diff --git a/Makefile b/Makefile
index 6765eddbf9..73f22d89a5 100644
--- a/Makefile
+++ b/Makefile
@@ -150,7 +150,7 @@ test-schema:
 		-d tmp $(SOURCE_SCHEMA_PATH)
 
 test-python:
-	$(RUN) python -m unittest discover
+	$(RUN) pytest
 	$(RUN) python -m doctest nmdc_schema/nmdc_data.py
 	$(RUN) python -m doctest nmdc_schema/id_helpers.py
 	$(RUN) python -m doctest src/scripts/make_typecode_to_class_map.py
diff --git a/assets/yq-for-mixs_subset_modified.txt b/assets/yq-for-mixs_subset_modified.txt
index 6e812a923d..b71ec4296d 100644
--- a/assets/yq-for-mixs_subset_modified.txt
+++ b/assets/yq-for-mixs_subset_modified.txt
@@ -551,6 +551,8 @@ make: *** [Makefile:102: gen-project] Error 1
 '.slots.occup_samp.annotations.storage_units = {"tag": "storage_units", "value": "1"}'
 '.slots.freq_clean.annotations.storage_units = {"tag": "storage_units", "value": "1/d"}'
 '.slots.freq_cook.annotations.storage_units = {"tag": "storage_units", "value": "1/d"}'
+'.slots.exp_pipe.annotations.storage_units = {"tag": "storage_units", "value": "1"}'
+'.slots.occup_density_samp.annotations.storage_units = {"tag": "storage_units", "value": "1/[sft_i]"}'
 
 # Units alignment excuses for problematic MIxS specifications
 '.slots.efficiency_percent.annotations.units_alignment_excuse = {"tag": "units_alignment_excuse", "value": "mixs_inconsistent"}'
@@ -560,8 +562,6 @@ make: *** [Makefile:102: gen-project] Error 1
 '.slots.api.annotations.units_alignment_excuse = {"tag": "units_alignment_excuse", "value": "non_ucum_unit"}'
 
 # Units alignment excuses for MIxS slots with zero occurrences in production data
-'.slots.exp_pipe.annotations.units_alignment_excuse = {"tag": "units_alignment_excuse", "value": "pending_analysis"}'
-'.slots.occup_density_samp.annotations.units_alignment_excuse = {"tag": "units_alignment_excuse", "value": "pending_analysis"}'
 '.slots.soil_text_measure.annotations.units_alignment_excuse = {"tag": "units_alignment_excuse", "value": "pending_analysis"}'
 
 # Complex measurement slots that combine numeric and text data
diff --git a/pyproject.toml b/pyproject.toml
index 1837828e57..a15d0a3de6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -148,15 +148,13 @@ schema-pattern-linting = "src.scripts.schema_pattern_linting:main"
 schema-view-relation-graph = "src.scripts.schema_view_relation_graph:cli"
 scrutinize-elements = "src.scripts.scrutinize_elements:process_schema_elements"
 slot-range-type-reporter = "src.scripts.slot_range_type_reporter:cli"
-# Units analysis CLI tools (consolidated in units/ directory)
-units-schema-extract = "units.scripts.schema_extract_preferred_units:main"
-units-schema-convert = "units.scripts.schema_convert_to_ucum:main"
-units-schema-generate = "units.scripts.schema_generate_yq_commands:main"
-units-testdata-extract = "units.scripts.testdata_extract_quantity_values:main"
-units-testdata-check = "units.scripts.testdata_check_has_unit:main"
-units-ucum-validate = "units.scripts.ucum_validate_units:main"
-units-mongodb-analyze = "units.scripts.mongodb_analyze_units:main"
-units-schema-extract-slot-unit-pairs = "units.scripts.schema_expand_storage_units:main"
+# Units analysis uses yq queries in units/Makefile (Python scripts removed)
+
+[tool.pytest.ini_options]
+# Only run tests in tests/ directory to match original unittest discover behavior
+# (excludes MongoDB integration tests and other tests outside tests/)
+# Module independence is checked by check_schema_self_containment.py instead
+testpaths = ["tests"]
 
 [tool.deptry]
 extend_exclude = [
diff --git a/src/data/valid/Biosample-possibly-exhaustive.yaml b/src/data/valid/Biosample-possibly-exhaustive.yaml
index 2a4dbeb6fd..dbff0e7a31 100644
--- a/src/data/valid/Biosample-possibly-exhaustive.yaml
+++ b/src/data/valid/Biosample-possibly-exhaustive.yaml
@@ -476,7 +476,7 @@ exp_duct:
 exp_pipe:
   type: nmdc:QuantityValue
   has_raw_value: xxx
-  has_unit: m2
+  has_unit: '1'
 experimental_factor:
   type: nmdc:ControlledTermValue
   has_raw_value: unconstrained text, unlike the MIxS environmental triad
@@ -864,7 +864,7 @@ number_resident:
 occup_density_samp:  # Float
   type: nmdc:QuantityValue
   has_raw_value: xxx
-  has_unit: '1'
+  has_unit: '1/[sft_i]'
 occup_document: estimate
 occup_samp:
   type: nmdc:QuantityValue
diff --git a/src/data/valid/Database-interleaved.yaml b/src/data/valid/Database-interleaved.yaml
index e983027153..ef85c8c978 100644
--- a/src/data/valid/Database-interleaved.yaml
+++ b/src/data/valid/Database-interleaved.yaml
@@ -1904,7 +1904,7 @@ biosample_set:
     exp_pipe:
       type: nmdc:QuantityValue
       has_raw_value: xxx
-      has_unit: m2
+      has_unit: '1'
     experimental_factor:
       type: nmdc:ControlledTermValue
       has_raw_value: unconstrained text, unlike the MIxS environmental triad
@@ -2292,7 +2292,7 @@ biosample_set:
     occup_density_samp:  # Float
       type: nmdc:QuantityValue
       has_raw_value: xxx
-      has_unit: '1'
+      has_unit: '1/[sft_i]'
     occup_document: estimate
     occup_samp:
       type: nmdc:QuantityValue
diff --git a/src/schema/attribute_values.yaml b/src/schema/attribute_values.yaml
index 54b2a96a9f..667f2e9a11 100644
--- a/src/schema/attribute_values.yaml
+++ b/src/schema/attribute_values.yaml
@@ -770,6 +770,12 @@ enums:
           - per day
           - daily frequency
         description: The Unified Code for Units of Measure (UCUM) representation of per day (frequency).
+      "1/[sft_i]":
+        title: per square foot
+        aliases:
+          - per square foot
+          - occupants per square foot
+        description: The Unified Code for Units of Measure (UCUM) representation of per square foot.
       "kHz":
         aliases:
           - kHz
diff --git a/src/schema/core.yaml b/src/schema/core.yaml
index bb7f4d6d3e..d1e2d0a457 100644
--- a/src/schema/core.yaml
+++ b/src/schema/core.yaml
@@ -1524,10 +1524,11 @@ slots:
     range: SubstanceRoleEnum
     description: The role of a substance in a process
   concentration:
+    abstract: true
     range: QuantityValue
     description: The concentration of a substance used in a process
-    annotations:
-      units_alignment_excuse: pending_analysis
+    comments:
+      - Union of child units from source_concentration and final_concentration is %|mmol/L|umol/L|mg/L|g/L
   source_concentration:
     is_a: concentration
     description: When solutions A (containing substance X) and B are combined together, this slot captures the concentration of X in solution A
diff --git a/src/schema/mixs.yaml b/src/schema/mixs.yaml
index a3172384b7..f5e9a115e6 100644
--- a/src/schema/mixs.yaml
+++ b/src/schema/mixs.yaml
@@ -3955,9 +3955,9 @@ slots:
       occurrence:
         tag: occurrence
         value: '1'
-      units_alignment_excuse:
-        tag: units_alignment_excuse
-        value: pending_analysis
+      storage_units:
+        tag: storage_units
+        value: "1"
     description: The number of exposed pipes in the room
     title: exposed pipes
     examples:
@@ -6334,7 +6334,7 @@ slots:
       occurrence:
         tag: occurrence
         value: m
-    description: Structured miscellaneous property assertions for this Biosample. Use when a value cannot cleanly fit an existing, policy-governed slot.
+    description: Structured miscellaneous property assertions. Use when a value cannot cleanly fit an existing, policy-governed slot.
     title: miscellaneous parameter
     examples:
       - value: Bicarbonate ion concentration;2075 micromole per kilogram
@@ -6579,9 +6579,9 @@ slots:
       occurrence:
         tag: occurrence
         value: '1'
-      units_alignment_excuse:
-        tag: units_alignment_excuse
-        value: pending_analysis
+      storage_units:
+        tag: storage_units
+        value: 1/[sft_i]
     description: Average number of occupants at time of sampling per square footage
     title: occupant density at sampling
     examples:
diff --git a/src/schema/nmdc.yaml b/src/schema/nmdc.yaml
index 31d3d9481f..413610db8e 100644
--- a/src/schema/nmdc.yaml
+++ b/src/schema/nmdc.yaml
@@ -1037,9 +1037,9 @@ enums:
 
 slots:
   biomaterial_purity:
+    abstract: true
     range: QuantityValue
-    annotations:
-      units_alignment_excuse: pending_analysis
+    description: A measure of the purity of a biomaterial sample
 
   generates_calibration:
     range: CalibrationInformation
diff --git a/tests/test_units_alignment.py b/tests/test_units_alignment.py
index 80bcf0a563..ad0f6183c9 100644
--- a/tests/test_units_alignment.py
+++ b/tests/test_units_alignment.py
@@ -18,37 +18,52 @@ class TestUnitsAlignment(unittest.TestCase):
 
     def test_quantityvalue_slots_have_storage_units_or_excuse(self):
         """Test that ALL QuantityValue slots have either storage_units or units_alignment_excuse.
-        
-        Expanded constraint: All QuantityValue slots must have storage_units OR units_alignment_excuse.
+
+        Expanded constraint: All concrete QuantityValue slots must have storage_units OR units_alignment_excuse.
         This ensures complete coverage of unit constraints for data validation.
-        
+
+        Abstract slots MUST NOT have storage_units or units_alignment_excuse since they are not
+        directly instantiated - only their concrete children are used in actual data.
+
         Consumer behavior: units_alignment_excuse means "skip storage_units validation for documented reason".
         """
         schema_view = SchemaView(SCHEMA_FILE)
         problematic_slots = []
-        
+        abstract_slots_with_annotations = []
+
         for slot_name in schema_view.all_slots():
             slot = schema_view.get_slot(slot_name)
             if not slot:
                 continue
-                
+
             # Check if slot has QuantityValue range
             if slot.range != 'QuantityValue':
                 continue
-                
+
             annotations = slot.annotations or {}
             has_storage_units = 'storage_units' in annotations
             has_units_excuse = 'units_alignment_excuse' in annotations
-            
-            # All QuantityValue slots must have either storage_units or excuse
+
+            # Abstract slots MUST NOT have storage_units or units_alignment_excuse
+            if slot.abstract:
+                if has_storage_units or has_units_excuse:
+                    abstract_slots_with_annotations.append(slot_name)
+                continue
+
+            # All concrete QuantityValue slots must have either storage_units or excuse
             if not has_storage_units and not has_units_excuse:
                 problematic_slots.append(slot_name)
-        
+
         # Sort for consistent output
         problematic_slots.sort()
-        
+        abstract_slots_with_annotations.sort()
+
+        self.assertEqual([], abstract_slots_with_annotations,
+                        msg=f"Found {len(abstract_slots_with_annotations)} abstract QuantityValue slots with storage_units or units_alignment_excuse annotations. "
+                            f"Abstract slots should not have these annotations.")
+
         self.assertEqual([], problematic_slots,
-                        msg=f"Found {len(problematic_slots)} QuantityValue slots missing both storage_units and units_alignment_excuse annotations")
+                        msg=f"Found {len(problematic_slots)} concrete QuantityValue slots missing both storage_units and units_alignment_excuse annotations")
     
     def test_units_alignment_excuse_values_are_valid(self):
         """Test that units_alignment_excuse annotations use approved excuse values."""
diff --git a/units/Makefile b/units/Makefile
index 456d0ff333..ae7cd5798e 100644
--- a/units/Makefile
+++ b/units/Makefile
@@ -15,32 +15,27 @@ clean:
 # Clean and rebuild everything
 rebuild: clean all
 
-# Extract preferred_unit annotations from schema (fast: ~1-2 seconds)
-output/schema_preferred_units.tsv: ../nmdc_schema/nmdc_materialized_patterns.yaml
-	@mkdir -p output
-	poetry run units-schema-extract --schema-file $< --output $@
-
-# Convert preferred units to UCUM notation (fast: ~1-2 seconds)
-output/schema_ucum_input.tsv output/schema_ucum_detailed.tsv: output/schema_preferred_units.tsv
-	poetry run units-schema-convert --input $< --output output/schema_ucum_input.tsv --detailed output/schema_ucum_detailed.tsv
-
-# Generate yq commands for storage_units annotations (fast: ~1-2 seconds)
-output/yq_commands_single_unit.txt output/yq_commands_multi_unit.txt: output/schema_ucum_input.tsv
-	poetry run units-schema-generate --input $< --output-dir output
+# Removed misleading preferred_unit analysis targets (schema_extract, schema_convert, schema_generate)
+# These reported "problem units" that were already addressed by storage_units annotations
+# See: https://github.com/microbiomedata/nmdc-schema/issues/2687
 
 
 # Production data validation (uses MongoDB YAML dump)
-# ⚠️  SLOWEST TARGET: Processes 32,000+ QuantityValue instances from GB-sized MongoDB dump
+# ⚠️ UNIMPLEMENTED: Script units-production-validate does not exist
+# TODO: Create units/scripts/production_validate.py and add entry point to pyproject.toml
+# Expected implementation: Processes 32,000+ QuantityValue instances from GB-sized MongoDB dump
 # Expected time: Minutes to hours depending on dump size
+#
 # Set SCHEMA_FILE to control which schema version to validate against:
 # ENV=dev (default): ../nmdc_schema/nmdc_materialized_patterns.yaml (current development schema)
 # ENV=prod: ../local/nmdc_schema_last_release.yaml (latest release schema)
 SCHEMA_FILE ?= $(if $(filter prod,$(ENV)),../local/nmdc_schema_last_release.yaml,../nmdc_schema/nmdc_materialized_patterns.yaml)
 
-slow-outputs/production_validation_results.tsv: ../local/mongo_via_api_as_unvalidated_nmdc_database.yaml
-	@mkdir -p slow-outputs
-	poetry run units-production-validate --input $< --output $@ --schema-file $(SCHEMA_FILE)
-	@echo "Note: Requires MongoDB dump from: make local/mongo_via_api_as_unvalidated_nmdc_database.yaml"
+# DISABLED - missing script units-production-validate
+# slow-outputs/production_validation_results.tsv: ../local/mongo_via_api_as_unvalidated_nmdc_database.yaml
+# 	@mkdir -p slow-outputs
+# 	poetry run units-production-validate --input $< --output $@ --schema-file $(SCHEMA_FILE)
+# 	@echo "Note: Requires MongoDB dump from: make local/mongo_via_api_as_unvalidated_nmdc_database.yaml"
 
 
 # Report slots with units excuses (very fast: <1 second)
@@ -53,32 +48,14 @@ output/user_friendly_units.tsv: $(SCHEMA_FILE)
 	@mkdir -p output
 	yq eval '.enums.UnitEnum.permissible_values | to_entries | map(select(.value | has("title"))) | .[] | .key + "	" + .value.title' $< > $@
 
-# Extract slot-to-storage-unit pairs (expands pipe-separated values)
-output/schema_storage_units_expanded.tsv: $(SCHEMA_FILE)
-	poetry run units-schema-extract-slot-unit-pairs --schema-file $< --output $@
-
-# Legacy MongoDB workflow (requires external production data) (moderate: ~30 seconds)
-output/mongodb_analysis_results.csv: semi-static-inputs/mongodb-slots-to-units.csv
-	@mkdir -p output
-	poetry run units-mongodb-analyze --input $< --output $@
-
-# Legacy MongoDB unit validation analysis (uses production SPARQL query results)
-# Note: Analyzes semi-static-inputs/mongodb-slots-to-units.csv from production RDF/SPARQL queries
-
-
-# Python script targets - newly consolidated units analysis tools
-# Validate UCUM compliance of units from test data (moderate: ~10-30 seconds)
-output/ucum_validation_results.csv: output/testdata_quantity_values.tsv
-	poetry run units-ucum-validate --input $< --output $@
-
-# Check QuantityValue has_unit completeness (very fast: ~1-2 seconds)
-output/testdata_has_unit_check.tsv: ../src/data/valid/Biosample-possibly-exhaustive.yaml
-	poetry run units-testdata-check --file-path $< --output $@
-
-# Extract QuantityValue structures from test data (very fast: ~1-2 seconds)
-output/testdata_quantity_values.tsv: ../src/data/valid/Biosample-possibly-exhaustive.yaml
-	@mkdir -p output
-	poetry run units-testdata-extract --input $< --output $@
+# All Python script targets removed - they produced outputs with no consumers
+# Deleted scripts:
+#   - testdata_extract_quantity_values.py (orphaned after UCUM validator removal)
+#   - testdata_check_has_unit.py (better tested with pytest)
+#   - mongodb_analyze_units.py (stale data, no consumers)
+#   - schema_expand_storage_units.py (no consumers)
+#
+# For UCUM validation, use: pytest tests/test_has_unit_enum.py (uses ucumvert)
 
 # yq query targets from STORAGE_UNITS_STATUS.md analysis (all fast: 1-3 seconds each)
 
@@ -105,8 +82,8 @@ output/schema_qv_storage_counts.tsv: $(SCHEMA_FILE)
 	@echo "qv_slots_without_storage_units	$$(yq '.slots | to_entries | map(select(.value.range == "QuantityValue")) | .[] | .key + " | " + (.value.annotations.storage_units.value // "MISSING")' $< | grep -c "MISSING")" >> $@
 	@echo "qv_slots_total	$$(yq '.slots | to_entries | map(select(.value.range == "QuantityValue")) | length' $<)" >> $@
 
-# Fast target - comprehensive analysis pipeline
-fast: output/schema_preferred_units.tsv output/schema_ucum_input.tsv output/schema_ucum_detailed.tsv output/yq_commands_single_unit.txt output/yq_commands_multi_unit.txt output/testdata_quantity_values.tsv output/ucum_validation_results.csv output/schema_qv_with_storage.txt output/schema_qv_without_storage.txt output/schema_qv_complete_table.txt output/schema_qv_storage_counts.tsv output/testdata_has_unit_check.tsv output/schema_units_excuses.tsv output/user_friendly_units.tsv output/schema_storage_units_expanded.tsv
+# Fast target - comprehensive analysis pipeline (yq queries only)
+fast: output/schema_qv_with_storage.txt output/schema_qv_without_storage.txt output/schema_qv_complete_table.txt output/schema_qv_storage_counts.tsv output/schema_units_excuses.tsv output/user_friendly_units.tsv
 
