BatchData's property listings data provides comprehensive insights with over 140 data points and nationwide listing data inclusive of For Sale By Owner (FSBO) listings across the United States. Updated daily in most markets, the data includes:

• Listing Details: property listings descriptions, property characteristics, pricing, days on market, and more.
• Agent Information: agent names, license numbers, contact details, listing counts, and listing histories.
• Broker Information: Broker names, locations, URLs, emails, phone numbers, and licensing information.
• Additional Details: Information about schools, neighborhoods, subdivisions, and tax data.

Common Use Cases: - Recruiting Teams: Enhance talent acquisition by analyzing agents' listing counts, close rates, property types, and client profiles. - Proptech Software & Marketplaces: Integrate current and historical listings to create detailed property profiles, advanced search features, and robust analytics. - Home Service Providers: Target marketing and outreach efforts to homeowners, whether they are preparing to move or have recently relocated. - Real Estate Agents & Investors: Identify undervalued properties, connect with buyers/sellers based on activity, analyze market trends, and develop effective marketing strategies.

Our property listings data can be delivered in a variety of formats to suit your needs. Choose from API integration for seamless, real-time data access, bulk data delivery for extensive datasets, S3 bucket storage for scalable cloud solutions, and more. This flexibility ensures that you can incorporate our comprehensive property information into your systems efficiently and effectively, whether you're building a new platform, enhancing existing tools, or conducting in-depth analyses.

This is a point-in-time count of active professional licenses, by County and State, issued by the Department of Licensing. These licenses are issued to people or businesses.

Unlock the Potential of U.S. National MLS Real Estate Data

Discover the wealth of information encapsulated in licensing bulk MLS (Multiple Listing Service) data, a cornerstone of the real estate realm. From property particulars to market trends, delve into the significance and multifaceted utility of MLS data across diverse industries.

MLS Real Estate Data includes:

• Property Information: Address, size, layout, condition, amenities, and more.
• Price History: Historical price changes, listing dates, and sales dates.
• Geographic Insights: Location, neighborhood information, school districts, and proximity to amenities.
• Property Photos: MLS images of properties (see the condition of a property inside and out.)
• Agent/Broker Information: Certain details about the listing agent or broker as well as their notes on properties.
• Market Dynamics: Data on local real estate market conditions, including inventory levels, price trends, and days on the market.

We introduce a large-scale dataset of the complete texts of free/open source software (FOSS) license variants. To assemble it we have collected from the Software Heritage archive—the largest publicly available archive of FOSS source code with accompanying development history—all versions of files whose names are commonly used to convey licensing terms to software users and developers. The dataset consists of 6.5 million unique license files that can be used to conduct empirical studies on open source licensing, training of automated license classifiers, natural language processing (NLP) analyses of legal texts, as well as historical and phylogenetic studies on FOSS licensing. Additional metadata about shipped license files are also provided, making the dataset ready to use in various contexts; they include: file length measures, detected MIME type, detected SPDX license (using ScanCode), example origin (e.g., GitHub repository), oldest public commit in which the license appeared. The dataset is released as open data as an archive file containing all deduplicated license blobs, plus several portable CSV files for metadata, referencing blobs via cryptographic checksums.

For more details see the included README file and companion paper:

Stefano Zacchiroli. A Large-scale Dataset of (Open Source) License Text Variants. In proceedings of the 2022 Mining Software Repositories Conference (MSR 2022). 23-24 May 2022 Pittsburgh, Pennsylvania, United States. ACM 2022.

If you use this dataset for research purposes, please acknowledge its use by citing the above paper.

The data monetization market is booming, projected to reach $4.17 billion by 2025 with a 19.94% CAGR. Discover key drivers, trends, and restraints shaping this lucrative sector, along with leading companies and regional insights. Explore data licensing, data-as-a-service, and more. Key drivers for this market are: Rapid Adoption of Advanced Analytics and Visualization, Increasing Volume and Variety of Business Data. Potential restraints include: Interoperability With Existing Systems, Varying Structure of Regulatory Policies. Notable trends are: Large Enterprises to Hold Major Market Share.

