Premier Pts is a company that specializes in providing real-time sports data and analytics to various clients. As a leading provider of sports data, Premier Pts offers a vast array of information, including team and player statistics, game scores, and betting odds.

The company's data collection process involves scraping relevant information from various sports websites, online publications, and official sports organizations. With a strong focus on accuracy and timeliness, Premier Pts ensures that its data is up-to-date and reliable, making it a go-to source for sports enthusiasts, researchers, and businesses alike.

Data obtained from computational DFT calculations on Tetragonal PtS is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files. This structure was obtained from ICSD (Collection code = 31131)

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.

United States Imports: Balances, Sensitivity ≫=5 Cg, W or Without Wgt, & Pts data was reported at 6.474 USD mn in Jan 2025. This records a decrease from the previous number of 13.013 USD mn for Dec 2024. United States Imports: Balances, Sensitivity ≫=5 Cg, W or Without Wgt, & Pts data is updated monthly, averaging 4.667 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 18.845 USD mn in Dec 2023 and a record low of 1.711 USD mn in Jan 2010. United States Imports: Balances, Sensitivity ≫=5 Cg, W or Without Wgt, & Pts data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA129: Imports: by Commodity: 4 Digit HS Code.

United States Exports: Balances, Sensitivity >=5 Cg, W or W, o Wgt, & Pts data was reported at 1.852 USD mn in Jan 2025. This records a decrease from the previous number of 2.115 USD mn for Dec 2024. United States Exports: Balances, Sensitivity >=5 Cg, W or W, o Wgt, & Pts data is updated monthly, averaging 1.299 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 2.814 USD mn in Oct 2024 and a record low of 0.644 USD mn in May 2004. United States Exports: Balances, Sensitivity >=5 Cg, W or W, o Wgt, & Pts data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA021: Exports: by Commodity: 4 Digit HS Code.

Protein-Protein, Genetic, and Chemical Interactions for PTS (Mus musculus) curated by BioGRID (https://thebiogrid.org); DEFINITION: 6-pyruvoyl-tetrahydropterin synthase

This composition appears in the Pt-S region of phase space. It's relative stability is shown in the Pt-S phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)

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

Protein-Protein, Genetic, and Chemical Interactions for PTS (Homo sapiens) curated by BioGRID (https://thebiogrid.org); DEFINITION: 6-pyruvoyltetrahydropterin synthase

This file (SPSS data file) contain information about pediatric trauma patients admitted to PICU during two years period.
purpose of the study is as follows: The study was conducted in the tertiary 12-bed PICU, which admits approximately 500 surgical and medical PICU patients per year. The hospital database was retrospectively reviewed after ethics committee approval was obtained. Patients hospitalized for traumatic injuries in the pediatric intensive care unit (PICU) between 01/09/2018 and 01/12/2020 were included in the study. The patients diagnosed with burn, drowning, firearm injury, and the patients with inadequate laboratory results were not included in the study. Patient demographics, diagnoses, pediatric risk of mortality III-24 score (PRISM), pediatric trauma score (PTS), need for mechanical ventilation, procalcitonin and C-reactive protein, lactate dehydrogenase, Creatinine kinase, white blood cells, platelets, fibrinogen, D-dimer, length of PICU stay, and survival at PICU discharge were retrospectively collected from the hospital database