 # Clean all output files (preserves slow-outputs/ directory)
 clean-fast:
@@ -120,11 +97,8 @@ help:
 	@echo ""
 	@echo "Key Targets:"
 	@echo "  all      - Alias for fast (comprehensive analysis)"
-	@echo "  fast     - Comprehensive analysis except slow production validation"  
+	@echo "  fast     - All fast targets (schema + testdata analysis)"
 	@echo "  clean    - Remove all generated files"
 	@echo "  clean-fast - Clean output/ (preserves slow-outputs/)"
 	@echo ""
-	@echo "Slow Targets:"
-	@echo "  slow-outputs/production_validation_results.tsv - Production data validation"
-	@echo ""
-	@echo "Environment: ENV=dev|prod (controls schema version for production validation)"
\ No newline at end of file
+	@echo "Note: MongoDB production validation target is currently disabled (missing script)"
\ No newline at end of file
diff --git a/units/output/schema_preferred_units.tsv b/units/output/schema_preferred_units.tsv
deleted file mode 100644
index 0ee63b7176..0000000000
--- a/units/output/schema_preferred_units.tsv
+++ /dev/null
@@ -1,226 +0,0 @@
-slot_name	context	class_name	preferred_unit	description	range	examples
-abs_air_humidity	global		gram per gram, kilogram per kilogram, kilogram, pound	Actual mass of water vapor - mh20 - present in the air water vapor mixture	QuantityValue	9 gram per gram
-agrochem_addition	global		gram, mole per liter, milligram per liter	Addition of fertilizers, pesticides, etc. - amount and time of applications	TextValue	roundup;5 milligram per liter;2018-06-21
-air_PM_concen	global		micrograms per cubic meter	Concentration of substances that remain suspended in the air, and comprise mixtures of organic and inorganic substances (PM10 and PM2.5); can report multiple PM's by entering numeric values preceded by name of PM	TextValue	PM2.5;10 microgram per cubic meter
-air_temp	global		degree Celsius	Temperature of the air at the time of sampling	QuantityValue	20 degree Celsius
-air_temp_regm	global		meter	Information about treatment involving an exposure to varying temperatures; should include the temperature, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include different temperature regimens	TextValue	25 degree Celsius;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-al_sat	global		percentage	Aluminum saturation (esp. For tropical soils)	QuantityValue	
-alkalinity	global		milliequivalent per liter, milligram per liter	Alkalinity, the ability of a solution to neutralize acids to the equivalence point of carbonate or bicarbonate	QuantityValue	50 milligram per liter
-alkyl_diethers	global		mole per liter	Concentration of alkyl diethers	QuantityValue	0.005 mole per liter
-aminopept_act	global		mole per liter per hour	Measurement of aminopeptidase activity	QuantityValue	0.269 mole per liter per hour
-ammonium	global		micromole per liter, milligram per liter, parts per million	Concentration of ammonium in the sample	QuantityValue	1.5 milligram per liter
-ammonium_nitrogen	global		mg/kg	Concentration of ammonium nitrogen in the sample	QuantityValue	2.3 mg/kg
-amount_light	global		lux, lumens per square meter	The unit of illuminance and luminous emittance, measuring luminous flux per unit area	QuantityValue	
-annual_precpt	global		millimeter	The average of all annual precipitation values known, or an estimated equivalent value derived by such methods as regional indexes or Isohyetal maps.	QuantityValue	
-annual_temp	global		degree Celsius	Mean annual temperature	QuantityValue	12.5 degree Celsius
-antibiotic_regm	global		milligram	Information about treatment involving antibiotic administration; should include the name of antibiotic, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple antibiotic regimens	TextValue	penicillin;5 milligram;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-api	global		degrees API	API gravity is a measure of how heavy or light a petroleum liquid is compared to water (source: https://en.wikipedia.org/wiki/API_gravity) (e.g. 31.1° API)	QuantityValue	
-aromatics_pc	global		percent	Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)	TextValue	
-asphaltenes_pc	global		percent	Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)	TextValue	
-avg_dew_point	global		degree Celsius	The average of dew point measures taken at the beginning of every hour over a 24 hour period on the sampling day	QuantityValue	25.5 degree Celsius
-avg_temp	global		degree Celsius	The average of temperatures taken at the beginning of every hour over a 24 hour period on the sampling day	QuantityValue	12.5 degree Celsius
-bac_prod	global		milligram per cubic meter per day	Bacterial production in the water column measured by isotope uptake	QuantityValue	5 milligram per cubic meter per day
-bac_resp	global		milligram per cubic meter per day, micromole oxygen per liter per hour	Measurement of bacterial respiration in the water column	QuantityValue	300 micromole oxygen per liter per hour
-bacteria_carb_prod	global		nanogram per hour	Measurement of bacterial carbon production	QuantityValue	2.53 microgram per liter per hour
-barometric_press	global		millibar	Force per unit area exerted against a surface by the weight of air above that surface	QuantityValue	5 millibar
-benzene	global		milligram per liter, parts per million	Concentration of benzene in the sample	QuantityValue	
-biochem_oxygen_dem	global		milligram per liter	Amount of dissolved oxygen needed by aerobic biological organisms in a body of water to break down organic material present in a given water sample at certain temperature over a specific time period	QuantityValue	
-biocide_admin_method	global		milligram per liter	Method of biocide administration (dose, frequency, duration, time elapsed between last biociding and sampling) (e.g. 150 mg/l; weekly; 4 hr; 3 days)	TextValue	
-biomass	global		ton, kilogram, gram	Amount of biomass; should include the name for the part of biomass measured, e.g. Microbial, total. Can include multiple measurements	TextValue	total;20 gram
-bishomohopanol	global		microgram per liter, microgram per gram	Concentration of bishomohopanol	QuantityValue	14 microgram per liter
-blood_press_diast	global		millimeter mercury	Resting diastolic blood pressure, measured as mm mercury	QuantityValue	
-blood_press_syst	global		millimeter mercury	Resting systolic blood pressure, measured as mm mercury	QuantityValue	
-bromide	global		parts per million	Concentration of bromide	QuantityValue	0.05 parts per million
-built_struc_age	global		year	The age of the built structure since construction	QuantityValue	15
-calcium	global		milligram per liter, micromole per liter, parts per million	Concentration of calcium in the sample	QuantityValue	0.2 micromole per liter
-carb_dioxide	global		micromole per liter, parts per million	Carbon dioxide (gas) amount or concentration at the time of sampling	QuantityValue	410 parts per million
-carb_monoxide	global		micromole per liter, parts per million	Carbon monoxide (gas) amount or concentration at the time of sampling	QuantityValue	0.1 parts per million
-ceil_area	global		square meter	The area of the ceiling space within the room	QuantityValue	25 square meter
-ceil_thermal_mass	global		joule per degree Celsius	The ability of the ceiling to provide inertia against temperature fluctuations. Generally this means concrete that is exposed. A metal deck that supports a concrete slab will act thermally as long as it is exposed to room air flow	QuantityValue	
-chem_mutagen	global		milligram per liter	Treatment involving use of mutagens; should include the name of mutagen, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple mutagen regimens	TextValue	nitrous acid;0.5 milligram per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-chem_oxygen_dem	global		milligram per liter	A measure of the capacity of water to consume oxygen during the decomposition of organic matter and the oxidation of inorganic chemicals such as ammonia and nitrite	QuantityValue	
-chem_treat_method	global		milligram per liter	Method of chemical administration(dose, frequency, duration, time elapsed between administration and sampling) (e.g. 50 mg/l; twice a week; 1 hr; 0 days)	string	
-chloride	global		milligram per liter, parts per million	Concentration of chloride in the sample	QuantityValue	5000 milligram per liter
-chlorophyll	global		milligram per cubic meter, microgram per liter	Concentration of chlorophyll	QuantityValue	5 milligram per cubic meter
-conduc	global		milliSiemens per centimeter	Electrical conductivity of water	QuantityValue	10 milliSiemens per centimeter
-density	global		gram per cubic meter, gram per cubic centimeter	Density of the sample, which is its mass per unit volume (aka volumetric mass density)	QuantityValue	1000 kilogram per cubic meter
-dew_point	global		degree Celsius	The temperature to which a given parcel of humid air must be cooled, at constant barometric pressure, for water vapor to condense into water.	QuantityValue	22 degree Celsius
-diether_lipids	global		nanogram per liter	Concentration of diether lipids; can include multiple types of diether lipids	TextValue	0.2 nanogram per liter
-diss_carb_dioxide	global		micromole per liter, milligram per liter	Concentration of dissolved carbon dioxide in the sample or liquid portion of the sample	QuantityValue	5 milligram per liter
-diss_hydrogen	global		micromole per liter	Concentration of dissolved hydrogen	QuantityValue	0.3 micromole per liter
-diss_inorg_carb	global		microgram per liter, milligram per liter, parts per million	Dissolved inorganic carbon concentration in the sample, typically measured after filtering the sample using a 0.45 micrometer filter	QuantityValue	2059 micromole per kilogram
-diss_inorg_nitro	global		microgram per liter, micromole per liter	Concentration of dissolved inorganic nitrogen	QuantityValue	761 micromole per liter
-diss_inorg_phosp	global		microgram per liter, milligram per liter, parts per million	Concentration of dissolved inorganic phosphorus in the sample	QuantityValue	56.5 micromole per liter
-diss_iron	global		milligram per liter	Concentration of dissolved iron in the sample	QuantityValue	
-diss_org_carb	global		micromole per liter, milligram per liter	Concentration of dissolved organic carbon in the sample, liquid portion of the sample, or aqueous phase of the fluid	QuantityValue	197 micromole per liter
-diss_org_nitro	global		microgram per liter, milligram per liter	Dissolved organic nitrogen concentration measured as; total dissolved nitrogen - NH4 - NO3 - NO2	QuantityValue	0.05 micromole per liter
-diss_oxygen	global		micromole per kilogram, milligram per liter	Concentration of dissolved oxygen	QuantityValue	175 micromole per kilogram
-diss_oxygen_fluid	global		micromole per kilogram, milligram per liter	Concentration of dissolved oxygen in the oil field produced fluids as it contributes to oxgen-corrosion and microbial activity (e.g. Mic).	QuantityValue	
-door_size	global		square meter	The size of the door	QuantityValue	2.5 square meter
-down_par	global		microEinstein per square meter per second, microEinstein per square centimeter per second	Visible waveband radiance and irradiance measurements in the water column	QuantityValue	28.71 microEinstein per square meter per second
-efficiency_percent	global		micromole per liter	Percentage of volatile solids removed from the anaerobic digestor	QuantityValue	
-emulsions	global		gram per liter	Amount or concentration of substances such as paints, adhesives, mayonnaise, hair colorants, emulsified oils, etc.; can include multiple emulsion types	TextValue	
-ethylbenzene	global		milligram per liter, parts per million	Concentration of ethylbenzene in the sample	QuantityValue	
-exp_duct	global		square meter	The amount of exposed ductwork in the room	QuantityValue	
-fertilizer_regm	global		gram, mole per liter, milligram per liter	Information about treatment involving the use of fertilizers; should include the name of fertilizer, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fertilizer regimens	TextValue	urea;0.6 milligram per liter;R2/2018-05-11:T14:30/2018-05-11T19:30/P1H30M
-floor_age	global		years, weeks, days	The time period since installment of the carpet or flooring	QuantityValue	
-floor_area	global		square meter	The area of the floor space within the room	QuantityValue	
-floor_thermal_mass	global		joule per degree Celsius	The ability of the floor to provide inertia against temperature fluctuations	QuantityValue	
-fluor	global		milligram chlorophyll a per cubic meter, volts	Raw or converted fluorescence of water	QuantityValue	2.5 volts
-fungicide_regm	global		gram, mole per liter, milligram per liter	Information about treatment involving use of fungicides; should include the name of fungicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fungicide regimens	TextValue	bifonazole;1 mole per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-gaseous_environment	global		micromole per liter	Use of conditions with differing gaseous environments; should include the name of gaseous compound, amount administered, treatment duration, interval and total experimental duration; can include multiple gaseous environment regimens	TextValue	nitric oxide;0.5 micromole per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-gaseous_substances	global		micromole per liter	Amount or concentration of substances such as hydrogen sulfide, carbon dioxide, methane, etc.; can include multiple substances	TextValue	
-glucosidase_act	global		mol per liter per hour	Measurement of glucosidase activity	QuantityValue	5 mol per liter per hour
-gravity	global		meter per square second, g	Information about treatment involving use of gravity factor to study various types of responses in presence, absence or modified levels of gravity; treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple treatments	TextValue	12 g;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-growth_hormone_regm	global		gram, mole per liter, milligram per liter	Information about treatment involving use of growth hormones; should include the name of growth hormone, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple growth hormone regimens	TextValue	abscisic acid;0.5 milligram per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-hcr_fw_salinity	global		milligram per liter	Original formation water salinity (prior to secondary recovery e.g. Waterflooding) expressed as TDS	QuantityValue	
-hcr_pressure	global		atmosphere, kilopascal	Original pressure of the hydrocarbon resource	TextValue	
-hcr_temp	global		degree Celsius	Original temperature of the hydrocarbon resource	TextValue	150-295 degree Celsius
-heavy_metals	global		microgram per gram	Heavy metals present in the sequenced sample and their concentrations. For multiple heavy metals and concentrations, add multiple copies of this field.	TextValue	mercury;0.09 micrograms per gram
-height_carper_fiber	global		centimeter	The average carpet fiber height in the indoor environment	QuantityValue	
-herbicide_regm	global		gram, mole per liter, milligram per liter	Information about treatment involving use of herbicides; information about treatment involving use of growth hormones; should include the name of herbicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens	TextValue	atrazine;10 milligram per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-host_age	global		year, day, hour	Age of host at the time of sampling; relevant scale depends on species and study, e.g. Could be seconds for amoebae or centuries for trees	QuantityValue	10 days
-host_body_temp	global		degree Celsius	Core body temperature of the host when sample was collected	QuantityValue	15 degree Celsius
-host_dry_mass	global		kilogram, gram	Measurement of dry mass	QuantityValue	500 gram
-host_height	global		centimeter, millimeter, meter	The height of subject	QuantityValue	0.1 meter
-host_length	global		centimeter, millimeter, meter	The length of subject	QuantityValue	1 meter
-host_tot_mass	global		kilogram, gram	Total mass of the host at collection, the unit depends on host	QuantityValue	2500 gram
-host_wet_mass	global		kilogram, gram	Measurement of wet mass	QuantityValue	1500 gram
-humidity	global		gram per cubic meter	Amount of water vapour in the air, at the time of sampling	QuantityValue	25 gram per cubic meter
-humidity_regm	global		gram per cubic meter	Information about treatment involving an exposure to varying degree of humidity; information about treatment involving use of growth hormones; should include amount of humidity administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens	TextValue	25 gram per cubic meter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-indust_eff_percent	global		percentage	Percentage of industrial effluents received by wastewater treatment plant	QuantityValue	
-inorg_particles	global		mole per liter, milligram per liter	Concentration of particles such as sand, grit, metal particles, ceramics, etc.; can include multiple particles	TextValue	
-inside_lux	global		kilowatt per square metre	The recorded value at sampling time (power density)	QuantityValue	
-iwf	global		percent	Proportion of the produced fluids derived from injected water at the time of sampling. (e.g. 87%)	QuantityValue	
-lbc_thirty	global		ppm CaCO3/pH	lime buffer capacity, determined after 30 minute incubation	QuantityValue	543 mg/kg
-lbceq	global		ppm CaCO3/pH	lime buffer capacity, determined at equilibrium after 5 day incubation	QuantityValue	1575 mg/kg
-light_intensity	global		lux	Measurement of light intensity	QuantityValue	0.3 lux
-light_regm	global		lux; micrometer, nanometer, angstrom	Information about treatment(s) involving exposure to light, including both light intensity and quality.	TextValue	incandescant light;10 lux;450 nanometer
-magnesium	global		mole per liter, milligram per liter, parts per million, micromole per kilogram	Concentration of magnesium in the sample	QuantityValue	52.8 micromole per kilogram
-manganese	global		mg/kg (ppm)	Concentration of manganese in the sample	QuantityValue	24.7 mg/kg
-mean_frict_vel	global		meter per second	Measurement of mean friction velocity	QuantityValue	0.5 meter per second
-mean_peak_frict_vel	global		meter per second	Measurement of mean peak friction velocity	QuantityValue	1 meter per second
-methane	global		micromole per liter, parts per billion, parts per million	Methane (gas) amount or concentration at the time of sampling	QuantityValue	1800 parts per billion
-microbial_biomass	global		ton, kilogram, gram per kilogram soil	The part of the organic matter in the soil that constitutes living microorganisms smaller than 5-10 micrometer. If you keep this, you would need to have correction factors used for conversion to the final units	QuantityValue	
-mineral_nutr_regm	global		gram, mole per liter, milligram per liter	Information about treatment involving the use of mineral supplements; should include the name of mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple mineral nutrient regimens	TextValue	potassium;15 gram;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-n_alkanes	global		micromole per liter	Concentration of n-alkanes; can include multiple n-alkanes	TextValue	n-hexadecane;100 milligram per liter
-nitrate	global		micromole per liter, milligram per liter, parts per million	Concentration of nitrate in the sample	QuantityValue	65 micromole per liter
-nitrate_nitrogen	global		mg/kg	Concentration of nitrate nitrogen in the sample	QuantityValue	0.29 mg/kg
-nitrite	global		micromole per liter, milligram per liter, parts per million	Concentration of nitrite in the sample	QuantityValue	0.5 micromole per liter
-nitrite_nitrogen	global		mg/kg	Concentration of nitrite nitrogen in the sample	QuantityValue	1.2 mg/kg
-nitro	global		micromole per liter	Concentration of nitrogen (total)	QuantityValue	4.2 micromole per liter
-non_min_nutr_regm	global		gram, mole per liter, milligram per liter	Information about treatment involving the exposure of plant to non-mineral nutrient such as oxygen, hydrogen or carbon; should include the name of non-mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple non-mineral nutrient regimens	string	carbon dioxide;10 mole per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-org_carb	global		micromole per liter	Concentration of organic carbon	QuantityValue	1.5 microgram per liter
-org_count_qpcr_info	global		number of cells per gram (or ml or cm^2)	If qpcr was used for the cell count, the target gene name, the primer sequence and the cycling conditions should also be provided. (Example: 16S rrna; FWD:ACGTAGCTATGACGT REV:GTGCTAGTCGAGTAC; initial denaturation:90C_5min; denaturation:90C_2min; annealing:52C_30 sec; elongation:72C_30 sec; 90 C for 1 min; final elongation:72C_5min; 30 cycles)	string	
-org_matter	global		microgram per liter	Concentration of organic matter	QuantityValue	1.75 milligram per cubic meter
-org_nitro	global		microgram per liter	Concentration of organic nitrogen	QuantityValue	4 micromole per liter
-org_particles	global		gram per liter	Concentration of particles such as faeces, hairs, food, vomit, paper fibers, plant material, humus, etc.	TextValue	
-organism_count	global		number of cells per cubic meter, number of cells per milliliter, number of cells per cubic centimeter	Total cell count of any organism (or group of organisms) per gram, volume or area of sample, should include name of organism followed by count. The method that was used for the enumeration (e.g. qPCR, atp, mpn, etc.) Should also be provided. (example: total prokaryotes; 3.5e7 cells per ml; qpcr)	QuantityValue	total prokaryotes;3.5e7 cells per milliliter;qPCR
-owc_tvdss	global		meter	Depth of the original oil water contact (OWC) zone (average) (m TVDSS)	QuantityValue	
-oxygen	global		milligram per liter, parts per million	Oxygen (gas) amount or concentration at the time of sampling	QuantityValue	600 parts per million
-part_org_carb	global		microgram per liter	Concentration of particulate organic carbon	QuantityValue	1.92 micromole per liter
-part_org_nitro	global		microgram per liter, micromole per liter	Concentration of particulate organic nitrogen	QuantityValue	0.3 micromole per liter
-particle_class	global		micrometer	Particles are classified, based on their size, into six general categories:clay, silt, sand, gravel, cobbles, and boulders; should include amount of particle preceded by the name of the particle type; can include multiple values	TextValue	