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4MM+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2002 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded. 'C_SBA' is a change of business activity record. It means that a new business activity was added or an existing business activity was marked as expired.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2002 to present. Frequency: Data is updated daily.

You can access free bulk NSW land value information from July 2017 onwards.

A zip file is published on a monthly basis containing a data file for each Local Government Area. These files contain property data and land values going back up to five valuing years for all current properties at the time of file creation.

Data files are delivered in comma-separated values (CSV) file format. They can be imported into most spreadsheet and database programs.

Bulk land value information is available under open access licensing as part of the NSW Government Open Data Policy and is subject to the Creative Commons Attribution 4.0 Licence.

Valuation Services, a division of Property NSW, manages the valuation system on behalf of the Valuer General.

CrunchBase in an online platform providing information about startups and technology companies, including related entities such as the products they sell, key people they employ, and investments they made and received.

We provide here an RDF data set of Crunchbase as of October 2015. The data set contains information about

1,946,435 jobs

1,348,449 websites

567,937 organizations

519,763 news

430,093 people

60,076 products, and

33,127 acquisitions.

The data set has been used, among other things, for data integration with financial data sources to evaluate the performance of particular companies and for monitoring news to find statements that are not in Crunchbase as an RDF knowledge graph yet.

Note that the provided data set was created in October 2015 when all Crunchbase data was licensed under Creative Commons Attribution-NonCommercial License 4.0 (CC-BY-NC) and partly under Creative Commons Attribution License 4.0 (CC-BY). Also the provied data set is licensed under these licenses. Concerning licensing of current Crunchbase data, we can refer to https://about.crunchbase.com/terms-of-service/.

For more information about the data set, see our paper A Linked Data Wrapper for CrunchBase.

When you use the data set, please cite us as follows:

Michael Färber, Carsten Menne, Andreas Harth. “A Linked Data Wrapper for CrunchBase”. In: Semantic Web Journal 9(4). IOS Press, 2018, pp. 505–5015. (BibTeX entry at DBLP)

Snapshot img { margin: 10px !important; } AI Datasets And Licensing For Academic Research And Publishing Market Size 2025-2029

The ai datasets and licensing for academic research and publishing market size is forecast to increase by USD 1.3 billion, at a CAGR of 29.7% between 2024 and 2029.

The global AI datasets and licensing for academic research and publishing market is influenced by the proliferation of large-scale generative models, which creates a critical need for specialized data resources. This dynamic drives demand for advanced ai data management solutions and ai governance tools to handle complex ai training datasets. The maturation of synthetic data as a viable alternative presents new opportunities, offering a response to privacy concerns and the high costs of real-world data acquisition. However, the use of synthetic data also introduces challenges related to ensuring its statistical representativeness and applicability for ai in clinical trials and other high-stakes domains, requiring rigorous validation and quality control processes.Operational efficiency is constrained by the intricate and fragmented regulatory landscape governing data privacy and usage. This complex web of legislation, which varies significantly across jurisdictions, imposes substantial compliance burdens and legal risks, affecting everything from ai ip and licensing agreements to cross-border research collaborations. The lack of a harmonized global standard complicates the development of a unified ai policy and standards framework. This legal friction necessitates meticulous due diligence and specialized legal counsel, adding administrative overhead and potentially slowing the pace of innovation and the deployment of technologies like legal ai software that depend on large-scale data access.

