Description of Open Data available from the Cook County Assessor's Office, with assets newly published in 2025.

(Includes MeSH 2023 and 2024 changes) The MeSH 2025 Update - Replace Report lists Descriptors and Supplementary Concept Records (SCRs) where an existing MeSH term has been replaced by another term. Note that replacement terms are not necessarily new to the vocabulary; terms are sometimes consolidated under or moved to other existing terms. This report includes MeSH changes from previous years, starting from 2023.

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Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Forager.ai's Small Business Contact Data set is a comprehensive collection of over 695M professional profiles. With an unmatched 2x/month refresh rate, we ensure the most current and dynamic data in the industry today. We deliver this data via JSONL flat-files or PostgreSQL database delivery, capturing publicly available information on each profile.

| Volume and Stats |

Every single record refreshed 2x per month, setting industry standards. First-party data curation powering some of the most renowned sales and recruitment platforms. Delivery frequency is hourly (fastest in the industry today). Additional datapoints and linkages available. Delivery formats: JSONL, PostgreSQL, CSV. | Datapoints |

Over 150+ unique datapoints available! Key fields like Current Title, Current Company, Work History, Educational Background, Location, Address, and more. Unique linkage data to other social networks or contact data available. | Use Cases |

Sales Platforms, ABM Vendors, Intent Data Companies, AdTech and more:

Deliver the best end-customer experience with our people feed powering your solution! Be the first to know when someone changes jobs and share that with end-customers. Industry-leading data accuracy. Connect our professional records to your existing database, find new connections to other social networks, and contact data. Hashed records also available for advertising use-cases. Venture Capital and Private Equity:

Track every company and employee with a publicly available profile. Keep track of your portfolio's founders, employees and ex-employees, and be the first to know when they move or start up. Keep an eye on the pulse by following the most influential people in the industries and segments you care about. Provide your portfolio companies with the best data for recruitment and talent sourcing. Review departmental headcount growth of private companies and benchmark their strength against competitors. HR Tech, ATS Platforms, Recruitment Solutions, as well as Executive Search Agencies:

Build products for industry-specific and industry-agnostic candidate recruiting platforms. Track person job changes and immediately refresh profiles to avoid stale data. Identify ideal candidates through work experience and education history. Keep ATS systems and candidate profiles constantly updated. Link data from this dataset into GitHub, LinkedIn, and other social networks. | Delivery Options |

Flat files via S3 or GCP PostgreSQL Shared Database PostgreSQL Managed Database REST API Other options available at request, depending on scale required | Other key features |

Over 120M US Professional Profiles. 150+ Data Fields (available upon request) Free data samples, and evaluation. Tags: Professionals Data, People Data, Work Experience History, Education Data, Employee Data, Workforce Intelligence, Identity Resolution, Talent, Candidate Database, Sales Database, Contact Data, Account Based Marketing, Intent Data.

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Datasets available through the Shared Location Information Platform (SLIP) are uploaded via the data upload tool (DUT). DUT has its own Application Programming Interface (API) that provides the date and time of the last successful upload of active datasets. The API can be called with an HTTP GET request. Data WA uses this API to automatically update the "Data last updated" field for SLIP datasets listed on data.wa.gov.au. The API is currently an open API that requires no authentication or API Key.

This dataset contains data collected from a study examining the impact of external refreshing stimuli, termed "Micro-Refresh," on intellectual work performance. The stimuli involved brief airflow directed around participants' hands during a 45-minute comparison task. Each participant completed the task under two conditions: with and without airflow stimuli. Airflow stimuli were administered for 30 seconds every 5 minutes in the condition with airflow. The study aimed to evaluate the effects of these stimuli on concentration levels, measured using the Concentration Time Ratio (CTR), along with several subjective evaluations.

Forager.ai's Global Job Postings Dataset stands unmatched! We meticulously track every public posting and capture all publicly available information for each record.

| Volume and Stats |

• 732M+ total records, constantly growing.
• 97M+ updates/month, the highest refresh rate in the industry.
• AI-driven data curation — we fuel the world's top sales and recruitment platforms with our robust data.
• Our delivery frequency is the industry's fastest, offering hourly updates.
• Delivery formats: JSONL, CSV.

| Datapoints |

• Key fields: Job Title, Normalized Job Title, Job Description, Company, Employment Type, Industries, Salary, Recruiter, Benefits, Company Address, Required Experience, Required Qualifications.
• Easily linkable to Forager's Company Dataset for deeper insights into company firmographics.

| Use Cases |

Sales Platforms, ABM Vendors, Intent Data Companies, AdTech and more: - Integrate our job postings data to provide your end-users with real-time insights into which companies are actively hiring. - Extract intent data based on future company departmental growth. - Advertising tech: Deliver targeted ads to potential candidates for recruiting clients, in combination with our people data.

Venture Capital and Private Equity: - Discover emerging startups that are beginning to hire. - Gain insights into high-growth startups' departmental growth plans. - Keep track of your portfolio companies' hiring strategies and job interest through job post lifecycle. - Empower your portfolio companies with competitor hiring practices insights. - Identify trending, high-demand industries with rapid hiring activities.

HR Tech, ATS Platforms, Recruitment Solutions, Executive Search Agencies: - Embed our job postings data into your platform to give your end-users unprecedented business opportunities. - Generate outreach signals for recruiters and business development teams using job postings open for over 60 days. - Identify new companies that could benefit from executive placement or headhunting services. - Match open roles for existing executive clients.

| Delivery Options | - Flat files via S3 or GCP - PostgreSQL Shared Database - PostgreSQL Managed Database - REST API - Other options available upon request, depending on the scale required.

Tags: Jobs Data, Job Postings, Workforce Intelligence, Economic Signals, Talent, Jobs Database, Hiring Data, Intent Data.