-permeability	global		mD	Measure of the ability of a hydrocarbon resource to allow fluids to pass through it. (Additional information: https://en.wikipedia.org/wiki/Permeability_(earth_sciences))	TextValue	
-pesticide_regm	global		gram, mole per liter, milligram per liter	Information about treatment involving use of insecticides; should include the name of pesticide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple pesticide regimens	TextValue	pyrethrum;0.6 milligram per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-petroleum_hydrocarb	global		micromole per liter	Concentration of petroleum hydrocarbon	QuantityValue	0.05 micromole per liter
-phaeopigments	global		milligram per cubic meter	Concentration of phaeopigments; can include multiple phaeopigments	TextValue	2.5 milligram per cubic meter
-phosphate	global		micromole per liter	Concentration of phosphate	QuantityValue	0.7 micromole per liter
-phosplipid_fatt_acid	global		mole per gram, mole per liter	Concentration of phospholipid fatty acids; can include multiple values	TextValue	2.98 milligram per liter
-photon_flux	global		number of photons per second per unit area	Measurement of photon flux	QuantityValue	3.926 micromole photons per second per square meter
-pollutants	global		gram, mole per liter, milligram per liter, microgram per cubic meter	Pollutant types and, amount or concentrations measured at the time of sampling; can report multiple pollutants by entering numeric values preceded by name of pollutant	TextValue	lead;0.15 microgram per cubic meter
-porosity	global		percentage	Porosity of deposited sediment is volume of voids divided by the total volume of sample	TextValue	
-potassium	global		milligram per liter, parts per million	Concentration of potassium in the sample	QuantityValue	463 milligram per liter
-pour_point	global		degree Celsius	Temperature at which a liquid becomes semi solid and loses its flow characteristics. In crude oil a high pour point is generally associated with a high paraffin content, typically found in crude deriving from a larger proportion of plant material. (soure: https://en.wikipedia.org/wiki/pour_point)	QuantityValue	
-pressure	global		atmosphere	Pressure to which the sample is subject to, in atmospheres	QuantityValue	50 atmosphere
-primary_prod	global		milligram per cubic meter per day, gram per square meter per day	Measurement of primary production, generally measured as isotope uptake	QuantityValue	100 milligram per cubic meter per day
-prod_rate	global		cubic meter per day	Oil and/or gas production rates per well (e.g. 524 m3 / day)	QuantityValue	
-radiation_regm	global		rad, gray	Information about treatment involving exposure of plant or a plant part to a particular radiation regimen; should include the radiation type, amount or intensity administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple radiation regimens	TextValue	gamma radiation;60 gray;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-rainfall_regm	global		millimeter	Information about treatment involving an exposure to a given amount of rainfall, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens	TextValue	15 millimeter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-redox_potential	global		millivolt	Redox potential, measured relative to a hydrogen cell, indicating oxidation or reduction potential	QuantityValue	300 millivolt
-rel_air_humidity	global		percentage	Partial vapor and air pressure, density of the vapor and air, or by the actual mass of the vapor and air	QuantityValue	80%
-rel_humidity_out	global		gram of air, kilogram of air	The recorded outside relative humidity value at the time of sampling	QuantityValue	12 per kilogram of air
-resins_pc	global		percent	Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)	TextValue	
-room_air_exch_rate	global		liter per hour	The rate at which outside air replaces indoor air in a given space	QuantityValue	
-room_dim	global		meter	The length, width and height of sampling room	TextValue	
-room_door_dist	global		meter	Distance between doors (meters) in the hallway between the sampling room and adjacent rooms	TextValue	
-room_net_area	global		square feet, square meter	The net floor area of sampling room. Net area excludes wall thicknesses	TextValue	
-room_vol	global		cubic feet, cubic meter	Volume of sampling room	TextValue	
-root_med_carbon	global		milligram per liter	Source of organic carbon in the culture rooting medium; e.g. sucrose.	TextValue	sucrose
-root_med_macronutr	global		milligram per liter	Measurement of the culture rooting medium macronutrients (N,P, K, Ca, Mg, S); e.g. KH2PO4 (170 mg/L).	TextValue	KH2PO4;170 milligram per liter
-root_med_micronutr	global		milligram per liter	Measurement of the culture rooting medium micronutrients (Fe, Mn, Zn, B, Cu, Mo); e.g. H3BO3 (6.2 mg/L).	TextValue	H3BO3;6.2 milligram per liter
-root_med_regl	global		milligram per liter	Growth regulators in the culture rooting medium such as cytokinins, auxins, gybberellins, abscisic acid; e.g. 0.5 mg/L NAA.	TextValue	abscisic acid;0.75 milligram per liter
-root_med_suppl	global		milligram per liter	Organic supplements of the culture rooting medium, such as vitamins, amino acids, organic acids, antibiotics activated charcoal; e.g. nicotinic acid (0.5 mg/L).	TextValue	nicotinic acid;0.5 milligram per liter
-salinity	global		practical salinity unit, percentage	The total concentration of all dissolved salts in a liquid or solid sample. While salinity can be measured by a complete chemical analysis, this method is difficult and time consuming. More often, it is instead derived from the conductivity measurement. This is known as practical salinity. These derivations compare the specific conductance of the sample to a salinity standard such as seawater.	QuantityValue	25 practical salinity unit
-salt_regm	global		gram, microgram, mole per liter, gram per liter	Information about treatment involving use of salts as supplement to liquid and soil growth media; should include the name of salt, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple salt regimens	TextValue	NaCl;5 gram per liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-samp_loc_corr_rate	global		millimeter per year	Metal corrosion rate is the speed of metal deterioration due to environmental conditions. As environmental conditions change corrosion rates change accordingly. Therefore, long term corrosion rates are generally more informative than short term rates and for that reason they are preferred during reporting. In the case of suspected MIC, corrosion rate measurements at the time of sampling might provide insights into the involvement of certain microbial community members in MIC as well as potential microbial interplays	TextValue	
-samp_md	global		meter	"In non deviated well, measured depth is equal to the true vertical depth, TVD (TVD=TVDSS plus the reference or datum it refers to). In deviated wells, the MD is the length of trajectory of the borehole measured from the same reference or datum. Common datums used are ground level (GL), drilling rig floor (DF), rotary table (RT), kelly bushing (KB) and mean sea level (MSL). If ""other"" is specified, please propose entry in ""additional info"" field"	QuantityValue	1534 meter;MSL
-samp_preserv	global		milliliter	Preservative added to the sample (e.g. Rnalater, alcohol, formaldehyde, etc.). Where appropriate include volume added (e.g. Rnalater; 2 ml)	TextValue	
-samp_size	global		millliter, gram, milligram, liter	The total amount or size (volume (ml), mass (g) or area (m2) ) of sample collected.	QuantityValue	5 liter
-samp_store_temp	global		degree Celsius	Temperature at which sample was stored, e.g. -80 degree Celsius	QuantityValue	-80 degree Celsius
-samp_time_out	global		hour	The recent and long term history of outside sampling	TextValue	
-samp_transport_cond	global		days;degree Celsius	Sample transport duration (in days or hrs) and temperature the sample was exposed to (e.g. 5.5 days; 20 °C)	TextValue	5 days;-20 degree Celsius
-samp_tvdss	global		meter	Depth of the sample i.e. The vertical distance between the sea level and the sampled position in the subsurface. Depth can be reported as an interval for subsurface samples e.g. 1325.75-1362.25 m	TextValue	
-samp_vol_we_dna_ext	global		millliter, gram, milligram, square centimeter	Volume (ml) or mass (g) of total collected sample processed for DNA extraction. Note: total sample collected should be entered under the term Sample Size (MIXS:0000001).	QuantityValue	1500 milliliter
-saturates_pc	global		percent	Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)	TextValue	
-season_precpt	global		millimeter	The average of all seasonal precipitation values known, or an estimated equivalent value derived by such methods as regional indexes or Isohyetal maps.	QuantityValue	
-season_temp	global		degree Celsius	Mean seasonal temperature	QuantityValue	18 degree Celsius
-silicate	global		micromole per liter	Concentration of silicate	QuantityValue	0.05 micromole per liter
-size_frac_low	global		micrometer	Refers to the mesh/pore size used to pre-filter/pre-sort the sample. Materials larger than the size threshold are excluded from the sample	QuantityValue	0.2 micrometer
-size_frac_up	global		micrometer	Refers to the mesh/pore size used to retain the sample. Materials smaller than the size threshold are excluded from the sample	QuantityValue	20 micrometer
-slope_aspect	global		degree	The direction a slope faces. While looking down a slope use a compass to record the direction you are facing (direction or degrees); e.g., nw or 315 degrees. This measure provides an indication of sun and wind exposure that will influence soil temperature and evapotranspiration.	QuantityValue	
-slope_gradient	global		percentage	Commonly called 'slope'. The angle between ground surface and a horizontal line (in percent). This is the direction that overland water would flow. This measure is usually taken with a hand level meter or clinometer	QuantityValue	
-sludge_retent_time	global		hours	The time activated sludge remains in reactor	QuantityValue	
-sodium	global		milligram per liter, parts per million	Sodium concentration in the sample	QuantityValue	10.5 milligram per liter
-solar_irradiance	global		kilowatts per square meter per day, ergs per square centimeter per second	The amount of solar energy that arrives at a specific area of a surface during a specific time interval	QuantityValue	1.36 kilowatts per square meter per day
-soluble_inorg_mat	global		gram, microgram, mole per liter, gram per liter, parts per million	Concentration of substances such as ammonia, road-salt, sea-salt, cyanide, hydrogen sulfide, thiocyanates, thiosulfates, etc.	TextValue	
-soluble_org_mat	global		gram, microgram, mole per liter, gram per liter, parts per million	Concentration of substances such as urea, fruit sugars, soluble proteins, drugs, pharmaceuticals, etc.	TextValue	
-soluble_react_phosp	global		micromole per liter, milligram per liter, parts per million	Concentration of soluble reactive phosphorus	QuantityValue	0.1 milligram per liter
-specific_humidity	global		gram of air, kilogram of air	The mass of water vapour in a unit mass of moist air, usually expressed as grams of vapour per kilogram of air, or, in air conditioning, as grains per pound.	QuantityValue	15 per kilogram of air
-sulfate	global		micromole per liter, milligram per liter, parts per million	Concentration of sulfate in the sample	QuantityValue	5 micromole per liter
-sulfate_fw	global		milligram per liter	Original sulfate concentration in the hydrocarbon resource	QuantityValue	
-sulfide	global		micromole per liter, milligram per liter, parts per million	Concentration of sulfide in the sample	QuantityValue	2 micromole per liter
-surf_humidity	global		percentage	Surfaces: water activity as a function of air and material moisture	QuantityValue	10%
-surf_moisture	global		parts per million, gram per cubic meter, gram per square meter	Water held on a surface	QuantityValue	0.01 gram per square meter
-surf_temp	global		degree Celsius	Temperature of the surface at the time of sampling	QuantityValue	15 degree Celsius
-suspend_part_matter	global		milligram per liter	Concentration of suspended particulate matter	QuantityValue	0.5 milligram per liter
-suspend_solids	global		gram, microgram, milligram per liter, mole per liter, gram per liter, part per million	Concentration of substances including a wide variety of material, such as silt, decaying plant and animal matter; can include multiple substances	TextValue	
-tan	global		milligram per liter	Total Acid Number (TAN) is a measurement of acidity that is determined by the amount of potassium hydroxide in milligrams that is needed to neutralize the acids in one gram of oil. It is an important quality measurement of crude oil. (source: https://en.wikipedia.org/wiki/Total_acid_number)	QuantityValue	
-temp	global		degree Celsius	Temperature of the sample at the time of sampling.	QuantityValue	25 degree Celsius
-temp_out	global		degree Celsius	The recorded temperature value at sampling time outside	QuantityValue	5 degree Celsius
-toluene	global		milligram per liter, parts per million	Concentration of toluene in the sample	QuantityValue	
-tot_carb	global		microgram per liter	Total carbon content	QuantityValue	
-tot_depth_water_col	global		meter	Measurement of total depth of water column	QuantityValue	500 meter
-tot_diss_nitro	global		microgram per liter	Total dissolved nitrogen concentration, reported as nitrogen, measured by: total dissolved nitrogen = NH4 + NO3NO2 + dissolved organic nitrogen	QuantityValue	40 microgram per liter
-tot_inorg_nitro	global		microgram per liter	Total inorganic nitrogen content	QuantityValue	40 microgram per liter
-tot_iron	global		milligram per liter, milligram per kilogram	Concentration of total iron in the sample	QuantityValue	
-tot_nitro	global		microgram per liter, micromole per liter, milligram per liter	Total nitrogen concentration of water samples, calculated by: total nitrogen = total dissolved nitrogen + particulate nitrogen. Can also be measured without filtering, reported as nitrogen	QuantityValue	50 micromole per liter
-tot_nitro_content	global		microgram per liter, micromole per liter, milligram per liter	Total nitrogen content of the sample	QuantityValue	
-tot_org_carb	global		gram Carbon per kilogram sample material	Definition for soil: total organic carbon content of the soil, definition otherwise: total organic carbon content	QuantityValue	
-tot_part_carb	global		microgram per liter, micromole per liter	Total particulate carbon content	QuantityValue	35 micromole per liter
-tot_phosp	global		micromole per liter, milligram per liter, parts per million	Total phosphorus concentration in the sample, calculated by: total phosphorus = total dissolved phosphorus + particulate phosphorus	QuantityValue	0.03 milligram per liter
-tot_phosphate	global		microgram per liter, micromole per liter	Total amount or concentration of phosphate	QuantityValue	
-tot_sulfur	global		milligram per liter, parts per million	Concentration of total sulfur in the sample	QuantityValue	
-turbidity	global		formazin turbidity unit, formazin nephelometric units	Measure of the amount of cloudiness or haziness in water caused by individual particles	QuantityValue	0.3 nephelometric turbidity units
-tvdss_of_hcr_press	global		meter	True vertical depth subsea (TVDSS) of the hydrocarbon resource where the original pressure was measured (e.g. 1578 m).	QuantityValue	
-tvdss_of_hcr_temp	global		meter	True vertical depth subsea (TVDSS) of the hydrocarbon resource where the original temperature was measured (e.g. 1345 m).	QuantityValue	
-ventilation_rate	global		cubic meter per minute, liters per second	Ventilation rate of the system in the sampled premises	QuantityValue	750 cubic meter per minute
-vfa	global		milligram per liter, parts per million	Concentration of Volatile Fatty Acids in the sample	QuantityValue	
-vfa_fw	global		milligram per liter	Original volatile fatty acid concentration in the hydrocarbon resource	QuantityValue	
-viscosity	global		cP at degree Celsius	A measure of oil's resistance to gradual deformation by shear stress or tensile stress (e.g. 3.5 cp; 100 °C)	TextValue	
-volatile_org_comp	global		microgram per cubic meter, parts per million, nanogram per liter	Concentration of carbon-based chemicals that easily evaporate at room temperature; can report multiple volatile organic compounds by entering numeric values preceded by name of compound	TextValue	formaldehyde;500 nanogram per liter
-wall_area	global		square meter	The total area of the sampled room's walls	QuantityValue	
-wall_height	global		centimeter	The average height of the walls in the sampled room	QuantityValue	
-wall_thermal_mass	global		joule per degree Celsius	The ability of the wall to provide inertia against temperature fluctuations. Generally this means concrete or concrete block that is either exposed or covered only with paint	QuantityValue	
-water_content	class_usage	Biosample	gram per gram or cubic centimeter per cubic centimeter		string	0.75 g water/g dry soil; 75% water holding capacity; 1.1 g fresh weight/ dry weight; 10% water filled pore space
-water_content	global		gram per gram or cubic centimeter per cubic centimeter	Water content measurement	string	
-water_current	global		cubic meter per second, knots	Measurement of magnitude and direction of flow within a fluid	QuantityValue	10 cubic meter per second
-water_cut	global		percent	Current amount of water (%) in a produced fluid stream; or the average of the combined streams	QuantityValue	
-water_feat_size	global		square meter	The size of the water feature	QuantityValue	
-water_prod_rate	global		cubic meter per day	Water production rates per well (e.g. 987 m3 / day)	QuantityValue	
-water_temp_regm	global		degree Celsius	Information about treatment involving an exposure to water with varying degree of temperature, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens	TextValue	15 degree Celsius;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-watering_regm	global		milliliter, liter	Information about treatment involving an exposure to watering frequencies, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens	TextValue	1 liter;R2/2018-05-11T14:30/2018-05-11T19:30/P1H30M
-wind_speed	global		meter per second, kilometer per hour	Speed of wind measured at the time of sampling	QuantityValue	21 kilometer per hour
-window_size	global		inch, meter	The window's length and width	TextValue	
-xylene	global		milligram per liter, parts per million	Concentration of xylene in the sample	QuantityValue	
-zinc	global		mg/kg (ppm)	Concentration of zinc in the sample	QuantityValue	2.5 mg/kg
diff --git a/units/output/schema_qv_complete_table.txt b/units/output/schema_qv_complete_table.txt
index 86d526736e..4d8e1fd13e 100644
--- a/units/output/schema_qv_complete_table.txt
+++ b/units/output/schema_qv_complete_table.txt
@@ -43,9 +43,9 @@ depth | m
 dew_point | Cel
 diss_carb_dioxide | mg/L|umol/L
 diss_hydrogen | umol/L
-diss_inorg_carb | [ppm]|mg/L|ug/L
+diss_inorg_carb | [ppm]|mg/L|ug/L|umol/kg
 diss_inorg_nitro | ug/L|umol/L|mg/L
-diss_inorg_phosp | [ppm]|mg/L|ug/L
+diss_inorg_phosp | [ppm]|mg/L|ug/L|umol/L
 diss_iron | mg/L
 diss_org_carb | mg/L|umol/L|ug/L
 diss_org_nitro | mg/L|ug/L
@@ -57,12 +57,12 @@ duration | h|min
 efficiency_percent | MISSING
 ethylbenzene | [ppm]|mg/L
 exp_duct | m2
-exp_pipe | MISSING
+exp_pipe | 1
 filter_pore_size | MISSING
 floor_age | a|d|wk
 floor_area | m2
 floor_thermal_mass | J/K
-fluor | mg/m3
+fluor | mg/m3|V
 freq_clean | 1/d
 freq_cook | 1/d
 glucosidase_act | mol/L/h
@@ -100,9 +100,9 @@ nitro | umol/L|%
 number_pets | 1
 number_plants | 1
 number_resident | 1
-occup_density_samp | MISSING
+occup_density_samp | 1/[sft_i]
 occup_samp | 1
-org_carb | umol/L|%
+org_carb | umol/L|%|mg/L
 org_matter | ug/L
 org_nitro | ug/L
 organism_count | 1
diff --git a/units/output/schema_qv_storage_counts.tsv b/units/output/schema_qv_storage_counts.tsv
index f6a9e0962a..0908786e06 100644
--- a/units/output/schema_qv_storage_counts.tsv
+++ b/units/output/schema_qv_storage_counts.tsv
@@ -1,4 +1,4 @@
 metric	count
-qv_slots_with_storage_units	170
-qv_slots_without_storage_units	18
+qv_slots_with_storage_units	172
+qv_slots_without_storage_units	16
 qv_slots_total	188
diff --git a/units/output/schema_qv_with_storage.txt b/units/output/schema_qv_with_storage.txt
index 9ecb6af616..8e6da7c332 100644
--- a/units/output/schema_qv_with_storage.txt
+++ b/units/output/schema_qv_with_storage.txt
@@ -62,6 +62,7 @@ door_size
 down_par
 ethylbenzene
 exp_duct
+exp_pipe
 floor_age
 floor_area
 floor_thermal_mass
@@ -93,6 +94,7 @@ nitro
 number_pets
 number_plants
 number_resident
+occup_density_samp
 occup_samp
 org_carb
 org_matter
diff --git a/units/output/schema_qv_without_storage.txt b/units/output/schema_qv_without_storage.txt
index e02f222cd5..fba6b45048 100644
--- a/units/output/schema_qv_without_storage.txt
+++ b/units/output/schema_qv_without_storage.txt
@@ -8,10 +8,8 @@ bulk_elect_conductivity | MISSING
 concentration | MISSING
 api | MISSING
 efficiency_percent | MISSING
-exp_pipe | MISSING
 inside_lux | MISSING
 microbial_biomass | MISSING
-occup_density_samp | MISSING
 rel_humidity_out | MISSING
 soil_text_measure | MISSING
 specific_humidity | MISSING
diff --git a/units/output/schema_storage_units_expanded.tsv b/units/output/schema_storage_units_expanded.tsv
deleted file mode 100644
index f81463a3d1..0000000000
--- a/units/output/schema_storage_units_expanded.tsv
+++ /dev/null
@@ -1,287 +0,0 @@
-slot	storage_unit
-input_mass	g
-subsurface_depth	m
-zinc	[ppm]
-zinc	mg/kg
-zinc	mg/L
-manganese	[ppm]
-manganese	mg/kg
-manganese	mg/L
-ammonium_nitrogen	[ppm]
-ammonium_nitrogen	mg/kg
-ammonium_nitrogen	mg/L
-nitrate_nitrogen	[ppm]
-nitrate_nitrogen	mg/kg
-nitrate_nitrogen	mg/L
-nitrite_nitrogen	[ppm]
-nitrite_nitrogen	mg/kg
-nitrite_nitrogen	mg/L
-lbc_thirty	[ppm]
-lbceq	[ppm]
-mass	g
-duration	h
-duration	min
-temperature	Cel
-volume	mL
-volume	uL
-abs_air_humidity	[lb_av]
-abs_air_humidity	g/g
-abs_air_humidity	kg
-abs_air_humidity	kg/kg
-air_temp	Cel
-al_sat	%
-alkalinity	meq/L
-alkalinity	mg/L
-alkyl_diethers	mol/L
-alt	m
-aminopept_act	mol/L/h
-ammonium	[ppm]
-ammonium	mg/L
-ammonium	umol/L
-amount_light	lm/m2
-amount_light	lx
-annual_precpt	mm
-annual_temp	Cel
-avg_dew_point	Cel
-avg_temp	Cel
-bac_prod	mg/m3/d
-bac_resp	mg/m3/d
-bac_resp	umol/L/h
-bacteria_carb_prod	ng/h
-barometric_press	mbar
-benzene	[ppm]
-benzene	mg/L
-biochem_oxygen_dem	mg/L
