Type and Unit definitions

Adjustment factor distribution method types

Accepted justment factor distribution method types. Controlled terminology.

Table 282 Unit definition for Adjustment factor distribution method types.

Name	Short name	Aliases	Description
No adjustment factor	None		No adjustment factor.
Fixed adjustment factor	Fixed		Fixed adjustment factor.
LogNormal	LogNormal		Lognormal distribution with parameters a and b and offset c (default c = 0).
LogStudents_t	LogStudents_t		Log Students-t distribution with parameters a, b and c and offset d (default d = 0).
Beta	Beta		Beta distribution with shape parameters a and b on interval [c, d], (default = 0, 1).
Gamma	Gamma		Gamma distribution with shape parameter a and rate parameter b with offset = c (default = 0).

Assessment group membership calculation methods

Accepted Assessment group membership calculation methods. Controlled terminology.

Table 283 Unit definition for Assessment group membership calculation methods.

Name	Short name	Aliases	Description
Any (crisp)	Any (crisp)		Assign the highest membership value as membership. For crisp memberships, assign positive substance membership if any model indicates positive membership, and negative membership otherwise.
Majority (crisp)	Majority (crisp)		Assign positive substance membership if the majority of the membership models indicates positive membership, otherwise, the substance is considered not to be in the assessment group.
Ratio (probabilistic)	Ratio (probabilistic)		Express substance membership as a probability ranging from zero (certainly out) to one (certainly in), computed as the average membership score.
Bayesian (probabilistic)	Bayesian (probabilistic)		Express substance memberships as a probability with values ranging from zero (certainly out) to one (certainly in) computed using a Bayesian approach.

Benchmark response type

Accepted benchmark response types. Controlled terminology.

Table 284 Unit definition for Benchmark response type.

Name	Short name	Aliases	Description
Fraction change	Fraction change	FractionChange, FactorChange	The benchmark response is defined as a fraction change of the background response (i.e., defined for both increase and decrease). E.g., for a factor of 0.1, the benchmark response is at +/- 10% of background response.
Percentage change	Percentage change	PercentageChange	The benchmark response is defined as a percentage change of the background response (i.e., defined for both increase and decrease). E.g., for a percentage of 10, the benchmark response is at +/- 10% of background response.
Fraction of background response	Fraction of background	Factor, FactorOfBackground	The benchmark response is defined as a fraction of the background response. E.g., for a factor of 0.9, the benchmark response is at 0.9 times the background response (i.e., a decrease).
Percentage of background response	Percentage of background	Percentage, PercentageOfBackground	The benchmark response is defined as a percentage of the background response. E.g., for a percentage of 90, the benchmark response is at 90% of the background response (i.e., a decrease).
Extra risk	ER	ExtraRisk	For quantal response types. The benchmark dose is defined as the dose that corresponding with an extra risk of a factor times the background risk. A factor of 0.05 corresponds with 5% extra risk.
Additional risk	AR	AdditionalRisk	For quantal response types. The benchmark dose is defined as the dose that corresponding with an additional risk of a factor times the background risk. A factor of 0.05 corresponds with 5% additional risk.
ED50	ED50	ED50	For quantal response types. The benchmark dose is defined as the dose that corresponds with an estimated risk of 50% (ED50).
Absolute threshold value	Threshold value	Absolute	The benchmark dose is defined as an absolute threshold value.
Absolute difference	Absolute difference	Difference	The benchmark dose is defined an absolute difference with the background risk.

Biological matrix

Accepted types of biological matrices. Controlled terminology.

Table 285 Unit definition for Biological matrix.

Name	Short name	Aliases	Description
Whole body	Whole body	Body, Whole body, WholeBody, CTotal	Use whole body when the results apply to the whole body.
Blood	Blood	Blood, Whole blood, WholeBlood, Full blood, FullBlood, BWB, CPlasmaOut	The complete blood from a standard blood donation.
Blood serum	Serum	Serum, BloodSerum, Blood serum, BS	The portion of blood plasma that excludes clotting factors.
Blood plasma	Plasma	Plasma, BloodPlasma, Blood plasma, O_CP, BP	The liquid component of blood, in which erythrocytes are suspended.
Cord blood	Cord blood	CordBlood, Cord blood, CBWB	Blood that remains in the placenta and in the attached umbilical cord after childbirth.
Cord blood serum	Cord blood serum	CordBloodSerum, Cord blood serum, CBS	The portion of cord blood plasma that excludes clotting factors.
Cord blood plasma	Cord blood plasma	CordBloodPlasma, Cord blood plasma, CBP	The liquid component of cord blood, in which erythrocytes are suspended.
Venous blood	Venous blood	VenousBlood, Venous blood, O_CV, CVen	The deoxygenated blood which travels from the peripheral blood vessels.
Arterial blood	Arterial blood	ArterialBlood, Arterial blood, CArt, O_CA	The oxygenated blood in the circulatory system found in the pulmonary vein.
Brain blood	Brain blood	BrainBlood, Brain blood, O_CBrb	The blood present in the brain.
Urine	Urine	Urine, AurinebpaOut, AurinegOut, AurineTotalOut	A non-invasive matrix definition for urine, which can be sampled as spot, 24h or morning urine.
Saliva	Saliva	Saliva	The extracellular fluid produced and secreted by salivary glands in the mouth.
Semen	Semen	Semen	The fluid that is emitted from the male reproductive tract and that contains sperm cells.
Breath	Breath	Breath	The condensate of exhaled breath.
Red blood cells	Red blood cells	RedBloodCells	The red blood cells.
Breast milk	Breast milk	BreastMilk	The human milk as a biological system.
Fat (adipose) tissue	Body fat	AdiposeTissue, Adipose Tissue, Body fat, BodyFat, FatTissue, CFat, O_CF	Adipose tissue, body fat, or simply fat is the main reservoir of fat in the body beneath the skin.
Hair	Hair	Hair	The human hair as a non-invasive matrix for biomarkers of exposure.
Toenails	Toenails	ToeNails	The layer of cells situated at the base of the fingernail or the toenail.
Big toenails	Big toenails	BigToeNails	The layer of cells situated at the base of the big fingernail or the big toenail.
Outer skin	Outer skin	OuterSkin	The extracellular connective tissue matrix of the skin.
Amniotic fluid	Amniotic fluid	AmnioticFluid	The amniotic fluid is the protective liquid contained by the amniotic sac, serves as a cushion for the growing fetus.
Placenta tissue	Placenta	Placenta, PlacentaTissue	The tissues which support fetal development.
Uterus tissue	Uterus	Uterus, UterusTissue, O_CU	The uterus or womb is the organ in the reproductive system that accommodates the fetal development until birth.
Liver tissue	Liver	Liver, CLiver, O_CL	The liver as biological matrix.
Muscle tissue	Muscle	Muscle, CPoor, O_CM	Perfused tissue (muscle) concentration.
Viscera tissue	Viscera	Viscera, CRich	Perfused tissue of the viscera, the soft internal organs of the body, especially the intestines.
Exposed viable skin	Exposed viable skin	SkinViableExposed, CSkin_e	The viable skin, exposed to open air.
Unexposed viable skin	Unexposed viable skin	SkinViableUnexposed, CSkin_u	The viable skin, not exposed to the open air.
Exposed stratum corneum	Exposed stratum corneum	StratumCorneumExposed, CSkin_sc_e	The outermost layer of the epidermis, exposed to the open air.
Unexposed stratum corneum	Unexposed stratum corneum	StratumCorneumUnexposed, CSkin_sc_u	The outermost layer of the epidermis, not exposed to the open air.
Renal or kidney tissue	Renal tissue	Renal, Kidney, O_ACL, O_CK	The renal or kidney as organ of biological matrix.
Heart tissue	Heart	Heart, O_CH	The heart as organ of biological matrix.
Lung tissue	Lung	Lung, O_CLu	The lung as organ of biological matrix.
Brain tissue	Brain	Brain, BrainTissue, O_CBrt, O_CBr	The brain as organ of biological matrix.
Gonad tissue	Gonad	Gonad, GonadTissue, CGonadOut, O_CBr	The biological matrix of the reproductive system that produces and releases eggs (ovary) or sperm (testicle/testis).
Slowly perfused tissue	Slowly perfused tissue	SlowlyPerfusedTissue, Slowly perfused tissue, O_CS	The biological matrix of poorly perfused tissue include skin and subcutaneous tissue, and resting muscle.
Richly perfused tissue	Richly perfused tissue	RichlyPerfusedTissue, Richly perfused tissue, O_CR	The biological matrix of richly perfused tissue include liver, heart, lungs, kidneys, and brain.

