![]() ![]() The goats were monitored both in the goat shelter (day and night) and during the grazing period in the pasture. Data was continuously sampled throughout the experiment every 10 s. The data include measurements from neck to floor height, measured by ultrasound and accelerometry data measured by an accelerometer existing at the monitoring collar. The present dataset consists of data from the sensorization of 16 pregnant and two non-pregnant Charnequeira goats, during a period of four weeks, the kidding period. The continuous human monitoring of the process is expensive, given the uncertainty of when it will occur, so the establishment of an autonomous mechanism that does so would allow calling the human responsible who could intervene at the opportune moment. The detection of kidding in production animals is of the utmost importance, given the frequency of problems associated with the process, and the fact that timely human help can be a safeguard for the well-being of the mother and kid. Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.This journal in the second half of 2021). To publication is undertaken in 4.6 days (median values for papers published in Rapid Publication: manuscripts are peer-reviewed and a firstĭecision provided to authors approximately 19.3 days after submission acceptance.Journal Rank: CiteScore - Q2 ( Information Systems and Management).High Visibility: indexed within Scopus, ESCI (Web of Science), dblp, Inspec, and many other databases.Open Access- free for readers, with article processing charges (APC) paid by authors or their institutions. ![]() The journal is published monthly online by MDPI. The journal publishes in two sections: a section on the collection, treatment and analysis methods of data in science a section publishing descriptions of scientific and scholarly datasets (one dataset per paper). Anyone can access the navigation charts for these rivers, which show depth contours, buoys, lights, known hazards, and reference landmarks.Is a peer-reviewed, open access journal on data in science, with the aim of enhancing data transparency and reusability. Rivers included in the Inland Electronic Navigation Chart (IENC) program include the Allegheny River, Arkansas River, Atchafalaya River, Black Warrior-Tombigbee Rivers, Cumberland River, Green River, Illinois River, Kaskaskia, Kanawha River, Lower Mississippi River, Missouri River, Monongahela River, Ohio River, Ouachita River, Red River, Tennessee River (including the Tellico, Hiwassee, Clinch and Emory Rivers), Tennessee-Tombigbee Waterway, Upper Mississippi River, and the White River. America’s inland waterways move millions of tons of commodities every year, and the work of surveying, charting, and dredging sediment is continually ongoing due to the dynamic conditions and constant change happening along any given river. The Inland Electronic Navigation Chart (IENC) program covers thousands of miles of navigable waterways. Army Corps of Engineers produces charts for America’s inland rivers through the Inland Electronic Navigation Chart program. ![]() The National Oceanic and Atmospheric Administration (NOAA) Office of Coast Survey produces charts for coastal and Great Lakes areas, and the U.S. Historically these charts have been printed and distributed on paper, but modern communications systems allow for electronic charts that are able to be updated as new information becomes available. Nautical charts provide critical information to mariners in support of safe navigation.
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