-bishomohopanol	ug/L
-bishomohopanol	ug/g
-blood_press_diast	mm[Hg]
-blood_press_syst	mm[Hg]
-bromide	[ppm]
-built_struc_age	a
-calcium	[ppm]
-calcium	mg/L
-calcium	umol/L
-calcium	mg/kg
-carb_dioxide	[ppm]
-carb_dioxide	umol/L
-carb_monoxide	[ppm]
-carb_monoxide	umol/L
-carb_nitro_ratio	1
-ceil_area	m2
-ceil_thermal_mass	J/K
-chem_oxygen_dem	mg/L
-chloride	[ppm]
-chloride	mg/L
-chlorophyll	mg/m3
-chlorophyll	ug/L
-conduc	mS/cm
-conduc	uS/cm
-density	g/cm3
-density	g/m3
-density	kg/m3
-depth	m
-dew_point	Cel
-diss_carb_dioxide	mg/L
-diss_carb_dioxide	umol/L
-diss_hydrogen	umol/L
-diss_inorg_carb	[ppm]
-diss_inorg_carb	mg/L
-diss_inorg_carb	ug/L
-diss_inorg_nitro	ug/L
-diss_inorg_nitro	umol/L
-diss_inorg_nitro	mg/L
-diss_inorg_phosp	[ppm]
-diss_inorg_phosp	mg/L
-diss_inorg_phosp	ug/L
-diss_iron	mg/L
-diss_org_carb	mg/L
-diss_org_carb	umol/L
-diss_org_carb	ug/L
-diss_org_nitro	mg/L
-diss_org_nitro	ug/L
-diss_oxygen	mg/L
-diss_oxygen	umol/kg
-diss_oxygen	umol/L
-diss_oxygen_fluid	mg/L
-diss_oxygen_fluid	umol/kg
-door_size	m2
-down_par	umol/m2/s
-ethylbenzene	[ppm]
-ethylbenzene	mg/L
-exp_duct	m2
-floor_age	a
-floor_age	d
-floor_age	wk
-floor_area	m2
-floor_thermal_mass	J/K
-fluor	mg/m3
-freq_clean	1/d
-freq_cook	1/d
-glucosidase_act	mol/L/h
-hcr_fw_salinity	mg/L
-height_carper_fiber	cm
-host_age	a
-host_age	d
-host_age	h
-host_body_temp	Cel
-host_dry_mass	g
-host_dry_mass	kg
-host_height	cm
-host_height	m
-host_height	mm
-host_length	cm
-host_length	m
-host_length	mm
-host_tot_mass	g
-host_tot_mass	kg
-host_wet_mass	g
-host_wet_mass	kg
-humidity	g/m3
-humidity	%
-indust_eff_percent	%
-iwf	%
-light_intensity	lx
-magnesium	[ppm]
-magnesium	mg/L
-magnesium	mol/L
-magnesium	umol/kg
-magnesium	mg/kg
-max_occup	1
-mean_frict_vel	m/s
-mean_peak_frict_vel	m/s
-methane	[ppb]
-methane	[ppm]
-methane	umol/L
-nitrate	[ppm]
-nitrate	mg/L
-nitrate	umol/L
-nitrite	[ppm]
-nitrite	mg/L
-nitrite	umol/L
-nitro	umol/L
-nitro	%
-number_pets	1
-number_plants	1
-number_resident	1
-occup_samp	1
-org_carb	umol/L
-org_carb	%
-org_matter	ug/L
-org_nitro	ug/L
-organism_count	1
-owc_tvdss	m
-oxygen	[ppm]
-oxygen	mg/L
-part_org_carb	ug/L
-part_org_carb	mg/L
-part_org_nitro	ug/L
-part_org_nitro	umol/L
-part_org_nitro	mg/L
-petroleum_hydrocarb	umol/L
-phosphate	umol/L
-photon_flux	umol/m2/s
-potassium	[ppm]
-potassium	mg/L
-potassium	mg/kg
-pour_point	Cel
-pressure	atm
-primary_prod	g/m2/d
-primary_prod	mg/m3/d
-prod_rate	m3/d
-redox_potential	mV
-rel_air_humidity	%
-room_air_exch_rate	L/h
-room_occup	1
-root_med_ph	[pH]
-salinity	%
-salinity	mg/L
-samp_md	m
-samp_size	L
-samp_size	g
-samp_size	mL
-samp_size	mg
-samp_store_temp	Cel
-samp_vol_we_dna_ext	cm2
-samp_vol_we_dna_ext	g
-samp_vol_we_dna_ext	mL
-samp_vol_we_dna_ext	mg
-season_precpt	mm
-season_temp	Cel
-silicate	umol/L
-size_frac_low	um
-size_frac_up	um
-slope_aspect	deg
-slope_gradient	%
-sludge_retent_time	h
-sodium	[ppm]
-sodium	mg/L
-solar_irradiance	kW/m2/d
-solar_irradiance	erg/cm2/s
-soluble_react_phosp	[ppm]
-soluble_react_phosp	mg/L
-soluble_react_phosp	umol/L
-soluble_react_phosp	ug/L
-sulfate	[ppm]
-sulfate	mg/L
-sulfate	umol/L
-sulfate_fw	mg/L
-sulfide	[ppm]
-sulfide	mg/L
-sulfide	umol/L
-surf_humidity	%
-surf_moisture	[ppm]
-surf_moisture	g/m2
-surf_moisture	g/m3
-surf_temp	Cel
-suspend_part_matter	mg/L
-tan	mg/L
-temp	Cel
-temp_out	Cel
-toluene	[ppm]
-toluene	mg/L
-tot_carb	ug/L
-tot_carb	%
-tot_depth_water_col	m
-tot_diss_nitro	ug/L
-tot_diss_nitro	umol/L
-tot_inorg_nitro	ug/L
-tot_iron	mg/L
-tot_iron	mg/kg
-tot_nitro	mg/L
-tot_nitro	ug/L
-tot_nitro	umol/L
-tot_nitro	%
-tot_nitro_content	mg/L
-tot_nitro_content	ug/L
-tot_nitro_content	umol/L
-tot_nitro_content	%
-tot_org_carb	mg/L
-tot_part_carb	ug/L
-tot_part_carb	umol/L
-tot_phosp	[ppm]
-tot_phosp	mg/L
-tot_phosp	umol/L
-tot_phosphate	ug/L
-tot_phosphate	umol/L
-tot_sulfur	[ppm]
-tot_sulfur	mg/L
-turbidity	[NTU]
-turbidity	[FNU]
-tvdss_of_hcr_press	m
-ventilation_rate	L/s
-ventilation_rate	m3/min
-vfa	[ppm]
-vfa	mg/L
-vfa_fw	mg/L
-wall_area	m2
-wall_height	cm
-wall_thermal_mass	J/K
-water_current	[kn_i]
-water_current	m3/s
-water_cut	%
-water_feat_size	m2
-water_prod_rate	m3/d
-wind_speed	km/h
-wind_speed	m/s
-xylene	[ppm]
-xylene	mg/L
diff --git a/units/output/schema_ucum_detailed.tsv b/units/output/schema_ucum_detailed.tsv
deleted file mode 100644
index 74460eca62..0000000000
--- a/units/output/schema_ucum_detailed.tsv
+++ /dev/null
@@ -1,370 +0,0 @@
-slot	ucum_notation	problem	original_preferred_unit	individual_unit	context	class_name	description
-abs_air_humidity	gram per gram	1	gram per gram, kilogram per kilogram, kilogram, pound	gram per gram	global		Actual mass of water vapor - mh20 - present in the air water vapor mixture
-abs_air_humidity	kilogram per kilogram	1	gram per gram, kilogram per kilogram, kilogram, pound	kilogram per kilogram	global		Actual mass of water vapor - mh20 - present in the air water vapor mixture
-abs_air_humidity	kg	0	gram per gram, kilogram per kilogram, kilogram, pound	kilogram	global		Actual mass of water vapor - mh20 - present in the air water vapor mixture
-abs_air_humidity	pound	1	gram per gram, kilogram per kilogram, kilogram, pound	pound	global		Actual mass of water vapor - mh20 - present in the air water vapor mixture
-agrochem_addition	g	0	gram, mole per liter, milligram per liter	gram	global		Addition of fertilizers, pesticides, etc. - amount and time of applications
-agrochem_addition	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Addition of fertilizers, pesticides, etc. - amount and time of applications
-agrochem_addition	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Addition of fertilizers, pesticides, etc. - amount and time of applications
-air_PM_concen	micrograms per cubic meter	1	micrograms per cubic meter	micrograms per cubic meter	global		Concentration of substances that remain suspended in the air, and comprise mixtures of organic and inorganic substances (PM10 and PM2.5); can report multiple PM's by entering numeric values preceded by name of PM
-air_temp	Cel	0	degree Celsius	degree Celsius	global		Temperature of the air at the time of sampling
-air_temp_regm	m	0	meter	meter	global		Information about treatment involving an exposure to varying temperatures; should include the temperature, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include different temperature regimens
-al_sat	%	0	percentage	percentage	global		Aluminum saturation (esp. For tropical soils)
-alkalinity	milliequivalent per liter	1	milliequivalent per liter, milligram per liter	milliequivalent per liter	global		Alkalinity, the ability of a solution to neutralize acids to the equivalence point of carbonate or bicarbonate
-alkalinity	milligram per liter	1	milliequivalent per liter, milligram per liter	milligram per liter	global		Alkalinity, the ability of a solution to neutralize acids to the equivalence point of carbonate or bicarbonate
-alkyl_diethers	mol/L	0	mole per liter	mole per liter	global		Concentration of alkyl diethers
-aminopept_act	mole per liter per hour	1	mole per liter per hour	mole per liter per hour	global		Measurement of aminopeptidase activity
-ammonium	micromole per liter	1	micromole per liter, milligram per liter, parts per million	micromole per liter	global		Concentration of ammonium in the sample
-ammonium	milligram per liter	1	micromole per liter, milligram per liter, parts per million	milligram per liter	global		Concentration of ammonium in the sample
-ammonium	parts per million	1	micromole per liter, milligram per liter, parts per million	parts per million	global		Concentration of ammonium in the sample
-ammonium_nitrogen	mg/kg	1	mg/kg	mg/kg	global		Concentration of ammonium nitrogen in the sample
-amount_light	lux	1	lux, lumens per square meter	lux	global		The unit of illuminance and luminous emittance, measuring luminous flux per unit area
-amount_light	lumens per square meter	1	lux, lumens per square meter	lumens per square meter	global		The unit of illuminance and luminous emittance, measuring luminous flux per unit area
-annual_precpt	mm	0	millimeter	millimeter	global		The average of all annual precipitation values known, or an estimated equivalent value derived by such methods as regional indexes or Isohyetal maps.
-annual_temp	Cel	0	degree Celsius	degree Celsius	global		Mean annual temperature
-antibiotic_regm	mg	0	milligram	milligram	global		Information about treatment involving antibiotic administration; should include the name of antibiotic, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple antibiotic regimens
-api	degrees API	1	degrees API	degrees API	global		API gravity is a measure of how heavy or light a petroleum liquid is compared to water (source: https://en.wikipedia.org/wiki/API_gravity) (e.g. 31.1° API)
-aromatics_pc	%	0	percent	percent	global		Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)
-asphaltenes_pc	%	0	percent	percent	global		Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)
-avg_dew_point	Cel	0	degree Celsius	degree Celsius	global		The average of dew point measures taken at the beginning of every hour over a 24 hour period on the sampling day
-avg_temp	Cel	0	degree Celsius	degree Celsius	global		The average of temperatures taken at the beginning of every hour over a 24 hour period on the sampling day
-bac_prod	milligram per cubic meter per day	1	milligram per cubic meter per day	milligram per cubic meter per day	global		Bacterial production in the water column measured by isotope uptake
-bac_resp	milligram per cubic meter per day	1	milligram per cubic meter per day, micromole oxygen per liter per hour	milligram per cubic meter per day	global		Measurement of bacterial respiration in the water column
-bac_resp	micromole oxygen per liter per hour	1	milligram per cubic meter per day, micromole oxygen per liter per hour	micromole oxygen per liter per hour	global		Measurement of bacterial respiration in the water column
-bacteria_carb_prod	ng/h	0	nanogram per hour	nanogram per hour	global		Measurement of bacterial carbon production
-barometric_press	mbar	0	millibar	millibar	global		Force per unit area exerted against a surface by the weight of air above that surface
-benzene	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of benzene in the sample
-benzene	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of benzene in the sample
-biochem_oxygen_dem	milligram per liter	1	milligram per liter	milligram per liter	global		Amount of dissolved oxygen needed by aerobic biological organisms in a body of water to break down organic material present in a given water sample at certain temperature over a specific time period
-biocide_admin_method	milligram per liter	1	milligram per liter	milligram per liter	global		Method of biocide administration (dose, frequency, duration, time elapsed between last biociding and sampling) (e.g. 150 mg/l; weekly; 4 hr; 3 days)
-biomass	ton	1	ton, kilogram, gram	ton	global		Amount of biomass; should include the name for the part of biomass measured, e.g. Microbial, total. Can include multiple measurements
-biomass	kg	0	ton, kilogram, gram	kilogram	global		Amount of biomass; should include the name for the part of biomass measured, e.g. Microbial, total. Can include multiple measurements
-biomass	g	0	ton, kilogram, gram	gram	global		Amount of biomass; should include the name for the part of biomass measured, e.g. Microbial, total. Can include multiple measurements
-bishomohopanol	microgram per liter	1	microgram per liter, microgram per gram	microgram per liter	global		Concentration of bishomohopanol
-bishomohopanol	microgram per gram	1	microgram per liter, microgram per gram	microgram per gram	global		Concentration of bishomohopanol
-blood_press_diast	millimeter mercury	1	millimeter mercury	millimeter mercury	global		Resting diastolic blood pressure, measured as mm mercury
-blood_press_syst	millimeter mercury	1	millimeter mercury	millimeter mercury	global		Resting systolic blood pressure, measured as mm mercury
-bromide	parts per million	1	parts per million	parts per million	global		Concentration of bromide
-built_struc_age	a	0	year	year	global		The age of the built structure since construction
-calcium	milligram per liter	1	milligram per liter, micromole per liter, parts per million	milligram per liter	global		Concentration of calcium in the sample
-calcium	micromole per liter	1	milligram per liter, micromole per liter, parts per million	micromole per liter	global		Concentration of calcium in the sample
-calcium	parts per million	1	milligram per liter, micromole per liter, parts per million	parts per million	global		Concentration of calcium in the sample
-carb_dioxide	micromole per liter	1	micromole per liter, parts per million	micromole per liter	global		Carbon dioxide (gas) amount or concentration at the time of sampling
-carb_dioxide	parts per million	1	micromole per liter, parts per million	parts per million	global		Carbon dioxide (gas) amount or concentration at the time of sampling
-carb_monoxide	micromole per liter	1	micromole per liter, parts per million	micromole per liter	global		Carbon monoxide (gas) amount or concentration at the time of sampling
-carb_monoxide	parts per million	1	micromole per liter, parts per million	parts per million	global		Carbon monoxide (gas) amount or concentration at the time of sampling
-ceil_area	m2	0	square meter	square meter	global		The area of the ceiling space within the room
-ceil_thermal_mass	joule per degree Celsius	1	joule per degree Celsius	joule per degree Celsius	global		The ability of the ceiling to provide inertia against temperature fluctuations. Generally this means concrete that is exposed. A metal deck that supports a concrete slab will act thermally as long as it is exposed to room air flow
-chem_mutagen	milligram per liter	1	milligram per liter	milligram per liter	global		Treatment involving use of mutagens; should include the name of mutagen, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple mutagen regimens
-chem_oxygen_dem	milligram per liter	1	milligram per liter	milligram per liter	global		A measure of the capacity of water to consume oxygen during the decomposition of organic matter and the oxidation of inorganic chemicals such as ammonia and nitrite
-chem_treat_method	milligram per liter	1	milligram per liter	milligram per liter	global		Method of chemical administration(dose, frequency, duration, time elapsed between administration and sampling) (e.g. 50 mg/l; twice a week; 1 hr; 0 days)
-chloride	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of chloride in the sample
-chloride	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of chloride in the sample
-chlorophyll	milligram per cubic meter	1	milligram per cubic meter, microgram per liter	milligram per cubic meter	global		Concentration of chlorophyll
-chlorophyll	microgram per liter	1	milligram per cubic meter, microgram per liter	microgram per liter	global		Concentration of chlorophyll
-conduc	milliSiemens per centimeter	1	milliSiemens per centimeter	milliSiemens per centimeter	global		Electrical conductivity of water
-density	g/m3	0	gram per cubic meter, gram per cubic centimeter	gram per cubic meter	global		Density of the sample, which is its mass per unit volume (aka volumetric mass density)
-density	g/cm3	0	gram per cubic meter, gram per cubic centimeter	gram per cubic centimeter	global		Density of the sample, which is its mass per unit volume (aka volumetric mass density)
-dew_point	Cel	0	degree Celsius	degree Celsius	global		The temperature to which a given parcel of humid air must be cooled, at constant barometric pressure, for water vapor to condense into water.
-diether_lipids	ng/L	0	nanogram per liter	nanogram per liter	global		Concentration of diether lipids; can include multiple types of diether lipids
-diss_carb_dioxide	micromole per liter	1	micromole per liter, milligram per liter	micromole per liter	global		Concentration of dissolved carbon dioxide in the sample or liquid portion of the sample
-diss_carb_dioxide	milligram per liter	1	micromole per liter, milligram per liter	milligram per liter	global		Concentration of dissolved carbon dioxide in the sample or liquid portion of the sample
-diss_hydrogen	micromole per liter	1	micromole per liter	micromole per liter	global		Concentration of dissolved hydrogen
-diss_inorg_carb	microgram per liter	1	microgram per liter, milligram per liter, parts per million	microgram per liter	global		Dissolved inorganic carbon concentration in the sample, typically measured after filtering the sample using a 0.45 micrometer filter
-diss_inorg_carb	milligram per liter	1	microgram per liter, milligram per liter, parts per million	milligram per liter	global		Dissolved inorganic carbon concentration in the sample, typically measured after filtering the sample using a 0.45 micrometer filter
-diss_inorg_carb	parts per million	1	microgram per liter, milligram per liter, parts per million	parts per million	global		Dissolved inorganic carbon concentration in the sample, typically measured after filtering the sample using a 0.45 micrometer filter
-diss_inorg_nitro	microgram per liter	1	microgram per liter, micromole per liter	microgram per liter	global		Concentration of dissolved inorganic nitrogen
-diss_inorg_nitro	micromole per liter	1	microgram per liter, micromole per liter	micromole per liter	global		Concentration of dissolved inorganic nitrogen
-diss_inorg_phosp	microgram per liter	1	microgram per liter, milligram per liter, parts per million	microgram per liter	global		Concentration of dissolved inorganic phosphorus in the sample
-diss_inorg_phosp	milligram per liter	1	microgram per liter, milligram per liter, parts per million	milligram per liter	global		Concentration of dissolved inorganic phosphorus in the sample
-diss_inorg_phosp	parts per million	1	microgram per liter, milligram per liter, parts per million	parts per million	global		Concentration of dissolved inorganic phosphorus in the sample
-diss_iron	milligram per liter	1	milligram per liter	milligram per liter	global		Concentration of dissolved iron in the sample
-diss_org_carb	micromole per liter	1	micromole per liter, milligram per liter	micromole per liter	global		Concentration of dissolved organic carbon in the sample, liquid portion of the sample, or aqueous phase of the fluid
-diss_org_carb	milligram per liter	1	micromole per liter, milligram per liter	milligram per liter	global		Concentration of dissolved organic carbon in the sample, liquid portion of the sample, or aqueous phase of the fluid
-diss_org_nitro	microgram per liter	1	microgram per liter, milligram per liter	microgram per liter	global		Dissolved organic nitrogen concentration measured as; total dissolved nitrogen - NH4 - NO3 - NO2
-diss_org_nitro	milligram per liter	1	microgram per liter, milligram per liter	milligram per liter	global		Dissolved organic nitrogen concentration measured as; total dissolved nitrogen - NH4 - NO3 - NO2
-diss_oxygen	micromole per kilogram	1	micromole per kilogram, milligram per liter	micromole per kilogram	global		Concentration of dissolved oxygen
-diss_oxygen	milligram per liter	1	micromole per kilogram, milligram per liter	milligram per liter	global		Concentration of dissolved oxygen
-diss_oxygen_fluid	micromole per kilogram	1	micromole per kilogram, milligram per liter	micromole per kilogram	global		Concentration of dissolved oxygen in the oil field produced fluids as it contributes to oxgen-corrosion and microbial activity (e.g. Mic).
-diss_oxygen_fluid	milligram per liter	1	micromole per kilogram, milligram per liter	milligram per liter	global		Concentration of dissolved oxygen in the oil field produced fluids as it contributes to oxgen-corrosion and microbial activity (e.g. Mic).
-door_size	m2	0	square meter	square meter	global		The size of the door
-down_par	microEinstein per square meter per second	1	microEinstein per square meter per second, microEinstein per square centimeter per second	microEinstein per square meter per second	global		Visible waveband radiance and irradiance measurements in the water column
-down_par	microEinstein per square centimeter per second	1	microEinstein per square meter per second, microEinstein per square centimeter per second	microEinstein per square centimeter per second	global		Visible waveband radiance and irradiance measurements in the water column
-efficiency_percent	micromole per liter	1	micromole per liter	micromole per liter	global		Percentage of volatile solids removed from the anaerobic digestor
-emulsions	g/L	0	gram per liter	gram per liter	global		Amount or concentration of substances such as paints, adhesives, mayonnaise, hair colorants, emulsified oils, etc.; can include multiple emulsion types
-ethylbenzene	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of ethylbenzene in the sample
-ethylbenzene	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of ethylbenzene in the sample
-exp_duct	m2	0	square meter	square meter	global		The amount of exposed ductwork in the room
-fertilizer_regm	g	0	gram, mole per liter, milligram per liter	gram	global		Information about treatment involving the use of fertilizers; should include the name of fertilizer, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fertilizer regimens
-fertilizer_regm	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Information about treatment involving the use of fertilizers; should include the name of fertilizer, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fertilizer regimens
-fertilizer_regm	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Information about treatment involving the use of fertilizers; should include the name of fertilizer, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fertilizer regimens
-floor_age	years	1	years, weeks, days	years	global		The time period since installment of the carpet or flooring
-floor_age	weeks	1	years, weeks, days	weeks	global		The time period since installment of the carpet or flooring
-floor_age	days	1	years, weeks, days	days	global		The time period since installment of the carpet or flooring
-floor_area	m2	0	square meter	square meter	global		The area of the floor space within the room
-floor_thermal_mass	joule per degree Celsius	1	joule per degree Celsius	joule per degree Celsius	global		The ability of the floor to provide inertia against temperature fluctuations
-fluor	milligram chlorophyll a per cubic meter	1	milligram chlorophyll a per cubic meter, volts	milligram chlorophyll a per cubic meter	global		Raw or converted fluorescence of water