What will be the Size of the AI Datasets And Licensing For Academic Research And Publishing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market is characterized by the continuous evolution of data-centric development practices and the integration of machine learning operations. This shift emphasizes the importance of data quality in academic ai research and the need for robust data provenance in scholarly publishing to ensure reproducibility. Consequently, there is a growing reliance on ai data management systems that support the entire data-centric ai development lifecycle, from initial curation to model validation, including advanced ai integration platforms.Demand is increasing for highly specialized and multimodal datasets for complex ai applications in various verticals. This requires sophisticated licensing frameworks for research data that can accommodate diverse data types and uses, including text and data mining rights. The development of retrieval-augmented generation systems for academic inquiry further drives the need for well-structured and verifiable knowledge bases. This specialization highlights the need for effective ai governance in academic institutions.Ethical considerations and regulatory compliance are becoming central to data licensing and acquisition strategies. The focus on mitigating bias in training datasets and adhering to ethical guidelines for ai datasets is shaping procurement processes. As new ai regulatory technology emerges, institutions are adopting more formal risk management activities, transforming how they source and manage data. This includes a greater emphasis on privacy-preserving techniques and transparent documentation to align with evolving ai policy and standards.

How is this AI Datasets And Licensing For Academic Research And Publishing Industry segmented?

The ai datasets and licensing for academic research and publishing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. ApplicationTrainingFine tuningRAGInferenceTypeProprietary licensingSubscription-basedOpen access and public licensingEnterprise licensingEnd-userLife sciences and pharmaceuticalsFood scienceChemistryEngineering and material scienceGeographyNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceItalyThe NetherlandsSpainAPACChinaJapanIndiaAustraliaSouth KoreaIndonesiaSouth AmericaBrazilArgentinaColombiaMiddle East and AfricaUAESouth AfricaTurkeyRest of World (ROW)

By Application Insights

The training segment is estimated to witness significant growth during the forecast period.The training segment is a foundational pillar of the market, involving the use of massive, diverse corpora to build foundational models from the ground up. The academic imperative to advance AI, create models not exclusively controlled by commercial entities, and mitigate inher

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded. 'C_SBA' is a change of business activity record. It means that a new business activity was added or an existing business activity was marked as expired.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2006 to present. Frequency: Data is updated daily.

Funko Pop (2019–2022): Trends in Pricing, Licenses & Fan Interest

What the data says

1,482 products from 2019–2022

Cleaned in Kaggle (Python/Pandas), visualized in Tableau

Dashboard worksheets: Top Licenses, Price Distribution, Monthly Releases (by product type), License vs. Interest (treemap).

Data story for analysts

Pricing:

The average list price is $14.25. Distribution is right skewed: most items cluster between $10–$15, with a thin tail above $30–$50 (special editions/jumbo formats).

The $10–$15 band is the core price anchor and outliers likely reflect format premiums or limited releases.

Licenses & demand signals:

The portfolio is dominated by big, evergreen IPs. The Top Licenses view shows NBA at #1, followed by The Nightmare Before Christmas, Five Nights at Freddy’s, Star Wars, Harry Potter, NFL, The Mandalorian, Batman, Funko (original), and My Hero Academia.

The License vs. Interest treemap concentrates large tiles around NBA, Disney/Nightmare Before Christmas, Star Wars, DC, Video Gamesa and anime. This suggests sustained collector attention around sports and long running franchises.

Release cadence & mix:

Monthly Releases (stacked by product type) reveal seasonal spikes aligned with major franchise drops and holiday windows and baseline months hover near the dashboard’s average line.

Pop! figures lead volume while other formats (Pop! Jumbo, Pins, Plush, Keychains, Vinyl GOLD, Apparel, Board Games, Action Figures) appear as smaller but sometimes higher price niches.

How to use this analysis

Pricing strategy: Treat $10–$15 as the reference band and test premiums only for large tile licenses or special formats.

Licensing & inventory: Prioritize replenishment and variant bets for top tiles like NBA, Star Wars, and DC.

Calendar planning: Align drops with monthly peaks and piggyback on franchise events to ride natural demand waves.

Next steps: Add time series features (moving averages by license), and join to secondary data (Google Trends, release schedules, convention dates) to explain peak months and forecast tile growth.

Reproducibility & caveats

Counts represent SKUs, not sales volume.

Prices are listed prices; promotions and secondary market dynamics are out of scope.

Notebook includes cleaning steps (type standardization, outlier checks) and an export for Tableau.

