Dataset

This dataset was created by Johar M. Ashfaque

Contents

Common repository for example datasets used by Vega-related projects

zhourax977/VEGA dataset hosted on Hugging Face and contributed by the HF Datasets community

Here are a few use cases for this project:

1. Elevator Maintenance: The "Vega" computer vision model can be used by technicians to identify and classify different types of lifts or lift parts, such as lifts and streaks, during regular maintenance. By recognizing specific aspects, it can help predict potential issues and improve preventive measures.

2. Construction and Architecture: The model can be used to correctly identify lifts and streaks in the construction of new buildings. This information can assist in the planning phase, ensuring that the right equipment is installed correctly.

3. Accessibility Analysis: The model can help in analyzing environments for accessibility. It can scan an area and identify where lifts are located, helping to determine how accessible a place is for individuals with physical disabilities.

4. Warehouse Management: The "Vega" model can be employed to identify and track the usage of lifts in warehouses. Recognizing distinct usage patterns can help in optimizing lift usage and warehouse operations.

5. Real Estate Industry: It can be used to quickly evaluate and catalogue the types and conditions of lifts in residential or commercial properties. This could aid in property assessment and inspection processes.

About this dataset

Context

The dataset tabulates the Vega population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Vega across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Vega was 884, a 1.38% increase year-by-year from 2022. Previously, in 2022, Vega population was 872, an increase of 1.75% compared to a population of 857 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Vega decreased by 44. In this period, the peak population was 929 in the year 2018. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Vega is shown in this column.
• Year on Year Change: This column displays the change in Vega population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Vega Population by Year. You can refer the same here

Joshua Vega

## Overview

Joshua Vega is a dataset for object detection tasks - it contains Prueba annotations for 940 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).

About this dataset

Context

The dataset tabulates the population of Vega by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Vega across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 52.54% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Vega is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Vega total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Vega Population by Race & Ethnicity. You can refer the same here

ElMater06/Vega-Voice dataset hosted on Hugging Face and contributed by the HF Datasets community

This data set includes the original Vega 2 MISCHA data delivery to PDS. The data were provided by Magda Delva of the MISCHA instrument team. The data are provided in ASCII format as well as the original IBM/PC binary format in which they were delivered to PDS. This data set was created for purposes of 'safing' these data. Significant concerns exist with regards to data quality. Instrument offsets (zero-levels) were highly unstable after 21 Feb 1986. In addition the instrument failed just prior to closest approach to comet Halley.

causalyte/causalyte-vega-core-v1.0 dataset hosted on Hugging Face and contributed by the HF Datasets community

ElMater06/vega-tts dataset hosted on Hugging Face and contributed by the HF Datasets community

This data set includes the original Vega 1 MISCHA data delivery to PDS. The data were provided by Magda Delva of the MISCHA instrument team. The data are provided in ASCII format as well as the original IBM/PC binary format in which they were delivered to PDS. This data set was created for purposes of 'safing' these data. Significant concerns exist with regards to data quality. Specifically one of the instrument sensors saturated near closest approach to the comet Halley.

This dataset is about books. It has 1 row and is filtered where the author is Gustavo de la Vega Alvarez. It features 7 columns including author, publication date, language, and book publisher.

The PUMA data were submitted by IKI in two unique forms, a GROUPS FITS file and undocumented binary file. In one original form, the data in this set were received as 4,027 separate FITS files, one for each spectrum. These files have been reformatted and combined into four tables, one for each of the PUMA instrument operating modes. Within each table, the spectra are in order of original FITS file number. This order is assumed to be chronological, based on time given by the BLISI clock, in sec.

Comprehensive dataset containing 12 verified Vega locations in United States with complete contact information, ratings, reviews, and location data.

The SP-1 experiment on Vega spacecraft was intended for studying the spatial and mass distributions of dust particles in the cometary coma over the mass range 1.e-16 to 1.e-6 g. Covering such a broad mass range was made possible by using sensors of two types, namely, impact plasma and acoustic.

The data from IKI for this dataset were received as two binary files containing data taken in all instrument modes. These files were split into separate files for each mode, preserving the original ordering of the spectra within the table. Spectra in each mode table are arranged chronologically, using TIME of the spectrum on the BLISI clock, in sec.

Encounter Data for Vega-1 included two files: DSFAST17 and Dvega101. These files were submitted by the Univ of Chicago group with hard copy versions of the operating manual and a preprint of results. The following explanation of the contents of the two files is below.

Encounter data for Vega-2 consisted of two files: DSFAST27 and Dvg2CLN1. The data were submitted by the Univ of Chicago group along with hard copy versions of the operating manual and a preprint of the results.

This CODMAC level 3 data set contains radiometric calibrated image data in W/m^2/sr/nm, acquired by the OSIRIS Wide Angle Camera on the Rosetta spacecraft during the CRUISE 5 mission phase, covering the period from 2009-12-14T00:00:00.000 to 2010-05-16T23:59:59.000. The prime objective was commissioning / calibration. Several targets of opportunity were observed, but none of them is identifiable as prime target. This version V2.0 supersedes previous deliveries of the same dataset with the following changes since the last version: Reprocessed dataset after October 2018 PSA/PDS external peer review.