-fluor	volts	1	milligram chlorophyll a per cubic meter, volts	volts	global		Raw or converted fluorescence of water
-fungicide_regm	g	0	gram, mole per liter, milligram per liter	gram	global		Information about treatment involving use of fungicides; should include the name of fungicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fungicide regimens
-fungicide_regm	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Information about treatment involving use of fungicides; should include the name of fungicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fungicide regimens
-fungicide_regm	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Information about treatment involving use of fungicides; should include the name of fungicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple fungicide regimens
-gaseous_environment	micromole per liter	1	micromole per liter	micromole per liter	global		Use of conditions with differing gaseous environments; should include the name of gaseous compound, amount administered, treatment duration, interval and total experimental duration; can include multiple gaseous environment regimens
-gaseous_substances	micromole per liter	1	micromole per liter	micromole per liter	global		Amount or concentration of substances such as hydrogen sulfide, carbon dioxide, methane, etc.; can include multiple substances
-glucosidase_act	mol per liter per hour	1	mol per liter per hour	mol per liter per hour	global		Measurement of glucosidase activity
-gravity	meter per square second	1	meter per square second, g	meter per square second	global		Information about treatment involving use of gravity factor to study various types of responses in presence, absence or modified levels of gravity; treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple treatments
-gravity	g	1	meter per square second, g	g	global		Information about treatment involving use of gravity factor to study various types of responses in presence, absence or modified levels of gravity; treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple treatments
-growth_hormone_regm	g	0	gram, mole per liter, milligram per liter	gram	global		Information about treatment involving use of growth hormones; should include the name of growth hormone, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple growth hormone regimens
-growth_hormone_regm	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Information about treatment involving use of growth hormones; should include the name of growth hormone, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple growth hormone regimens
-growth_hormone_regm	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Information about treatment involving use of growth hormones; should include the name of growth hormone, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple growth hormone regimens
-hcr_fw_salinity	milligram per liter	1	milligram per liter	milligram per liter	global		Original formation water salinity (prior to secondary recovery e.g. Waterflooding) expressed as TDS
-hcr_pressure	atm	0	atmosphere, kilopascal	atmosphere	global		Original pressure of the hydrocarbon resource
-hcr_pressure	kilopascal	1	atmosphere, kilopascal	kilopascal	global		Original pressure of the hydrocarbon resource
-hcr_temp	Cel	0	degree Celsius	degree Celsius	global		Original temperature of the hydrocarbon resource
-heavy_metals	microgram per gram	1	microgram per gram	microgram per gram	global		Heavy metals present in the sequenced sample and their concentrations. For multiple heavy metals and concentrations, add multiple copies of this field.
-height_carper_fiber	cm	0	centimeter	centimeter	global		The average carpet fiber height in the indoor environment
-herbicide_regm	g	0	gram, mole per liter, milligram per liter	gram	global		Information about treatment involving use of herbicides; information about treatment involving use of growth hormones; should include the name of herbicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-herbicide_regm	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Information about treatment involving use of herbicides; information about treatment involving use of growth hormones; should include the name of herbicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-herbicide_regm	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Information about treatment involving use of herbicides; information about treatment involving use of growth hormones; should include the name of herbicide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-host_age	a	0	year, day, hour	year	global		Age of host at the time of sampling; relevant scale depends on species and study, e.g. Could be seconds for amoebae or centuries for trees
-host_age	d	0	year, day, hour	day	global		Age of host at the time of sampling; relevant scale depends on species and study, e.g. Could be seconds for amoebae or centuries for trees
-host_age	h	0	year, day, hour	hour	global		Age of host at the time of sampling; relevant scale depends on species and study, e.g. Could be seconds for amoebae or centuries for trees
-host_body_temp	Cel	0	degree Celsius	degree Celsius	global		Core body temperature of the host when sample was collected
-host_dry_mass	kg	0	kilogram, gram	kilogram	global		Measurement of dry mass
-host_dry_mass	g	0	kilogram, gram	gram	global		Measurement of dry mass
-host_height	cm	0	centimeter, millimeter, meter	centimeter	global		The height of subject
-host_height	mm	0	centimeter, millimeter, meter	millimeter	global		The height of subject
-host_height	m	0	centimeter, millimeter, meter	meter	global		The height of subject
-host_length	cm	0	centimeter, millimeter, meter	centimeter	global		The length of subject
-host_length	mm	0	centimeter, millimeter, meter	millimeter	global		The length of subject
-host_length	m	0	centimeter, millimeter, meter	meter	global		The length of subject
-host_tot_mass	kg	0	kilogram, gram	kilogram	global		Total mass of the host at collection, the unit depends on host
-host_tot_mass	g	0	kilogram, gram	gram	global		Total mass of the host at collection, the unit depends on host
-host_wet_mass	kg	0	kilogram, gram	kilogram	global		Measurement of wet mass
-host_wet_mass	g	0	kilogram, gram	gram	global		Measurement of wet mass
-humidity	g/m3	0	gram per cubic meter	gram per cubic meter	global		Amount of water vapour in the air, at the time of sampling
-humidity_regm	g/m3	0	gram per cubic meter	gram per cubic meter	global		Information about treatment involving an exposure to varying degree of humidity; information about treatment involving use of growth hormones; should include amount of humidity administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-indust_eff_percent	%	0	percentage	percentage	global		Percentage of industrial effluents received by wastewater treatment plant
-inorg_particles	mol/L	0	mole per liter, milligram per liter	mole per liter	global		Concentration of particles such as sand, grit, metal particles, ceramics, etc.; can include multiple particles
-inorg_particles	milligram per liter	1	mole per liter, milligram per liter	milligram per liter	global		Concentration of particles such as sand, grit, metal particles, ceramics, etc.; can include multiple particles
-inside_lux	kilowatt per square metre	1	kilowatt per square metre	kilowatt per square metre	global		The recorded value at sampling time (power density)
-iwf	%	0	percent	percent	global		Proportion of the produced fluids derived from injected water at the time of sampling. (e.g. 87%)
-lbc_thirty	ppm CaCO3/pH	1	ppm CaCO3/pH	ppm CaCO3/pH	global		lime buffer capacity, determined after 30 minute incubation
-lbceq	ppm CaCO3/pH	1	ppm CaCO3/pH	ppm CaCO3/pH	global		lime buffer capacity, determined at equilibrium after 5 day incubation
-light_intensity	lux	1	lux	lux	global		Measurement of light intensity
-light_regm	lux; micrometer	1	lux; micrometer, nanometer, angstrom	lux; micrometer	global		Information about treatment(s) involving exposure to light, including both light intensity and quality.
-light_regm	nanometer	1	lux; micrometer, nanometer, angstrom	nanometer	global		Information about treatment(s) involving exposure to light, including both light intensity and quality.
-light_regm	angstrom	1	lux; micrometer, nanometer, angstrom	angstrom	global		Information about treatment(s) involving exposure to light, including both light intensity and quality.
-magnesium	mol/L	0	mole per liter, milligram per liter, parts per million, micromole per kilogram	mole per liter	global		Concentration of magnesium in the sample
-magnesium	milligram per liter	1	mole per liter, milligram per liter, parts per million, micromole per kilogram	milligram per liter	global		Concentration of magnesium in the sample
-magnesium	parts per million	1	mole per liter, milligram per liter, parts per million, micromole per kilogram	parts per million	global		Concentration of magnesium in the sample
-magnesium	micromole per kilogram	1	mole per liter, milligram per liter, parts per million, micromole per kilogram	micromole per kilogram	global		Concentration of magnesium in the sample
-manganese	mg/kg (ppm)	1	mg/kg (ppm)	mg/kg (ppm)	global		Concentration of manganese in the sample
-mean_frict_vel	m/s	0	meter per second	meter per second	global		Measurement of mean friction velocity
-mean_peak_frict_vel	m/s	0	meter per second	meter per second	global		Measurement of mean peak friction velocity
-methane	micromole per liter	1	micromole per liter, parts per billion, parts per million	micromole per liter	global		Methane (gas) amount or concentration at the time of sampling
-methane	parts per billion	1	micromole per liter, parts per billion, parts per million	parts per billion	global		Methane (gas) amount or concentration at the time of sampling
-methane	parts per million	1	micromole per liter, parts per billion, parts per million	parts per million	global		Methane (gas) amount or concentration at the time of sampling
-microbial_biomass	ton	1	ton, kilogram, gram per kilogram soil	ton	global		The part of the organic matter in the soil that constitutes living microorganisms smaller than 5-10 micrometer. If you keep this, you would need to have correction factors used for conversion to the final units
-microbial_biomass	kg	0	ton, kilogram, gram per kilogram soil	kilogram	global		The part of the organic matter in the soil that constitutes living microorganisms smaller than 5-10 micrometer. If you keep this, you would need to have correction factors used for conversion to the final units
-microbial_biomass	gram per kilogram soil	1	ton, kilogram, gram per kilogram soil	gram per kilogram soil	global		The part of the organic matter in the soil that constitutes living microorganisms smaller than 5-10 micrometer. If you keep this, you would need to have correction factors used for conversion to the final units
-mineral_nutr_regm	g	0	gram, mole per liter, milligram per liter	gram	global		Information about treatment involving the use of mineral supplements; should include the name of mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple mineral nutrient regimens
-mineral_nutr_regm	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Information about treatment involving the use of mineral supplements; should include the name of mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple mineral nutrient regimens
-mineral_nutr_regm	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Information about treatment involving the use of mineral supplements; should include the name of mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple mineral nutrient regimens
-n_alkanes	micromole per liter	1	micromole per liter	micromole per liter	global		Concentration of n-alkanes; can include multiple n-alkanes
-nitrate	micromole per liter	1	micromole per liter, milligram per liter, parts per million	micromole per liter	global		Concentration of nitrate in the sample
-nitrate	milligram per liter	1	micromole per liter, milligram per liter, parts per million	milligram per liter	global		Concentration of nitrate in the sample
-nitrate	parts per million	1	micromole per liter, milligram per liter, parts per million	parts per million	global		Concentration of nitrate in the sample
-nitrate_nitrogen	mg/kg	1	mg/kg	mg/kg	global		Concentration of nitrate nitrogen in the sample
-nitrite	micromole per liter	1	micromole per liter, milligram per liter, parts per million	micromole per liter	global		Concentration of nitrite in the sample
-nitrite	milligram per liter	1	micromole per liter, milligram per liter, parts per million	milligram per liter	global		Concentration of nitrite in the sample
-nitrite	parts per million	1	micromole per liter, milligram per liter, parts per million	parts per million	global		Concentration of nitrite in the sample
-nitrite_nitrogen	mg/kg	1	mg/kg	mg/kg	global		Concentration of nitrite nitrogen in the sample
-nitro	micromole per liter	1	micromole per liter	micromole per liter	global		Concentration of nitrogen (total)
-non_min_nutr_regm	g	0	gram, mole per liter, milligram per liter	gram	global		Information about treatment involving the exposure of plant to non-mineral nutrient such as oxygen, hydrogen or carbon; should include the name of non-mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple non-mineral nutrient regimens
-non_min_nutr_regm	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Information about treatment involving the exposure of plant to non-mineral nutrient such as oxygen, hydrogen or carbon; should include the name of non-mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple non-mineral nutrient regimens
-non_min_nutr_regm	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Information about treatment involving the exposure of plant to non-mineral nutrient such as oxygen, hydrogen or carbon; should include the name of non-mineral nutrient, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple non-mineral nutrient regimens
-org_carb	micromole per liter	1	micromole per liter	micromole per liter	global		Concentration of organic carbon
-org_count_qpcr_info	number of cells per gram (or ml or cm^2)	1	number of cells per gram (or ml or cm^2)	number of cells per gram (or ml or cm^2)	global		If qpcr was used for the cell count, the target gene name, the primer sequence and the cycling conditions should also be provided. (Example: 16S rrna; FWD:ACGTAGCTATGACGT REV:GTGCTAGTCGAGTAC; initial denaturation:90C_5min; denaturation:90C_2min; annealing:52C_30 sec; elongation:72C_30 sec; 90 C for 1 min; final elongation:72C_5min; 30 cycles)
-org_matter	microgram per liter	1	microgram per liter	microgram per liter	global		Concentration of organic matter
-org_nitro	microgram per liter	1	microgram per liter	microgram per liter	global		Concentration of organic nitrogen
-org_particles	g/L	0	gram per liter	gram per liter	global		Concentration of particles such as faeces, hairs, food, vomit, paper fibers, plant material, humus, etc.
-organism_count	number of cells per cubic meter	1	number of cells per cubic meter, number of cells per milliliter, number of cells per cubic centimeter	number of cells per cubic meter	global		Total cell count of any organism (or group of organisms) per gram, volume or area of sample, should include name of organism followed by count. The method that was used for the enumeration (e.g. qPCR, atp, mpn, etc.) Should also be provided. (example: total prokaryotes; 3.5e7 cells per ml; qpcr)
-organism_count	number of cells per milliliter	1	number of cells per cubic meter, number of cells per milliliter, number of cells per cubic centimeter	number of cells per milliliter	global		Total cell count of any organism (or group of organisms) per gram, volume or area of sample, should include name of organism followed by count. The method that was used for the enumeration (e.g. qPCR, atp, mpn, etc.) Should also be provided. (example: total prokaryotes; 3.5e7 cells per ml; qpcr)
-organism_count	number of cells per cubic centimeter	1	number of cells per cubic meter, number of cells per milliliter, number of cells per cubic centimeter	number of cells per cubic centimeter	global		Total cell count of any organism (or group of organisms) per gram, volume or area of sample, should include name of organism followed by count. The method that was used for the enumeration (e.g. qPCR, atp, mpn, etc.) Should also be provided. (example: total prokaryotes; 3.5e7 cells per ml; qpcr)
-owc_tvdss	m	0	meter	meter	global		Depth of the original oil water contact (OWC) zone (average) (m TVDSS)
-oxygen	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Oxygen (gas) amount or concentration at the time of sampling
-oxygen	parts per million	1	milligram per liter, parts per million	parts per million	global		Oxygen (gas) amount or concentration at the time of sampling
-part_org_carb	microgram per liter	1	microgram per liter	microgram per liter	global		Concentration of particulate organic carbon
-part_org_nitro	microgram per liter	1	microgram per liter, micromole per liter	microgram per liter	global		Concentration of particulate organic nitrogen
-part_org_nitro	micromole per liter	1	microgram per liter, micromole per liter	micromole per liter	global		Concentration of particulate organic nitrogen
-particle_class	micrometer	1	micrometer	micrometer	global		Particles are classified, based on their size, into six general categories:clay, silt, sand, gravel, cobbles, and boulders; should include amount of particle preceded by the name of the particle type; can include multiple values
-permeability	mD	1	mD	mD	global		Measure of the ability of a hydrocarbon resource to allow fluids to pass through it. (Additional information: https://en.wikipedia.org/wiki/Permeability_(earth_sciences))
-pesticide_regm	g	0	gram, mole per liter, milligram per liter	gram	global		Information about treatment involving use of insecticides; should include the name of pesticide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple pesticide regimens
-pesticide_regm	mol/L	0	gram, mole per liter, milligram per liter	mole per liter	global		Information about treatment involving use of insecticides; should include the name of pesticide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple pesticide regimens
-pesticide_regm	milligram per liter	1	gram, mole per liter, milligram per liter	milligram per liter	global		Information about treatment involving use of insecticides; should include the name of pesticide, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple pesticide regimens
-petroleum_hydrocarb	micromole per liter	1	micromole per liter	micromole per liter	global		Concentration of petroleum hydrocarbon
-phaeopigments	milligram per cubic meter	1	milligram per cubic meter	milligram per cubic meter	global		Concentration of phaeopigments; can include multiple phaeopigments
-phosphate	micromole per liter	1	micromole per liter	micromole per liter	global		Concentration of phosphate
-phosplipid_fatt_acid	mole per gram	1	mole per gram, mole per liter	mole per gram	global		Concentration of phospholipid fatty acids; can include multiple values
-phosplipid_fatt_acid	mol/L	0	mole per gram, mole per liter	mole per liter	global		Concentration of phospholipid fatty acids; can include multiple values
-photon_flux	number of photons per second per unit area	1	number of photons per second per unit area	number of photons per second per unit area	global		Measurement of photon flux
-pollutants	g	0	gram, mole per liter, milligram per liter, microgram per cubic meter	gram	global		Pollutant types and, amount or concentrations measured at the time of sampling; can report multiple pollutants by entering numeric values preceded by name of pollutant
-pollutants	mol/L	0	gram, mole per liter, milligram per liter, microgram per cubic meter	mole per liter	global		Pollutant types and, amount or concentrations measured at the time of sampling; can report multiple pollutants by entering numeric values preceded by name of pollutant
-pollutants	milligram per liter	1	gram, mole per liter, milligram per liter, microgram per cubic meter	milligram per liter	global		Pollutant types and, amount or concentrations measured at the time of sampling; can report multiple pollutants by entering numeric values preceded by name of pollutant
-pollutants	microgram per cubic meter	1	gram, mole per liter, milligram per liter, microgram per cubic meter	microgram per cubic meter	global		Pollutant types and, amount or concentrations measured at the time of sampling; can report multiple pollutants by entering numeric values preceded by name of pollutant
-porosity	%	0	percentage	percentage	global		Porosity of deposited sediment is volume of voids divided by the total volume of sample
-potassium	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of potassium in the sample
-potassium	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of potassium in the sample
-pour_point	Cel	0	degree Celsius	degree Celsius	global		Temperature at which a liquid becomes semi solid and loses its flow characteristics. In crude oil a high pour point is generally associated with a high paraffin content, typically found in crude deriving from a larger proportion of plant material. (soure: https://en.wikipedia.org/wiki/pour_point)
-pressure	atm	0	atmosphere	atmosphere	global		Pressure to which the sample is subject to, in atmospheres
-primary_prod	milligram per cubic meter per day	1	milligram per cubic meter per day, gram per square meter per day	milligram per cubic meter per day	global		Measurement of primary production, generally measured as isotope uptake
-primary_prod	gram per square meter per day	1	milligram per cubic meter per day, gram per square meter per day	gram per square meter per day	global		Measurement of primary production, generally measured as isotope uptake
-prod_rate	m3/d	0	cubic meter per day	cubic meter per day	global		Oil and/or gas production rates per well (e.g. 524 m3 / day)
-radiation_regm	rad	0	rad, gray	rad	global		Information about treatment involving exposure of plant or a plant part to a particular radiation regimen; should include the radiation type, amount or intensity administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple radiation regimens
-radiation_regm	Gy	0	rad, gray	gray	global		Information about treatment involving exposure of plant or a plant part to a particular radiation regimen; should include the radiation type, amount or intensity administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple radiation regimens
