The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for all types of vehicles (mobile sources of air pollution) excluding snowmobile, marine (diesel), and heavy duty engines whichsummary data is updated on an annual basis. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Clean Air Act, Energy Policy and Conservation Act (EPCA) and the Energy Independent Security Act (EISA) of 2007.

Open source, open access database and literature curation system for community based annotation of experimentally identified DNA regulatory regions, transcription factor binding sites and regulatory variants. Automatically cross referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, eVOC: Cell type ontology, and Taxonomy database. Community driven resource for curated regulatory annotation.

These data were collected to provide authoritative documentation for every appointment to one of 15 independent United States federal agencies. For each appointment, the dataset contains information on dates of nomination and service, employment prior to and after terms of service, reason for service termination, and background information such as state of residence, party affiliation, gender, race, birthdate, and name.

Infrastructure industries-including telecommunications, electricity, water, and gas-underwent massive structural changes in the 1990s. During that decade, hundreds of privatization transactions valued at billions of dollars were completed in these sectors in developing and transition economies. While privatization has received the most attention, reforms also included market liberalization, structural changes like unbundling, and the introduction of new laws and regulations. To date, regulations have received far less attention than their potential economic effects warrant, largely due to lack of data. In order to address this problem, the authors set out to compile a comprehensive and consistent dataset through an extensive survey of telecommunications and electricity regulators in developing countries. The authors describe the surveys and the resulting database. The database of telecommunications regulations includes 178 variables on regulatory governance and content in 45 countries. The database of electricity regulations includes 374 variables in 20 countries.

When Congress passes laws, federal agencies implement those laws through regulations. These regulations vary in subject, but include everything from ensuring water is safe to drink to setting health care standards. Regulations.gov is the place where users can find and comment on regulations. The APIs allow for users to find creative ways to present regulatory data. To learn more about the program visit the About Us page.

​The OECD Services Trade Restrictiveness Index (STRI) is a unique, evidence-based tool that collects information on services trade restrictions across major services sectors. The project has two distinct but complementary instruments: a services trade regulatory database and a services trade restrictiveness index. These instruments provide a rich source of information for trade policy makers, trade negotiators and researchers, and an instrument for impact assessment of trade liberalisation. The STRI further allows individual countries to benchmark their services market regulations against the global best practice, identify outlier restrictions and current bottlenecks. For further details, please refer to https://www.oecd.org/trade/topics/services-trade/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Non-coding DNA segments that are conserved across multiple homologous genomic sequences are good indicators of putative regulatory elements. We use a systematic approach to delineate such conserved non-coding blocks from a collection of vertebrate species. Upstream regions of homologous gene pairs from man, rhesus monkey, mouse, rat, dog, cow, chicken, tetraodon, zebrafish and xenopus are considered for this purpose. Pairwise as well as Multiple alignments based on the pairwise ones are available. Sequence conservation in non-coding, upstream regions of orthologous genes from man and mouse is likely to reflect common regulatory DNA sites. Motivated by this assumption we have delineated a catalogue of conserved non-coding sequence blocks and provide the CORG-''COmparative Regulatory Genomics''-database. The data were computed based on statistically significant local suboptimal alignments of 15 kb regions upstream of the translation start sites of, currently, 10 793 pairs of orthologous genes. The resulting conserved non-coding blocks were annotated with EST matches for easier detection of non-coding mRNA and with hits to known transcription factor binding sites. CORG data are accessible from the ENSEMBL web site via a DAS service as well as a specially developed web service for query and interactive visualization of the conserved blocks and their annotation.

United States US: Regulatory Quality: Estimate data was reported at 1.628 NA in 2017. This records an increase from the previous number of 1.497 NA for 2016. United States US: Regulatory Quality: Estimate data is updated yearly, averaging 1.532 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.761 NA in 2000 and a record low of 1.256 NA in 2015. United States US: Regulatory Quality: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WGI: Country Governance Indicators. Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

TRRD is a unique information resource, accumulating information on structural and functional organization of transcription regulatory regions of eukaryotic genes. Only experimentally confirmed information is included into TRRD. Transcription Regulatory Regions Database (TRRD) is developed for accumulation of experimental information on the structure-function features of regulatory regions of eukaryotic genes. Each entry of TRRD corresponds to a particular gene. The annotated part of an entry includes the structure-function description of gene regulatory regions composed by regulatory units (promoters, silencers, enhancers, etc.), individual transcription factor binding sites that constitute these regulatory units, and transcription factors that bind to these sites. In addition, the entry contains the gene expression patterns and references to original publications.

