The Marine Minerals Geochemical Database was created by NGDC as a part of a project to construct a comprehensive computerized bibliography and geochemical database as a Cooperative effort with the Ocean Minerals and Energy Division of the National Ocean Service of NOAA, and the Office of Marine Minerals and International Activities (INTERMAR) of the Minerals Management Service. The marine minerals project was begun in April of 1983, and ended in 1991. Active compilation of the bibliography ended at NGDC in the fall of 1991. Coding of geochemical analyses at NGDC ended in 1989. The marine minerals database contains geochemical analyses and auxiliary information on present-day marine deposits of primarily ferromanganese nodules and crusts, but also contains some data for heavy minerals, and phosphorites. The NOAA & MMS Marine Minerals CDROM data set, funded by INTERMAR, containing the marine minerals geochemical database and bibliography with access software for PC and Macintosh platforms was released by NGDC in October of 1991. Sources of data include the historic Scripps Institution of Oceanography (SIO) manganese nodule analysis file, the CNEXO ferromanganese nodule analysis file, ferromanganese crust data compiled by the U.S. Geological Survey, and data coded at NGDC from the scientific literature. A placer data set from the USGS is also included. The ferromanganese nodule/crust portion of the database contains over 140,000 element/oxide analyses. Approximately 1,400 heavy mineral analyses and fewer than 300 phosphorite analyses are in the database. The geochemical database is described online through the NGDC server.The geochemical database has been corrected and updated by the International Seabed Authority, sponsored by the United Nations - their geochemical database supersedes the NGDC database.

The Minerals Management Service (MMS), Gulf of Mexico Outer Continental Shelf (OCS) Region, announces the availability of all releasable digital well log curves stored in the MMS database. Well logs collected under 30 CFR 250.66 were required to be submitted in digital format for all wells spudded on or after December 1, 1995. Releasability of this geoscientific data is in accordance with the Code of Federal Regulations. Digital well log curves are a new and valuable data format to be used with the latest technology for the exploration and development of hydrocarbons on the Federal Outer Continental Shelf. When incorporated into other databases that use the latest technology, this information provides the geoscientist with a visual representation of hydrocarbon reservoirs, thereby increasing accuracy of interpretation and permitting greater confidence in the resulting drilling recommendations.

The GRIP DC-8 Meteorological measurement System (MMS) dataset was collected by the Meteorological Measurement System (MMS), which provides high-resolution, accurate meteorological parameters (pressure, temperature, turbulence index, and the 3-dimensional wind vector). The MMS hardware consists of 3 major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. In addition to making the in flight measurements, a major and necessary step is the post mission systematic calibration and data processing. The primary data set consists of 1 Hz meteorological data (P, T, 3D winds). The secondary data set at 20 Hz includes the meteorological data and additional parameters such as Potential-Temperature; True-Air-Speed; aircraft GPS position, velocities, attitudes, acceleration and air flow data (angle-of-attack, sideslip) from August 10, 2010 through September 25, 2010. The Genesis and Rapid Intensification Processes (GRIP) experiment was a NASA Earth science field experiment. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.

No description is available. Visit https://dataone.org/datasets/46516b83f62a80c8e38bf01ae90f5bf7 for complete metadata about this dataset.

Dataset of magnetopause (MP) current sheet crossings identified by the Paschmann et al. 2018 MMS magnetopause database. This data covers 561 MP crossings from 4 years of MMS transits from 2015 to 2018 across the dayside and flank magnetopause. These 561 crossings include only monotonic, complete magnetopause crossings or clear Harris sheet like events. We also only considered events that had a significant peak in their current densities. Where “significant" in our case was considered to be a current crossing where at least 50% of the crossing duration was within 15% of the maximum current peak during that crossing. This condition enabled us to select events with a strong current and high signal-to-noise ratios. The magnetopause crossing times were taken from the MMS magnetopause crossing database created by Goetz Paschmann and Stein Haaland, and further developed by the International Space Science Institute Team 442, “Study of the physical processes in magnetopause and magnetosheath current sheets using a large MMS database” as analyzed in the paper Paschmann et al. 2018. Specifically, this data includes the Paschmann et al. 2018's MP crossing ID number identifying the specific event in their database and the start and end times of each crossing as identified by the database's automated minimum variance analysis of the magnetic field in boundary normal or LMN coordinates (Paschmann et al., 2018). The start time indicates when the MP current sheet for that specific MMS crossing began and the end time indicates when the current sheet ended. Additionally, the two datasets include averaged ion and electron data over each respective MP crossings, whose entries are described below:

This dataset contains Meteorological Measurement System (MMS) data collected on the NASA DC-8 aircraft from the High Ice Water Content (HIWC) Radar Study project that took place in Fort Lauderdale, Florida; Palmdale, California; and Kona, Hawaii. The data files are in ICARTT format.