-rainfall_regm	mm	0	millimeter	millimeter	global		Information about treatment involving an exposure to a given amount of rainfall, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-redox_potential	mV	0	millivolt	millivolt	global		Redox potential, measured relative to a hydrogen cell, indicating oxidation or reduction potential
-rel_air_humidity	%	0	percentage	percentage	global		Partial vapor and air pressure, density of the vapor and air, or by the actual mass of the vapor and air
-rel_humidity_out	gram of air	1	gram of air, kilogram of air	gram of air	global		The recorded outside relative humidity value at the time of sampling
-rel_humidity_out	kilogram of air	1	gram of air, kilogram of air	kilogram of air	global		The recorded outside relative humidity value at the time of sampling
-resins_pc	%	0	percent	percent	global		Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)
-room_air_exch_rate	L/h	0	liter per hour	liter per hour	global		The rate at which outside air replaces indoor air in a given space
-room_dim	m	0	meter	meter	global		The length, width and height of sampling room
-room_door_dist	m	0	meter	meter	global		Distance between doors (meters) in the hallway between the sampling room and adjacent rooms
-room_net_area	square feet	1	square feet, square meter	square feet	global		The net floor area of sampling room. Net area excludes wall thicknesses
-room_net_area	m2	0	square feet, square meter	square meter	global		The net floor area of sampling room. Net area excludes wall thicknesses
-room_vol	cubic feet	1	cubic feet, cubic meter	cubic feet	global		Volume of sampling room
-room_vol	m3	0	cubic feet, cubic meter	cubic meter	global		Volume of sampling room
-root_med_carbon	milligram per liter	1	milligram per liter	milligram per liter	global		Source of organic carbon in the culture rooting medium; e.g. sucrose.
-root_med_macronutr	milligram per liter	1	milligram per liter	milligram per liter	global		Measurement of the culture rooting medium macronutrients (N,P, K, Ca, Mg, S); e.g. KH2PO4 (170 mg/L).
-root_med_micronutr	milligram per liter	1	milligram per liter	milligram per liter	global		Measurement of the culture rooting medium micronutrients (Fe, Mn, Zn, B, Cu, Mo); e.g. H3BO3 (6.2 mg/L).
-root_med_regl	milligram per liter	1	milligram per liter	milligram per liter	global		Growth regulators in the culture rooting medium such as cytokinins, auxins, gybberellins, abscisic acid; e.g. 0.5 mg/L NAA.
-root_med_suppl	milligram per liter	1	milligram per liter	milligram per liter	global		Organic supplements of the culture rooting medium, such as vitamins, amino acids, organic acids, antibiotics activated charcoal; e.g. nicotinic acid (0.5 mg/L).
-salinity	psu	0	practical salinity unit, percentage	practical salinity unit	global		The total concentration of all dissolved salts in a liquid or solid sample. While salinity can be measured by a complete chemical analysis, this method is difficult and time consuming. More often, it is instead derived from the conductivity measurement. This is known as practical salinity. These derivations compare the specific conductance of the sample to a salinity standard such as seawater.
-salinity	%	0	practical salinity unit, percentage	percentage	global		The total concentration of all dissolved salts in a liquid or solid sample. While salinity can be measured by a complete chemical analysis, this method is difficult and time consuming. More often, it is instead derived from the conductivity measurement. This is known as practical salinity. These derivations compare the specific conductance of the sample to a salinity standard such as seawater.
-salt_regm	g	0	gram, microgram, mole per liter, gram per liter	gram	global		Information about treatment involving use of salts as supplement to liquid and soil growth media; should include the name of salt, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple salt regimens
-salt_regm	ug	0	gram, microgram, mole per liter, gram per liter	microgram	global		Information about treatment involving use of salts as supplement to liquid and soil growth media; should include the name of salt, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple salt regimens
-salt_regm	mol/L	0	gram, microgram, mole per liter, gram per liter	mole per liter	global		Information about treatment involving use of salts as supplement to liquid and soil growth media; should include the name of salt, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple salt regimens
-salt_regm	g/L	0	gram, microgram, mole per liter, gram per liter	gram per liter	global		Information about treatment involving use of salts as supplement to liquid and soil growth media; should include the name of salt, amount administered, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple salt regimens
-samp_loc_corr_rate	millimeter per year	1	millimeter per year	millimeter per year	global		Metal corrosion rate is the speed of metal deterioration due to environmental conditions. As environmental conditions change corrosion rates change accordingly. Therefore, long term corrosion rates are generally more informative than short term rates and for that reason they are preferred during reporting. In the case of suspected MIC, corrosion rate measurements at the time of sampling might provide insights into the involvement of certain microbial community members in MIC as well as potential microbial interplays
-samp_md	m	0	meter	meter	global		"In non deviated well, measured depth is equal to the true vertical depth, TVD (TVD=TVDSS plus the reference or datum it refers to). In deviated wells, the MD is the length of trajectory of the borehole measured from the same reference or datum. Common datums used are ground level (GL), drilling rig floor (DF), rotary table (RT), kelly bushing (KB) and mean sea level (MSL). If ""other"" is specified, please propose entry in ""additional info"" field"
-samp_preserv	mL	0	milliliter	milliliter	global		Preservative added to the sample (e.g. Rnalater, alcohol, formaldehyde, etc.). Where appropriate include volume added (e.g. Rnalater; 2 ml)
-samp_size	millliter	1	millliter, gram, milligram, liter	millliter	global		The total amount or size (volume (ml), mass (g) or area (m2) ) of sample collected.
-samp_size	g	0	millliter, gram, milligram, liter	gram	global		The total amount or size (volume (ml), mass (g) or area (m2) ) of sample collected.
-samp_size	mg	0	millliter, gram, milligram, liter	milligram	global		The total amount or size (volume (ml), mass (g) or area (m2) ) of sample collected.
-samp_size	L	0	millliter, gram, milligram, liter	liter	global		The total amount or size (volume (ml), mass (g) or area (m2) ) of sample collected.
-samp_store_temp	Cel	0	degree Celsius	degree Celsius	global		Temperature at which sample was stored, e.g. -80 degree Celsius
-samp_time_out	h	0	hour	hour	global		The recent and long term history of outside sampling
-samp_transport_cond	days;degree Celsius	1	days;degree Celsius	days;degree Celsius	global		Sample transport duration (in days or hrs) and temperature the sample was exposed to (e.g. 5.5 days; 20 °C)
-samp_tvdss	m	0	meter	meter	global		Depth of the sample i.e. The vertical distance between the sea level and the sampled position in the subsurface. Depth can be reported as an interval for subsurface samples e.g. 1325.75-1362.25 m
-samp_vol_we_dna_ext	millliter	1	millliter, gram, milligram, square centimeter	millliter	global		Volume (ml) or mass (g) of total collected sample processed for DNA extraction. Note: total sample collected should be entered under the term Sample Size (MIXS:0000001).
-samp_vol_we_dna_ext	g	0	millliter, gram, milligram, square centimeter	gram	global		Volume (ml) or mass (g) of total collected sample processed for DNA extraction. Note: total sample collected should be entered under the term Sample Size (MIXS:0000001).
-samp_vol_we_dna_ext	mg	0	millliter, gram, milligram, square centimeter	milligram	global		Volume (ml) or mass (g) of total collected sample processed for DNA extraction. Note: total sample collected should be entered under the term Sample Size (MIXS:0000001).
-samp_vol_we_dna_ext	cm2	0	millliter, gram, milligram, square centimeter	square centimeter	global		Volume (ml) or mass (g) of total collected sample processed for DNA extraction. Note: total sample collected should be entered under the term Sample Size (MIXS:0000001).
-saturates_pc	%	0	percent	percent	global		Saturate, Aromatic, Resin and Asphaltene (SARA) is an analysis method that divides crude oil components according to their polarizability and polarity. There are three main methods to obtain SARA results. The most popular one is known as the Iatroscan TLC-FID and is referred to as IP-143 (source: https://en.wikipedia.org/wiki/Saturate,_aromatic,_resin_and_asphaltene)
-season_precpt	mm	0	millimeter	millimeter	global		The average of all seasonal precipitation values known, or an estimated equivalent value derived by such methods as regional indexes or Isohyetal maps.
-season_temp	Cel	0	degree Celsius	degree Celsius	global		Mean seasonal temperature
-silicate	micromole per liter	1	micromole per liter	micromole per liter	global		Concentration of silicate
-size_frac_low	micrometer	1	micrometer	micrometer	global		Refers to the mesh/pore size used to pre-filter/pre-sort the sample. Materials larger than the size threshold are excluded from the sample
-size_frac_up	micrometer	1	micrometer	micrometer	global		Refers to the mesh/pore size used to retain the sample. Materials smaller than the size threshold are excluded from the sample
-slope_aspect	degree	1	degree	degree	global		The direction a slope faces. While looking down a slope use a compass to record the direction you are facing (direction or degrees); e.g., nw or 315 degrees. This measure provides an indication of sun and wind exposure that will influence soil temperature and evapotranspiration.
-slope_gradient	%	0	percentage	percentage	global		Commonly called 'slope'. The angle between ground surface and a horizontal line (in percent). This is the direction that overland water would flow. This measure is usually taken with a hand level meter or clinometer
-sludge_retent_time	hours	1	hours	hours	global		The time activated sludge remains in reactor
-sodium	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Sodium concentration in the sample
-sodium	parts per million	1	milligram per liter, parts per million	parts per million	global		Sodium concentration in the sample
-solar_irradiance	kilowatts per square meter per day	1	kilowatts per square meter per day, ergs per square centimeter per second	kilowatts per square meter per day	global		The amount of solar energy that arrives at a specific area of a surface during a specific time interval
-solar_irradiance	ergs per square centimeter per second	1	kilowatts per square meter per day, ergs per square centimeter per second	ergs per square centimeter per second	global		The amount of solar energy that arrives at a specific area of a surface during a specific time interval
-soluble_inorg_mat	g	0	gram, microgram, mole per liter, gram per liter, parts per million	gram	global		Concentration of substances such as ammonia, road-salt, sea-salt, cyanide, hydrogen sulfide, thiocyanates, thiosulfates, etc.
-soluble_inorg_mat	ug	0	gram, microgram, mole per liter, gram per liter, parts per million	microgram	global		Concentration of substances such as ammonia, road-salt, sea-salt, cyanide, hydrogen sulfide, thiocyanates, thiosulfates, etc.
-soluble_inorg_mat	mol/L	0	gram, microgram, mole per liter, gram per liter, parts per million	mole per liter	global		Concentration of substances such as ammonia, road-salt, sea-salt, cyanide, hydrogen sulfide, thiocyanates, thiosulfates, etc.
-soluble_inorg_mat	g/L	0	gram, microgram, mole per liter, gram per liter, parts per million	gram per liter	global		Concentration of substances such as ammonia, road-salt, sea-salt, cyanide, hydrogen sulfide, thiocyanates, thiosulfates, etc.
-soluble_inorg_mat	parts per million	1	gram, microgram, mole per liter, gram per liter, parts per million	parts per million	global		Concentration of substances such as ammonia, road-salt, sea-salt, cyanide, hydrogen sulfide, thiocyanates, thiosulfates, etc.
-soluble_org_mat	g	0	gram, microgram, mole per liter, gram per liter, parts per million	gram	global		Concentration of substances such as urea, fruit sugars, soluble proteins, drugs, pharmaceuticals, etc.
-soluble_org_mat	ug	0	gram, microgram, mole per liter, gram per liter, parts per million	microgram	global		Concentration of substances such as urea, fruit sugars, soluble proteins, drugs, pharmaceuticals, etc.
-soluble_org_mat	mol/L	0	gram, microgram, mole per liter, gram per liter, parts per million	mole per liter	global		Concentration of substances such as urea, fruit sugars, soluble proteins, drugs, pharmaceuticals, etc.
-soluble_org_mat	g/L	0	gram, microgram, mole per liter, gram per liter, parts per million	gram per liter	global		Concentration of substances such as urea, fruit sugars, soluble proteins, drugs, pharmaceuticals, etc.
-soluble_org_mat	parts per million	1	gram, microgram, mole per liter, gram per liter, parts per million	parts per million	global		Concentration of substances such as urea, fruit sugars, soluble proteins, drugs, pharmaceuticals, etc.
-soluble_react_phosp	micromole per liter	1	micromole per liter, milligram per liter, parts per million	micromole per liter	global		Concentration of soluble reactive phosphorus
-soluble_react_phosp	milligram per liter	1	micromole per liter, milligram per liter, parts per million	milligram per liter	global		Concentration of soluble reactive phosphorus
-soluble_react_phosp	parts per million	1	micromole per liter, milligram per liter, parts per million	parts per million	global		Concentration of soluble reactive phosphorus
-specific_humidity	gram of air	1	gram of air, kilogram of air	gram of air	global		The mass of water vapour in a unit mass of moist air, usually expressed as grams of vapour per kilogram of air, or, in air conditioning, as grains per pound.
-specific_humidity	kilogram of air	1	gram of air, kilogram of air	kilogram of air	global		The mass of water vapour in a unit mass of moist air, usually expressed as grams of vapour per kilogram of air, or, in air conditioning, as grains per pound.
-sulfate	micromole per liter	1	micromole per liter, milligram per liter, parts per million	micromole per liter	global		Concentration of sulfate in the sample
-sulfate	milligram per liter	1	micromole per liter, milligram per liter, parts per million	milligram per liter	global		Concentration of sulfate in the sample
-sulfate	parts per million	1	micromole per liter, milligram per liter, parts per million	parts per million	global		Concentration of sulfate in the sample
-sulfate_fw	milligram per liter	1	milligram per liter	milligram per liter	global		Original sulfate concentration in the hydrocarbon resource
-sulfide	micromole per liter	1	micromole per liter, milligram per liter, parts per million	micromole per liter	global		Concentration of sulfide in the sample
-sulfide	milligram per liter	1	micromole per liter, milligram per liter, parts per million	milligram per liter	global		Concentration of sulfide in the sample
-sulfide	parts per million	1	micromole per liter, milligram per liter, parts per million	parts per million	global		Concentration of sulfide in the sample
-surf_humidity	%	0	percentage	percentage	global		Surfaces: water activity as a function of air and material moisture
-surf_moisture	parts per million	1	parts per million, gram per cubic meter, gram per square meter	parts per million	global		Water held on a surface
-surf_moisture	g/m3	0	parts per million, gram per cubic meter, gram per square meter	gram per cubic meter	global		Water held on a surface
-surf_moisture	gram per square meter	1	parts per million, gram per cubic meter, gram per square meter	gram per square meter	global		Water held on a surface
-surf_temp	Cel	0	degree Celsius	degree Celsius	global		Temperature of the surface at the time of sampling
-suspend_part_matter	milligram per liter	1	milligram per liter	milligram per liter	global		Concentration of suspended particulate matter
-suspend_solids	g	0	gram, microgram, milligram per liter, mole per liter, gram per liter, part per million	gram	global		Concentration of substances including a wide variety of material, such as silt, decaying plant and animal matter; can include multiple substances
-suspend_solids	ug	0	gram, microgram, milligram per liter, mole per liter, gram per liter, part per million	microgram	global		Concentration of substances including a wide variety of material, such as silt, decaying plant and animal matter; can include multiple substances
-suspend_solids	milligram per liter	1	gram, microgram, milligram per liter, mole per liter, gram per liter, part per million	milligram per liter	global		Concentration of substances including a wide variety of material, such as silt, decaying plant and animal matter; can include multiple substances
-suspend_solids	mol/L	0	gram, microgram, milligram per liter, mole per liter, gram per liter, part per million	mole per liter	global		Concentration of substances including a wide variety of material, such as silt, decaying plant and animal matter; can include multiple substances
-suspend_solids	g/L	0	gram, microgram, milligram per liter, mole per liter, gram per liter, part per million	gram per liter	global		Concentration of substances including a wide variety of material, such as silt, decaying plant and animal matter; can include multiple substances
-suspend_solids	part per million	1	gram, microgram, milligram per liter, mole per liter, gram per liter, part per million	part per million	global		Concentration of substances including a wide variety of material, such as silt, decaying plant and animal matter; can include multiple substances
-tan	milligram per liter	1	milligram per liter	milligram per liter	global		Total Acid Number (TAN) is a measurement of acidity that is determined by the amount of potassium hydroxide in milligrams that is needed to neutralize the acids in one gram of oil. It is an important quality measurement of crude oil. (source: https://en.wikipedia.org/wiki/Total_acid_number)
-temp	Cel	0	degree Celsius	degree Celsius	global		Temperature of the sample at the time of sampling.
-temp_out	Cel	0	degree Celsius	degree Celsius	global		The recorded temperature value at sampling time outside
-toluene	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of toluene in the sample
-toluene	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of toluene in the sample
-tot_carb	microgram per liter	1	microgram per liter	microgram per liter	global		Total carbon content
-tot_depth_water_col	m	0	meter	meter	global		Measurement of total depth of water column
-tot_diss_nitro	microgram per liter	1	microgram per liter	microgram per liter	global		Total dissolved nitrogen concentration, reported as nitrogen, measured by: total dissolved nitrogen = NH4 + NO3NO2 + dissolved organic nitrogen
-tot_inorg_nitro	microgram per liter	1	microgram per liter	microgram per liter	global		Total inorganic nitrogen content
-tot_iron	milligram per liter	1	milligram per liter, milligram per kilogram	milligram per liter	global		Concentration of total iron in the sample
-tot_iron	milligram per kilogram	1	milligram per liter, milligram per kilogram	milligram per kilogram	global		Concentration of total iron in the sample
-tot_nitro	microgram per liter	1	microgram per liter, micromole per liter, milligram per liter	microgram per liter	global		Total nitrogen concentration of water samples, calculated by: total nitrogen = total dissolved nitrogen + particulate nitrogen. Can also be measured without filtering, reported as nitrogen
-tot_nitro	micromole per liter	1	microgram per liter, micromole per liter, milligram per liter	micromole per liter	global		Total nitrogen concentration of water samples, calculated by: total nitrogen = total dissolved nitrogen + particulate nitrogen. Can also be measured without filtering, reported as nitrogen
-tot_nitro	milligram per liter	1	microgram per liter, micromole per liter, milligram per liter	milligram per liter	global		Total nitrogen concentration of water samples, calculated by: total nitrogen = total dissolved nitrogen + particulate nitrogen. Can also be measured without filtering, reported as nitrogen
-tot_nitro_content	microgram per liter	1	microgram per liter, micromole per liter, milligram per liter	microgram per liter	global		Total nitrogen content of the sample
-tot_nitro_content	micromole per liter	1	microgram per liter, micromole per liter, milligram per liter	micromole per liter	global		Total nitrogen content of the sample
-tot_nitro_content	milligram per liter	1	microgram per liter, micromole per liter, milligram per liter	milligram per liter	global		Total nitrogen content of the sample
-tot_org_carb	gram Carbon per kilogram sample material	1	gram Carbon per kilogram sample material	gram Carbon per kilogram sample material	global		Definition for soil: total organic carbon content of the soil, definition otherwise: total organic carbon content
-tot_part_carb	microgram per liter	1	microgram per liter, micromole per liter	microgram per liter	global		Total particulate carbon content
-tot_part_carb	micromole per liter	1	microgram per liter, micromole per liter	micromole per liter	global		Total particulate carbon content
-tot_phosp	micromole per liter	1	micromole per liter, milligram per liter, parts per million	micromole per liter	global		Total phosphorus concentration in the sample, calculated by: total phosphorus = total dissolved phosphorus + particulate phosphorus
-tot_phosp	milligram per liter	1	micromole per liter, milligram per liter, parts per million	milligram per liter	global		Total phosphorus concentration in the sample, calculated by: total phosphorus = total dissolved phosphorus + particulate phosphorus
-tot_phosp	parts per million	1	micromole per liter, milligram per liter, parts per million	parts per million	global		Total phosphorus concentration in the sample, calculated by: total phosphorus = total dissolved phosphorus + particulate phosphorus
-tot_phosphate	microgram per liter	1	microgram per liter, micromole per liter	microgram per liter	global		Total amount or concentration of phosphate
-tot_phosphate	micromole per liter	1	microgram per liter, micromole per liter	micromole per liter	global		Total amount or concentration of phosphate