Biological organisation type

Accepted biological organisation types. Controlled terminology.

Table 286 Unit definition for Biological organisation type.

Name	Short name	Aliases	Description
Molecular	Molecular	Molecular	Molecular level
Cellular	Cellular	Cellular	Cellular level
Tissue	Tissue	Tissue	Tissue level
Organ	Organ	Organelle, Organ	Organ level
Individual	Individual	Individual	Whole body level
Population	Population	Population	Population level

Body weight unit

Accepted units for person body weights. Controlled terminology.

Table 287 Unit definition for Body weight unit.

Name	Short name	Aliases
kilogram	kg	kg, kilograms, kilogr, 3, G167A
gram	g	g, grams, gr, 0, G148A

Boolean type

Accepted boolean types. Controlled terminology.

Table 288 Unit definition for Boolean type.

Name	Short name	Aliases
True	True	True, Yes, T, Y
False	False	False, F, No, N

Cluster method type

Accepted cluster method types. Controlled terminology.

Table 289 Unit definition for Cluster method type.

Name	Short name	Aliases	Description
Component selection (SNMU)	NoClustering		Only component selection is performed.
Component selection and population subgrouping (SNMU + k-means clustering)	Kmeans		Component selection followed by K-Means clustering of individuals based on their component exposure. K-means classifies individuals in multiple groups (i.e., clusters), such that individuals within the same cluster are as similar as possible (i.e., high intra-class similarity), whereas individuals from different clusters are as dissimilar as possible (i.e., low inter-class similarity). In k-means clustering, each cluster is represented by its center (i.e, centroid) which corresponds to the mean of points assigned to the cluster.
Component selection and population subgrouping (SNMU + hierarchical clustering)	Hierarchical		Component selection followed by hierarchical (Ward’s) clustering of individuals based on their component exposure. Hierachical clustering builds a hierarchy from the bottom-up, and doesn’t require to specify the number of clusters beforehand. Hierarchical clustering produces a tree-based representation of the observations known as a dendrogram.

Combination method membership info and PoD presence types

Accepted Combination method membership info and PoD presence types. Controlled terminology.

Table 290 Unit definition for Combination method membership info and PoD presence types.

Name	Short name	Aliases	Description
Consider active if POD/HC AND (in-silico) memberships indicate active	Intersection		Consider active if POD/HC AND (in-silico) memberships indicate active.
Consider active if POD/HC OR (in-silico) memberships indicates active	Union		Consider active if POD/HC OR (in-silico) memberships indicates active.

Concentration limit value type

Accepted concentration limit value types. Controlled terminology.

Table 291 Unit definition for Concentration limit value type.

Name	Short name	Aliases
Maximum residue limit	MRL	MRL, MaximumResidueLimit
Proposed maximum residue limit	Proposed-MRL	ProposedMrl, ProposedMaximumResidueLimit

Concentration model types

Accepted Concentration model types. Controlled terminology.

Table 292 Unit definition for Concentration model types.

Name	Short name	Aliases	Description
Empirical	Empirical		Residues are sampled from the empirical distribution. Fallback: zero.
Censored value Spike LogNormal	CVSpike-LogN		A lognormal model (logarithmic transformed values, with parameters mu and sigma^2) is fitted to the positive residues values. LOR information is not used. Fallback (if number of positives less than 2): Empirical, but Maximum Residu Limit for pessimistic assessments.
Censored Spike Truncated LogNormal	CVSpike-TruncLogN		A truncated lognormal model (with parameters mu and sigma^2) is fitted to the positive residues values. The LOR is used to estimate the truncated left tail of the distribution. Fallback: Lognormal non-detect spike.
Censored LogNormal	CensLogN		Advanced. A censored lognormal model (with parameters mu and sigma^2) is fitted to the censored and positives residue values. Note, this model is not available when agricultural use information is used. Fallback: Lognormal non-detect spike.
Zero Spike Censored LogNormal	ZeroSpike-CensLogN		Advanced. A mixture model with zero spike (p0) and censored lognormal model (with parameters mu and sigma^2) is fitted to the censored and positives residue values. Note, this model is not available when agricultural use information is used. Fallback: Censored lognormal.
Censored Spike Maximum Residue Limit	CVSpike-MRL		Censored Spike Maximum Residue Limit.
Summary statistics	Summary statistic		Summary statistics.
LogNormal	LogN		Lognormal model.

Concentration unit

Accepted units for substance concentrations. Controlled terminology.

Table 293 Unit definition for Concentration unit.

Name	Short name	Aliases
kilogram/kilogram	kg/kg	kg/kg, kilogram/kilogram, kilogram/kg, 0, G063A
gram/kilogram	g/kg	g/kg, gram/kilogram, gram/kg, gr/kg, -3, G015A, G060A, G191A
milligram/kilogram	mg/kg	mg/kg, milligram/kilogram, milligram/kg, milligr/kg, -6, G049A, G061A
microgram/kilogram	µg/kg	µg/kg, ug/kg, microgram/kilogram, microgram/kg, microgr/kg, -9, G050A, G076A
nanogram/kilogram	ng/kg	ng/kg, nanogram/kilogram, nanogram/kg, nanogr/kg, -12, G077A, G080A
picogram/kilogram	pg/kg	pg/kg, picogram/kilogram, picogram/kg, picogr/kg, -15, G081A
kilogram/liter	kg/L	kg/l, kg/L, kilogram/liter, kilogram/litre, G017A
gram/liter	g/L	g/l, g/L, gram/liter, gram/litre, gr/l, gr/L, G016A
milligram/liter	mg/L	mg/l, mg/L, milligram/liter, milligram/litre, milligr/l, milligr/L, G052A, G062A
microgram/liter	µg/L	µg/l, ug/L, microgram/liter, microgram/litre, microgr/l, microgr/L, G051A, G079A
nanogram/liter	ng/L	ng/l, ng/L, nanogram/liter, nanogram/litre, nanogr/l, nanogr/L, G078A
picogram/liter	pg/L	pg/l, pg/L, picogram/liter, picogram/litre, picogr/l, picogr/L
microgram/milliliter	µg/mL	µg/ml, ug/mL, microgram/milliliter, microgram/millilitre, microgr/ml, microgr/mL
nanogram/milliliter	ng/mL	ng/ml, ng/mL, nanogram/milliliter, nanogram/millilitre, nanogr/ml, nanogr/mL
milligram/deciliter	mg/dL	mg/dl, milligram/deciliter, milligr/dL, milligr/dl
microgram/gram	µg/g	µg/g, µgram/gram, µg/gr, ug/g, ugram/gram, ug/gr
nanogram/gram	ng/g	ng/g, ngram/gram, ngr/gr

Concentration value type

Accepted concentration value type. Controlled terminology.