This data set contains NASA DC-8 Meteorological Measurement System (MMS) Data collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 4 May 2012 through 22 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The global Membership Management Systems (MMS) market is experiencing robust growth, driven by the increasing need for streamlined membership processes across diverse sectors. The market size in 2025 is estimated at $5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors: the expanding adoption of cloud-based solutions offering scalability and cost-effectiveness; the rising demand for integrated systems that manage member databases, communication, and billing; and the increasing focus on enhancing member engagement and retention through personalized experiences. The market segmentation reveals a significant share held by cloud-based solutions, reflecting the industry's shift towards flexible and accessible technologies. Large enterprises dominate the application segment, reflecting their need for sophisticated functionalities to manage large membership bases. However, the growth of SMEs adopting MMS solutions is also considerable, indicating an expanding market opportunity. Geographic distribution shows strong growth across North America and Europe, driven by high technology adoption rates and a large number of established organizations with substantial membership bases. Asia Pacific, particularly China and India, presents a significant emerging market with considerable growth potential, fueled by increasing digitalization and economic growth. The competitive landscape is diverse, with both established players like Salesforce, SAP, Microsoft, and Oracle, and emerging regional providers like Yidong Fenxiang Technology and Kingdee. These companies are focusing on innovation, partnerships, and mergers and acquisitions to maintain their market position and capitalize on emerging market trends. While the market shows tremendous potential, challenges such as data security concerns, integration complexities, and the need for user-friendly interfaces remain. However, ongoing technological advancements, particularly in areas like AI and machine learning, are expected to address these challenges, further fueling the market's growth trajectory in the coming years. The continued expansion of online communities and the increasing reliance on subscription-based models will undoubtedly support sustained market growth.

This dataset contains PNG format plots of 2 hour duration Magnetic Field QuickLook time series (Btot, and Bx, By, Bz in GSM-DMPA coordinates and Bx, By, Bz in DMPA coordinates*) and 3-component survey spectrograms for MMS1, MMS2, MMS3, MMS4 from the Fields suite on the MMS spacecraft.

Also available within the same directory are 6-hour, 12-hour, and 24-hour plots. Magnetic field quicklook spectrograms also appear in the individual spacecraft summary plots all_mms1_summ, all_mms2_summ, all_mms3_summ, and all_mms4_summ.

At the top of each image is a title and a status bar indicating operational status for Fast and Burst mode over the time period of the plots. Immediately above the time labels on the horizontal axis are ephemeris data: Cartesian GSE coordinates and radial distance of the MMS1 spacecraft in units of Earth radii.

(*)From the FGM Data Products Guide:

Quicklook data have the best available calibration at the time of downlink applied and are not intended for scientific analysis.

Quicklook provides time series plots in .png format of FGM data, which is derived from either DFG or AFG.

Magnetic field data is provided in Despun Major Principal Axis of inertia (DMPA) coordinates, which is considered to be a ‘near-GSE’ coordinate system. That is, no attitude data has been applied, other than to despin using the on-board sun pulse times. The DMPA Z-axis is the aligned with the Major Principal Axis (MPA). In nominal operations, the MPA is maintained to be within 3 degrees of the GSE Z-axis (ecliptic normal). Thus, within the Region of Interest (ROI), DMPA should be within 3 degrees of alignment with true GSE coordinates. The MPA can be assumed to fixed in inertial space and aligned with the Angular Momentum vector, except in the presence of nutation. For the first year since launch, nutation has been observed to be minimal, and generally damped within hours after spacecraft maneuvers. In addition, a GSE to GSM transformation is applied to the DMPA data to yield data in what is termed GSM-DMPA coordinates. For a formal discussion of coordinate systems, see the MMS Project Coordinate System and Alignment Document (461-SYS-SPEC-0115C, or most recent version).

Serbia Telecommunications: Mobile Network: MMS data was reported at 2,675.000 Unit th in Sep 2018. This records a decrease from the previous number of 2,812.000 Unit th for Jun 2018. Serbia Telecommunications: Mobile Network: MMS data is updated quarterly, averaging 5,720.000 Unit th from Mar 2007 (Median) to Sep 2018, with 47 observations. The data reached an all-time high of 9,283.000 Unit th in Mar 2009 and a record low of 2,625.000 Unit th in Sep 2017. Serbia Telecommunications: Mobile Network: MMS data remains active status in CEIC and is reported by Statistical Office of the Republic of Serbia. The data is categorized under Global Database’s Serbia – Table RS.TB002: Telecommunication Statistics.

MMS and SMS : multimedia strategies for mobile messaging is a book. It was written by John Delaney and published by Ovum in 2002.

