The Level 2 ECMWF SMOS Auxiliary data product, openly available to all users, contains ECMWF data on the ISEA 4-9 DGG corresponding to SMOS half-orbit. It is used by both the ocean salinity and soil moisture operational processors to store the geophysical parameters from ECMWF forecasts. Access to other SMOS Level 1 and Level 2 "dynamic" and "static" auxiliary datasets is restricted to Cal/Val users. The detailed content of the SMOS Auxiliary Data Files (ADF) is described in the Products Specification documents available in the Resources section below.

EarthCARE data products encompass essential supporting auxiliary (AUX) and orbit data critical for accurate sensor data processing and analysis. AUX data includes datasets used outside the primary Space Segment stream to apply corrections to sensor data. This comprises previously derived calibration parameters, ground control data, and digital elevation data. Calibration parameters ensure measurement accuracy, while ground control data aids in data validation, and digital elevation data enables precise geolocation. Orbit data consists of on-board satellite data and orbital information. For EarthCARE, this includes Reconstructed Orbit and Attitude Files, which provide detailed satellite positioning and orientation information. The integration of AUX and orbit data into EarthCARE's data processing workflow ensures the production of high-quality, scientifically valuable datasets for atmospheric research, climate modelling, and environmental monitoring.

This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected environmental parameters. The data were extracted from the closest grid point to the average lidar buoy position. The data were obtained from the public domain and references to the originators/owners are provided under each instrument.

Auxiliary information for pixel cloud product indicating to which water bodies the pixels are assigned in river and lake products. Also includes height-constrained pixel geolocation after reach- or lake-scale averaging. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.

A large number of auxiliary datasets are available from each Cluster spacecraft, together with support datasets generated through the EU FP7 projects ECLAT and MAARBLE.All auxiliary, ECLAT and MAARBLE datasets are available on the ESA Cluster Science Archive at https://csa.esac.esa.int/ Key auxiliary datasets for Cluster 1 (similar for all other Cluster spacecraft)

This collection contains the Ocean Surface Topography Mission (OSTM)/Jason-2 Auxiliary data files. These auxiliary data files are used to generate Level-2 products. They include both static tabular data files and dynamic files which change/grow over time. Auxiliary files are produced outside of OSTM but are used in the production of Level-2 products. Auxiliary data, which are produced by the European Center for Medium range Weather Forecasting (ECMWF), are restricted by ECMWF to the project team. Other data/products associated with OSTM/Jason-2 are also available, including Level-2 Geophysical Data Records (GDRs), ancillary data files used to generate Level-2 products, quality reports from the near real-time altimetry validation system (NRTAVS), orbit information of JASON-2 satellite and telemetry data.

Auxiliary data and codes, example data for scPlant (https://github.com/compbioNJU/scPlant).

China Number of Employee: Mining Auxiliary Activity data was reported at 264.000 Person th in Dec 2024. This records a decrease from the previous number of 265.000 Person th for Nov 2024. China Number of Employee: Mining Auxiliary Activity data is updated monthly, averaging 268.000 Person th from Jan 2012 (Median) to Dec 2024, with 121 observations. The data reached an all-time high of 386.750 Person th in Dec 2012 and a record low of 242.000 Person th in May 2024. China Number of Employee: Mining Auxiliary Activity data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BGG: Mining Professional and Auxiliary Activity.

This Biomass collection for the Commissioning Team contains auxiliary data products. Learn more about the commissioning phase data in the following documents: Summary of Biomass Commissioning Phase Activities Biomass Acquisition Masks

Cluster Auxiliary Parameters are produced by the Cluster Hungarian Data Center in Budapest. These data are the primary orbit product supplied to users by the Cluster Active Archive. The data contain Position, Velocity and Attitude of four Cluster spacecraft.

    For additional details on the methodology behind these data see:

    Robert P., et al., "Tetrahedron Geometric Factors", p. 328, Analysis Methods of Multi-Spacecraft Data, ed. G. Paschmann and P. Daly, 1998, ESA and the International Space Institute, Bern.

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This repository holds auxiliary data files needed for the replication "Augmenting the availability of historical GDP per capita estimates through machine learning". All further information and data is provided in the GitHub repository. The data included in this auxiliary folder is based on the work by Laouenan et al. (https://www.nature.com/articles/s41597-022-01369-4).

This collection contains Jason-3 Auxiliary data files. These auxiliary data files are used to generate Level-2 products. They include both static tabular data files and dynamic files which change/grow over time. Auxiliary files are used in product development. Jason-3 Auxiliary data, which are produced by the European Center for Medium range Weather Forecasting (ECMWF), are restricted by ECMWF to the project team.

This dataset contains the first provisional release of the MEaSUREs-funded Earth Science Data Record (ESDR) of ancillary data corresponding to the QuikSCAT Level 2 (L2) data products, interpolated in space and time to the scatterometer observations. These ancillary files include: i) ocean surface wind fields from ERA-5 short-term forecasts (removed from the analyses times to reduce impacts from assimilated scatterometer retrievals at the beginning of the forecast); ii) collocated in space and time estimations of precipitation from the GPM IMERG product; iii) estimation of the surface currents from the GlobeCurrent project. These auxiliary fields are included to complement the scatterometer observation fields and to help in the evaluation process. The primary purpose of this release is for provisional evaluation to be provided by the NASA International Ocean Vector Winds Science Team (IOVWST). As such, this release is not intended for science-quality research, and is subject to future revision based on feedback provided by the IOVWST. The modeled ocean surface auxiliary fields are provided on a non-uniform grid within the native L2 QuikSCAT sampled locations at 12.5 km pixel resolution. Each file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit.