Table 294 Unit definition for Concentration value type.

Name	Short name	Aliases	Description
Mean concentration	MC	MeanConcentration, ConcentrationMean, MC	Mean value from the residue trials.
Median concentration	MR	MedianConcentration, MR, STMR, SupervisedTrialMedianResidue	Median concentration / residue value of the positive measurements of the residue trials.
Highest concentration	HR	HighestConcentration, HighestResidue, HR	Highest measured residue / concentration value.
Concentration percentile	CP	Percentile
Limit of quantification	LOQ	LOQ
Maximum residue limit	MRL	MRL

Consumption intake unit

Accepted units for consumption intake amounts. Controlled terminology.

Table 295 Unit definition for Consumption intake unit.

Name	Short name	Aliases
gram/kilogram bodyweight/day	g/kg bw/day	g/kg bw, gram/kg bw, g/kg bw/day, gram/kg bw/day, gr/kg bw/day, G212A
gram/day	g/day	gram, grams, g/day, g/day, gram/day, gr/day

Consumption unit

Accepted units for consumption amounts. Controlled terminology.

Table 296 Unit definition for Consumption unit.

Name	Short name	Aliases
kilogram	kg	kg, kilograms, kilogr, 3, G167A
gram	g	g, grams, gr, 0, G148A

Consumption value type

Accepted consumption value types. Controlled terminology.

Table 297 Unit definition for Consumption value type.

Name	Short name	Aliases
Large portion	LP	LP, LargePortion
Mean consumption	MC	MC, MeanConsumption
Percentile	Percentile	Percentile, P

Covariate model types

Accepted Covariate model types. Controlled terminology.

Table 298 Unit definition for Covariate model types.

Name	Short name	Aliases	Description
Only constant	Constant		No relation between exposure and e.g. age or gender.
Only covariable	Covariable		Exposure depends on the covariable, e.g. age.
Only cofactor	Cofactor		Exposure depends on the level of the cofactor, e.g. gender.
Both covariable and cofactor	CovariableCofactor		Exposure depends on both covariable and cofactor (additive model).
Both covariable and cofactor and interaction	CovariableCofactorInteraction		Exposure depends on both covariable and cofactor and the effect of the covariable differs for different levels of the cofactor (multiplicative model).

Dietary exposures details level types

Accepted ietary exposures details level types. Controlled terminology.

Table 299 Unit definition for Dietary exposures details level types.

Name	Short name	Aliases	Description
Full	Full		Show all details.
Restrict to risk-drivers (dietary exposures screening)	OnlyRiskDrivers		Restrict to detailed output for risk-drivers identified by dietary exposures screening.
Omit foods-as-eaten details	OmitFoodsAsEaten		Restrict to detailed output for modelled foods and substances. Omit foods-as-eaten details.

Dose response model type

Accepted dose response model types. Controlled terminology.

Table 300 Unit definition for Dose response model type.

Name	Short name	Aliases	Description
Exp-m1	Exp-m1	Expm1	Exponential model 1
Exp-m2	Exp-m2	Expm2	Exponential model 2
Exp-m3	Exp-m3	Expm3	Exponential model 3
Exp-m4	Exp-m4	Expm4	Exponential model 4
Exp-m5	Exp-m5	Expm5	Exponential model 5
Hill-m1	Hill-m1	Hillm1	Hill model 1
Hill-m2	Hill-m2	Hillm2	Hill model 2
Hill-m3	Hill-m3	Hillm3	Hill model 3
Hill-m4	Hill-m4	Hillm4	Hill model 4
Hill-m5	Hill-m5	Hillm5	Hill model 5
TwoStage	TwoStage	TwoStage
LogLogist	LogLogist	LogLogist
Weibull	Weibull	Weibull
LogProb	LogProb	LogProb
Gamma	Gamma	Gamma
Logistic	Logistic	Logistic
Probit	Probit	Probit
LVM Exp m2	LVM Exp m2	LVM Exp m2
LVM Exp m3	LVM Exp m3	LVM_Exp_M3
LVM Exp m4	LVM Exp m4	LVM_Exp_M4
LVM Exp m5	LVM Exp m5	LVM_Exp_M5
LVM Hill m2	LVM Hill m2	LVM Hill m2
LVM Hill m3	LVM Hill m3	LVM_Hill_M3
LVM Hill m4	LVM Hill m4	LVM_Hill_M4
LVM Hill m5	LVM Hill m5	LVM Hill m5

Dose unit

Accepted units for substance doses. Controlled terminology.

Table 301 Unit definition for Dose unit.

