The Allocation Management System Data Set

The data in this data environment was collected from the Pasadena, California testbed, namely I-210, SR 134, and nearby arterials. The source of these data is from the National Center for Environmental Information – National Oceanic and Atmospheric Administration. Precipitation information from this data source is used in the cluster analysis.

The Site Averaged AMS Data: 1988 (Betts) Data Set contains the site averaged product of the Portable Automatic Meteorological Station (AMS) data acquired during the 1987-1989 FIFE experiment. Data are in 30 minute time intervals in 1988.

The Association Management Software (AMS) market, currently valued at $159 million in 2025, is projected to experience robust growth, driven by increasing demand for efficient membership management, streamlined communication, and enhanced event planning capabilities among associations of all sizes. The Compound Annual Growth Rate (CAGR) of 10.2% from 2025 to 2033 indicates a significant expansion, fueled by factors such as the growing adoption of cloud-based solutions, increasing digitization within the non-profit sector, and the need for improved data analytics to support strategic decision-making. The market segmentation reveals a strong presence of both large enterprises and SMEs adopting AMS, with cloud-based solutions leading the way due to their scalability, accessibility, and cost-effectiveness. Geographic expansion is anticipated across all regions, with North America and Europe currently holding significant market share, while Asia-Pacific is poised for considerable growth driven by increasing internet penetration and association formation in developing economies. Competitive pressures are expected to intensify, with established players and new entrants vying for market share through innovative features, competitive pricing strategies, and targeted marketing efforts. The success of AMS vendors hinges on their ability to provide comprehensive solutions addressing the specific needs of various association types, sizes, and operational complexities. This includes robust features for membership management, event registration, fundraising, communication tools, and integration with other business systems. Furthermore, the ability to provide excellent customer support, comprehensive training, and seamless data migration will play a crucial role in attracting and retaining clients. As the market matures, a focus on data security, compliance with evolving regulations, and the incorporation of advanced technologies like artificial intelligence and machine learning for predictive analytics will be key differentiators for vendors striving for a competitive advantage. The continued adoption of mobile-friendly interfaces and enhanced reporting capabilities will further contribute to the overall growth of the AMS market.

The primary function of the AMS Market News Program is to compile and disseminate information that will aid producers, consumers, and distributors in the sale and purchase of agricultural related products nationally and internationally.

The data in this repository were collected from the San Diego, California testbed, namely, I-15 from the interchange with SR-78 in the north to the interchange with SR-163 in the south, along the mainline and at the entrance ramps. This file contains information on the field observation and simulation results for speed profile from the Dallas, Texas testbed. The time reported for the speed profiles are between 2:00PM to 8:00PM in increments of 10 minutes.

The Organic INTEGRITY Database is a certified organic operations database that contains up-to-date and accurate information about operations that may and may not sell as organic, deterring fraud, increases supply chain transparency for buyers and sellers, and promotes market visibility for organic operations. Only certified operations can sell, label, or represent products as organic, unless exempt or excluded from certification. The INTEGRITY database improves access to certified organic operation information by giving industry and public users an easier way to search for data with greater precision than the formerly posted Annual Lists of Certified Operations. You can find a certified organic farm or business, or search for an operation with specific characteristics such as:

The status of an operation: Certified, Surrendered, Revoked, or Suspended The scopes for which an operation is certified: Crops, Livestock, Wild Crops, or Handling

The organic commodities and services that operations offer. A new, more structured classification system (sample provided) will help you find more of what you’re looking for and details about the flexible taxonomy can be found in the INTEGRITY Categories and Items list. Resources in this dataset:Resource Title: Organic INTEGRITY Database. File Name: Web Page, url: https://organic.ams.usda.gov/integrity/Default.aspx Find a specific certified organic farm or business, or search for an operation with specific characteristics. Listings come from USDA-Accredited Certifying Agents. Historical Annual Lists of Certified Organic Operations and monthly snapshots of the full data set are available for download on the Data History page. Only certified operations can sell, label or represent products as organic, unless exempt or excluded from certification.

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.

Site averaged product of the Portable Automatic Meteorological Station (AMS) data acquired during the 1987-1989 FIFE experiment. Data are in 30-minute time intervals in 1988.

This dataset contains real-time measurements organic aerosol mass concentration data from the University of Manchester Aerosol Mass Spectrometer (AMS). These data were collected at the University of Exeter, between May and June 2019 as part of the Soot Aerodynamic Size Selection for Optical properties (SASSO) project. Combined with the black carbon mass concentration measured by the Single Particle Soot Photometer (SP2), this information can be used to identify the burning phase (pyrolysis, flaming, or smouldering) in wood combustion experiments. This version 0 dataset contains organic mass concentration. The AMS is operated by University of Manchester scientists.

The data in this data environment was collected from the Pasadena, California testbed, namely I-210, SR 134, and nearby arterials. The source of these data is from the Caltrans – Performance Measurement System (PeMS). Speed data from this dataset were used to derive the freeway travel time. There are three separate text files with one for each operational condition.

1635 Global import shipment records of Ams with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This item contains aerosol mass spectrometer (AMS) data collected as part of CACES in Pittsburgh, PA and Oakland, CA. The data files for each city include PM species (organics, sulfate, nitrate, etc) as well as PMF-resolved organic aerosol factors for traffic, cooking, and other sources.

Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

The datasets in this zip file are in support of FHWA-JPO-16-379, Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs - calibration Report for Phoenix Testbed : Final Report. The compressed zip file totals 1.1 GB in size. The zip file have been uploaded as-is; no further documentation was supplied by NTL, excepted as noted: All located .docx files were converted to .pdf document files which are an archival format. These .pdfs were then added to the zip file alongside the original .docx files. The initial zip file presented to NTL contained uncompressed datasets and duplicative zip files of the files. In order to make the overall size of the this zip file more manageable, duplicative files were deleted. The zip file can be unzipped using any zip compression/decompression software. This zip file contains files in the following formats: .pdf document files which can be read using any pdf reader; .cvs text files which can be read using any text editor; .docx document files which can be read in Microsoft Word and some other word processing programs; .txt text files which can be opened with any text editor; .xlsx spreadsheet files which can be read in Microsoft Excel and some other spreadsheet programs; .cfg computer configuration files; .db database files, which can be opened with many database programs; .rif raster image files, these files may have been created by the Corel Painter image editing application, a proprietary software program, although other image programs may open the files [software requirements]. These files were last accessed in 2017.

AMS (Aerosol Mass Spectrometer) 1Hz Data, chemically speciated submicron non-refractory particulate mass data collected on board the NSF NCAR GV HIAPER during the TI3GER (Technological Innovation Into Iodine and GV Environmental Research) campaign in April 2022.

Data used to support the teaching of the AMS Radar Short course. NOTE: Not for research purposes, please go to the original providers (NOAA and ARM DOE) to download data so the use and metrics can be captured

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 Pesticide Data Program (PDP) is a national pesticide residue monitoring program and produces the most comprehensive pesticide residue database in the U.S. The Monitoring Programs Division administers PDP activities, including the sampling, testing, and reporting of pesticide residues on agricultural commodities in the U.S. food supply, with an emphasis on those commodities highly consumed by infants and children. The program is implemented through cooperation with State agriculture departments and other Federal agencies. PDP data. This dataset is associated with the following publication: Melnyk , L., Z. Wang, Z. Li, and J. Xue. Prioritization of pesticides based on daily dietary exposure potential as determined from the SHEDS model. FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 96: 167-173, (2016).

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.