Database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites. A variety of bioinformatics tools for the prediction, analysis and visualization of regulons and gene reglulatory networks is included. The integrated approach provides information about molecular networks in prokaryotes with focus on pathogenic organisms. In detail this concerns: * transcriptional regulation (transcription factors and their DNA binding sites * signal transduction (two-component systems, phosphylation cascades) * protein interactions (complex formation, oligomerization) * biochemical pathways (chemical reactions) * other regulation events (e.g. codon usage, etc. ...) It aims to be a resource to model protein-host interactions and to be a suitable platform to analyze high-throughput data from proteomis and transcriptomics experiments (systems biology). Currently it mainly contains detailed information about operon and promoter structures including huge collections of transcription factor binding sites. If an appropriate number of regulatory binding sites is available, a position weight matrix (PWM) and a sequence logo is provided, which can be used to predict new binding sites. This data is collected manually by screening the original scientific literature. PRODORIC also handles protein-protein interactions and signal-transduction cascades that commonly occur in form of two-component systems in prokaryotes. Furthermore it contains metabolic network data imported from the KEGG database.

Success.ai’s Regulatory Company Data provides organizations with access to verified profiles and contact details for legal and compliance professionals worldwide. Drawing from over 170 million verified professional profiles, this dataset includes work emails, direct phone numbers, and LinkedIn profiles of compliance officers, regulatory managers, attorneys, and other key decision-makers in corporate governance and regulatory affairs. Whether you’re addressing global compliance challenges, navigating complex legal frameworks, or offering specialized legal services, Success.ai ensures that your outreach is guided by accurate, up-to-date, and continuously validated contact data.

Why Choose Success.ai’s Regulatory Company Data?

1. Comprehensive Contact Information

   • Access verified work emails, phone numbers, and professional profiles of compliance officers, regulatory managers, and legal professionals across various industries and regions.
   • AI-driven validation ensures 99% accuracy, giving you confidence in the reliability and precision of the data.

2. Global Reach in Legal and Compliance Roles

   • Includes profiles of legal counsels, compliance directors, risk management officers, and corporate governance advisors in corporations, financial institutions, and regulatory agencies.
   • Covers North America, Europe, Asia-Pacific, South America, and the Middle East, enabling effective engagement with professionals in established and emerging markets.

3. Continuously Updated Datasets

   • Real-time updates help you stay current with evolving roles, titles, and responsibilities, keeping your outreach aligned with ongoing regulatory and legal shifts.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring that your approach to connecting with legal and compliance professionals is always ethical and lawful.

Data Highlights:

• 170M+ Verified Professional Profiles: Includes legal and compliance professionals and decision-makers globally.
• 50M Work Emails: AI-validated for precise communication and minimized bounce rates.
• 30M Company Profiles: Gain organizational insights to understand corporate structures, helping you tailor outreach effectively.
• 700M Global Professional Profiles: Enriched datasets supporting a broad range of business development and market analysis initiatives.

Key Features of the Dataset

1. Decision-Maker Profiles in Compliance and Legal Domains

   • Identify and connect with GCs, CLOs, compliance officers, and regulatory managers influencing corporate policies, risk assessments, and regulatory adherence.

2. Advanced Filters for Precision Targeting

   • Refine outreach by industry, company size, location, or specific legal/compliance roles, ensuring your message reaches the right audience at the right time.

3. AI-Driven Enrichment

   • Profiles are enriched with actionable data, providing insights into areas of specialization, jurisdictional expertise, and regulatory focus, allowing for more personalized engagement.

Strategic Use Cases:

1. Risk Management and Compliance Solutions

   • Present compliance software, monitoring tools, or audit services directly to professionals managing regulatory risk and adherence within organizations.
   • Build relationships with decision-makers overseeing compliance training, enforcement, and remediation.

2. Legal Services and Advisory Campaigns

   • Offer legal services, regulatory consulting, or advisory support to GCs and legal teams seeking assistance with complex compliance mandates.
   • Target professionals involved in contract management, dispute resolution, and corporate governance.

3. Policy Advocacy and Regulatory Outreach

   • Engage with key influencers in corporate compliance to share policy insights, industry best practices, or research findings that inform regulations and guidelines.
   • Build networks that facilitate dialogue on legislative changes and compliance frameworks.

4. Technology and Automation Integration

   • Present solutions such as AI-driven compliance analytics, e-discovery tools, or contract automation software to legal and regulatory decision-makers.
   • Support digital transformation initiatives that streamline regulatory processes and reduce risk.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality verified data at competitive prices, ensuring your investments in outreach deliver maximum ROI.

2. Seamless Integration

   • Integrate verified contact data directly into your CRM or marketing platforms via APIs or downloadable formats, simplifying data management.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to underpin data-driven decisions, improve targeting, and enhance the effectiveness of compliance and legal outreach campaigns.

4. Customizable and Scalable Solutions

   • Tailor datasets to f...