Name	Short name	Aliases
gram/kilogram bodyweight/day	g/kg bw/day	g/kg bw/day, gram/kg bw/day, gr/kg bw/day, G212A
milligram/kilogram bodyweight/day	mg/kg bw/day	mg/kg bw/day, milligram/kg bw/day, milligr/kg bw/day, G211A
microgram/kilogram bodyweight/day	µg/kg bw/day	µg/kg bw/day, microgram/kg bw/day, microgr/kg bw/day, G210A
nanogram/kilogram bodyweight/day	ng/kg bw/day	ng/kg bw/day, nanogram/kg bw/day, nanogr/kg bw/day, G214A
picogram/kilogram bodyweight/day	pg/kg bw/day	pg/kg bw/day, picogram/kg bw/day, picogr/kg bw/day
femtogram/kilogram bodyweight/day	fg/kg bw/day	fg/kg bw/day, femtogram/kg bw/day, femtogr/kg bw/day
gram/gram bodyweight/day	g/g bw/day	g/g bw/day, gram/g bw/day, gr/g bw/day
milligram/gram bodyweight/day	mg/g bw/day	mg/g bw/day, milligram/g bw/day, milligr/g bw/day
microgram/gram bodyweight/day	µg/g bw/day	µg/g bw/day, microgram/g bw/day, microgr/g bw/day
nanogram/gram bodyweight/day	ng/g bw/day	ng/g bw/day, nanogram/g bw/day, nanogr/g bw/day
picogram/gram bodyweight/day	pg/g bw/day	pg/g bw/day, picogram/g bw/day, picogr/g bw/day
femtogram/gram bodyweight/day	fg/g bw/day	fg/g bw/day, femtogram/g bw/day, femtogr/g bw/day
kilogram/day	kg/day	kg/day, kilogram/day, kilogr/day
gram/day	g/day	g/day, gram/day, gr/day
milligram/day	mg/day	mg/day, milligram/day, milligr/day
microgram/day	µg/day	µg/day, microgram/day, microgr/day
nanogram/day	ng/day	ng/day, nanogram/day, nanogr/day
picogram/day	pg/day	pg/day, picogram/day, picogr/day
femtogram/day	fg/day	fg/day, femtogram/day, femtogr/day
kilogram/kilogram	kg/kg	kg/kg, kilogram/kilogram, kilogram/kg, kg/kg bw
gram/kilogram	g/kg	g/kg, gram/kilogram, gram/kg, gr/kg, g/kg bw
milligram/kilogram	mg/kg	mg/kg, milligram/kilogram, milligram/kg, milligr/kg, mg/kg bw, G225A
microgram/kilogram	µg/kg	µg/kg, microgram/kilogram, microgram/kg, microgr/kg, µg/kg bw
nanogram/kilogram	ng/kg	ng/kg, nanogram/kilogram, nanogram/kg, nanogr/kg, ng/kg bw
picogram/kilogram	pg/kg	pg/kg, picogram/kilogram, picogram/kg, picogr/kg, pg/kg bw
molar	M	M, mol/L
millimolar	mM	mM, mmol/L
micromolar	µM	uM, µM, umol/L
nanomolar	nM	nM, nmol/L
moles	moles	moles, Moles
millimoles	mmoles	mmoles, mMoles
micromoles	µmoles	umoles, uMoles
nanomoles	nmoles	nmoles, nMoles
gram/kilogram bodyweight/week	g/kg bw/week	g/kg bw/week, gram/kg bw/week, gr/kg bw/week, G218A
milligram/kilogram bodyweight/week	mg/kg bw/week	mg/kg bw/week, milligram/kg bw/week, milligr/kg bw/week, G217A
microgram/kilogram bodyweight/week	µg/kg bw/week	µg/kg bw/week, microgram/kg bw/week, microgr/kg bw/week, G216A
nanogram/kilogram bodyweight/week	ng/kg bw/week	ng/kg bw/week, nanogram/kg bw/week, nanogr/kg bw/week, G215A
picogram/kilogram bodyweight/week	pg/kg bw/week	pg/kg bw/week, picogram/kg bw/week, picogr/kg bw/week
femtogram/kilogram bodyweight/week	fg/kg bw/week	fg/kg bw/week, femtogram/kg bw/week, femtogr/kg bw/week
gram/gram bodyweight/week	g/g bw/week	g/g bw/week, gram/g bw/week, gr/g bw/week
milligram/gram bodyweight/week	mg/g bw/week	mg/g bw/week, milligram/g bw/week, milligr/g bw/week
microgram/gram bodyweight/week	µg/g bw/week	µg/g bw/week, microgram/g bw/week, microgr/g bw/week
nanogram/gram bodyweight/week	ng/g bw/week	ng/g bw/week, nanogram/g bw/week, nanogr/g bw/week
picogram/gram bodyweight/week	pg/g bw/week	pg/g bw/week, picogram/g bw/week, picogr/g bw/week
femtogram/gram bodyweight/week	fg/g bw/week	fg/g bw/week, femtogram/g bw/week, femtogr/g bw/week
kilogram/week	kg/week	kg/week, kilogram/week, kilogr/week
gram/week	g/week	g/week, gram/week, gr/week
milligram/week	mg/week	mg/week, milligram/week, milligr/week
microgram/week	µg/week	µg/week, microgram/week, microgr/week
nanogram/week	ng/week	ng/week, nanogram/week, nanogr/week
picogram/week	pg/week	pg/week, picogram/week, picogr/week
femtogram/week	fg/week	fg/week, femtogram/week, femtogr/week
kilogram/liter	kg/L	kg/l, kg/L, kilogram/liter, kilogram/litre, G017A
gram/liter	g/L	g/l, g/L, gram/liter, gram/litre, gr/l, gr/L, G016A
milligram/liter	mg/L	mg/l, mg/L, milligram/liter, milligram/litre, milligr/l, milligr/L, G052A, G062A
microgram/liter	µg/L	µg/l, ug/L, microgram/liter, microgram/litre, microgr/l, microgr/L, G051A, G079A
nanogram/liter	ng/L	ng/l, ng/L, nanogram/liter, nanogram/litre, nanogr/l, nanogr/L, G078A
picogram/liter	pg/L	pg/l, pg/L, picogram/liter, picogram/litre, picogr/l, picogr/L
milligram/gram	mg/g	mg/g, milligram/gram
microgram/gram	µg/g	µg/g, microgram/gram
nanogram/gram	ng/g	ng/g, nanogram/gram
picogram/gram	pg/g	pg/g, picogram/gram

Estimates nature types

Accepted Estimates nature types. Controlled terminology.

Table 302 Unit definition for Estimates nature types.

Name	Short name	Aliases	Description
Realistic	Realistic		For lognormal: no censoring at the value of the composite sample concentration, no upper limit to the unit concentration. For Beta: no censoring at the value of the composite sample concentration, unit values are never higher than the number of units in composite sample * value of composite sample concentration.
Conservative	Conservative		For lognormal: unit values will be left-censored at the value of the composite sample concentration, no upper limit to the unit concentration. For Beta: unit values will be left-censored at the value of the value of composite sample concentration, unit are values never higher than the number of units in composite sample * value of composite sample concentration.

Exposure approach types

Accepted Exposure approach types. Controlled terminology.

Table 303 Unit definition for Exposure approach types.

Name	Short name	Aliases	Description
Risk based (RPFs)	Risk based (RPFs)		Exposures are multiplied by the RPF and thus exposures to different substances are on the same and comparable scale.
Standardised	Standardised		All substances are standardised to equal variance (selection of the components will work on patterns of correlation only).
Unstandardised (RPFs = 1)	ExposuresUW		Exposures as such are taken (unstandardised). This is equivalent to RPFs equal to 1. Thus exposures to different substances are not on the same and comparable scale anymore.

Exposure method types

Accepted Exposure method types. Controlled terminology.

Table 304 Unit definition for Exposure method types.

Name	Short name	Aliases	Description
Manual	Manual		Exposure levels are determined by explicit specification.
Automatic	Automatic		Exposure levels are generated automatically based on the estimated exposure distribution.

Exposure route type

Accepted exposure routes how an individual is exposed to substance concentrations. Controlled terminology.

Table 305 Unit definition for Exposure route type.

Name	Short name	Aliases	Description
Dietary exposure	Dietary	Dietary	Dietary exposure.
Non-dietary oral exposure	Oral	Oral	Non-dietary oral exposure.
Non-dietary dermal exposure	Dermal	Dermal	Non-dietary dermal exposure.
Non-dietary inhalation exposure	Inhalation	Inhalation	Non-dietary inhalation exposure.
At target	At target	AtTarget	Exposures directly at the target (organ).

Exposure type

Accepted exposure types. Controlled terminology.

Table 306 Unit definition for Exposure type.

Name	Short name	Aliases	Description
Acute	Acute	Acute	Acute exposure.
Chronic	Chronic	Chronic	Chronic exposure.

Expression type

Expression types define the way in which a substance amount may be standardised, or possible other way expressed. For example, a substance in urine may be expressed in terms of a creatinine standardisation. Controlled terminology.

Table 307 Unit definition for Expression type.

Name	Short name	Aliases	Description
None	None	None	No expression type.
lipids	lipids	Lipids	Standardise lipid-soluble substances by total lipid content.
creatinine	creatinine	Creatinine	Standardise substance concentrations by creatinine content.

External exposure unit

Accepted units for external exposures.

Table 308 Unit definition for External exposure unit.

