Underlying dataset for the regional analysis in the industry dashboard, showing by industry and subject studied the movement of graduates from region of Higher Education provider to current region.

Data showing the regional movement of graduates before, during and after study.

DescriptionUnderlying data file for graduate industry tables up to the 3-digit SIC code level. CoverageGraduate populations of UK domiciled graduates of English Higher Education providers, one, three, five and ten years after graduation (YAG), 2021/22 tax year. File formats and conventionsFormatFiles are Comma Separated Value (CSV)ConventionsEmployment outcome percentages are rounded to the nearest 0.1%All populations are rounded to the nearest 5 full-person equivalent (FPE) individualsc = data has been suppressed due to small numbers. z = there is no result (N/A)

DescriptionUnderlying data file for full cycle movement section of LEO: Graduate and postgraduate outcomes publicationCoverageEmployment and earnings outcomes for UK domiciled graduates of English Higher Education providers, one, three, five and ten years after graduation (YAG), 2015/16 to 2021/22 tax years.File formats and conventionsFormatFiles are Comma Separated Value (CSV)ConventionsEarnings figures are rounded to the nearest £100Employment outcome percentages are rounded to the nearest 0.1%All populations are rounded to the nearest 5 full-person equivalent (FPE) individualsc = data has been suppressed due to small numbers. z = there is no result (N/A)

Data compiled using the Longitudinal Education Outcomes (LEO) database from Department for Education that links administrative education data from early years through to higher education from the Department for Education (DfE) and the Higher Education Statistics Agency (HESA) with employment, benefits and earnings data from the Department for Work and Pensions (DWP) and Her Majesty's Revenue and Customs (HMRC). It does not include students who were home schooled.

j2moreno/leo-training-data dataset hosted on Hugging Face and contributed by the HF Datasets community

Measurements from the LEO station off the Atlantic Coast of New Jersey in 2001.

The primary dataset for the LEO graduate and postgraduate outcomes publication, containing employment outcomes and earnings of graduates by qualification level, subject studied and graduate characteristics.

Comprehensive dataset containing 11 verified Leo locations in United States with complete contact information, ratings, reviews, and location data.

New Leo BB Data

## Overview

New Leo BB Data is a dataset for object detection tasks - it contains Animals annotations for 3,344 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

9 United States import shipment records of Leo mobile with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

Metadata and data derived from Leo Ames Papers. A collection of materials including poster designs, working drafts, correspondence, and office files from Leo Ames's time as the University of Idaho's creative director and head of publications.

LEO SATELLITE GLOBAL FIRE DATA

NASA's Fire Information for Resource Management System

NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE) system

VIIRS

• The Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m thermal anomalies / active fire product provides data from the VIIRS sensor aboard the joint NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) and NOAA-20 satellites. The 375 m data complements Moderate Resolution Imaging Spectroradiometer (MODIS) fire detection; they both show good agreement in hotspot detection but the improved spatial resolution of the 375 m data provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375 m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity.

MODIS

• The Moderate Resolution Imaging Spectroradiometer (MODIS) is a payload imaging sensor that was launched into Earth orbit by NASA in 1999 aboard the Terra (EOS AM) satellite and in 2002 aoard the Aqua (EOS PM) satellite. Please refer to the Near Real-Time Data FAQ section for more information about MODIS.

Acknowledgements

• The VIIRS sensor aboard the Suomi NPP satellite, crosses the equator at approximately 13:30 PM (ascending node) and 1:30 AM (descending node).
• The VIIRS sensor aboard the NOAA-20 satellite, crosses the equator approximately 50 minutes prior to Suomi NPP, at approximately 12:40 PM (ascending node) and 12:40 AM (descending node).
• The 3,040 km VIIRS swath enables ~15% image overlap between consecutive orbits at the equator, thereby providing full global coverage every 12 hours and mid-latitudes will experience 3-4 looks a day.
• VIIRS has 5 high resolution Imagery channels (I-bands), 16 moderate resolution channels (M-bands) and a Day/Night Band (DNB).
• The VIIRS detectors have a constant angular resolution that results in an increasing pixel footprint size as the scan is further from nadir (see figure 1 below). This means the actual area of each scan has the shape of a bow-tie, as consecutive scans overlap away from nadir. The bow-tie effect is reduced during processing through a combination of aggregation and deletion of overlapping pixels.

HOW

• Satellites take a ‘snapshot’ of events as they pass over Earth. Each hotspot/active fire detection represents the center of a pixel flagged as containing one or more fires or other thermal anomalies (such as volcanoes). For MODIS the pixel is approximately 1 km and for VIIRS the pixel is approximately 375 m. The “location” is the center point of the pixel (not necessarily the coordinates of the actual fire). The actual pixel size varies with the scan and track. The fire is often less than the size of the pixel. We are not able to determine the exact fire size; what we do know is that at least one fire is located within the flagged pixel. Sometimes you will see several active fires in a line. This generally represents a fire front.

• The FIRMS fire map is updated every 5 minutes, but please note that the data are derived from instruments onboard polar orbiting satellites (MODIS aboard Terra and Aqua and VIIRS aboard Suomi NPP and NOAA-20), and generally these have 2 overpasses a day (more towards the poles. FIRMS generally makes the data available within 3 hours of a satellite observation (on a best effort basis).

• Fire detection is performed using a contextual algorithm that exploits the strong emission of mid-infrared radiation from fires. The MODIS algorithm examines each pixel of the MODIS swath, and ultimately assigns to each pixel of the following classes: missing data, cloud, water, non-fire, fire, or unknown.

NOTE

• Standard data products are an internally consistent, well-calibrated record of Earth’s geophysical properties to support science. Near real-time (NRT) fire products are generated within approximately 3 hours of a satellite observation to meet the needs of the applications community. To facilitate this, a number of changes have been made to the standard processing approach: Data downlinked from the satellite are sorted, processed, and delivered in an expedited manner (as Session-based Production Data Sets).

• One key difference between the MODIS/Aqua NRT and Standard (Science Quality) Fire Products is the accuracy of the Fire locations (positions or geolocation). Unlike MODIS/Terra, VIIRS/Suomi NPP, and VIIRS/NOAA-20, the position of the Aqua satellite is not as well known when the NRT Fire Product is produced. Most of the time, the additional error introduced in the reported Fire location is small (< 100 m), but in some situations this position error may be large (several kilometers)

STUDY

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