We use a machine learning approach to automatically identify shock crossings from the Magnetospheric Multiscale (MMS) spacecraft. We compile a database of 2797 crossings including various spacecraft related and shock related parameters for each event. Furthermore, for each event we provide an overview plot containing key parameters of the shock crossing. A Technical report detailing the content of the database can be found at the DOI: http://dx.doi.org/10.1029/2022JA030454

The Magnetospheric Multiscale (MMS) mission is a Solar Terrestrial Probes Program mission within NASA's Heliophysics Division. The MMS mission, consisting of four identically instrumented spacecraft, will use Earth's magnetosphere as a laboratory to study magnetic reconnection.

Turkey Number of Mobile Messages: Multimedia Messaging Service (MMS) data was reported at 13.900 Unit mn in Jun 2018. This records an increase from the previous number of 11.100 Unit mn for Mar 2018. Turkey Number of Mobile Messages: Multimedia Messaging Service (MMS) data is updated quarterly, averaging 26.200 Unit mn from Mar 2008 (Median) to Jun 2018, with 42 observations. The data reached an all-time high of 78.300 Unit mn in Sep 2012 and a record low of 11.100 Unit mn in Mar 2018. Turkey Number of Mobile Messages: Multimedia Messaging Service (MMS) data remains active status in CEIC and is reported by Information and Communication Technologies Authority . The data is categorized under Global Database’s Turkey – Table TR.TB002: Usage Volume.

The MMS magnetic field power spectral density (BPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of analog signals from the Search Coil Magnetometer (SCM) in the SCM123 coordinate system, see SCM data product guide for details, https://lasp.colorado.edu/mms/sdc/public/datasets/fields/. This data product is computed in space from individual components that are not synchronized to the 1 second pulse. Therefore, the timing between channels can be inaccurate by a fraction of a second. The samples times are interval start times taken from the x component. The spectra are calculated via a 1024-point FFT algorithm on piecewise continuous sets of waveform data. Nine signals can be processed simultaneously. Six of the twelve DC-coupled E, DC-coupled V, or SCM signals (16384 samples/s) are selected for spectral processing at 100% duty cycle. In addition, the three AC-coupled signals (262,144 kS/s) each can be processed at 6.25% duty cycle. Each of the nine signals has 16, 1024-point FFT operations every second; the field-programmable gate array (FPGA) performs 144 FFTs per second. The FFT is performed by an arithmetic logic unit (ALU), which is controlled by a state machine. Both are hard-coded into the FPGA. The operation starts by applying a 1024-point Hanning window onto a waveform. Next, an FFT is implemented. The FFT is broken into a series of "butterfly" operations performed by the ALU. The result has real and imaginary data. Power spectra are calculated by taking the sum of squares of real and imaginary values (the ALU includes a multiplier), which produces a power spectrum with 512 frequency bins. The frequency bins are then combined to give pseudo-logarithmic frequency spacing (del f)/f. The spectra are reduced to 88 frequency bins with (del f)/f between 6% and 12% when possible. Narrow-band emissions can be fit to an accuracy of (del f)/f ~3%, allowing for an accurate determination of plasma density. The spectra can be averaged in time. The fastest reporting rate of any signal is 16 spectra per second. Reporting rates can be as slow a one spectra every 16 s (averaging 256 spectra). The DSP and SCM instrument papers can be found at https://link.springer.com/article/10.1007/s11214-014-0115-x and https://link.springer.com/article/10.1007/s11214-014-0096-9, respectively. The DSP and SCM data product guides can be found at https://lasp.colorado.edu/mms/sdc/public/datasets/fields/.

The Fast Plasma Instrument (FPI) usually Operates in Fast Survey (FS) Mode in the MMS Region Of Interest (ROI) for the current Mission Phase. Data are taken at Burst (30/150 ms for DES/DIS) Resolution are aggregated onboard and made available at Survey (4.5 s) Resolution in this Mode. Planning around Calibration Activities, avoidance of Earth Radiation Belts, etc., when possible, FPI usually Operates in Slow Survey (SS) Mode outside of ROI, and then only the 60 s Resolution Survey Data are available. This Product contains Results from integrating the standard Moments of Phase Space Distributions formed from the indicated Data Type (DES/DIS Burst, FS or SS). For Convenience, some additional Parameters are included to augment those most commonly found in a Moments Product of this sort, plus Time Stamps and other Annotation characterizing the State of the Instrument System at the indicated Time.

340 Global export shipment records of Mms Zinc Oxide with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The CAMEX-3 Meteorological Measurement System (MMS) dataset consists of atmospheric parameters measured by the MMS instruments aboard NASA DC-8 aircraft. The MMS consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The MMS dataset consits of atmospheric pressure, temperature, and wind measurements collected during the CAMEX-3 mission to study hurricanes over the land and ocean in the U.S Gulf of Mexico, Caribbean, and Western Atlantic Ocean.