Name	Short name	Aliases
gram/kilogram bodyweight/day	g/kg bw/day	g/kg bw/day, g/kg/day, gram/kg bw/day, gr/kg bw/day, G212A
milligram/kilogram bodyweight/day	mg/kg bw/day	mg/kg bw/day, mg/kg/day, milligram/kg bw/day, milligr/kg bw/day, G211A
microgram/kilogram bodyweight/day	µg/kg bw/day	µg/kg bw/day, µg/kg/day, microgram/kg bw/day, microgr/kg bw/day, G210A
nanogram/kilogram bodyweight/day	ng/kg bw/day	ng/kg bw/day, ng/kg/day, nanogram/kg bw/day, nanogr/kg bw/day, G214A
picogram/kilogram bodyweight/day	pg/kg bw/day	pg/kg bw/day, picogram/kg bw/day, picogr/kg bw/day
femtogram/kilogram bodyweight/day	fg/kg bw/day	fg/kg bw/day, fg/kg/day, femtogram/kg bw/day, femtogr/kg bw/day
gram/gram bodyweight/day	g/g bw/day	g/g bw/day, g/g/day, gram/g bw/day, gr/g bw/day
milligram/gram bodyweight/day	mg/g bw/day	mg/g bw/day, mg/g/day, milligram/g bw/day, milligr/g bw/day
microgram/gram bodyweight/day	µg/g bw/day	µg/g bw/day, µg/g/day, microgram/g bw/day, microgr/g bw/day
nanogram/gram bodyweight/day	ng/g bw/day	ng/g bw/day, nanogram/g bw/day, nanogr/g bw/day
picogram/gram bodyweight/day	pg/g bw/day	pg/g bw/day, pg/g/day, picogram/g bw/day, picogr/g bw/day
femtogram/gram bodyweight/day	fg/g bw/day	fg/g bw/day, fg/g/day, femtogram/g bw/day, femtogr/g bw/day
kilogram/day	kg/day	kg/day, kilogram/day, kilogr/day
gram/day	g/day	g/day, gram/day, gr/day
milligram/day	mg/day	mg/day, milligram/day, milligr/day
microgram/day	µg/day	µg/day, microgram/day, microgr/day
nanogram/day	ng/day	ng/day, nanogram/day, nanogr/day
picogram/day	pg/day	pg/day, picogram/day, picogr/day
femtogram/day	fg/day	fg/day, femtogram/day, femtogr/day
gram/kilogram	g/kg	g/kg, gram/kg, gr/kg, G015A
milligram/kilogram	mg/kg	mg/kg, milligram/kg, milligr/kg, G061A
microgram/kilogram	µg/kg	µg/kg, microgram/kg, microgr/kg, G050A
nanogram/kilogram	ng/kg	ng/kg, nanogram/kg, nanogr/kg, G077A
picogram/kilogram	pg/kg	pg/kg, picogram/kg, picogr/kg, G081A
femtogram/kilogram	fg/kg	fg/kg, femtogram/kg, femtogr/kg

Focal commodity replacement method types

Accepted Focal commodity replacement method types. Controlled terminology.

Table 309 Unit definition for Focal commodity replacement method types.

Name	Short name	Aliases	Description
Replace samples with focal commodity samples	Replace samples with focal commodity samples		Replace all samples of the selected focal commodity/commodities.
Append focal commodity samples	Append focal commodity samples		Add the samples of the focal commodity/commodities to the background concentration data.
Replace measurements of focal food/substance combinations with measurements from focal commodity samples	Replace measurements of focal food/substance combinations with measurements from focal commodity samples		Replace the substance concentrations of the background concentrations by substance concentrations from the focal commodity concentration data.
Remove measurements of focal food/substance combinations	Remove measurements of focal food/substance combinations		Remove substance measurements for the selected focal food/substance combinations.
Replace measurements of focal food/substance combinations with concentration limit value	Replace measurements of focal food/substance combinations with concentration limit value		Replace the substance concentrations of the background concentrations by a concentration limit value.

Function types

Accepted Function types. Controlled terminology.

Table 310 Unit definition for Function types.

Name	Short name	Aliases	Description
Polynomial	Polynomial		A polynomial regression fits a nonlinear relationship between the value of the independent variable (e.g. age) and the corresponding conditional mean of y (here the exposure). A polynomial with a degree of 0 is simply a constant function; with a degree of 1 is a line; with a degree of 2 is a quadratic; with a degree of 3 is a cubic, and so on.
Spline	Spline		A spline fits a nonlinear relationship between the value of the independent variable (e.g. age) and the corresponding conditional mean of y (here the exposure). A spline with a degree of 0 is simply a constant function; with a degree of 1 is a line; with a degree of 2 is a quadratic; with a degree of 3 is a cubic, and so on.

Gender type

Accepted gender types. Controlled terminology.

Table 311 Unit definition for Gender type.

Name	Short name	Aliases	Description
Female	F	Female, F	Female
Male	M	Male, M	Male

Harvest application type

Accepted harvest application types. Controlled terminology.

Table 312 Unit definition for Harvest application type.

Name	Short name	Aliases	Description
Pre-harvest application	Pre-harvest	PreHarvest	Pre-harvest application
Post-harvest application	Post-harvest	PostHarvest	Post-harvest application

Hazard characterisation type

Accepted hazard characterisation types. Controlled terminology.

Table 313 Unit definition for Hazard characterisation type.

Name	Short name	Aliases
Benchmark dose	BMD	BMD
No observed adverse effect level	NOAEL	NOAEL
Lowest observed adverse effect level	LOAEL	LOAEL
Acceptable daily intake	ADI	ADI
Acute reference dose	ARfD	ARfD
No observed effect level	NOEL	NOEL
Tolerable daily intake	TDI	TDI
Tolerable weekly intake	TWI	TWI
Benchmark dose lower confidence limit of 1%	BMDL01	BMDL01
Benchmark dose lower confidence limit of 10%	BMDL10	BMDL10
Human biomonitoring guidance values	HBMGV	HBMGV
Other	Other	Other

Hazard dose imputation method types

Accepted Hazard dose imputation method types. Controlled terminology.

Table 314 Unit definition for Hazard dose imputation method types.

Name	Short name	Aliases	Description
Munro P5 (TTC approach)	Munro P5 (TTC approach)		Use the P5 of the Munro NOEL collection.
Munro central value	Munro central value		Use an unbiased nominal value from the Munro NOEL collection; draw randomly from this collection in the uncertainty runs.
Available hazard characterisations distribution P5	Available hazard characterisations distribution P5		Use the P5 of the available points of departure.
Available hazard characterisations distribution central value	Available hazard characterisations distribution central value		Use an unbiased nominal value from the collection of available points of departure; draw randomly from this collection in the uncertainty runs.

Health effect types

Accepted Health effect types. Controlled terminology.

Table 315 Unit definition for Health effect types.

Name	Short name	Aliases	Description
Risk	Risk		Health effect is negative (risk).
Benefit	Benefit		Health effect is positive (benefit).

Individual property type

Accepted individual property types. Controlled terminology.

Table 316 Unit definition for Individual property type.