The Forager.ai Global Dataset is a leading source of firmographic data, backed by advanced AI and offering the highest refresh rate in the industry.

| Volume and Stats |

• Over 70M total records, the highest volume in the industry today.
• Every company record refreshed twice a month, offering an unparalleled update frequency.
• Delivery is made every hour, ensuring you have the latest data at your fingertips.
• Each record is the result of an advanced AI-driven process, ensuring high-quality, accurate data.

| Use Cases |

Sales Platforms, ABM and Intent Data Platforms, Identity Platforms, Data Vendors:

Example applications include:

1. Uncover trending technologies or tools gaining popularity.

2. Pinpoint lucrative business prospects by identifying similar solutions utilized by a specific company.

3. Study a company's tech stacks to understand the technical capability and skills available within that company.

B2B Tech Companies:

• Enrich leads that sign-up through the Company Search API (available separately).
• Identify and map every company that fits your core personas and ICP.
• Build audiences to target, using key fields like location, company size, industry, and description.

Venture Capital and Private Equity:

• Discover new investment opportunities using company descriptions and industry-level data.
• Review the growth of private companies and benchmark their strength against competitors.
• Create high-level views of companies competing in popular verticals for investment.

| Delivery Options |

• Flat files via S3 or GCP
• PostgreSQL Shared Database
• PostgreSQL Managed Database
• API
• Other options available upon request, depending on the scale required

Our dataset provides a unique blend of volume, freshness, and detail that is perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent. It stands as a cornerstone in our broader data offering, ensuring you have the information you need to drive decision-making and growth.

Tags: Company Data, Company Profiles, Employee Data, Firmographic Data, AI-Driven Data, High Refresh Rate, Company Classification, Private Market Intelligence, Workforce Intelligence, Public Companies.

This dataset shows whether each dataset on data.maryland.gov has been updated recently enough. For example, datasets containing weekly data should be updated at least every 7 days. Datasets containing monthly data should be updated at least every 31 days. This dataset also shows a compendium of metadata from all data.maryland.gov datasets.

This report was created by the Department of Information Technology (DoIT) on August 12 2015. New reports will be uploaded daily (this report is itself included in the report, so that users can see whether new reports are consistently being uploaded each week). Generation of this report uses the Socrata Open Data (API) to retrieve metadata on date of last data update and update frequency. Analysis and formatting of the metadata use Javascript, jQuery, and AJAX.

This report will be used during meetings of the Maryland Open Data Council to curate datasets for maintenance and make sure the Open Data Portal's data stays up to date.

Explore Change : how to kick-start the future and refresh the spirit through data • Key facts: author, publication date, book publisher, book series, book subjects • Real-time news, visualizations and datasets

Customs records of are available for REFRESH TRADING COMPANY. Learn about its Importer, supply capabilities and the countries to which it supplies goods

The Rapid Refresh (RAP) numerical weather model took the place of the Rapid Update Cycle (RUC) on May 1, 2012. Run by the National Centers for Environmental Prediction (NCEP), RAP runs with two versions. The first generates weather data on a 13-km (8-mile) resolution horizontal grid and the second, the High-Resolution Rapid Refresh (HRRR), generates data down to a 3-km (2-mile) resolution grid for smaller regions of interest. RAP forecasts are generated every hour with forecast lengths going out 18 hours with a 1 hour temporal resolution. Multiple data sources go into the generation of RAP forecasts: commercial aircraft weather data, balloon data, radar data, surface observations, and satellite data. This dataset contains a 20 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

The Rapid Refresh (RAP) numerical weather model took the place of the Rapid Update Cycle (RUC) on May 1, 2012. Run by the National Centers for Environmental Prediction (NCEP), RAP runs with two versions. The first generates weather data on a 13-km (8-mile) resolution horizontal grid and the second, the High-Resolution Rapid Refresh (HRRR), generates data down to a 3-km (2-mile) resolution grid for smaller regions of interest. RAP forecasts are generated every hour with forecast lengths going out 18 hours with a 1 hour temporal resolution. Multiple data sources go into the generation of RAP forecasts: commercial aircraft weather data, balloon data, radar data, surface observations, and satellite data. This dataset contains a 13 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

699 Global export shipment records of Refresh,tears with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset shows whether each dataset on data.maryland.gov has been updated recently enough. For example, datasets containing weekly data should be updated at least every 7 days. Datasets containing monthly data should be updated at least every 31 days. This dataset also shows a compendium of metadata from all data.maryland.gov datasets.

This report was created by the Department of Information Technology (DoIT) on August 12 2015. New reports will be uploaded daily (this report is itself included in the report, so that users can see whether new reports are consistently being uploaded each week). Generation of this report uses the Socrata Open Data (API) to retrieve metadata on date of last data update and update frequency. Analysis and formatting of the metadata use Javascript, jQuery, and AJAX.

This report will be used during meetings of the Maryland Open Data Council to curate datasets for maintenance and make sure the Open Data Portal's data stays up to date.

The High-Resolution Rapid Refresh (HRRR) is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh. For more information, see the HRRR Info Page from NOAA ESRL. In addition to the real-time data that is continuously updated, archived data is now available for HRRR forecasts. This data dates back as far as 2014, and is one of the most complete publicly-available archives of HRRR data. This dataset includes a Pub/Sub topic you can subscribe to in order to be notified of updates. Subscribe to the topic 'projects/gcp-public-data-weather/topics/gcp-public-data-hrrr'. Use the Pub/Sub Quickstarts guide to learn more. This public dataset is hosted in Google Cloud Storage and available free to use. Use this quick start guide to quickly learn how to access public datasets on Google Cloud Storage.