-tot_sulfur	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of total sulfur in the sample
-tot_sulfur	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of total sulfur in the sample
-turbidity	formazin turbidity unit	1	formazin turbidity unit, formazin nephelometric units	formazin turbidity unit	global		Measure of the amount of cloudiness or haziness in water caused by individual particles
-turbidity	formazin nephelometric units	1	formazin turbidity unit, formazin nephelometric units	formazin nephelometric units	global		Measure of the amount of cloudiness or haziness in water caused by individual particles
-tvdss_of_hcr_press	m	0	meter	meter	global		True vertical depth subsea (TVDSS) of the hydrocarbon resource where the original pressure was measured (e.g. 1578 m).
-tvdss_of_hcr_temp	m	0	meter	meter	global		True vertical depth subsea (TVDSS) of the hydrocarbon resource where the original temperature was measured (e.g. 1345 m).
-ventilation_rate	cubic meter per minute	1	cubic meter per minute, liters per second	cubic meter per minute	global		Ventilation rate of the system in the sampled premises
-ventilation_rate	liters per second	1	cubic meter per minute, liters per second	liters per second	global		Ventilation rate of the system in the sampled premises
-vfa	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of Volatile Fatty Acids in the sample
-vfa	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of Volatile Fatty Acids in the sample
-vfa_fw	milligram per liter	1	milligram per liter	milligram per liter	global		Original volatile fatty acid concentration in the hydrocarbon resource
-viscosity	cP at degree Celsius	1	cP at degree Celsius	cP at degree Celsius	global		A measure of oil's resistance to gradual deformation by shear stress or tensile stress (e.g. 3.5 cp; 100 °C)
-volatile_org_comp	microgram per cubic meter	1	microgram per cubic meter, parts per million, nanogram per liter	microgram per cubic meter	global		Concentration of carbon-based chemicals that easily evaporate at room temperature; can report multiple volatile organic compounds by entering numeric values preceded by name of compound
-volatile_org_comp	parts per million	1	microgram per cubic meter, parts per million, nanogram per liter	parts per million	global		Concentration of carbon-based chemicals that easily evaporate at room temperature; can report multiple volatile organic compounds by entering numeric values preceded by name of compound
-volatile_org_comp	ng/L	0	microgram per cubic meter, parts per million, nanogram per liter	nanogram per liter	global		Concentration of carbon-based chemicals that easily evaporate at room temperature; can report multiple volatile organic compounds by entering numeric values preceded by name of compound
-wall_area	m2	0	square meter	square meter	global		The total area of the sampled room's walls
-wall_height	cm	0	centimeter	centimeter	global		The average height of the walls in the sampled room
-wall_thermal_mass	joule per degree Celsius	1	joule per degree Celsius	joule per degree Celsius	global		The ability of the wall to provide inertia against temperature fluctuations. Generally this means concrete or concrete block that is either exposed or covered only with paint
-water_content	gram per gram or cubic centimeter per cubic centimeter	1	gram per gram or cubic centimeter per cubic centimeter	gram per gram or cubic centimeter per cubic centimeter	class_usage	Biosample	
-water_content	gram per gram or cubic centimeter per cubic centimeter	1	gram per gram or cubic centimeter per cubic centimeter	gram per gram or cubic centimeter per cubic centimeter	global		Water content measurement
-water_current	m3/s	0	cubic meter per second, knots	cubic meter per second	global		Measurement of magnitude and direction of flow within a fluid
-water_current	knots	1	cubic meter per second, knots	knots	global		Measurement of magnitude and direction of flow within a fluid
-water_cut	%	0	percent	percent	global		Current amount of water (%) in a produced fluid stream; or the average of the combined streams
-water_feat_size	m2	0	square meter	square meter	global		The size of the water feature
-water_prod_rate	m3/d	0	cubic meter per day	cubic meter per day	global		Water production rates per well (e.g. 987 m3 / day)
-water_temp_regm	Cel	0	degree Celsius	degree Celsius	global		Information about treatment involving an exposure to water with varying degree of temperature, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-watering_regm	mL	0	milliliter, liter	milliliter	global		Information about treatment involving an exposure to watering frequencies, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-watering_regm	L	0	milliliter, liter	liter	global		Information about treatment involving an exposure to watering frequencies, treatment regimen including how many times the treatment was repeated, how long each treatment lasted, and the start and end time of the entire treatment; can include multiple regimens
-wind_speed	m/s	0	meter per second, kilometer per hour	meter per second	global		Speed of wind measured at the time of sampling
-wind_speed	km/h	0	meter per second, kilometer per hour	kilometer per hour	global		Speed of wind measured at the time of sampling
-window_size	inch	1	inch, meter	inch	global		The window's length and width
-window_size	m	0	inch, meter	meter	global		The window's length and width
-xylene	milligram per liter	1	milligram per liter, parts per million	milligram per liter	global		Concentration of xylene in the sample
-xylene	parts per million	1	milligram per liter, parts per million	parts per million	global		Concentration of xylene in the sample
-zinc	mg/kg (ppm)	1	mg/kg (ppm)	mg/kg (ppm)	global		Concentration of zinc in the sample
diff --git a/units/output/schema_ucum_input.tsv b/units/output/schema_ucum_input.tsv
deleted file mode 100644
index 311f5437ae..0000000000
--- a/units/output/schema_ucum_input.tsv
+++ /dev/null
@@ -1,370 +0,0 @@
-slot	ucum_notation	problem
-abs_air_humidity	gram per gram	1
-abs_air_humidity	kilogram per kilogram	1
-abs_air_humidity	kg	0
-abs_air_humidity	pound	1
-agrochem_addition	g	0
-agrochem_addition	mol/L	0
-agrochem_addition	milligram per liter	1
-air_PM_concen	micrograms per cubic meter	1
-air_temp	Cel	0
-air_temp_regm	m	0
-al_sat	%	0
-alkalinity	milliequivalent per liter	1
-alkalinity	milligram per liter	1
-alkyl_diethers	mol/L	0
-aminopept_act	mole per liter per hour	1
-ammonium	micromole per liter	1
-ammonium	milligram per liter	1
-ammonium	parts per million	1
-ammonium_nitrogen	mg/kg	1
-amount_light	lux	1
-amount_light	lumens per square meter	1
-annual_precpt	mm	0
-annual_temp	Cel	0
-antibiotic_regm	mg	0
-api	degrees API	1
-aromatics_pc	%	0
-asphaltenes_pc	%	0
-avg_dew_point	Cel	0
-avg_temp	Cel	0
-bac_prod	milligram per cubic meter per day	1
-bac_resp	milligram per cubic meter per day	1
-bac_resp	micromole oxygen per liter per hour	1
-bacteria_carb_prod	ng/h	0
-barometric_press	mbar	0
-benzene	milligram per liter	1
-benzene	parts per million	1
-biochem_oxygen_dem	milligram per liter	1
-biocide_admin_method	milligram per liter	1
-biomass	ton	1
-biomass	kg	0
-biomass	g	0
-bishomohopanol	microgram per liter	1
-bishomohopanol	microgram per gram	1
-blood_press_diast	millimeter mercury	1
-blood_press_syst	millimeter mercury	1
-bromide	parts per million	1
-built_struc_age	a	0
-calcium	milligram per liter	1
-calcium	micromole per liter	1
-calcium	parts per million	1
-carb_dioxide	micromole per liter	1
-carb_dioxide	parts per million	1
-carb_monoxide	micromole per liter	1
-carb_monoxide	parts per million	1
-ceil_area	m2	0
-ceil_thermal_mass	joule per degree Celsius	1
-chem_mutagen	milligram per liter	1
-chem_oxygen_dem	milligram per liter	1
-chem_treat_method	milligram per liter	1
-chloride	milligram per liter	1
-chloride	parts per million	1
-chlorophyll	milligram per cubic meter	1
-chlorophyll	microgram per liter	1
-conduc	milliSiemens per centimeter	1
-density	g/m3	0
-density	g/cm3	0
-dew_point	Cel	0
-diether_lipids	ng/L	0
-diss_carb_dioxide	micromole per liter	1
-diss_carb_dioxide	milligram per liter	1
-diss_hydrogen	micromole per liter	1
-diss_inorg_carb	microgram per liter	1
-diss_inorg_carb	milligram per liter	1
-diss_inorg_carb	parts per million	1
-diss_inorg_nitro	microgram per liter	1
-diss_inorg_nitro	micromole per liter	1
-diss_inorg_phosp	microgram per liter	1
-diss_inorg_phosp	milligram per liter	1
-diss_inorg_phosp	parts per million	1
-diss_iron	milligram per liter	1
-diss_org_carb	micromole per liter	1
-diss_org_carb	milligram per liter	1
-diss_org_nitro	microgram per liter	1
-diss_org_nitro	milligram per liter	1
-diss_oxygen	micromole per kilogram	1
-diss_oxygen	milligram per liter	1
-diss_oxygen_fluid	micromole per kilogram	1
-diss_oxygen_fluid	milligram per liter	1
-door_size	m2	0
-down_par	microEinstein per square meter per second	1
-down_par	microEinstein per square centimeter per second	1
-efficiency_percent	micromole per liter	1
-emulsions	g/L	0
-ethylbenzene	milligram per liter	1
-ethylbenzene	parts per million	1
-exp_duct	m2	0
-fertilizer_regm	g	0
-fertilizer_regm	mol/L	0
-fertilizer_regm	milligram per liter	1
-floor_age	years	1
-floor_age	weeks	1
-floor_age	days	1
-floor_area	m2	0
-floor_thermal_mass	joule per degree Celsius	1
-fluor	milligram chlorophyll a per cubic meter	1
-fluor	volts	1
-fungicide_regm	g	0
-fungicide_regm	mol/L	0
-fungicide_regm	milligram per liter	1
-gaseous_environment	micromole per liter	1
-gaseous_substances	micromole per liter	1
-glucosidase_act	mol per liter per hour	1
-gravity	meter per square second	1
-gravity	g	1
-growth_hormone_regm	g	0
-growth_hormone_regm	mol/L	0
-growth_hormone_regm	milligram per liter	1
-hcr_fw_salinity	milligram per liter	1
-hcr_pressure	atm	0
-hcr_pressure	kilopascal	1
-hcr_temp	Cel	0
-heavy_metals	microgram per gram	1
-height_carper_fiber	cm	0
-herbicide_regm	g	0
-herbicide_regm	mol/L	0
-herbicide_regm	milligram per liter	1
-host_age	a	0
-host_age	d	0
-host_age	h	0
-host_body_temp	Cel	0
-host_dry_mass	kg	0
-host_dry_mass	g	0
-host_height	cm	0
-host_height	mm	0
-host_height	m	0
-host_length	cm	0
-host_length	mm	0
-host_length	m	0
-host_tot_mass	kg	0
-host_tot_mass	g	0
-host_wet_mass	kg	0
-host_wet_mass	g	0
-humidity	g/m3	0
-humidity_regm	g/m3	0
-indust_eff_percent	%	0
-inorg_particles	mol/L	0
-inorg_particles	milligram per liter	1
-inside_lux	kilowatt per square metre	1
-iwf	%	0
-lbc_thirty	ppm CaCO3/pH	1
-lbceq	ppm CaCO3/pH	1
-light_intensity	lux	1
-light_regm	lux; micrometer	1
-light_regm	nanometer	1
-light_regm	angstrom	1
-magnesium	mol/L	0
-magnesium	milligram per liter	1
-magnesium	parts per million	1
-magnesium	micromole per kilogram	1
-manganese	mg/kg (ppm)	1
-mean_frict_vel	m/s	0
-mean_peak_frict_vel	m/s	0
-methane	micromole per liter	1
-methane	parts per billion	1
-methane	parts per million	1
-microbial_biomass	ton	1
-microbial_biomass	kg	0
-microbial_biomass	gram per kilogram soil	1
-mineral_nutr_regm	g	0
-mineral_nutr_regm	mol/L	0
-mineral_nutr_regm	milligram per liter	1
-n_alkanes	micromole per liter	1
-nitrate	micromole per liter	1
-nitrate	milligram per liter	1
-nitrate	parts per million	1
-nitrate_nitrogen	mg/kg	1
-nitrite	micromole per liter	1
-nitrite	milligram per liter	1
-nitrite	parts per million	1
-nitrite_nitrogen	mg/kg	1
-nitro	micromole per liter	1
-non_min_nutr_regm	g	0
-non_min_nutr_regm	mol/L	0
-non_min_nutr_regm	milligram per liter	1
-org_carb	micromole per liter	1
-org_count_qpcr_info	number of cells per gram (or ml or cm^2)	1
-org_matter	microgram per liter	1
-org_nitro	microgram per liter	1
-org_particles	g/L	0
-organism_count	number of cells per cubic meter	1
-organism_count	number of cells per milliliter	1
-organism_count	number of cells per cubic centimeter	1
-owc_tvdss	m	0
-oxygen	milligram per liter	1
-oxygen	parts per million	1
-part_org_carb	microgram per liter	1
-part_org_nitro	microgram per liter	1
-part_org_nitro	micromole per liter	1
-particle_class	micrometer	1
-permeability	mD	1
-pesticide_regm	g	0
-pesticide_regm	mol/L	0
-pesticide_regm	milligram per liter	1
-petroleum_hydrocarb	micromole per liter	1
-phaeopigments	milligram per cubic meter	1
-phosphate	micromole per liter	1
-phosplipid_fatt_acid	mole per gram	1
-phosplipid_fatt_acid	mol/L	0
-photon_flux	number of photons per second per unit area	1
-pollutants	g	0
-pollutants	mol/L	0
-pollutants	milligram per liter	1
-pollutants	microgram per cubic meter	1
-porosity	%	0
-potassium	milligram per liter	1
-potassium	parts per million	1
-pour_point	Cel	0
-pressure	atm	0
-primary_prod	milligram per cubic meter per day	1
-primary_prod	gram per square meter per day	1
-prod_rate	m3/d	0
-radiation_regm	rad	0
-radiation_regm	Gy	0
-rainfall_regm	mm	0
-redox_potential	mV	0
-rel_air_humidity	%	0
-rel_humidity_out	gram of air	1
-rel_humidity_out	kilogram of air	1
-resins_pc	%	0
-room_air_exch_rate	L/h	0
-room_dim	m	0
-room_door_dist	m	0
-room_net_area	square feet	1
-room_net_area	m2	0
-room_vol	cubic feet	1
-room_vol	m3	0
-root_med_carbon	milligram per liter	1
-root_med_macronutr	milligram per liter	1
-root_med_micronutr	milligram per liter	1
-root_med_regl	milligram per liter	1
-root_med_suppl	milligram per liter	1
-salinity	psu	0
-salinity	%	0
-salt_regm	g	0
-salt_regm	ug	0
-salt_regm	mol/L	0
-salt_regm	g/L	0
-samp_loc_corr_rate	millimeter per year	1
-samp_md	m	0
-samp_preserv	mL	0
-samp_size	millliter	1
-samp_size	g	0
-samp_size	mg	0
-samp_size	L	0
-samp_store_temp	Cel	0
-samp_time_out	h	0
-samp_transport_cond	days;degree Celsius	1
-samp_tvdss	m	0
-samp_vol_we_dna_ext	millliter	1
-samp_vol_we_dna_ext	g	0
-samp_vol_we_dna_ext	mg	0
-samp_vol_we_dna_ext	cm2	0
-saturates_pc	%	0
-season_precpt	mm	0
-season_temp	Cel	0
-silicate	micromole per liter	1
-size_frac_low	micrometer	1
-size_frac_up	micrometer	1
-slope_aspect	degree	1
-slope_gradient	%	0
-sludge_retent_time	hours	1
-sodium	milligram per liter	1
-sodium	parts per million	1
-solar_irradiance	kilowatts per square meter per day	1
-solar_irradiance	ergs per square centimeter per second	1
-soluble_inorg_mat	g	0
-soluble_inorg_mat	ug	0
-soluble_inorg_mat	mol/L	0
-soluble_inorg_mat	g/L	0
-soluble_inorg_mat	parts per million	1
-soluble_org_mat	g	0
-soluble_org_mat	ug	0
-soluble_org_mat	mol/L	0
-soluble_org_mat	g/L	0
-soluble_org_mat	parts per million	1
-soluble_react_phosp	micromole per liter	1
-soluble_react_phosp	milligram per liter	1
-soluble_react_phosp	parts per million	1
-specific_humidity	gram of air	1
-specific_humidity	kilogram of air	1
-sulfate	micromole per liter	1
-sulfate	milligram per liter	1
-sulfate	parts per million	1
-sulfate_fw	milligram per liter	1
-sulfide	micromole per liter	1
-sulfide	milligram per liter	1
-sulfide	parts per million	1
-surf_humidity	%	0
-surf_moisture	parts per million	1
-surf_moisture	g/m3	0
-surf_moisture	gram per square meter	1
-surf_temp	Cel	0
-suspend_part_matter	milligram per liter	1
-suspend_solids	g	0
-suspend_solids	ug	0
-suspend_solids	milligram per liter	1
-suspend_solids	mol/L	0
-suspend_solids	g/L	0
-suspend_solids	part per million	1
-tan	milligram per liter	1
-temp	Cel	0
-temp_out	Cel	0
-toluene	milligram per liter	1
-toluene	parts per million	1
-tot_carb	microgram per liter	1
-tot_depth_water_col	m	0
-tot_diss_nitro	microgram per liter	1
-tot_inorg_nitro	microgram per liter	1
-tot_iron	milligram per liter	1
-tot_iron	milligram per kilogram	1
-tot_nitro	microgram per liter	1
-tot_nitro	micromole per liter	1
-tot_nitro	milligram per liter	1
-tot_nitro_content	microgram per liter	1
-tot_nitro_content	micromole per liter	1
-tot_nitro_content	milligram per liter	1
-tot_org_carb	gram Carbon per kilogram sample material	1
-tot_part_carb	microgram per liter	1
-tot_part_carb	micromole per liter	1
-tot_phosp	micromole per liter	1
-tot_phosp	milligram per liter	1
-tot_phosp	parts per million	1
-tot_phosphate	microgram per liter	1
-tot_phosphate	micromole per liter	1
-tot_sulfur	milligram per liter	1
-tot_sulfur	parts per million	1
-turbidity	formazin turbidity unit	1
-turbidity	formazin nephelometric units	1
-tvdss_of_hcr_press	m	0
-tvdss_of_hcr_temp	m	0
-ventilation_rate	cubic meter per minute	1
-ventilation_rate	liters per second	1
-vfa	milligram per liter	1
-vfa	parts per million	1
-vfa_fw	milligram per liter	1
-viscosity	cP at degree Celsius	1
-volatile_org_comp	microgram per cubic meter	1
-volatile_org_comp	parts per million	1
-volatile_org_comp	ng/L	0
-wall_area	m2	0
-wall_height	cm	0
-wall_thermal_mass	joule per degree Celsius	1
-water_content	gram per gram or cubic centimeter per cubic centimeter	1
-water_content	gram per gram or cubic centimeter per cubic centimeter	1
-water_current	m3/s	0
-water_current	knots	1
-water_cut	%	0
-water_feat_size	m2	0
-water_prod_rate	m3/d	0
-water_temp_regm	Cel	0
-watering_regm	mL	0
-watering_regm	L	0
-wind_speed	m/s	0
-wind_speed	km/h	0
-window_size	inch	1
-window_size	m	0
-xylene	milligram per liter	1
-xylene	parts per million	1
-zinc	mg/kg (ppm)	1
diff --git a/units/output/schema_units_excuses.tsv b/units/output/schema_units_excuses.tsv
index 9a7a39f11f..1c86ff7460 100644
--- a/units/output/schema_units_excuses.tsv
+++ b/units/output/schema_units_excuses.tsv
@@ -1,15 +1,11 @@
 api	non_ucum_unit
-biomaterial_purity	pending_analysis
 bulk_elect_conductivity	pending_analysis
-concentration	pending_analysis
 container_size	pending_analysis
 efficiency_percent	mixs_inconsistent
-exp_pipe	pending_analysis
 filter_pore_size	pending_analysis
 input_volume	pending_analysis
 inside_lux	mixs_inconsistent
 microbial_biomass	complex_unit
-occup_density_samp	pending_analysis
 rel_humidity_out	mixs_inconsistent
 soil_text_measure	pending_analysis
 specific_humidity	mixs_inconsistent
diff --git a/units/output/testdata_has_unit_check.tsv b/units/output/testdata_has_unit_check.tsv
deleted file mode 100644
index 6dc50f423f..0000000000
--- a/units/output/testdata_has_unit_check.tsv
+++ /dev/null
@@ -1,2 +0,0 @@
-path	has_raw_value	status
-SUMMARY	0 missing has_unit fields	PASS
diff --git a/units/output/testdata_quantity_values.tsv b/units/output/testdata_quantity_values.tsv
deleted file mode 100644
index aa7ec792c7..0000000000
--- a/units/output/testdata_quantity_values.tsv
+++ /dev/null
@@ -1,176 +0,0 @@
-field_name	has_maximum_numeric_value	has_minimum_numeric_value	has_numeric_value	has_unit	has_raw_value	type
-abs_air_humidity			9.0	g/g	9 gram per gram	nmdc:QuantityValue
-air_temp			20.0	Cel	20 degree Celsius	nmdc:QuantityValue
-al_sat			19	%	19 %	nmdc:QuantityValue
-alkalinity			50.0	mg/L	50 milligram per liter	nmdc:QuantityValue
-alkyl_diethers			0.005	mol/L	0.005 mole per liter	nmdc:QuantityValue
-alt			100.0	m	100 meter	nmdc:QuantityValue
-aminopept_act			0.269	mol/L/h	0.269 mole per liter per hour	nmdc:QuantityValue
-ammonium			1.5	mg/L	1.5 milligram per liter	nmdc:QuantityValue
-ammonium_nitrogen			0.5	mg/kg	0.5 mg/kg	nmdc:QuantityValue
-amount_light				lx	xxx	nmdc:QuantityValue
-annual_precpt			0.5	mm	0.5 mm	nmdc:QuantityValue
-annual_temp			12.5	Cel	12.5 degree Celsius	nmdc:QuantityValue
-api				1	xxx	nmdc:QuantityValue
-avg_dew_point			25.5	Cel	25.5 degree Celsius	nmdc:QuantityValue
-avg_temp				Cel	xxx	nmdc:QuantityValue
-bac_prod			5.0	mg/m3/d	5 milligram per cubic meter per day	nmdc:QuantityValue
-bac_resp				mg/m3/d	xxx	nmdc:QuantityValue
-bacteria_carb_prod			2.53	ng/h	2.53 ng/h	nmdc:QuantityValue
-barometric_press			5.0	mbar	5 millibar	nmdc:QuantityValue
-benzene				mg/L	xxx	nmdc:QuantityValue
-biochem_oxygen_dem				mg/L	xxx	nmdc:QuantityValue
-bishomohopanol				ug/L	14 microgram per liter	nmdc:QuantityValue
-blood_press_diast				mm[Hg]	xxx	nmdc:QuantityValue
-blood_press_syst				mm[Hg]	xxx	nmdc:QuantityValue
-bromide			0.05	[ppm]	0.05 parts per million	nmdc:QuantityValue
-built_struc_age			7	a	7 years	nmdc:QuantityValue
-calcium			0.2	umol/L	0.2 micromole per liter	nmdc:QuantityValue
-carb_dioxide			410.0	[ppm]	410 parts per million	nmdc:QuantityValue
-carb_monoxide				umol/L	xxx	nmdc:QuantityValue
-carb_nitro_ratio			0.417361111	1	0.417361111	nmdc:QuantityValue
-ceil_area				m2	xxx	nmdc:QuantityValue
-ceil_thermal_mass				J/K	xxx	nmdc:QuantityValue
-chem_oxygen_dem				mg/L	xxx	nmdc:QuantityValue
-chloride			5000.0	mg/L	5000 milligram per liter	nmdc:QuantityValue
-chlorophyll			5.0	mg/m3	5 milligram per cubic meter	nmdc:QuantityValue
-conduc			10.0	mS/cm	10 milliSiemens per centimeter	nmdc:QuantityValue
-density			1000.0	g/m3	1000 kilogram per cubic meter	nmdc:QuantityValue
-depth	2.5	1.5	2	m	1.5 to 2.5 meters	nmdc:QuantityValue
-dew_point				Cel	xxx	nmdc:QuantityValue
-diss_carb_dioxide			5.0	mg/L	5 milligram per liter	nmdc:QuantityValue
-diss_hydrogen			0.3	umol/L	0.3 micromole per liter	nmdc:QuantityValue
-diss_inorg_carb			2059.0	ug/L	2059 micromole per kilogram	nmdc:QuantityValue
-diss_inorg_nitro				ug/L	xxx	nmdc:QuantityValue
-diss_inorg_phosp			56.5	ug/L	56.5 micromole per liter	nmdc:QuantityValue
-diss_iron				mg/L	xxx	nmdc:QuantityValue
-diss_org_carb			197.0	umol/L	197 micromole per liter	nmdc:QuantityValue
-diss_org_nitro			0.05	ug/L	0.05 micromole per liter	nmdc:QuantityValue
-diss_oxygen			175.0	umol/kg	175 micromole per kilogram	nmdc:QuantityValue
-diss_oxygen_fluid				umol/kg	xxx	nmdc:QuantityValue
-door_size				m2	xxx	nmdc:QuantityValue
-down_par				umol/m2/s	xxx	nmdc:QuantityValue
-efficiency_percent				%	xxx	nmdc:QuantityValue
-ethylbenzene				mg/L	xxx	nmdc:QuantityValue
-exp_duct				m2	xxx	nmdc:QuantityValue
-exp_pipe				m2	xxx	nmdc:QuantityValue
-floor_age			5	a	5 years	nmdc:QuantityValue
-floor_area				m2	xxx	nmdc:QuantityValue
-floor_thermal_mass				J/K	xxx	nmdc:QuantityValue
-fluor				mg/m3	xxx	nmdc:QuantityValue
-freq_clean				1/d	xxx	nmdc:QuantityValue
-freq_cook				1/d	xxx	nmdc:QuantityValue
-glucosidase_act			5.0	mol/L/h	5 mol per liter per hour	nmdc:QuantityValue
-hcr_fw_salinity				mg/L	xxx	nmdc:QuantityValue
-height_carper_fiber				cm	xxx	nmdc:QuantityValue
-host_age			3	a	3 years	nmdc:QuantityValue
-host_body_temp				Cel	xxx	nmdc:QuantityValue
-host_dry_mass				kg	xxx	nmdc:QuantityValue
-host_height				cm	xxx	nmdc:QuantityValue
-host_length				cm	xxx	nmdc:QuantityValue
-host_tot_mass				kg	xxx	nmdc:QuantityValue
-host_wet_mass				kg	xxx	nmdc:QuantityValue
-humidity			25.0	g/m3	25 gram per cubic meter	nmdc:QuantityValue
-indust_eff_percent				%	xxx	nmdc:QuantityValue
-inside_lux				kW/m2	xxx	nmdc:QuantityValue
-iwf				%	xxx	nmdc:QuantityValue
-lbc_thirty			543.0	[ppm]	543 ppm	nmdc:QuantityValue
-lbceq			1575.0	[ppm]	1575 ppm	nmdc:QuantityValue
