temporalCoverage
Dominios estimados
Descripción
The temporalCoverage of a CreativeWork indicates the period that the content applies to, i.e. that it describes, either as a DateTime or as a textual string indicating a time period in [ISO 8601 time interval format](https://en.wikipedia.org/wiki/ISO_8601#Time_intervals). In the case of a Dataset it will typically indicate the relevant time period in a precise notation (e.g. for a 2011 census dataset, the year 2011 would be written "2011/2012"). Other forms of content, e.g. ScholarlyArticle, Book, TVSeries or TVEpisode, may indicate their temporalCoverage in broader terms - textually or via well-known URL. Written works such as books may sometimes have precise temporal coverage too, e.g. a work set in 1939 - 1945 can be indicated in ISO 8601 interval format format via "1939/1945".
Open-ended date ranges can be written with ".." in place of the end date. For example, "2015-11/.." indicates a range beginning in November 2015 and with no specified final date. This is tentative and might be updated in future when ISO 8601 is officially updated.
Definición del vocabulario Schema.org (en inglés).
Evolución en el tiempo
Se necesitan al menos dos meses para mostrar una tendencia. La serie crecerá con cada actualización mensual.
Uso en Google Search
Contextos documentados por Google en los que esta propiedad es obligatoria o recomendada para rich results.
- Recomendadadataset
Text The data in the dataset covers a specific time interval. Only include this property if the dataset has a temporal dimension. Schema.org uses the ISO 8601 standard to describe time intervals and time points. You can describe dates differently depending upon the dataset interval. Indicate open-ended intervals with two decimal points (..). Single date "temporalCoverage" : "2008" Time period "temporalCoverage" : "1950-01-01/2013-12-18" Open-ended time period "temporalCoverage" : "2013-12-19/.."
Usada en los tipos
Las franjas indican el número de dominios únicos que usan el término. Son deliberadamente aproximadas para reducir el ruido y proteger la privacidad de los sitios. Cómo leer los datos.