A database of motifs found in plant cis-acting regulatory DNA elements, all from previously published reports. It covers vascular plants only. In addition to the motifs originally reported, their variations in other genes or in other plant species reported later are also compiled. The PLACE database also contains a brief description of each motif and relevant literature with PubMed ID numbers. DDBJ/EMBL/GenBank nucleotide sequence databases accession numbers will be also included. Note: As of January 2007, PLACE is no longer updated or maintained.

Abstract

The Global Data Regulation Diagnostic provides a comprehensive assessment of the quality of the data governance environment. Diagnostic results show that countries have put in greater effort in adopting enabler regulatory practices than in safeguard regulatory practices. However, for public intent data, enablers for private intent data, safeguards for personal and nonpersonal data, cybersecurity and cybercrime, as well as cross-border data flows. Across all these dimensions, no income group demonstrates advanced regulatory frameworks across all dimensions, indicating significant room for the regulatory development of both enablers and safeguards remains at an intermediate stage: 47 percent of enabler good practices and 41 percent of good safeguard practices are adopted across countries. Under the enabler and safeguard pillars, the diagnostic covers dimensions of e-commerce/e-transactions, enablers further improvement on data governance environment.

The Global Data Regulation Diagnostic is the first comprehensive assessment of laws and regulations on data governance. It covers enabler and safeguard regulatory practices in 80 countries providing indicators to assess and compare their performance. This Global Data Regulation Diagnostic develops objective and standardized indicators to measure the regulatory environment for the data economy across countries. The indicators aim to serve as a diagnostic tool so countries can assess and compare their performance vis-á-vis other countries. Understanding the gap with global regulatory good practices is a necessary first step for governments when identifying and prioritizing reforms.

Geographic coverage

80 countries

Analysis unit

Country

Kind of data

Observation data/ratings [obs]

Sampling procedure

The diagnostic is based on a detailed assessment of domestic laws, regulations, and administrative requirements in 80 countries selected to ensure a balanced coverage across income groups, regions, and different levels of digital technology development. Data are further verified through a detailed desk research of legal texts, reflecting the regulatory status of each country as of June 1, 2020.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The questionnaire comprises 37 questions designed to determine if a country has adopted good regulatory practice on data governance. The responses are then scored and assigned a normative interpretation. Related questions fall into seven clusters so that when the scores are averaged, each cluster provides an overall sense of how it performs in its corresponding regulatory and legal dimensions. These seven dimensions are: (1) E-commerce/e-transaction; (2) Enablers for public intent data; (3) Enablers for private intent data; (4) Safeguards for personal data; (5) Safeguards for nonpersonal data; (6) Cybersecurity and cybercrime; (7) Cross-border data transfers.

Response rate

100%

A survey conducted in April and May 2023 found that 60 percent of the companies that do business in the United States find it challenging to track the status of the data privacy legislation and the differences between state laws when preparing for changes in the data privacy laws. The challenge for around 50 percent of the respondents were increasing their budget because of the changes.

The average for 2023 based on 193 countries was -0.03 points. The highest value was in Singapore: 2.31 points and the lowest value was in North Korea: -2.39 points. The indicator is available from 1996 to 2023. Below is a chart for all countries where data are available.

Inspection and disposal results of listed business pollution sources and the amount of penalties.

Comprehensive database of federal deregulation news from government agencies, think tanks, and news sources

TRUSST is reference database of human transcriptional regulatory interactions.TRRUST v2 is manually curated expanded reference database of human and mouse transcriptional regulatory interactions.

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. A manual generated database for alternative exons and their properties from numerous species - the data is gathered from literature where these exons have been experimentally verified. Most alternative exons are cassette exons and are expressed in more than two tissues. Of all exons whose expression was reported to be specific for a certain tissue, the majority were expressed in the brain. At the moment, AEdb products that are available are sequence (a database of alternative exons), function (a database of functions attributed to constitutive and alternative exon), regulatory sequence (a database of transcript regulatory motifs), minigenes (a table of minigenes and their associations to splicing events), and diseases (a table of diseases associated with splicing and their associations to AltSplice). Alternative splicing is an important regulatory mechanism of mammalian gene expression. The alternative splicing database (ASD) consortium is systematically collecting and annotating data on alternative splicing. The continuation and upgrade of the ASD consists of computationally and manually generated data. Its largest parts are AltSplice, a value-added database of computationally delineated alternative splicing events. Its data include alternatively spliced introns/exons, events, isoform splicing patterns and isoform peptide sequences. AltSplice data are generated by examining gene-transcript alignments. The data are annotated for various biological features including splicing signals, expression states, (SNP)-mediated splicing and cross-species conservation. AEdb forms the manually curated component of ASD. It is a literature-based data set containing sequence and properties of alternatively spliced exons, functional enumeration of observed splicing events, characterization of observed splicing regulatory elements, and a collection of experimentally clarified minigene constructs.

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