This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Polystyrene (PS) is a synthetic polymer and thermoplastic. Polystyrene insulation is made from Expanded (EPS) or Extruded Polystyrene (XPS). It has a low thermal conductivity (0.03-0.038 W/(m·K)) and is a lightweight material.PS insulation is made by polymerising styrene monomers in polystyrene before moulding it (EPS) or extruding it (XPS) into rigid foam panels.PS insulation is widely used in the construction industry. EPS is used in walls and on roofs that do not require stepping onto. XPS, with its increased compressive strengths, can be stepped upon and is therefore more common on roofs.

2555 Global import shipment records of Eps with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

China Listed Company: EPS: Education data was reported at -0.139 RMB in 2023. This records a decrease from the previous number of -0.110 RMB for 2022. China Listed Company: EPS: Education data is updated yearly, averaging 0.137 RMB from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 0.504 RMB in 2018 and a record low of -0.373 RMB in 2021. China Listed Company: EPS: Education data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Earning per Share (EPS).

China Listed Company: EPS: Environmental Protection data was reported at 0.045 RMB in 2023. This records an increase from the previous number of 0.025 RMB for 2022. China Listed Company: EPS: Environmental Protection data is updated yearly, averaging 0.351 RMB from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 0.504 RMB in 2014 and a record low of 0.025 RMB in 2022. China Listed Company: EPS: Environmental Protection data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Earning per Share (EPS).

China Listed Company: EPS: Utility data was reported at 0.389 RMB in 2023. This records an increase from the previous number of 0.246 RMB for 2022. China Listed Company: EPS: Utility data is updated yearly, averaging 0.300 RMB from Dec 2001 (Median) to 2023, with 22 observations. The data reached an all-time high of 0.452 RMB in 2014 and a record low of -0.028 RMB in 2008. China Listed Company: EPS: Utility data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Earning per Share (EPS).

Dicker Data reported AUD0.24 in EPS Earnings Per Share for its fiscal semester ending in December of 2024. Data for Dicker Data | DDR - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Abstract ======== This data set consists of the MESSENGER Energetic Particle and Plasma Spectrometer (EPPS) advanced data products, also known as DDR/DAPs. The system encompasses 2 instrument subsystems - the Energetic Particle Spectrometer (EPS) and the Fast Imaging Plasma Spectrometer (FIPS). This data set contains EPS instrument data. EPS covers the energy range of 25 to > 500 keV for electrons, and 10 keV/nucleon to ~3 MeV total energy for ions. There is one DDR data product for EPS

Output from the European Center for Medium range Weather Forecasting (ECMWF) Ensemble Prediction System (EPS). For each day, there is a 15-day forecast initialized at 00 UTC. Forecast output is available at one-degree resolution daily through the 15-day period. The output is over the DYNAMO domain.

Data#3 reported AUD0.14 in EPS Earnings Per Share for its fiscal semester ending in December of 2024. Data for Data#3 | DTL - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Deutsche Bank reported EUR0.53 in EPS Earnings Per Share for its fiscal quarter ending in December of 2024. Data for Deutsche Bank | DB - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Glacier Bancorp reported $0.48 in EPS Earnings Per Share for its fiscal quarter ending in March of 2025. Data for Glacier Bancorp | GBCI - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Post reported $1.41 in EPS Earnings Per Share for its fiscal quarter ending in March of 2025. Data for Post | POST - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Builders Firstsource reported $1.51 in EPS Earnings Per Share for its fiscal quarter ending in March of 2025. Data for Builders Firstsource | BLDR - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Regions Financial reported $0.6 in EPS Earnings Per Share for its fiscal quarter ending in June of 2025. Data for Regions Financial | RF - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

The GOES 5 EPS data set contains various parameters at 3 s time resolution. Within the data files is the time given as seconds of the month where the date is given in the filename, a flag word that provides information on the data and satellite command state in a flagword, and the measured counts for a subset of available channels, which are indicated by the flagword.

This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-A satellite.

IASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry.

This data set contains both the original processed data and reprocessed archive. in the following directories based on processing algorithm v0-0N: Original processing years 2011-2012 v3-6N: Original processing years 2007
v4-0N: Original processing years 2007-2010 v5-0N: Original processing years 2010
v5-1N: Original processing years 2010-2011
v6-2N: Original processing years 2012-2014 v6-5N: Original processing years 2013 v7-0N: Original processing years 2013-2014 v7-1N: Original processing years 2014-2015 v7-2N: Original processing years 2015 v7-3N: Original processing years 2015-2017 v7-4N: Original processing years 2017
v8-0N: Original processing years 2017-2018 v8-0R: Reprocessed Archive years 2007-2017 v8-2N: Original processing years 2019 - being acquired on an ongoing basis

This data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only

• The Science and Technology Facilities Council (STFC)
• The National Centre for Earth Observation (NCEO)
• The National Centre for Atmospheric Science (NCAS)

If you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly.

China Listed Company: EPS: Media data was reported at 0.369 RMB in 2023. This records an increase from the previous number of 0.086 RMB for 2022. China Listed Company: EPS: Media data is updated yearly, averaging 0.216 RMB from Dec 2001 (Median) to 2023, with 22 observations. The data reached an all-time high of 0.470 RMB in 2015 and a record low of -0.143 RMB in 2020. China Listed Company: EPS: Media data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Earning per Share (EPS).

This is the research data related to the manuscript titled: Extracellular Polymeric Substances of Aerobic Granular Sludge. The objective of the research was to address key questions related to the knowledge gaps in the extracellular polymeric substances of aerobic granular sludge through studies on the EPS components and the influence of seawater on the EPS and the microbial community . This was performed by analysis of full-scale granular sludge (Chapter 1) and lab-scale granular sludge (Chapter 2- 6). The datasets are divided into 4 groups: 1) Fluorescent signals obtained for the anaylsis of polysaccharides, proteins, sGAGs, NulOs. 2) Lectin Microarray. 3) Scripts to generate the data. 4) Metaproteomics.

Huntington Bancshares reported $0.34 in EPS Earnings Per Share for its fiscal quarter ending in June of 2025. Data for Huntington Bancshares | HBAN - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

It is expected that clinically obtainable fluids that are proximal to organs contain a repertoire of secreted proteins and shed cells reflective of the physiological state of that tissue and thus represent potential sources for biomarker discovery, investigation of tissue-specific biology, and assay development. The prostate gland secretes many proteins into a prostatic fluid that combines with seminal vesicle fluids to promote sperm activation and function. Proximal fluids of the prostate that can be collected clinically are seminal plasma and expressed prostatic secretion (EPS) fluids. In the current study, MudPIT-based proteomics was applied to EPS obtained from nine men with prostate cancer and resulted in the confident identification of 916 unique proteins. Systematic bioinformatics analyses using publicly available microarray data of 21 human tissues (Human Gene Atlas), the Human Protein Atlas database, and other published proteomics data of shed/secreted proteins were performed to systematically analyze this comprehensive proteome. Therefore, we believe this data will be a valuable resource for the research community to study prostate biology and potentially assist in the identification of novel prostate cancer biomarkers. To further streamline this process, the entire data set was deposited to the Tranche repository for use by other researchers.