Name	Short name	Aliases	Description
Categorical	Categorical	Categorical	Categorical e.g. blood type A, B, AB, O or region East, West, North, South.
Boolean	Boolean	Boolean	Boolean e.g. yes, no, true, false. See Boolean types unit definitions.
Numeric	Numeric	Numeric	Numeric, real numbers.
Nonnegative	Nonnegative	Nonnegative	Nonnegative real numbers, positive or zero.
Integer	Integer	Integer	Integer, integer numbers.
NonnegativeInteger	NonnegativeInteger	NonnegativeInteger	NonnegativeInteger integer numbers, positive or zero.
Month	Month	Month	Month. See Month types unit definitions.
DateTime	DateTime	DateTime	DateTime, period.
Gender	Gender	Gender, Sex	Gender, sex or sexuality. See Gender types unit definitions.
Location	Location	Location	Location, country.
Isced	Isced	Isced, Education	ISCED, education level. See Isced types unit definitions.
JobTask	JobTask	JobTask, WorkTask	Job task. See JobTask types unit definitions.

Individual subset types

Methods for selecting/matching survey individuals with a specified/scoped population.

Table 317 Unit definition for Individual subset types.

Name	Short name	Aliases	Description
Match individuals selection to population definition	Match to population definition		Match individuals selection to population definition.
Ignore population definition (use all individuals in survey)	Ignore population definition		Ignore population definition (use all individuals in survey).
Match individuals selection to population definition using selected properties only	Match using selected properties		Match individuals selection to population definition using selected properties only.

Intake model types

Accepted Intake model types. Controlled terminology.

Table 318 Unit definition for Intake model types.

Name	Short name	Aliases	Description
Observed Individual Means	OIM		Observed Individual Means: just the empirical means over the observed days.
BetaBinomial Normal	BBN		BetaBinomial distribution for frequency of exposure + (transformed) Normal distribution for amounts (de Boer et al. 2009).
Logistic-Normal Normal	LNN0		Logistic-Normal distribution for frequency of exposure + (transformed) Normal distribution for amounts.
Logistic-Normal Normal with correlation	LNN		Logistic-Normal distribution for frequency of exposure + (transformed) Normal distribution for amounts. Both models are estimated taking into account the correlation between exposure frequency and amounts.
Iowa State University Foods model	ISUF		Iowa State University Foods model: semiparametric distribution for frequency of exposure + (transformed) Normal distribution for amounts (de Boer et al. 2009, Dodd (1996)).

Internal concentration types

Accepted Internal concentration types. Controlled terminology.

Table 319 Unit definition for Internal concentration types.

Name	Short name	Aliases	Description
Internal modelled concentrations	Internal modelled concentrations		Internal modelled concentrations from dietary and/or non-dietary routes, aggregated.
Human monitoring concentrations	Human monitoring concentrations		Human monitoring concentrations as measured in blood, urine or other compartments.

Internal model type

Accepted internal model types. PBK model or absorption factor model Controlled terminology.

Table 320 Unit definition for Internal model type.

Name	Short name	Aliases	Description
Absorption Factor Model	AbsorptionFactorModel	AbsorptionFactorModel	Use absorption factor model.
PBK Model	PBKModel	PBKModel	Use PBK model.
Conversion Factor Model	ConversionFactorModel	ConversionFactorModel	A low-tier model that uses constant conversion factors read form a data source.

Isced type

Accepted International Standard Classification of Education (ISCED) types.

Table 321 Unit definition for Isced type.

Name	Short name	Aliases	Description
EarlyChildhoodEducation	ECE	EarlyChildhoodEducation, ECE	Early childhood education
PrimaryEducation	PE	PrimaryEducation, PE	Primary education
LowerSecondaryEducation	LSE	LowerSecondaryEducation, LSE	Lower secondary education
UpperSecondaryEducation	USE	UpperSecondaryEducation, USE	Upper secondary education
PostSecondaryNonTertiaryEducation	PSNTE	PostSecondaryNonTertiaryEducation, PSNTE	Post-secondary non-tertiary education
ShortCycleTertiaryEducation	SCTE	ShortCycleTertiaryEducation, SCTE	Short-cycle tertiary education
BachelorsOrEquivalentLevel	BOEL	BachelorsOrEquivalentLevel, BOEL	Bachelor’s or equivalent level
MastersOrEquivalentLevel	MOEL	MastersOrEquivalentLevel, MOEL	Master’s or equivalent level
DocteralOrEquivalentLevel	DOEL	DocteralOrEquivalentLevel, DOEL	Docteral or equivalent level

Job task type

Accepted Job Task types.

Table 322 Unit definition for Job task type.

Name	Short name	Aliases	Description
BathPlating	BP	BathPlating, BP	Bath plating
ChromePaintApplications	CPA	ChromePaintApplications, CPA	Chrome paint applications
Machining	MA	Machining, MA	Machining
Welding	WE	Welding, WE	Welding
ThermalSpraying	TS	ThermalSpraying, TS	Thermal spraying
SteelProduction	SP	SteelProduction, SP	Steel production
MaintenanceAndLaboratoryWorkers	MALW	MaintenanceAndLaboratoryWorkers, MALW	Maintenance and laboratory workers

Kinetic conversion type

Kinetic conversion defines whether a default factor 1 is used or a kinetic conversion factor based on a kinetic model (see table KineticConversionFactors).

Table 323 Unit definition for Kinetic conversion type.

Name	Short name	Aliases	Description
Convert using conversion factor of 1	Default	Default	A default conversion factor of 1 is used to convert biological matrices.
Convert using kinetic models	KineticConversion	KineticConversion	Kinetic conversion factors are used to convert biological matrices using factors or PBK models (not yet implemented).

Mean value correction types

Accepted Mean value correction types. Controlled terminology.

Table 324 Unit definition for Mean value correction types.

Name	Short name	Aliases	Description
Unbiased	Unbiased		The mean of the lognormal is unbiased (bias correction).
Biased	Biased		The mean of the lognormal is biased (no bias correction).

Measurement result type

Specifies the type of a measurement result. E.g., a positive value, a non-detect, or missing value.

Table 325 Unit definition for Measurement result type.

Name	Short name	Aliases	Description
VAL	VAL	VAL	Positive measurement greater than zero.
LOD	LOD	LOD	Measurement below the limit of detection (LOD).
LOQ	LOQ	LOQ	Measurement below the limit of quantification (LOQ).
MV	MV	MV	Missing value (MV).

Missing value imputation method types

Accepted Missing value imputation method types. Controlled terminology.

Table 326 Unit definition for Missing value imputation method types.

Name	Short name	Aliases	Description
By zero	Set zero		Set missing values to zero.
Impute from data	Impute from data		Replace missing measurements by random other measurements of the same substance, biological matrix and sampling type.
No missing value imputation	No missing value imputation		No missing value imputation, all missing values remain in the data set and samples with missing values will be removed before analysis.

Modelled foods calculation source types

Accepted Modelled foods calculation source types. Controlled terminology.

Table 327 Unit definition for Modelled foods calculation source types.

Name	Short name	Aliases	Description
Derive modelled foods from concentrations	DeriveModelledFoodsFromSampleBasedConcentrations		Derive modelled foods from sample based concentration data.
Derive modelled foods from single value concentrations	DeriveModelledFoodsFromSingleValueConcentrations		Derive modelled foods from single value concentrations.
Derive modelled foods from concentration limits	UseWorstCaseValues		Derive modelled foods from concentration limits.

Month type

Accepted months types. Controlled terminology.

Table 328 Unit definition for Month type.

