipped ASCII data sets. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

ATMOWeb ( as the part of FTPBrowser interface) provides a graphical browsing, subsetting and retrieval capability for selected ionospheric and atmospheric data. Data can be displayed as time series plots, filtering and scatter plot options are also included for a few spacecraft. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

Hourly-averaged near-Earth solar wind magnetic field and plasma, etc. The web services consists of OMNI data (spacecraft-interspersed, near-Earth solar wind data); spacecraft-specific data sets (near 1 AU, including near-Earth) including ACE, Geotail, IMP-8, IMP6&7, Wind, Explorer 33&35, Genesis, ISEE 3, Prognoz, SOHO, GOES, and Moon. Data also includes deep space data including COHOWeb-formatted hourly solar wind field and plasma, Pioneer, Ulysses, Voyager, Cassini, Helios, Mariner, and STEREO; and Interfaces for comparing multi-source data. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

Comprehensive dataset containing 55 verified Department of Physics locations in United States with complete contact information, ratings, reviews, and location data.

This dataset is comprised of a collection of example DMPs from a wide array of fields; obtained from a number of different sources outlined below. Data included/extracted from the examples include the discipline and field of study, author, institutional affiliation and funding information, location, date created, title, research and data-type, description of project, link to the DMP, and where possible external links to related publications or grant pages. This CSV document serves as the content for a McMaster Data Management Plan (DMP) Database as part of the Research Data Management (RDM) Services website, located at https://u.mcmaster.ca/dmps. Other universities and organizations are encouraged to link to the DMP Database or use this dataset as the content for their own DMP Database. This dataset will be updated regularly to include new additions and will be versioned as such. We are gathering submissions at https://u.mcmaster.ca/submit-a-dmp to continue to expand the collection.

Abstract An on-line numerical database system, that is based on the concept of a weighted search tree and which functions like a file directory, is introduced. The system, which is designed to aid in reducing time-consuming redundant calculations in numerically intensive computations, can be used to fetch, insert and delete items from a dynamically generated list in optimal [ O (log n) where n is the number of items in the list] time. Items in the list are ...

Title of program: WSTREE Catalogue Id: ACTZ_v1_0

Nature of problem Scientific computing applications frequently involve redundant calculations. This occurs either because the number of numbers that need to be calculated is too large to be stored in memory or they occur in unknown combinations so pregeneration, which would allow them to be ordered separately and efficiently so a simple binary look up could be used, is impracticable or impossible. The wst numerical database system introduced here [1-3] can be used to circumvent this problem as it enables one to p ...

Versions of this program held in the CPC repository in Mendeley Data ACTZ_v1_0; WSTREE; 10.1016/0010-4655(94)90172-4

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center. The Coordinated Data Analysis (CDAWeb) provides data browsing and listings for the SPDF archived data in CDF and netCDF scientific data formats. This web service covers most recent space physics missions (including ACE, Cluster, C/NOFS, FAST, Geotail, GOES 5-12, IMAGE, LANL 1989-2002, NOAA 10-14, OMNI, Polar, STEREO, THEMIS, TIMED, Ulysses, Van Allen Probes, Voyager, Wind and others) and older missions (including Alouette, CRRES, DE, Hawkeye, IMP-8, ISIS, NOAA 5-10, OMNI and others).

This dataset was generated for the purpose of developing unfolding methods that leverage generative machine learning models. It consists of two pieces: one piece contains events with the Standard Model (SM) production of a top-quark pair in the semi-leptonic decay mode, and the other contains events with top-quark pair production modified by a non-zero EFT operator. The SM dataset contains 15,015,000 events, and the EFT dataset contains 30,000,000. Both datasets store the following event configurations:

• Parton level: configurations of all partons that result from the matrix element calculation done using MadGraph
• Particle level: configurations of all “truth” jets and leptons that result from the parton shower and hadronization modelled using Pythia
• Detector level: configurations of all reconstruction level jets and leptons, measured by a detector simulated with Delphes and the default CMS detector card.