Explore the dashboard to filter by license or product type, compare months against the average line, and use the treemap to trace where fan interest concentrates across the catalog.

Certain companies and buyers can request specialist vehicle data from DVLA, including the ‘bulk data set’, ‘anonymised data set’ and vehicle mileage data.

From our comprehensive US Data Lake, we proudly present 8M+ high-quality enhanced US decision-makers and influencers.

Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.

Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.

It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.

and much more

Why Choose 1 Stop Data?

• We offer our clients a unique, single source of quality and compliant data.
• We don't rely on 3rd party vendors.
• We utilise extensive verification processes to help ensure phone numbers and emails are accurate and connect to the right person.
• We are budget-friendly and our team are highly experienced.

Products and Services:

The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)

Keywords:

B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.

The global Software Licensing Solutions market is poised for significant expansion, projected to reach an estimated market size of $8,500 million by 2025, demonstrating robust growth. This expansion is fueled by an anticipated Compound Annual Growth Rate (CAGR) of 12% during the forecast period of 2025-2033. The primary drivers underpinning this growth include the increasing complexity of software deployment models, the growing need for compliance and cost optimization, and the rise of subscription-based software models. Businesses are actively seeking sophisticated solutions to manage their software assets efficiently, reduce shadow IT, and ensure regulatory adherence, thereby driving demand for advanced licensing and entitlement management platforms. The shift towards cloud-based solutions continues to accelerate, offering scalability, flexibility, and accessibility, which is a major trend shaping the market. Furthermore, the proliferation of software across various industries, from SMEs to large enterprises, underscores the universal need for effective licensing strategies. Despite the promising outlook, certain restraints could influence the market's trajectory. These include the initial investment costs associated with implementing comprehensive software licensing solutions, potential resistance to change from organizations accustomed to manual or less sophisticated methods, and concerns regarding data security and privacy within cloud-based environments. However, the increasing awareness of the long-term cost savings and enhanced operational efficiencies offered by these solutions is expected to mitigate these challenges. The market is segmented by application into SMEs and Large Enterprises, with both segments showing a strong demand for streamlined licensing. By type, Cloud-based solutions are anticipated to dominate, driven by their inherent advantages over On-premise alternatives, though on-premise solutions will retain a significant share, particularly in highly regulated industries. Key players are actively innovating to address evolving market needs, focusing on features like automated license management, usage analytics, and robust security protocols. This in-depth report provides a panoramic view of the global Software Licensing Solutions market, meticulously analyzing its trajectory from 2019 to 2033. With a base year of 2025 and a comprehensive forecast period extending to 2033, this study delves into the intricate dynamics that shape this critical sector. We project the market to reach a significant milestone, with an estimated $45,000 million in 2025, and foresee continued robust growth. This report is essential for stakeholders seeking to understand market concentration, identify emerging trends, pinpoint dominant regions and segments, and navigate the competitive landscape.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Countryside Survey topsoil pH and bulk density (g cm-3) data is representative of 0 - 15 cm soil depth. Topsoil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight; bulk density was estimated by making detailed weight measurements throughout the soil processing procedure. For topsoil pH and bulk density data, a total of 2614 cores from 591 1km x 1km squares across Great Britain were collected and analysed in 2007. Please see Emmett et al. 2010 for further details of sampling and methods (http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf). Estimates of mean values within selected habitats and parent material characteristics across GB were made using CS data from 1978, 1998 and 2007 using a mixed model approach. Please see Scott, 2008 for further details of similar statistical analysis (http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf). The estimated means of habitat /parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see Dataset Documentation). The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. Countryside Survey soils data are freely available under licence from the Environmental Information Data Centre catalogue.

Strategy For Mass And Feeder Transport
This dataset falls under the category Planning & Policy Planning.
It contains the following data: Strategy for mass and feeder transport
This dataset was scouted on 2022-02-11 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://sigmetro.imeplan.mx/descargas/capas41275.zipSee URL for data access and license information.