We collect contact details for more than 150 000+ companies and add new data each day to our Data set.

All information is collected manually, and phone numbers are valid and are used for calling software.

70% of companies are from the US; the other 30 are from Europe and English-speaking countries.

Information provided for business number 16 (Florida) for sliders (Trachemys scripta, all subspecies combined) changed among listings and over the course of our surveys; all information that appeared related to T. scripta for business number 16 during our surveys is provided below.

Online map index of 1:50 000 scale topographic map sheets covering Australia. The application allows users to search, select and download 50k topographic maps with redirection to the relevant eCat record. This is available as an interactive web map.

Explore the historical Whois records related to 000.web.id (Domain). Get insights into ownership history and changes over time.

Client Name XXX

Online map index of 1:100 000 scale topographic map sheets covering Australia. The application allows users to search, select and download 100k topographic maps with redirection to the relevant eCat record. This is available as an interactive web map.

Analysis of ‘Sécurité des sites informatiques des communes françaises’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5513caa7c751df28c1703192 on 16 January 2022.

--- Dataset description provided by original source is as follows ---

Notre base de données est issue des données du co-marquage de service-public.fr, un service proposé par l’État permettant aux administrations centrales de diffuser des informations locales, soit quelque 15 000 sites référencés. Cette photographie date du 4 février 2015.

Elle s’appuie donc sur les éléments visibles et déclarés sur chaque site, considérant que la version annoncée et/ou détectée est la version effectivement en place.

--- Original source retains full ownership of the source dataset ---

Adenosine-to-inosine (A-to-I) editing is a post-transcriptional modification of RNA which changes its sequence, coding potential and secondary structure. A-to-I editing occurs at approximately 50 000-150 000 sites in mice and into the millions of sites in humans. This reaction is catalysed by the adenosine deaminase acting on RNA (ADAR) proteins, ADAR1 and ADAR2 . ADAR1 and ADAR2 can edit both viral and cellular RNAs and can edit RNAs at multiple sites (hyper-editing) or at specific sites (site-specific editing) .

600 000 000 web traffic records normalized into MySQL tables using TokuDB storage, complete with original web server response codes. Suitable for browser data and trend analysis as well as AI training of exploit and bot detection algorithms. The data had been collected from multiple Apache 2.x web servers across 8000+ domain names with special care for GDPR compliance.

Adenosine-to-inosine (A-to-I) editing is a post-transcriptional modification of RNA which changes its sequence, coding potential and secondary structure. A-to-I editing occurs at approximately 50 000-150 000 sites in mice and into the millions of sites in humans. This reaction is catalysed by the adenosine deaminase acting on RNA (ADAR) proteins, ADAR1 and ADAR2 . ADAR1 and ADAR2 can edit both viral and cellular RNAs and can edit RNAs at multiple sites (hyper-editing) or at specific sites (site-specific editing) .

Online map index of 1:250 000 scale topographic map sheets covering Australia. The application allows users to search, select and download 250k topographic maps with redirection to the relevant eCat record. This is available as an interactive web map.

In the present study, we analyzed a large corpus of English-language online media articles covering genome-wide association studies (GWAS), exemplifying the use of computational methods to study science communication in biological sciences. We analyzed trends in media coverage, readability, themes, and mentions of ethical and social issues, in over 5,000 websites published from 2005 to 2018 from 3,555 GWAS publications on 1,943 different traits, identified via GWAS Catalog using a text-mining approach to inform the discussion about genetic literacy and media coverage. We found that 22.9% of GWAS papers received media attention but most were described in language too complex to be understood by the public. Ethical issues are rarely mentioned and mentions of translation are increasing over time. We predicted media attention based on year of publication, number of genetic associations identified, study sample size, and journal impact factor, using a regression model (r2 = 38.7%). We found that chronotype, educational attainment, alcohol and coffee consumption, sexual orientation, tanning, and hair color received substantially more attention than predicted by the regression model. We also evaluated the prevalence of the clickbait “one gene, one disease” headlines (e.g., “Scientists Say They’ve Found Gene That Causes Breast Cancer”) and found that it is declining. In sum, online media coverage of GWAS should be more accessible, introduce more modern genetics terms, and when appropriate, ELSI should be mentioned. Science communication research can benefit from big data and text-mining techniques which allow us to study trends and changes in coverage trends across thousands of media outlets. Results can be explored interactively in a website we have built for this manuscript: https://jjmorosoli.shinyapps.io/newas/.

Data collected on turtles ≤4 inches in size for sale on 16 websites in February-March and October-November 2021. (XLSX)

Normalized Mn and Fe areal densities from pXRF measurements on petroglyphs at the study sites [Avg.: Arithmetic average, S.D.: Standard deviation].