Animal

An identifier for each Animal which must be unique within the Cycle.

A reference to the Term describing the Animal.

This field has additional validation rules when set:

• the term.termType must have one of the following values: liveAnimal, liveAquaticSpecies.

A description of the Animal type.

• The data are a time-weighted average over the Cycle. The recommended value.
• The data describe the Animal at the start of Cycle.
• The data describe the Animal at the end of Cycle.

Possible values are: average, start of Cycle, end of Cycle

The number of Animals per functionalUnit. If using an average reference period, the number should be a time-weighted average which takes into account transitions between different categories that occur during the Cycle (e.g., female calves becoming heifers) and mortalities.

An array of up to 1000 random samples from the posterior distribution of value

The standard deviation of value.

This field has additional validation rules when set:

• statsDefinition must also be set.

The minimum of value.

This field has additional validation rules when set:

• statsDefinition must also be set.

The maximum of value.

This field has additional validation rules when set:

• statsDefinition must also be set.

What the descriptive statistics (sd, min, max, and value) are calculated across, or whether they are simulated or the output of a model. spatial refers to descriptive statistics calculated across spatial units (e.g., pixels) within a region or country. time refers to descriptive statistics calculated across units of time (e.g., hours).

Possible values are: sites, cycles, replications, animals, other observations, time, spatial, regions, simulated, modelled

This field has additional validation rules when set:

• one of the following must be valid:
  • value must also be set.
  • min must also be set.
  • max must also be set.
  • sd must also be set.

The number of observations the descriptive statistics are calculated over.

The price of the Animal. The price should be expressed per animal. The currency must be specified.

This field has additional validation rules when set:

• currency must also be set.

The three letter currency code in ISO 4217 format.

A classification of the method used to acquire or estimate the term and value. Overrides the defaultMethodClassification specified in the Cycle. methodClassification should be specified separately for properties (see Property), inputs (see Input) and practices (see Practice).

• physical measurement means the amount is quantified using weighing, volume measurement, metering, chemical methods, or other physical approaches.
• verified survey data means the data are initially collected through surveys; all or a subset of the data are verified using physical methods; and erroneous survey data are discarded or corrected.
• non-verified survey data means the data are collected through surveys that have not been subjected to verification.
• modelled means a previously calibrated model is used to estimate this data point from other data points describing this Cycle.
• estimated with assumptions means a documented assumption is used to estimate this data point from other data points describing this Cycle.
• consistent external sources means the data are taken from external datasets referring to different producers/enterprises:
  • Using the same technology (defined as the same System or the same key Practices as those specified in the Cycle);
  • At the same date (defined as occurring within the startDate and endDate of the Cycle); and
  • In the same region or country.
  Modelling or assumptions may have also been used to transform these data.
• inconsistent external sources means the data are taken from external datasets referring to different producers/enterprises:
  • Using a different technology (defined as a different System or using different key Practices to those specified in the Cycle);
  • At a different date (defined as occurring within the startDate and endDate of the Cycle); or
  • In a different region or country.
  Modelling or assumptions may have also been used to transform these data.
• expert opinion means the data have been estimated by experts in the field.
• unsourced assumption means the data do not have a clear source and/or are based on assumptions only.

Possible values are: physical measurement, verified survey data, non-verified survey data, modelled, estimated with assumptions, consistent external sources, inconsistent external sources, expert opinion, unsourced assumption

This field has additional validation rules when set:

• methodClassificationDescription must also be set.

A justification of the methodClassification used. If the data were estimated with assumptions this field should also describe the assumptions. This is a required field if methodClassification is specified.

A reference to the Source of these data, if different from the defaultSource of the Cycle.

A list of references to any other sources of these data.

A list of Properties of the Animal type, which would override any default properties specified in the term.

properties cannot be duplicated. The following fields determine whether a Property is unique: term.@id, key.@id, date, startDate, endDate

The Inputs (e.g., feed or veterinary drugs). Values for each Input should be a sum over all animals represented by this blank node and not a value per head.

inputs cannot be duplicated. The following fields determine whether a Input is unique: term.@id, dates, startDate, endDate, isAnimalFeed, producedInCycle, transport.term.@id, operation.@id, country.@id, region.@id, impactAssessment.id

The Practices used to describe the system each Animal type is in or to describe management practices specific to each animal type (e.g., the Milk yield per cow (FPCM)).

practices cannot be duplicated. The following fields determine whether a Practice is unique: term.@id, key.@id, dates, startDate, endDate, areaPercent, ownershipStatus

The location of the JSON-LD context file.

The unique ID assigned to the Node by HESTIA.

Animal

The 10th percentile of value.

The 90th percentile of value.

The version of the schema when these data were created.

A list of fields that have been added to the original dataset.

A list of versions of the model used to add these fields.

A list of fields that have been updated on the original dataset.

A list of versions of the model used to update these fields.

A list of fields that have been 'aggregated' using data from multiple Cycles.

A list of versions of the aggregation engine corresponding to each aggregated field.