China Mining Auxiliary Activity: Cost of Sales data was reported at 165,150.000 RMB mn in 2018. This records an increase from the previous number of 149,757.000 RMB mn for 2017. China Mining Auxiliary Activity: Cost of Sales data is updated yearly, averaging 165,150.000 RMB mn from Dec 2012 (Median) to 2018, with 7 observations. The data reached an all-time high of 191,795.000 RMB mn in 2014 and a record low of 149,757.000 RMB mn in 2017. China Mining Auxiliary Activity: Cost of Sales data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BGG: Mining Professional and Auxiliary Activity.

Recent work in survey research has made progress in estimating models involving selection bias in a particularly difficult circumstance—all non-respondents are unit non-responders, meaning that no data are available for them. These models are reasonably successful in circumstances where the dependent variable of interest is continuous, but they are less practical empirically when it is latent and only discrete outcomes or choices are observed. I develop a method in this article to estimate these models that is much more practical in terms of estimation. The model uses a small amount of auxiliary information to estimate the selection equation parameters, which are then held fixed while estimating the equation of interest parameters in a maximum-likelihood setting. After presenting Monte Carlo analyses to support the model, I apply the technique to a substantive problem: Which interest groups are likely to be involved in support of potential initiatives to achieve their policy goals?

The global textile auxiliary market size is estimated to reach a value of USD 11,058.6 million in 2024. Recording a 5.2% CAGR in the assessment period, the sector is anticipated to reach USD 18,359.4 million by 2034.

Attributes	Description
Estimated Global Textile Auxiliary Market Size (2024E)	USD 11,058.6 million
Projected Global Textile Auxiliary Market Value (2034F)	USD 18,359.4 million
Value-based CAGR (2024 to 2034)	5.2%

Country-wise Insights

Countries	CAGR 2024 to 2034
United States	2.9%
Germany	2.4%
Spain	3.9%
India	7.7%
China	5.8%

Category-wise Insights

Segment	Pre-treatment Agents (Product Type)
Value Share (2024)	27.3%

Segment	Apparel (End-use)
Value Share (2024)	51.4%

According to Cognitive Market Research, the global Auxiliary Relay market size is USD 12514.20 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 5002.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 3754.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 2878.27 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.5% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 625.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 250.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
The General Auxiliary Relays held the highest Auxiliary Relay market revenue share in 2024.

Market Dynamics of Auxiliary Relay Market

Key Drivers for Auxiliary Relay Market

Increasing Complexity in Electrical Systems

Increasing complexity in electrical systems is a significant driver of the Auxiliary Relay Market. As modern machinery and equipment become more advanced and interconnected, there is a growing need for auxiliary relays to manage and protect these intricate systems. Auxiliary relays play a crucial role in controlling and regulating electrical circuits, providing functions such as overload protection, circuit isolation, and fault detection. With the rise of automation, renewable energy integration, and smart grid technologies, the demand for auxiliary relays continues to grow. These relays offer the flexibility and versatility required to adapt to diverse applications and evolving industry standards, making them indispensable components in ensuring the safe and efficient operation of complex electrical systems across various sectors, including manufacturing, energy, transportation, and infrastructure.

Growing Emphasis on Energy Efficiency

The growing emphasis on energy efficiency is a significant driver of the Auxiliary Relay Market. As industries and consumers seek to reduce energy consumption and minimize environmental impact, auxiliary relays play a crucial role in optimizing energy usage in electrical systems. These relays enable precise control and management of power distribution, allowing for more efficient operation of equipment and machinery. By incorporating features such as load shedding, voltage regulation, and power factor correction, auxiliary relays help minimize energy wastage and improve overall system efficiency. Additionally, in applications such as HVAC systems, lighting controls, and renewable energy installations, auxiliary relays facilitate the implementation of energy-saving measures, further driving their adoption. As energy efficiency regulations become more stringent and sustainability initiatives gain momentum, the demand for auxiliary relays continues to grow in various industries worldwide.

Restraint Factor for the Auxiliary Relay Market

High Initial Investment

The high initial investment required is a significant restraint factor in the Auxiliary Relay Market. Implementing auxiliary relay systems involves substantial upfront costs, including the purchase of equipment, installation expenses, and integration with existing electrical systems. For many potential buyers, especially small and medium-sized businesses, these initial investment requirements can pose a barrier to entry. Additionally, the need for specialized expertise and technical support further adds to the initial investment burden. As a result, some end-users may delay or forego investment in auxiliary relay systems, opting for alternative solutions or deferring upgrades. Addressing this restraint requires auxiliary relay manufacturers and suppliers to offer cost-effective solutions, flexible financing options, and comprehensive support services to mitigate the financial challenges associated with initial investment and promote market adoption.

Impact of Covid-19 on the Auxiliary Relay Market

The COVID-19 pandemic had a mixed impact...

The USDA UV-B Monitoring and Research Program is a program of the U.S. Department of Agriculture’s Cooperative State Research, Education and Extension Service (CSREES). The program was initiated in 1992, through a grant to Colorado State University, to provide information on the geographical distribution and temporal trends of UVB (ultraviolet -B) radiation in the United States. The SGP ARM site is part of the CSREES’s climatological network. All sites are instrumented with both UV and Visible MFRSR shadowband radiometers and broadband UV-B meters. For more details, see the External Data Center web page.

Table S1, Table S2 and Table S3 for "Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR" manuscript