Each of these configurations is stored in a dedicated group as described below. Throughout, the units of energy and transverse momentum are GeV. For more details on the generation of this dataset, see Ref. [1].

Parton level data:

• No phase space requirements are placed on the events at parton level.
• The kinematics of the top, anti-top, W+, W-, and all decay products are contained in groups entitled top, antitop, Wp, and Wm respectively. Each of these contains the kinematics of the parton itself in a group called “particle”, as well as the kinematics of two daughter particles, in groups called “d1” and “d2”. In the case of the tops, these daughters are the W’s and b quarks. In the case of the W’s, these are two light quarks, or a lepton and a neutrino. The “pid” vector contains the PDGID for a given particle, used to identify its type.
• One detail is that the W’s “particle” description is not always the same as the description of the same W stored as the daughter of the tops. This results from when the W radiates some parton before decaying.

Particle level data:

• At particle level all leptons and jets are required to have $p_T > 25$ GeV and absolute pseudo rapidity $|\eta| < 2.5$.
• Events at particle level are required to have at least one electron or muon and at least 4 jets, of which at least two are b-tagged. Event which pass or fail this criteria are marked by the vector contained in the group “mask”.
• Electrons and muons are stored in separate groups. Each group contains a vector “mask” which is true only if there is a true particle-level electron or muon in the event, and false if this entry is zero padding.
• Jets are clustered from stable particle level objects using the anti-kt algorithm with a radius parameter of 0.5. Jet information is stored in the group “jets”, and true jets in the event are again denoted by a true value in the vector “mask”, and zero-padding is marked by a false value. Jets additionally contain a vector “btag” which is 1 if the jet is b-tagged with the default Delphes prescription, and 0 if not.
• Information on the missing transverse momentum (MET) is contained in the group “met”. The “met” vector gives the magnitude, and the “phi” vector gives the direction in phi of the missing transverse momentum.
• In addition to the information on the jets, leptons, and MET, the particle level data also contain the configurations for the hadronic top, leptonic top, and ttbar system. These configurations are determined assuming the pseudo-top jet parton assignment algorithm, which is a common method used by LHC experiments when analyzing semileptonic ttbar events.

Detector level data:

• Requirements for leptons and jets are the same as for the particle level data.
• The event selection is the same as the particle level data. Events which pass the selection are again denoted by a true value in the vector “mask”.
• The data for the leptons, jets, and MET are stored analogously to particle level
• The configurations of the top quarks and ttbar system are not pre-computed at detector level, since ideally a generative unfolding method would not assume a given jet-carton assignment algorithm when it is being trained. However if the user wishes to pursue such an application, the relevant configurations can be obtained by running the pseudo-top algorithm [2].

Citations:

[1] - https://arxiv.org/abs/2404.14332

[2] - https://twiki.cern.ch/twiki/bin/view/LHCPhysics/ParticleLevelTopDefinitions

Comprehensive dataset containing 32 verified Department of Physics and Astronomy locations in United States with complete contact information, ratings, reviews, and location data.

Cloud physics measurements from the suite of instrumentation on the NOAA P-3 aircraft that flew around convective systems over the central United States during the TORUS_2022 campaign. Instruments include a Precipitation Imaging Probe, Cloud Imaging Probe, Cloud Droplet Probe, and CAS - Cloud and Aerosol Spectrometer.

Hourly-averaged deep space magnetic field, plasma, and ephemerides. This web service includes data from missions including Helios1, Helios2, OMNI_M, Pioneer10, Pioneer11, Pioneer Venus, Stereo-A, Stereo-B, Ulysses, Voyager1, Voyager2, Mariner2, Pioneer6, Pioneer7. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

This is a database of total ionization cross sections of atoms and molecules by electron impact. The cross sections were calculated using the Binary-Encounter-Bethe (BEB) model, which combines the Mott cross section with the high-incident energy behavior of the Bethe cross section. Selected experimental data are included. Singly differential cross sections are included for H, He, and H2. Electron-impact excitation cross sections are also included for selected atoms.