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://communities.geoplatform.gov/ngda-cadastre/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent years to include all open space public and nonprofit lands and waters. Most are public lands owned in fee (the owner of the property has full and irrevocable ownership of the land); however, permanent and long-term easements, leases, agreements, Congressional (e.g. 'Wilderness Area'), Executive (e.g. 'National Monument'), and administrative designations (e.g. 'Area of Critical Environmental Concern') documented in agency management plans are also included. The PAD-US strives to be a complete inventory of U.S. public land and other protected areas, compiling “best available” data provided by managing agencies and organizations. The PAD-US geodatabase maps and describes areas using thirty-six attributes and five separate feature classes representing the U.S. protected areas network: Fee (ownership parcels), Designation, Easement, Marine, Proclamation and Other Planning Boundaries. An additional Combined feature class includes the full PAD-US inventory to support data management, queries, web mapping services, and analyses. The Feature Class (FeatClass) field in the Combined layer allows users to extract data types as needed. A Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) facilitates the extraction of authoritative federal data provided or recommended by managing agencies from the Combined PAD-US inventory. This PAD-US Version 3.0 dataset includes a variety of updates from the previous Version 2.1 dataset (USGS, 2020, https://doi.org/10.5066/P92QM3NT ), achieving goals to: 1) Annually update and improve spatial data representing the federal estate for PAD-US applications; 2) Update state and local lands data as state data-steward and PAD-US Team resources allow; and 3) Automate data translation efforts to increase PAD-US update efficiency. The following list summarizes the integration of "best available" spatial data to ensure public lands and other protected areas from all jurisdictions are represented in the PAD-US (other data were transferred from PAD-US 2.1). Federal updates - The USGS remains committed to updating federal fee owned lands data and major designation changes in annual PAD-US updates, where authoritative data provided directly by managing agencies are available or alternative data sources are recommended. The following is a list of updates or revisions associated with the federal estate: 1) Major update of the Federal estate (fee ownership parcels, easement interest, and management designations where available), including authoritative data from 8 agencies: Bureau of Land Management (BLM), U.S. Census Bureau (Census Bureau), Department of Defense (DOD), U.S. Fish and Wildlife Service (FWS), National Park Service (NPS), Natural Resources Conservation Service (NRCS), U.S. Forest Service (USFS), and National Oceanic and Atmospheric Administration (NOAA). The federal theme in PAD-US is developed in close collaboration with the Federal Geographic Data Committee (FGDC) Federal Lands Working Group (FLWG, https://communities.geoplatform.gov/ngda-govunits/federal-lands-workgroup/ ). 2) Improved the representation (boundaries and attributes) of the National Park Service, U.S. Forest Service, Bureau of Land Management, and U.S. Fish and Wildlife Service lands, in collaboration with agency data-stewards, in response to feedback from the PAD-US Team and stakeholders. 3) Added a Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) to the PAD-US 3.0 geodatabase to facilitate the extraction (by Data Provider, Dataset Name, and/or Aggregator Source) of authoritative data provided directly (or recommended) by federal managing agencies from the full PAD-US inventory. A summary of the number of records (Frequency) and calculated GIS Acres (vs Documented Acres) associated with features provided by each Aggregator Source is included; however, the number of records may vary from source data as the "State Name" standard is applied to national files. The Feature Class (FeatClass) field in the table and geodatabase describe the data type to highlight overlapping features in the full inventory (e.g. Designation features often overlap Fee features) and to assist users in building queries for applications as needed. 4) Scripted the translation of the Department of Defense, Census Bureau, and Natural Resource Conservation Service source data into the PAD-US format to increase update efficiency. 5) Revised conservation measures (GAP Status Code, IUCN Category) to more accurately represent protected and conserved areas. For example, Fish and Wildlife Service (FWS) Waterfowl Production Area Wetland Easements changed from GAP Status Code 2 to 4 as spatial data currently represents the complete parcel (about 10.54 million acres primarily in North Dakota and South Dakota). Only aliquot parts of these parcels are documented under wetland easement (1.64 million acres). These acreages are provided by the U.S. Fish and Wildlife Service and are referenced in the PAD-US geodatabase Easement feature class 'Comments' field. State updates - The USGS is committed to building capacity in the state data-steward network and the PAD-US Team to increase the frequency of state land updates, as resources allow. The USGS supported efforts to significantly increase state inventory completeness with the integration of local parks data in the PAD-US 2.1, and developed a state-to-PAD-US data translation script during PAD-US 3.0 development to pilot in future updates. Additional efforts are in progress to support the technical and organizational strategies needed to increase the frequency of state updates. The PAD-US 3.0 included major updates to the following three states: 1) California - added or updated state, regional, local, and nonprofit lands data from the California Protected Areas Database (CPAD), managed by GreenInfo Network, and integrated conservation and recreation measure changes following review coordinated by the data-steward with state managing agencies. Developed a data translation Python script (see Process Step 2 Source Data Documentation) in collaboration with the data-steward to increase the accuracy and efficiency of future PAD-US updates from CPAD. 2) Virginia - added or updated state, local, and nonprofit protected areas data (and removed legacy data) from the Virginia Conservation Lands Database, provided by the Virginia Department of Conservation and Recreation's Natural Heritage Program, and integrated conservation and recreation measure changes following review by the data-steward. 3) West Virginia - added or updated state, local, and nonprofit protected areas data provided by the West Virginia University, GIS Technical Center. For more information regarding the PAD-US dataset please visit, https://www.usgs.gov/gapanalysis/PAD-US/. For more information about data aggregation please review the PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual . A version history of PAD-US updates is summarized below (See https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-history for more information): 1) First posted - April 2009 (Version 1.0 - available from the PAD-US: Team pad-us@usgs.gov). 2) Revised - May 2010 (Version 1.1 - available from the PAD-US: Team pad-us@usgs.gov). 3) Revised - April 2011 (Version 1.2 - available from the PAD-US: Team pad-us@usgs.gov). 4) Revised - November 2012 (Version 1.3) https://doi.org/10.5066/F79Z92XD 5) Revised - May 2016 (Version 1.4) https://doi.org/10.5066/F7G73BSZ 6) Revised - September 2018 (Version 2.0) https://doi.org/10.5066/P955KPLE 7) Revised - September 2020 (Version 2.1) https://doi.org/10.5066/P92QM3NT 8) Revised - January 2022 (Version 3.0) https://doi.org/10.5066/P9Q9LQ4B Comparing protected area trends between PAD-US versions is not recommended without consultation with USGS as many changes reflect improvements to agency and organization GIS systems, or conservation and recreation measure classification, rather than actual changes in protected area acquisition on the ground.

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.

FGnet Markup Scheme of the BioID Face Database - The BioID Face Database is being used within the FGnet project of the European Working Group on face and gesture recognition. David Cristinacce and Kola Babalola, PhD students from the department of Imaging Science and Biomedical Engineering at the University of Manchester marked up the images from the BioID Face Database. They selected several additional feature points, which are very useful for facial analysis and gesture recognition.

United States Exports: Weighing Machines & Weighing Machine Weights; Pts data was reported at 28.483 USD mn in Jan 2025. This records a decrease from the previous number of 34.469 USD mn for Dec 2024. United States Exports: Weighing Machines & Weighing Machine Weights; Pts data is updated monthly, averaging 24.004 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 98.156 USD mn in Mar 2024 and a record low of 11.590 USD mn in Feb 2002. United States Exports: Weighing Machines & Weighing Machine Weights; Pts data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA021: Exports: by Commodity: 4 Digit HS Code.

Jan Ial Pts S A Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Pts Group Llc Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Data obtained from computational DFT calculations on Cubic PtS is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.

Pts International Inc Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Pts Co Limited Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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.