This dataset shows the work of the Language Access Secret Shopper (LASS) program from 2014 onward (though the LASS program did not run in 2020 and 2021 due to the COVID-19 pandemic). The LASS program assigns secret shoppers to visit more than 200 of New York City’s service centers to assess how well the service centers provide services to customers with Limited English Proficiency (LEP). As used in this dataset, LEP individuals do not speak English as their primary language and have a limited ability to read, speak, write, or understand English. Additional information is available at https://www.nyc.gov/site/operations/performance/language-access-secret-shopper-program.page#:~:text=Started%20in%202010%2C%20LASS%20secret,and%20highlight%20exceptional%20customer%20service.

In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202) and the North American Datum of 1983 (NAD83) National Adjustment of 2011 (NA2011). The airborne data acquisition was conducted under contract by Fugro Earthdata Inc (Fugro) using two fixed wing aircraft from May 29th to June 4th, 2021 at flight altitudes from approximately 2,440 to 3,350 meters above mean sea level. Fugro produced a corridor-wide mosaic using the best possible flight line images with the least amount of smear, the smallest shadow extent, and clearest, most glint-free water possible. The mosaic delivered by Fugro was then further corrected by GCMRC for smear, shadow extent and water clarity as described in the process steps of this metadata and for previous image acquisitions in Durning et al. (2016) and Davis (2012). 47 ground controls points (GCPs) were used to conduct an independent spatial accuracy assessment by GCMRC. The accuracy calculated from the GCPs is reported at 95% confidence as 0.514 m and a Root Mean Square Error (RMSE) of 0.297 m.

Code and Data to replicate all tables and figures in "The Shadow Cabinet in Westminster Systems: Modeling Opposition Agenda Setting in the House of Commons, 1832--1915" by Eggers and Spirling

NIER Forecast: Consumer Price Index: Shadow data was reported at 411.170 1980=100 in 2028. This records an increase from the previous number of 403.020 1980=100 for 2027. NIER Forecast: Consumer Price Index: Shadow data is updated yearly, averaging 279.140 1980=100 from Dec 1980 (Median) to 2028, with 49 observations. The data reached an all-time high of 411.170 1980=100 in 2028 and a record low of 100.000 1980=100 in 1980. NIER Forecast: Consumer Price Index: Shadow data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.I006: Consumer Price Index: Shadow: 1980=100: Forecast: National Institute of Economic Research.

Empirical findings on the effects of national intellectual capital on shadow economy using the pooled mean group estimation.

Awareness leaflet on tank maintenance

Empirical results on the causality relationship between shadow economy and national intellectual capital.

Current list of NSW Shadow Ministers.

Description of variables and measurement.

Provides a core element of SAA'S Identify and Access Control (IAC) functions with respect to the Agency's critical Mainframe platform. In addition to managing identity verifications, authentication, and authorization, provides management and continuous monitoring of security policies.

URL: https://geoscience.data.qld.gov.au/dataset/bh023081

Results of the cointegration test.

Current list of NSW Parliament Shadow Ministers.

As of the first half of fiscal year 2022/2023, the government revenues in Egypt were at roughly 686.8 billion Egyptian pounds (which is comparable to 22.23 billion U.S. dollars). Furthermore, the fiscal revenues amounted to close to1,326 billion U.S. dollars (42.92 billion U.S. dollars). This was higher than the value for FY2020/2021, which amounted to around 1,109 billion Egyptian pounds (35.9 billion U.S. dollars). From 2016/2017 onwards, the revenues generated by the government has been following a positive trend. With taxes being the largest share of government revenue, the Egyptian Ministry of Finance plansto broaden its value-added tax (VAT) base from 70 thousand to 550 thousand enterprises. This move plans to combat the shadow economy and improve financial inclusion. Furthermore, the government expenditure exceeded the revenues generated throughout the period under review, which led to a fiscal deficit.