Advances in Physics Acceptance Rate - ResearchHelpDesk - Advances in Physics publishes authoritative critical reviews by experts on topics of interest and importance to condensed matter physicists. It is intended for motivated readers with a basic knowledge of the journal’s field and aims to draw out the salient points of a reviewed subject from the perspective of the author. The journal's scope includes condensed matter physics and statistical mechanics: broadly defined to include the overlap with quantum information, cold atoms, soft matter physics and biophysics. The Perspectives section complements the regular reviews with occasional shorter, more provocative articles by leaders in their fields in order to stimulate debate in the community. These articles present concise perspectives on topics of major current interest. All Advances in Physics reviews and perspectives are commissioned and subject to peer review by independent, anonymous expert referees. Readership: Physicists, materials scientists and physical chemists in universities, industry and research institutes. Abstract & indexing Academic Keys Astrophysics Data System CASSI SM Clarivate Analytics: Science Citation Index® Clarivate Analytics: Current Contents® / Physical, Chemical & Earth Sciences Clarivate Analytics: Science Citation Index Expanded™ Clarivate Analytics: SciSearch® Ei Compendex® Electronic Journals Library (EZB) GeoRef (Americal Geosciences Institute) INSPEC® ProQuest® Abstracts in New Technology & Engineering ProQuest® Aerospace Database ProQuest® Aluminium Industry Abstracts ProQuest® Ceramic Abstracts ProQuest® Civil Engineering Abstracts ProQuest® Computer and Information Systems Abstracts ProQuest® Copper Technical Reference Library ProQuest® Corrosion Abstracts ProQuest® Earth, Atmospheric & Aquatic Science Database ProQuest® Earthquake Engineering Abstracts Database ProQuest® Electronics and Communications Database ProQuest® Materials Business File ProQuest® METADEX ProQuest® Natural Science Collection ProQuest® SciTech Premium Collection ProQuest® Solid State and Superconductivity Abstracts EBSCO Science & Technology Collection SCOPUS® – click here for current CiteScore

Abstract A set of easy-to-use FORTRAN routines for building and accessing data structures of the type commonly encountered in scientific applications is introduced. Fetch and insert times go as ≻ [log (n)], where n is the number of elements in the list. The routines implement AVL or height-balanced binary tree logic. Each tree is a linear integer array. The first ten elements of a tree array specify its structure and the remaining elements are dedicated to node information. Each node includes key and ... Title of program: BBTREE Catalogue Id: ABJR_v1_0 Nature of problem Typical scientific programming applications require numerous calls to one or more subroutines. The intermediate results generated by these calls are usually not saved; if the same information is required at a later stage it is simply recalculated. While wasteful of cpu power, this modus operandi is attractive because it spares the user the time and effort associated with the development of complicated data storage and retrieval algorithms. However, if the number of redundant calls to a particula ... Versions of this program held in the CPC repository in Mendeley Data ABJR_v1_0; BBTREE; 10.1016/0010-4655(89)90076-3 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Display and download orbit and trajectory data for most heliophysics missions. The Satellite Situation Center (SSC) also enables complex queries between spacecraft and ground locations, tracing along magnetic field lines, and geophysical regions of space. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

Optimized geometries of the charged and neutral solutes as well as all the numerical values of gas phase acidities, solvation free energies, and pKa values

ATMOWeb ( as the part of FTPBrowser interface) provides a graphical browsing, subsetting and retrieval capability for selected ionospheric and atmospheric data. Data can be displayed as time series plots, filtering and scatter plot options are also included for a few spacecraft. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

Title of program: DIRAC Catalogue Id: AAIB_v1_0

Nature of problem DIRAC (dynamic information retrieval of atomic codes) is a program which dynamically retrieves information from a databank upon a users request and displays this information on an online graphical display unit. The display can be tabular or graphical of any of the data stored in the databank. The databank is itself formed by DIRAC and is automatically updated if runs are initiated by the user from the display unit. The system can be used by any collection of theoretical codes for calculating cro ...

Versions of this program held in the CPC repository in Mendeley Data AAIB_v1_0; DIRAC; 10.1016/0010-4655(73)90098-2

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)