Google data search exercises can be used to practice finding data or statistics on a topic of interest, including using Google's own internal tools and by using advanced operators.

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This dataset contains the names and basic information about companies that were contacted in the process of a research which aimed to identify open data companies in emerging markets, specifically in Latin America, Southeast Asia, Africa, as well as India and Russia. The data was collected by several vendors and consultants and was not validated independently by the World Bank staff. Data was collected over a short period of 4-6 weeks in the spring of 2014 and represents data-centric companies that vendors/consultants were able to identify in that timeframe.

The King County Groundwater Protection Program maintains a database of groundwater wells, water quality and water level sampling data. Users may search the database using Quick or Advanced Search OR use King County Groundwater iMap map set. Search for King County well data by Well ID, Local Number, DoE Well Tag, or Parcel Number.

Our proprietary People Data is a mobile user dataset that connects anonymous IDs to a wide range of attributes, including demographics, device ownership, audience segments, key locations, and more. This rich dataset allows our partner brands to gain a comprehensive view of consumers based on their personas, enabling them to derive actionable insights swiftly.

People Data Graph

• Record Count: 900 Million
• Capturing Frequency: Once per Event
• Delivering Frequency: Once per Month
• Updated: Monthly

People Data

Reach Our extensive data reach covers a variety of categories, encompassing user demographics, Mobile Advertising IDs (MAID), device details, locations, affluence, interests, traveled countries, and more. Data Export Methodology We dynamically collect and provide the most updated data and insights through the best-suited method at appropriate intervals, whether daily, weekly, monthly, or quarterly.

Business Needs

Our People Data caters to various business needs, offering valuable insights for consumer analysis, data enrichment, sales forecasting, and retail analytics, empowering brands to make informed decisions and optimize their strategies.

Relevancy ranking is an important component of making a data repository's search system responsive to data seekers’ needs. The Research Data Alliance (RDA) Data Discovery Paradigms Interest Group (https://www.rd-alliance.org/groups/data-discovery-paradigms-ig) is a collaborative activity within our data community which aims to improve data searchability. This survey is intended to gather information about the current practices and lessons learnt by data repositories in implementing relevancy ranking in search systems. We expect that analysis of the survey results will:

* Help data repositories choose appropriate technologies when implementing or improving their search functionality;
* Provide a means for sharing experiences in improving relevancy ranking;
* Capture the aspirations, successes and challenges encountered from research data repository managers;
* Help the Data Discovery Paradigms Interest group align future activities on data search improvement with the interests of data search service providers.

For the above the purpose, we designed a survey instrument to answer the following topics (the numbers in brackets indicate the number of questions asked per topic):

* What are characteristics of each repositories (5)?
* What are system configurations (e.g., ranking model, index methods, query methods) (7)?
* Evaluation methods and benchmark (10)
  ** What has been evaluated?
  ** What evaluation methods have been applied?
  ** How was the evaluation collection built?
  ** What is approximate performance range of search systems with certain configuration?
* What methods have been used to boost searchability to web search engines (e.g., Google, Bing) (2)
* What other technologies or system configurations have been employed (5)?
* Wish list for future activities for the RDA relevance task force (2)?

This collection consists of survey instrument, survey responses and survey report.

This statistic shows the importance of big data search technologies in organizations worldwide as of 2019. Around ** percent of respondents stated that Elasticsearch was critical or very important for their organization as of 2019.

DASH Search is a centralized system for searching and discovering digital scientific assets across NCAR and UCAR Community Programs. Examples of digital assets available through the DASH Search system include but are not limited to datasets, publications (text, images, audio, video), software applications, and model codes. If you would like to make your assets discoverable through DASH Search, please use the DASH Search Request to Submit form.

The SWITCH-ON data catalogue provides metadata and links to water-relevant open datasets, to easily inspect and download data from many various data providers.

This web-based search tool enables you to: Construct a search query - on relevant (combinations of) metadata characteristics like: keyword, free text, geospatial extent - to look for required Open Datasets. Display the search results and inspect metadata of the datasets found, preview and/or download them. Post-filter the resources found based on metadata characteristics.

The Petroleum Recovery Research Center (PRRC), the only research center of its kind in New Mexico, is a scientific research organization dedicated to solving problems related to the oil and gas industry.

This interface joins the Kepler Target Catalog (KTC) with other tables to allow users to access the Kepler data archive. Observed Kepler targets are included with their associated data set names. Since most of the Kepler light curve data is still proprietary, public data can be found by searching for release dates earlier than todays date.

The Japan Agency for Marine-Earth Science and Technology (JAMSTEC) has performed the Ocean and Earth observations for more than 25 years. Those observation data are disseminated through JAMSTEC?s web sites. ?JAMSTEC Data Search Portal? helps users to find data and samples on its web sites and databases. This service, which uses ArcIMS as a GIS server, provides a user with a list of data and samples in the area of interest and links to the relevant data publication pages.

This interface joins the Kepler Target Catalog (KTC) with other tables to allow users to access the Kepler data archive. Observed Kepler targets are included with their associated data set names. Since most of the Kepler light curve data is still proprietary, public data can be found by searching for release dates earlier than todays date.

Replication files for the article "IPD Meta-Analysis of Complex Survey Data: A Simulation Study"

(Note: The sum equals a higher number than the final stakeholder total due to several individuals who appeared in more than one of the four searches. The total number of stakeholders was reached after removing duplicate individuals.)

NOAA OneStop Data Search Platform

Launched in 2009, the Kepler Mission is surveying a region of our galaxy to determine what fraction of stars in our galaxy have planets and measure the size distribution of those exoplanets. Although Kepler completed its primary mission to determine the fraction of stars that have planets in 2013, it is continuing the search, using a more limited survey mode, under the new name K2. The K2 Data Search Service provides the main catalog for all K2 data.

🇺🇸 미국

🇺🇸 미국 English This interface joins the Kepler Target Catalog (KTC) with other tables to allow users to access the Kepler data archive. Observed Kepler targets are included with their associated data set names. Since most of the Kepler light curve data is still proprietary, public data can be found by searching for release dates earlier than todays date.

The World Bank Pilot Study for Crowd-Sourced Price Data Collection through Mobile Phones combined the need for high-frequency data, recent developments in information and communication technologies, and power of crowd. Crowd-sourced data are data collected and reported by the user community using information and communication technologies. The objective of the pilot was to study the feasibility of crowd-sourced price data collection. Non-professional price collectors used personal computers and mobile phones for collecting data and entering it in a multilingual web microsite developed for the pilot. Price data was collected for thirty tightly specified food commodity items on a monthly basis for approximately six months in eight pilot countries. Non-professional price collectors received compensation in the form of airtime rewards.