A complete list of live websites using the Cross Domain Tracker For Affiliatewp technology, compiled through global website indexing conducted by WebTechSurvey.

The ckanext-ds-stats extension for CKAN provides analytics and statistics capabilities by integrating with Google Analytics. It leverages dga-stats and ga-report to pull data from Google Analytics and display relevant statistics within the CKAN interface, primarily focusing on package resource downloads. Facilitating data-driven decisions about dataset usage and popularity, this extension helps CKAN administrators understand how users interact with their data catalog. It also supports cross-domain tracking using Google's site linking feature. Key Features: Google Analytics Integration: Utilizes the Google Analytics API to retrieve website usage data, providing insights into dataset and resource access patterns. Download Tracking: Tracks and displays the number of downloads for individual resources on package pages, providing immediate feedback on resource popularity. Bounce Rate Tracking: Records bounce rate information for a specified page (typically the home page), enabling assessment of landing page effectiveness. Cross-Domain Tracking: Supports cross-domain tracking to consolidate analytics data from multiple related domains into a single Google Analytics property. Event Tracking: (Potentially for CKAN 1.x) Enables tracking of events beyond resource downloads, providing a more holistic view of user interactions with the CKAN instance. Configurable Analytics Settings: Offers several configuration options, including resource_prefix to easily filter resource downloads in Google Analytics, and domain settings to specify the tracking domain.

The Multi-Domain Wizard-of-Oz dataset (MultiWOZ), a collection of human-human written conversations spanning over multiple domains and topics. The dataset was collected based on the Wizard of Oz experiment on Amazon MTurk. Each dialogue contains a goal label and several exchanges between a visitor and the system. Each system turn has labels from the set of slot-value pairs representing a coarse representation of dialogue state. There are in total 9855 dialogues.

Cross-domain knowledge bases such as DBpedia, Freebase and YAGO have emerged as encyclopedic hubs in the Web of Linked Data. Despite enabling several practical applications in the Semantic Web, the large-scale, schema-free nature of such graphs often precludes research groups from employing them widely as evaluation test cases for entity resolution and instance-based ontology alignment applications. Although the ground-truth linkages between the three knowledge bases above are available, they are not amenable to resource-limited applications. One reason is that the ground-truth files are not self-contained, meaning that a researcher must usually perform a series of expensive joins (typically in MapReduce) to obtain usable information sets. We constructed this resource by uploading several publicly licensed data resources to the public cloud and used simple Hadoop clusters to compile, and make accessible, three cross-domain self-contained test cases involving linked instances from DBpedia, Freebase and YAGO. Self-containment is enabled by virtue of a simple NoSQL JSON-like serialization format. Potential applications for these resources, particularly related to testing transfer learning research hypotheses, are described in more detail in a paper submission in the resource track at ISWC 2016.

Aim:  The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable detailed and consistent habitat mapping at biogeographic scales. However, integrating wildlife datasets across large areas and study sites is challenging, as species’ varying responses to different environmental contexts must be reconciled. Here, we compare approaches for large-area habitat mapping and assess available habitat for a recolonizing large carnivore, the Eurasian lynx (Lynx lynx). Â

Location: Europe  Methods:  We use a continental-scale animal tracking database (450 individuals from 14 study sites) to systematically assess modeling approaches, comparing (1) global strategies that pool all data for training vs. building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habitat selection, and (3) different modeling algorithms, testing nonlinear mixed eff...

Study sites: Toolik Lake Field Station Alaska, USA 68.63 N, 149.57 W; Atqasuk, Alaska USA 70.45 N, 157.40 W; Barrow, Alaska, USA 71.30 N, 156.67 W; Latnjajaure, Sweden 68.35 N, 18.50 E; Falls Creek, Australia: Site 2-unburned 36.90 S 147.29 E; Site 3-burned 36.89 S 147.28 E. Additional sites will be added summer 2008, but the exact sites are not finalized. Purpose: Collect soil CO2 for analysis of radiocarbon to evaluate the age of the carbon respired in controls and warmed plots from across the ITEX network. Treatments: control and ITEX OTC warming experiment (1994-2007). Design: 5 replicates of each treatment at dry site and moist site. Sampling frequency: Once per peak season.

In this cross-sectional study, we extracted the uniform resource locator (URL) of each National Abortion Federation member facility on May 6, 2022. We visited each unique URL using webXray (Timothy Libert), which detects third-party tracking. For each web page, we recorded data transfers to third-party domains. Transfers typically include a user’s IP (internet protocol) address and the web page being visited. We also recorded the presence of third-party cookies, data stored on a user’s computer that can facilitate tracking across multiple websites.