Name	Short name	Aliases
January	Jan	Jan, Januari, 1
February	Feb	Feb, Februari, 2
March	Mar	Mar, 3
April	Apr	Apr, 4
May	May	May, 5
June	Jun	Jun, June, 6
July	Jul	Jul, July, 7
August	Aug	Aug, 8
September	Sep	Sep, Sept, 9
October	Oct	Oct, 10
November	Nov	Nov, 11
December	Dec	Dec, 12

Multiple substance handling method types

Accepted Multiple substance handling method types. Controlled terminology.

Table 329 Unit definition for Multiple substance handling method types.

Name	Short name	Aliases	Description
Combined assessment of selected substances	Combined		Combined assessment of selected substances.
Loop over selected substances	Loop		Loop over selected substances.

Network analysis type

Accepted Network analysis types. Controlled terminology.

Table 330 Unit definition for Network analysis type.

Name	Short name	Aliases	Description
No network analysis	No network analysis		No network analysis is applied.
Apply network analysis	Apply network analysis		Network analysis is applied on the substance x component (U) matrix.

Non-quantifications handling method types

Accepted Non-quantifications handling method types. Controlled terminology.

Table 331 Unit definition for Non-quantifications handling method types.

Name	Short name	Aliases	Description
By zero	By zero		Non-quantifications are assumed to be zero’s (set to 0).
By f * LOR	By f * LOR		Non-quantifications are replaced by f * LOR where f is a constant.
By f * LOD or by LOD + f * (LOQ - LOD)	By f * LOD or by LOD + f * (LOQ - LOD)		Left censored are replaced by f * LOD; Non-quantifications are replaced by LOD + f * (LOQ - LOD), where f is a constant.

Nondetect imputation method types

Accepted nondetect imputation method types. Controlled terminology.

Table 332 Unit definition for Nondetect imputation method types.

Name	Short name	Aliases	Description
Replace by LOR/LOQ/LOD	ReplaceLimit		Non-quantifications are replaced by f * LOR or f * LOD or by LOD + f * (LOQ - LOD) where f is a constant.
Impute from censored lognormal distribution	Impute from censoredln		Replace nondetect measurements by a random draw from the lower (left) tail of the censored lognormal distribution.

Point of departure type

Accepted point of departure types. Controlled terminology.

Table 333 Unit definition for Point of departure type.

Name	Short name	Aliases
Benchmark dose	BMD	BMD
No observed adverse effect level	NOAEL	NOAEL
Lowest observed adverse effect level	LOAEL	LOAEL
No observed effect level	NOEL	NOEL
Median lethal dose	LD50	LD50
Benchmark dose lower confidence limit of 1%	BMDL01	BMDL01
Benchmark dose lower confidence limit of 10%	BMDL10	BMDL10

Point of departure types

Accepted Point of departure types. Controlled terminology.

Table 334 Unit definition for Point of departure types.

Name	Short name	Aliases	Description
Unspecified (no conversion to common expression type)	FromReference		Do not convert non-standard point of departures.
BMD (convert all hazard characterisations as BMDs)	BMD		Convert all point of departures to bench mark doses.
NOAEL (convert all hazard characterisations as NOAELs)	NOAEL		Convert all point of departures to NOAELs.

Probability distribution type

Probability distribution types.

Table 335 Unit definition for Probability distribution type.

Name	Short name	Aliases	Description
LogNormal	LogNormal	LogNormal	Lognormal distribution.
Normal	Normal	Normal	Normal distribution.
LogisticNormal	LogisticNormal	LogisticNormal	Logisticnormal distribution.
Deterministic	Deterministic	Deterministic	Deterministic distribution.

Processing distribution type

Accepted processing distribution types. Controlled terminology.

Table 336 Unit definition for Processing distribution type.

Name	Short name	Aliases	Description
Logistic Normal distribution	LogisticNormal	LogisticNormal, 1	Logisticnormal distribution.
Log Normal distribution	LogNormal	LogNormal, 2	Lognormal distribution.

Property level type

Accepted property level types. Controlled terminology.

Table 337 Unit definition for Property level type.

Name	Short name	Aliases	Description
Individual	Individual	Individual	Individual level.
IndividualDay	IndividualDay	IndividualDay	IndividualDay.

Response type

Accepted response types. Controlled terminology.

Table 338 Unit definition for Response type.

Name	Short name	Aliases	Description
Continuous multiplicative	CM	ContinuousMultiplicative	Response values are positive real numbers, e.g., weight, size.
Continuous additive	CA	ContinuousAdditive	Response values are real numbers, e.g., weight change, temperature.
Binary	B	Binary	Response values have binary outcomes (yes/no, true/false, success/failure, 0/1, etc.).
Quantal	Q	Quantal, Binomial	Response is measured in terms of number of successes out of N possible.
Quantal group	QG	QuantalGroup	Individual responses are measured as binary values, which may be grouped to form a quantal response.
Count	C	Count	Number of items (cells, molecules, deaths, etc.) in given interval/area/volume.
Ordinal	O	Ordinal	Relative scores (or graded scores) useable only for ranking.

Risk characterization ratio

The form of the ratio for expressing risk based on an exposure estimate and a hazard threshold value. This can be either exposure/hazard or hazard/exposure.

Table 339 Unit definition for Risk characterization ratio.

Name	Short name	Aliases	Description
hazard/exposure	H/E		Express risk as the ratio hazard/exposure (e.g., MOE(T)).
exposure/hazard	E/H		Express risk as the ratio exposure/hazard (e.g., HI,HQ, RPI).

Riskmetric calculation types

Accepted Riskmetric calculation types. Controlled terminology.

Table 340 Unit definition for Riskmetric calculation types.

Name	Short name	Aliases	Description
RPF weighted	RPF Weighted		Calculates risk as a single ratio involving cumulative RPF-weighted exposures.
Sum of risk characterisation ratios	Sum of ratios		Calculate risk as sum of ratios of exposure and hazard.

Single value dietary exposures calculation method types

Accepted Single value dietary exposures calculation method types. Controlled terminology.

Table 341 Unit definition for Single value dietary exposures calculation method types.

Name	Short name	Aliases	Description
IESTI	IESTI		IESTI.
IESTI new	IESTI new		IESTI new.
TMDI	TMDI		Theoretical Maximum Daily Intake.
IEDI	IEDI		International Estimated Daily Intake.
Rees–Day model (I)	Rees–Day(I)		Rees–Day model (I).
Rees–Day model (II)	Rees–Day (II)		Rees–Day model (II).

Single value risk calculation method types

Accepted Single value risk calculation method types. Controlled terminology.

Table 342 Unit definition for Single value risk calculation method types.

Name	Short name	Aliases	Description
From single value dietary exposures	From single value dietary exposures		From single value dietary exposures and hazard characterisations.
As percentile from risks distribution	As percentile		As percentile from risks distribution.

Standardise blood methods

Accepted Standardise blood methods. Controlled terminology.

Table 343 Unit definition for Standardise blood methods.

Name	Short name	Aliases	Description
Standardise by total lipid measured via gravimetric analysis	Gravimetric		Standardise by total lipid measured via gravimetric analysis.
Standardise by total lipid measured via enzymatic summation	Enzymatic		Standardise by total lipid measured via enzymatic summation.
Standardise by derived total lipid content of Triglycerides/Cholesterol (Bernert et al. 2007)	Bernert		Standardise by derived total lipid content (Bernert et al. 2007).

