The geologic record in stratigraphy, paleontology and other natural sciences refers to the entirety of the layers of rock strata — deposits laid down by volcanism or by deposition of sediment derived from weathering detritus (clays, sands etc.) including all its fossil content and the information it yields about the history of the Earth: its past climate, geography, geology and the evolution of life on its surface. According to the law of superposition, sedimentary and volcanic rock layers are deposited on top of each other. They harden over time to become a solidified (competent) rock column, that may be intruded by igneous rocks and disrupted by tectonic events.
At a certain locality on the Earth's surface, the rock column provides a cross section of the natural history in the area during the time covered by the age of the rocks. This is sometimes called the rock history and gives a window into the natural history of the location that spans many geological time units such as ages, epochs, or in some cases even multiple major geologic periods—for the particular geographic region or regions. The geologic record is in no one place entirely complete for where geologic forces one age provide a low-lying region accumulating deposits much like a layer cake, in the next may have uplifted the region, and the same area is instead one that is weathering and being torn down by chemistry, wind, temperature, and water. This is to say that in a given location, the geologic record can be and is quite often interrupted as the ancient local environment was converted by geological forces into new landforms and features. Sediment core data at the mouths of large riverine drainage basins, some of which go 7 miles (11 km) deep thoroughly support the law of superposition.
A recording, record, records or the record may mean:
An item or collection of data:
A world record is usually the best global performance ever recorded and officially verified in a specific skill or sport. The book Guinness World Records collates and publishes notable records of all types, from first and best to worst human achievements, to extremes in the natural world and beyond. The website RecordSetter has begun to take on the same territory, but with a more inclusive policy, as users submit videos of record attempts in order to try to receive a world record. The website challengers.guinnessworldrecords.com is similar to RecordSetter, as the record attempts are judged by Guinness World Records adjudicators, but the records to attempt are provided beforehand.
In the United States the form World's Record was formerly more common. The term World Best was also briefly in use. The latter term is still used in athletics events, including track and field and road running) to describe good and bad performances not recognized as an official world record: either because the event is a non-qualifying event (e.g. the 150 m run or individual events in a decathlon), or because it does not fulfil other criteria of an otherwise qualifying event (e.g. the Great North Run half-marathon, which has an excessive downhill gradient). The term is also used in video game speedrunning when someone achieves the fastest possible time for the game and category.
In the context of a relational database, a row—also called a record or tuple—represents a single, implicitly structured data item in a table. In simple terms, a database table can be thought of as consisting of rows and columns or fields. Each row in a table represents a set of related data, and every row in the table has the same structure.
For example, in a table that represents companies, each row would represent a single company. Columns might represent things like company name, company street address, whether the company is publicly held, its VAT number, etc.. In a table that represents the association of employees with departments, each row would associate one employee with one department.
In a less formal usage, e.g. for a database which is not formally relational, a record is equivalent to a row as described above, but is not usually referred to as a row.
The implicit structure of a row, and the meaning of the data values in a row, requires that the row be understood as providing a succession of data values, one in each column of the table. The row is then interpreted as a relvar composed of a set of tuples, with each tuple consisting of the two items: the name of the relevant column and the value this row provides for that column.