Standardise/normalise urine concentration method

Accepted Standardise urine concentration methods based on creatinine. Controlled terminology.

Table 344 Unit definition for Standardise/normalise urine concentration method.

Name	Short name	Aliases	Description
Normalise by specific gravity	SGNorm		Normalise by specific gravity.
Standardise by creatinine concentration	CreatStand		Standardise by creatinine concentration.

Substance group selection method types

Accepted Substance group selection method types. Controlled terminology.

Table 345 Unit definition for Substance group selection method types.

Name	Short name	Aliases	Description
All substances	IncludeAll		Include all substances of the substances table and use hazard characterisation imputation for missing hazard data.
Restrict to available hazard data	RestrictHazardDoseRpf		Restrict to the substances with available hazard data (either in the form of dose response models or RPFs).
Restrict to available hazard data and possible membership	RestrictHazardDoseRpfAndProbableMembership		Consider only the substances with available hazard data and non-zero membership (i.e., P(AG) > 0).
Restrict to available hazard data and certain membership	RestrictHazardDoseRpfAndCertainMembership		Consider only substances with certain assessment group membership (i.e., P(AG) = 1) and for which a hazard characterisation is available.
Restrict to non-zero membership	RestrictProbableMembership		Consider all substances, use TTC based on the Cramer class for the substances for which no limit dose or RPF is defined.
Restrict to certain membership	RestrictCertainMembership		Consider only the substances with certain assessment group membership (i.e., P(AG) = 1).

Substance translation allocation method types

Accepted Substance translation allocation method types. Controlled terminology.

Table 346 Unit definition for Substance translation allocation method types.

Name	Short name	Aliases	Description
Random allocation	Random allocation		Random allocation.
Allocate most potent	Allocate most potent		Allocate most potent active substance.
Nominal estimate	Nominal estimate		Allocate nominal estimate (weighted average allocation).
Allocate to all	Allocate to all		Allocate for each active substance independently as if all concentrations were allocated to this active substance.

Target dose selection method types

Accepted Target dose selection method types. Controlled terminology.

Table 347 Unit definition for Target dose selection method types.

Name	Short name	Aliases	Description
Select most toxic	MostToxic		Choose the most toxic (default).
Take aggregate	Aggregate		Choose an aggregated hazard characterisation when there there are multiple available candidates in nominal runs.
Random draw	Draw		Draw a random hazard characterisation.

Target doses calculation method types

Accepted Target doses calculation method types. Controlled terminology.

Table 348 Unit definition for Target doses calculation method types.

Name	Short name	Aliases	Description
In-vivo PoDs (BMDs, NOAELs, etc.)	InVivoPods		In-vivo Points of Departures (BMDs, NOAELs, etc.).
In-vitro BMDs	InVitroBmds		In-vitro Bench Mark Doses
In-vivo PoDs for index substance, others using RPFs from in-vitro dose response models	CombineInVivoPodInVitroDrms		In-vivo Points of Departures for index substance, others using RPFs from in-vitro dose response models

Target level type

Accepted units whether a dose is assumed to be an internal or external dose. Controlled terminology.

Table 349 Unit definition for Target level type.

Name	Short name	Aliases	Description
External	Ext	Ext	External exposure.
Internal	Int	Int	Internal exposure.

Test system type

Accepted test system types. Controlled terminology.

Table 350 Unit definition for Test system type.

Name	Short name	Aliases	Description
In vivo	In vivo	InVivo	In vivo
Cell line	Cell line	CellLine	CellLine
Primary cells	Primary cells	PrimaryCells	PrimaryCells
Tissue	Tissue	Tissue	Tissue
Organ	Organ	Organ	Organ

Testing method types

Accepted xxx types. Controlled terminology.

Table 351 Unit definition for Testing method types.

Name	Short name	Aliases	Description
Backward	Backward		Backward selection starts with selecting a model with a function of the highest degree. Then, the degree of the function is decreased by one and the model is tested again. This process is repeated until decreasing the degree does not improve the model fit anymore.
Forward	Forward		Forward selections starts with selecting a model with a function of the lowest degree. Then, the degree of the function is increased by one and the model is tested again. This process is repeated until increasing the degree does not improve the model fit anymore.

Time unit

Accepted time units. Controlled terminology.

Table 352 Unit definition for Time unit.

Name	Short name	Aliases	Description
hours	h	Hours, h	In hours
minutes	min	Minutes, min	In minutes

Transform types

Accepted Transform types. Controlled terminology.

Table 353 Unit definition for Transform types.

Name	Short name	Aliases	Description
Logarithmic	Logarithmic		Exposure amounts are transformed to normality using a logarithmic transformation.
No transformation	No transformation		Exposure amounts are not transformed.
Power	Power		Exposure amounts are transformed to normality using a Box-Cox power transformation.

Uncertainty types

Accepted Uncertainty types. Controlled terminology.

Table 354 Unit definition for Uncertainty types.

Name	Short name	Aliases	Description
Empirical	Empirical		Data are taken as such.
Parametric	Parametric		A parametric model is fitted to the data.

Unit variability correlation types

Accepted Unit variability correlation types. Controlled terminology.

Table 355 Unit definition for Unit variability correlation types.

Name	Short name	Aliases	Description
No correlation	NoCorrelation		The unit residue values for unit portions (consumption amount/unitweight) are randomly drawn, explicitly ignoring any correlation between unit residues.
Full correlation	FullCorrelation		The unit residue values for unit portions (consumption amount/unitweight) are randomly drawn, explicitly introducing correlation between unit residues, e.g. high (small) values occur more frequently together.

Unit variability model types

Accepted Unit variability model types. Controlled terminology.

Table 356 Unit definition for Unit variability model types.

Name	Short name	Aliases	Description
Beta distribution	Beta distribution		Requires knowledge of the number of units in a composite sample, and of the variability between units (realistic or conservative estimates). Under the beta model, the simulated unit values are drawn from a bounded distribution on the interval.
Lognormal distribution	Lognormal distribution		Requires only knowledge of the variability between units (realistic or conservative estimates). The lognormal distribution is considered as an appropriate model for many empirical positive concentration distributions (unbounded distribution).
Bernoulli distribution	Bernoulli distribution		Requires only knowledge of the number of units in a composite sample (results are always conservative). The bernoulli model is a limiting case of the beta model, which can be used if no information on unit variability is available, but only the number of units in a composite sample is known.

Unit variability types

Accepted Unit variability types. Controlled terminology.

Table 357 Unit definition for Unit variability types.

Name	Short name	Aliases	Description
Variation coefficient	Variation coefficient		Standard deviation divided by the mean.
Variability factor	Variability factor		Defined as 97.5th percentile divided by the mean.

Unit weight value type

Accepted unit weight types.

Table 358 Unit definition for Unit weight value type.

Name	Short name	Aliases	Description
Unit weight RAC	RAC	RAC, UnitWeightRAC, UnitWeightRawAgriculturalCommodity	Unit weight raw agricultural commodity (RAC).
Unit Weight EP	EP	EP, UnitWeightEP, UnitWeightEdiblePortion	Unit weight edible portion (EP).

Value qualifier

Supported value qualifiers.

Table 359 Unit definition for Value qualifier.

Name	Short name	Aliases
=	=	=, Equals
<	<	lt, LessThan, <