-light_intensity			0.3	lx	0.3 lux	nmdc:QuantityValue
-magnesium			52.8	umol/kg	52.8 micromole per kilogram	nmdc:QuantityValue
-manganese			24.7	mg/kg	24.7 mg/kg	nmdc:QuantityValue
-max_occup			35	1	35	nmdc:QuantityValue
-mean_frict_vel			0.5	m/s	0.5 meter per second	nmdc:QuantityValue
-mean_peak_frict_vel			1.0	m/s	1 meter per second	nmdc:QuantityValue
-methane			1800.0	[ppb]	1800 parts per billion	nmdc:QuantityValue
-microbial_biomass				kg	xxx	nmdc:QuantityValue
-nitrate			65.0	umol/L	65 micromole per liter	nmdc:QuantityValue
-nitrite			0.5	umol/L	0.5 micromole per liter	nmdc:QuantityValue
-nitrite_nitrogen			1.2	mg/kg	1.2 mg/kg	nmdc:QuantityValue
-nitro				umol/L	xxx	nmdc:QuantityValue
-number_pets			3	1	3	nmdc:QuantityValue
-number_plants			4	1	4	nmdc:QuantityValue
-number_resident			3	1	3	nmdc:QuantityValue
-occup_density_samp				1	xxx	nmdc:QuantityValue
-occup_samp				1	xxx	nmdc:QuantityValue
-org_carb				umol/L	xxx	nmdc:QuantityValue
-org_matter			1.75	ug/L	1.75 milligram per cubic meter	nmdc:QuantityValue
-org_nitro			4.0	ug/L	4 micromole per liter	nmdc:QuantityValue
-organism_count[0]				1	total prokaryotes;3.5e7 cells per milliliter;qPCR	nmdc:QuantityValue
-owc_tvdss				m	xxx	nmdc:QuantityValue
-oxygen			600.0	[ppm]	600 parts per million	nmdc:QuantityValue
-part_org_carb			1.92	ug/L	1.92 micromole per liter	nmdc:QuantityValue
-part_org_nitro				ug/L	xxx	nmdc:QuantityValue
-petroleum_hydrocarb			0.05	umol/L	0.05 micromole per liter	nmdc:QuantityValue
-phosphate			0.7	umol/L	0.7 micromole per liter	nmdc:QuantityValue
-photon_flux			3.926	umol/m2/s	3.926 micromole photons per second per square meter	nmdc:QuantityValue
-potassium			463.0	mg/L	463 milligram per liter	nmdc:QuantityValue
-pour_point				Cel	xxx	nmdc:QuantityValue
-pressure			50.0	atm	50 atmosphere	nmdc:QuantityValue
-primary_prod				mg/m3/d	xxx	nmdc:QuantityValue
-prod_rate				m3/d	xxx	nmdc:QuantityValue
-redox_potential			300.0	mV	300 millivolt	nmdc:QuantityValue
-rel_air_humidity			80.0	%	80 %	nmdc:QuantityValue
-rel_humidity_out				%	xxx	nmdc:QuantityValue
-room_air_exch_rate				L/h	xxx	nmdc:QuantityValue
-room_occup				1	xxx	nmdc:QuantityValue
-root_med_ph				[pH]	xxx	nmdc:QuantityValue
-salinity			25	%	25 practical salinity unit	nmdc:QuantityValue
-samp_md				m	xxx	nmdc:QuantityValue
-samp_size			5	mL	5 mL	nmdc:QuantityValue
-samp_store_temp			-80.0	Cel	-80 degree Celsius	nmdc:QuantityValue
-season_precpt			75.0	mm	75 millimeters	nmdc:QuantityValue
-season_temp			18.0	Cel	18 degree Celsius	nmdc:QuantityValue
-silicate			0.05	umol/L	0.05 micromole per liter	nmdc:QuantityValue
-size_frac_low			0.2	um	0.2 micrometer	nmdc:QuantityValue
-size_frac_up			20.0	um	20 micrometer	nmdc:QuantityValue
-slope_aspect			22	deg	22 deg	nmdc:QuantityValue
-slope_gradient			17	%	17 %	nmdc:QuantityValue
-sludge_retent_time				h	xxx	nmdc:QuantityValue
-sodium			10.5	mg/L	10.5 milligram per liter	nmdc:QuantityValue
-soil_text_measure				1	xxx	nmdc:QuantityValue
-solar_irradiance			1.36	kW/m2/d	1.36 kilowatts per square meter per day	nmdc:QuantityValue
-soluble_react_phosp				umol/L	xxx	nmdc:QuantityValue
-specific_humidity				g/kg	xxx	nmdc:QuantityValue
-sulfate			5.0	umol/L	5 micromole per liter	nmdc:QuantityValue
-sulfate_fw				mg/L	xxx	nmdc:QuantityValue
-sulfide			2.0	umol/L	2 micromole per liter	nmdc:QuantityValue
-surf_humidity				%	xxx	nmdc:QuantityValue
-surf_moisture				g/m3	xxx	nmdc:QuantityValue
-surf_temp				Cel	xxx	nmdc:QuantityValue
-suspend_part_matter				mg/L	xxx	nmdc:QuantityValue
-tan				mg/L	xxx	nmdc:QuantityValue
-temp			25.0	Cel	25 degree Celsius	nmdc:QuantityValue
-temp_out			5.0	Cel	5 degree Celsius	nmdc:QuantityValue
-toluene				mg/L	xxx	nmdc:QuantityValue
-tot_carb			11	ug/L	11 ug/L	nmdc:QuantityValue
-tot_depth_water_col			500.0	m	500 meter	nmdc:QuantityValue
-tot_diss_nitro			40.0	ug/L	40 microgram per liter	nmdc:QuantityValue
-tot_inorg_nitro				ug/L	xxx	nmdc:QuantityValue
-tot_iron				mg/L	xxx	nmdc:QuantityValue
-tot_nitro				ug/L	xxx	nmdc:QuantityValue
-tot_nitro_content			35.0	mg/L	35 milligrams Nitrogen per kilogram of soil	nmdc:QuantityValue
-tot_org_carb			2	mg/L	2 mg/L	nmdc:QuantityValue
-tot_part_carb				ug/L	xxx	nmdc:QuantityValue
-tot_phosp			0.03	mg/L	0.03 milligram per liter	nmdc:QuantityValue
-tot_phosphate				ug/L	xxx	nmdc:QuantityValue
-tot_sulfur				mg/L	xxx	nmdc:QuantityValue
-turbidity			0.3	[NTU]	0.3 nephelometric turbidity units	nmdc:QuantityValue
-tvdss_of_hcr_press				m	xxx	nmdc:QuantityValue
-tvdss_of_hcr_temp				m	xxx	nmdc:QuantityValue
-ventilation_rate			750.0	m3/min	750 cubic meter per minute	nmdc:QuantityValue
-vfa				mg/L	xxx	nmdc:QuantityValue
-vfa_fw				mg/L	xxx	nmdc:QuantityValue
-wall_area				m2	xxx	nmdc:QuantityValue
-wall_height				cm	xxx	nmdc:QuantityValue
-wall_thermal_mass				J/K	xxx	nmdc:QuantityValue
-water_current				m3/s	xxx	nmdc:QuantityValue
-water_cut				%	xxx	nmdc:QuantityValue
-water_feat_size				m2	xxx	nmdc:QuantityValue
-water_prod_rate				m3/d	xxx	nmdc:QuantityValue
-wind_speed			21.0	km/h	21 kilometer per hour	nmdc:QuantityValue
-xylene				mg/L	xxx	nmdc:QuantityValue
-zinc			2.5	mg/kg	2.5 mg/kg	nmdc:QuantityValue
-subsurface_depth			10.0	m	10.0 m	nmdc:QuantityValue
-bulk_elect_conductivity			0.5	mS/cm	0.5 millisiemens per centimeter	nmdc:QuantityValue
-nitrate_nitrogen			1.2	mg/kg	1.2 mg/kg	nmdc:QuantityValue
diff --git a/units/output/ucum_validation_results.csv b/units/output/ucum_validation_results.csv
deleted file mode 100644
index 9ccf25de1b..0000000000
--- a/units/output/ucum_validation_results.csv
+++ /dev/null
@@ -1,48 +0,0 @@
-unit,status,message,cleaned_unit,ucum_format
-%,valid,https://units-of-measurement.org/%25,,
-Cel,valid,https://units-of-measurement.org/Cel,,
-J/K,valid,https://units-of-measurement.org/J.K-1,,J.K-1
-L/h,valid,https://units-of-measurement.org/L.h-1,,L.h-1
-[pH],valid,https://units-of-measurement.org/%5BpH%5D,,
-[ppb],valid,https://units-of-measurement.org/%5Bppb%5D,,
-[ppm],valid,https://units-of-measurement.org/%5Bppm%5D,,
-a,valid,https://units-of-measurement.org/a,,
-atm,valid,https://units-of-measurement.org/atm,,
-cm,valid,https://units-of-measurement.org/cm,,
-deg,valid,https://units-of-measurement.org/deg,,
-g/g,valid,https://units-of-measurement.org/g.g-1,,g.g-1
-g/kg,valid,https://units-of-measurement.org/g.kg-1,,g.kg-1
-g/m3,valid,https://units-of-measurement.org/g.m-3,,g.m-3
-h,valid,https://units-of-measurement.org/h,,
-kW/m2,valid,https://units-of-measurement.org/kW.m-2,,kW.m-2
-kW/m2/d,valid,https://units-of-measurement.org/kW.m-2.d-1,,kW.m-2.d-1
-kg,valid,https://units-of-measurement.org/kg,,
-km/h,valid,https://units-of-measurement.org/km.h-1,,km.h-1
-lx,valid,https://units-of-measurement.org/lx,,
-m,valid,https://units-of-measurement.org/m,,
-m/s,valid,https://units-of-measurement.org/m.s-1,,m.s-1
-m2,valid,https://units-of-measurement.org/m2,,
-m3/d,valid,https://units-of-measurement.org/m3.d-1,,m3.d-1
-m3/min,valid,https://units-of-measurement.org/m3.min-1,,m3.min-1
-m3/s,valid,https://units-of-measurement.org/m3.s-1,,m3.s-1
-mL,valid,https://units-of-measurement.org/mL,,
-mS/cm,valid,https://units-of-measurement.org/mS.cm-1,,mS.cm-1
-mV,valid,https://units-of-measurement.org/mV,,
-mg/L,valid,https://units-of-measurement.org/mg.L-1,,mg.L-1
-mg/kg,valid,https://units-of-measurement.org/mg.kg-1,,mg.kg-1
-mg/m3,valid,https://units-of-measurement.org/mg.m-3,,mg.m-3
-mg/m3/d,valid,https://units-of-measurement.org/mg.m-3.d-1,,mg.m-3.d-1
-mm,valid,https://units-of-measurement.org/mm,,
-mol/L,valid,https://units-of-measurement.org/mol.L-1,,mol.L-1
-mol/L/h,valid,https://units-of-measurement.org/mol.L-1.h-1,,mol.L-1.h-1
-ng/h,valid,https://units-of-measurement.org/ng.h-1,,ng.h-1
-ug/L,valid,https://units-of-measurement.org/ug.L-1,,ug.L-1
-um,valid,https://units-of-measurement.org/um,,
-umol/L,valid,https://units-of-measurement.org/umol.L-1,,umol.L-1
-umol/kg,valid,https://units-of-measurement.org/umol.kg-1,,umol.kg-1
-umol/m2/s,valid,https://units-of-measurement.org/umol.m-2.s-1,,umol.m-2.s-1
-1/d,invalid,Invalid UCUM code,,1.d-1
-[NTU],invalid,Invalid UCUM code,,
-mbar,invalid,Invalid UCUM code,,
-1,skipped,Skipped (dimensionless or custom unit),,
-mm[Hg],skipped,Skipped (dimensionless or custom unit),,
diff --git a/units/output/user_friendly_units.tsv b/units/output/user_friendly_units.tsv
index beb12e4a4d..23b36968e3 100644
--- a/units/output/user_friendly_units.tsv
+++ b/units/output/user_friendly_units.tsv
@@ -4,6 +4,7 @@ a	years
 umol/m2/s	micromoles per square meter per second
 1	ratio/unitless
 lx	lux
+1/[sft_i]	per square foot
 [NTU]	Nephelometric Turbidity Units
 [FNU]	Formazin Nephelometric Units
 [lb_av]	pounds (avoirdupois)
diff --git a/units/output/yq_commands_multi_unit.txt b/units/output/yq_commands_multi_unit.txt
deleted file mode 100644
index 89c73b9d62..0000000000
--- a/units/output/yq_commands_multi_unit.txt
+++ /dev/null
@@ -1,43 +0,0 @@
-# Add storage_units annotations for slots with multiple UCUM-compatible preferred units
-'.slots.abs_air_humidity.annotations.storage_units = {"tag": "storage_units", "value": "kg"}'
-'.slots.agrochem_addition.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.biomass.annotations.storage_units = {"tag": "storage_units", "value": "g|kg"}'
-'.slots.density.annotations.storage_units = {"tag": "storage_units", "value": "g/cm3|g/m3"}'
-'.slots.fertilizer_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.fungicide_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.growth_hormone_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.hcr_pressure.annotations.storage_units = {"tag": "storage_units", "value": "atm"}'
-'.slots.herbicide_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.host_age.annotations.storage_units = {"tag": "storage_units", "value": "a|d|h"}'
-'.slots.host_dry_mass.annotations.storage_units = {"tag": "storage_units", "value": "g|kg"}'
-'.slots.host_height.annotations.storage_units = {"tag": "storage_units", "value": "cm|m|mm"}'
-'.slots.host_length.annotations.storage_units = {"tag": "storage_units", "value": "cm|m|mm"}'
-'.slots.host_tot_mass.annotations.storage_units = {"tag": "storage_units", "value": "g|kg"}'
-'.slots.host_wet_mass.annotations.storage_units = {"tag": "storage_units", "value": "g|kg"}'
-'.slots.inorg_particles.annotations.storage_units = {"tag": "storage_units", "value": "mol/L"}'
-'.slots.magnesium.annotations.storage_units = {"tag": "storage_units", "value": "mol/L"}'
-'.slots.microbial_biomass.annotations.storage_units = {"tag": "storage_units", "value": "kg"}'
-'.slots.mineral_nutr_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.non_min_nutr_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.pesticide_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.phosplipid_fatt_acid.annotations.storage_units = {"tag": "storage_units", "value": "mol/L"}'
-'.slots.pollutants.annotations.storage_units = {"tag": "storage_units", "value": "g|mol/L"}'
-'.slots.radiation_regm.annotations.storage_units = {"tag": "storage_units", "value": "Gy|rad"}'
-'.slots.room_net_area.annotations.storage_units = {"tag": "storage_units", "value": "m2"}'
-'.slots.room_vol.annotations.storage_units = {"tag": "storage_units", "value": "m3"}'
-'.slots.salinity.annotations.storage_units = {"tag": "storage_units", "value": "%|psu"}'
-'.slots.salt_regm.annotations.storage_units = {"tag": "storage_units", "value": "g|g/L|mol/L|ug"}'
-'.slots.samp_size.annotations.storage_units = {"tag": "storage_units", "value": "L|g|mg"}'
-'.slots.samp_vol_we_dna_ext.annotations.storage_units = {"tag": "storage_units", "value": "cm2|g|mg"}'
-'.slots.soluble_inorg_mat.annotations.storage_units = {"tag": "storage_units", "value": "g|g/L|mol/L|ug"}'
-'.slots.soluble_org_mat.annotations.storage_units = {"tag": "storage_units", "value": "g|g/L|mol/L|ug"}'
-'.slots.surf_moisture.annotations.storage_units = {"tag": "storage_units", "value": "g/m3"}'
-'.slots.suspend_solids.annotations.storage_units = {"tag": "storage_units", "value": "g|g/L|mol/L|ug"}'
-'.slots.volatile_org_comp.annotations.storage_units = {"tag": "storage_units", "value": "ng/L"}'
-'.slots.water_current.annotations.storage_units = {"tag": "storage_units", "value": "m3/s"}'
-'.slots.watering_regm.annotations.storage_units = {"tag": "storage_units", "value": "L|mL"}'
-'.slots.wind_speed.annotations.storage_units = {"tag": "storage_units", "value": "km/h|m/s"}'
-'.slots.window_size.annotations.storage_units = {"tag": "storage_units", "value": "m"}'
-
-# Generated 39 yq commands for multi-unit storage_units annotations
-# Summary: 79 total rows across 39 slots with multiple units
\ No newline at end of file
diff --git a/units/output/yq_commands_single_unit.txt b/units/output/yq_commands_single_unit.txt
deleted file mode 100644
index 0d27625c46..0000000000
--- a/units/output/yq_commands_single_unit.txt
+++ /dev/null
@@ -1,133 +0,0 @@
-# Add storage_units annotations for slots with single UCUM-compatible preferred units
-'.slots.air_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.air_temp.annotations.storage_units.value |= "Cel"'
-'.slots.air_temp_regm.annotations.storage_units.tag |= "storage_units"'
-'.slots.air_temp_regm.annotations.storage_units.value |= "m"'
-'.slots.al_sat.annotations.storage_units.tag |= "storage_units"'
-'.slots.al_sat.annotations.storage_units.value |= "%"'
-'.slots.alkyl_diethers.annotations.storage_units.tag |= "storage_units"'
-'.slots.alkyl_diethers.annotations.storage_units.value |= "mol/L"'
-'.slots.annual_precpt.annotations.storage_units.tag |= "storage_units"'
-'.slots.annual_precpt.annotations.storage_units.value |= "mm"'
-'.slots.annual_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.annual_temp.annotations.storage_units.value |= "Cel"'
-'.slots.antibiotic_regm.annotations.storage_units.tag |= "storage_units"'
-'.slots.antibiotic_regm.annotations.storage_units.value |= "mg"'
-'.slots.aromatics_pc.annotations.storage_units.tag |= "storage_units"'
-'.slots.aromatics_pc.annotations.storage_units.value |= "%"'
-'.slots.asphaltenes_pc.annotations.storage_units.tag |= "storage_units"'
-'.slots.asphaltenes_pc.annotations.storage_units.value |= "%"'
-'.slots.avg_dew_point.annotations.storage_units.tag |= "storage_units"'
-'.slots.avg_dew_point.annotations.storage_units.value |= "Cel"'
-'.slots.avg_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.avg_temp.annotations.storage_units.value |= "Cel"'
-'.slots.bacteria_carb_prod.annotations.storage_units.tag |= "storage_units"'
-'.slots.bacteria_carb_prod.annotations.storage_units.value |= "ng/h"'
-'.slots.barometric_press.annotations.storage_units.tag |= "storage_units"'
-'.slots.barometric_press.annotations.storage_units.value |= "mbar"'
-'.slots.built_struc_age.annotations.storage_units.tag |= "storage_units"'
-'.slots.built_struc_age.annotations.storage_units.value |= "a"'
-'.slots.ceil_area.annotations.storage_units.tag |= "storage_units"'
-'.slots.ceil_area.annotations.storage_units.value |= "m2"'
-'.slots.dew_point.annotations.storage_units.tag |= "storage_units"'
-'.slots.dew_point.annotations.storage_units.value |= "Cel"'
-'.slots.diether_lipids.annotations.storage_units.tag |= "storage_units"'
-'.slots.diether_lipids.annotations.storage_units.value |= "ng/L"'
-'.slots.door_size.annotations.storage_units.tag |= "storage_units"'
-'.slots.door_size.annotations.storage_units.value |= "m2"'
-'.slots.emulsions.annotations.storage_units.tag |= "storage_units"'
-'.slots.emulsions.annotations.storage_units.value |= "g/L"'
-'.slots.exp_duct.annotations.storage_units.tag |= "storage_units"'
-'.slots.exp_duct.annotations.storage_units.value |= "m2"'
-'.slots.floor_area.annotations.storage_units.tag |= "storage_units"'
-'.slots.floor_area.annotations.storage_units.value |= "m2"'
-'.slots.hcr_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.hcr_temp.annotations.storage_units.value |= "Cel"'
-'.slots.height_carper_fiber.annotations.storage_units.tag |= "storage_units"'
-'.slots.height_carper_fiber.annotations.storage_units.value |= "cm"'
-'.slots.host_body_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.host_body_temp.annotations.storage_units.value |= "Cel"'
-'.slots.humidity.annotations.storage_units.tag |= "storage_units"'
-'.slots.humidity.annotations.storage_units.value |= "g/m3"'
-'.slots.humidity_regm.annotations.storage_units.tag |= "storage_units"'
-'.slots.humidity_regm.annotations.storage_units.value |= "g/m3"'
-'.slots.indust_eff_percent.annotations.storage_units.tag |= "storage_units"'
-'.slots.indust_eff_percent.annotations.storage_units.value |= "%"'
-'.slots.iwf.annotations.storage_units.tag |= "storage_units"'
-'.slots.iwf.annotations.storage_units.value |= "%"'
-'.slots.mean_frict_vel.annotations.storage_units.tag |= "storage_units"'
-'.slots.mean_frict_vel.annotations.storage_units.value |= "m/s"'
-'.slots.mean_peak_frict_vel.annotations.storage_units.tag |= "storage_units"'
-'.slots.mean_peak_frict_vel.annotations.storage_units.value |= "m/s"'
-'.slots.org_particles.annotations.storage_units.tag |= "storage_units"'
-'.slots.org_particles.annotations.storage_units.value |= "g/L"'
-'.slots.owc_tvdss.annotations.storage_units.tag |= "storage_units"'
-'.slots.owc_tvdss.annotations.storage_units.value |= "m"'
-'.slots.porosity.annotations.storage_units.tag |= "storage_units"'
-'.slots.porosity.annotations.storage_units.value |= "%"'
-'.slots.pour_point.annotations.storage_units.tag |= "storage_units"'
-'.slots.pour_point.annotations.storage_units.value |= "Cel"'
-'.slots.pressure.annotations.storage_units.tag |= "storage_units"'
-'.slots.pressure.annotations.storage_units.value |= "atm"'
-'.slots.prod_rate.annotations.storage_units.tag |= "storage_units"'
-'.slots.prod_rate.annotations.storage_units.value |= "m3/d"'
-'.slots.rainfall_regm.annotations.storage_units.tag |= "storage_units"'
-'.slots.rainfall_regm.annotations.storage_units.value |= "mm"'
-'.slots.redox_potential.annotations.storage_units.tag |= "storage_units"'
-'.slots.redox_potential.annotations.storage_units.value |= "mV"'
-'.slots.rel_air_humidity.annotations.storage_units.tag |= "storage_units"'
-'.slots.rel_air_humidity.annotations.storage_units.value |= "%"'
-'.slots.resins_pc.annotations.storage_units.tag |= "storage_units"'
-'.slots.resins_pc.annotations.storage_units.value |= "%"'
-'.slots.room_air_exch_rate.annotations.storage_units.tag |= "storage_units"'
-'.slots.room_air_exch_rate.annotations.storage_units.value |= "L/h"'
-'.slots.room_dim.annotations.storage_units.tag |= "storage_units"'
-'.slots.room_dim.annotations.storage_units.value |= "m"'
-'.slots.room_door_dist.annotations.storage_units.tag |= "storage_units"'
-'.slots.room_door_dist.annotations.storage_units.value |= "m"'
-'.slots.samp_md.annotations.storage_units.tag |= "storage_units"'
-'.slots.samp_md.annotations.storage_units.value |= "m"'
-'.slots.samp_preserv.annotations.storage_units.tag |= "storage_units"'
-'.slots.samp_preserv.annotations.storage_units.value |= "mL"'
-'.slots.samp_store_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.samp_store_temp.annotations.storage_units.value |= "Cel"'
-'.slots.samp_time_out.annotations.storage_units.tag |= "storage_units"'
-'.slots.samp_time_out.annotations.storage_units.value |= "h"'
-'.slots.samp_tvdss.annotations.storage_units.tag |= "storage_units"'
-'.slots.samp_tvdss.annotations.storage_units.value |= "m"'
-'.slots.saturates_pc.annotations.storage_units.tag |= "storage_units"'
-'.slots.saturates_pc.annotations.storage_units.value |= "%"'
-'.slots.season_precpt.annotations.storage_units.tag |= "storage_units"'
-'.slots.season_precpt.annotations.storage_units.value |= "mm"'
-'.slots.season_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.season_temp.annotations.storage_units.value |= "Cel"'
-'.slots.slope_gradient.annotations.storage_units.tag |= "storage_units"'
-'.slots.slope_gradient.annotations.storage_units.value |= "%"'
-'.slots.surf_humidity.annotations.storage_units.tag |= "storage_units"'
-'.slots.surf_humidity.annotations.storage_units.value |= "%"'
-'.slots.surf_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.surf_temp.annotations.storage_units.value |= "Cel"'
-'.slots.temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.temp.annotations.storage_units.value |= "Cel"'
-'.slots.temp_out.annotations.storage_units.tag |= "storage_units"'
-'.slots.temp_out.annotations.storage_units.value |= "Cel"'
-'.slots.tot_depth_water_col.annotations.storage_units.tag |= "storage_units"'
-'.slots.tot_depth_water_col.annotations.storage_units.value |= "m"'
-'.slots.tvdss_of_hcr_press.annotations.storage_units.tag |= "storage_units"'
-'.slots.tvdss_of_hcr_press.annotations.storage_units.value |= "m"'
-'.slots.tvdss_of_hcr_temp.annotations.storage_units.tag |= "storage_units"'
-'.slots.tvdss_of_hcr_temp.annotations.storage_units.value |= "m"'
-'.slots.wall_area.annotations.storage_units.tag |= "storage_units"'
-'.slots.wall_area.annotations.storage_units.value |= "m2"'
-'.slots.wall_height.annotations.storage_units.tag |= "storage_units"'
-'.slots.wall_height.annotations.storage_units.value |= "cm"'
-'.slots.water_cut.annotations.storage_units.tag |= "storage_units"'
-'.slots.water_cut.annotations.storage_units.value |= "%"'
-'.slots.water_feat_size.annotations.storage_units.tag |= "storage_units"'
-'.slots.water_feat_size.annotations.storage_units.value |= "m2"'
-'.slots.water_prod_rate.annotations.storage_units.tag |= "storage_units"'
-'.slots.water_prod_rate.annotations.storage_units.value |= "m3/d"'
-'.slots.water_temp_regm.annotations.storage_units.tag |= "storage_units"'
-'.slots.water_temp_regm.annotations.storage_units.value |= "Cel"'
-
-# Generated 130 yq commands for 65 single-unit slots
\ No newline at end of file
diff --git a/units/scripts/mongodb_analyze_units.py b/units/scripts/mongodb_analyze_units.py
deleted file mode 100644
index b067cf3667..0000000000
--- a/units/scripts/mongodb_analyze_units.py
+++ /dev/null
@@ -1,102 +0,0 @@
-#!/usr/bin/env python3
-"""
-MongoDB Unit Validation Analysis
-
-This script analyzes production MongoDB data to validate actual units against 
-schema-acceptable units. Part of the legacy MongoDB-based workflow.
-
-Input CSV format (from SPARQL query over RDF-converted MongoDB data):
-- sc: schema class (e.g., https://w3id.org/nmdc/Biosample)
-- p: property (e.g., https://w3id.org/mixs/0000110) 
-- l: label (e.g., samp_store_temp)
-- su: schema-acceptable units, pipe-separated (e.g., Cel|K)
-- u: actual unit found in production data (e.g., Cel)
-- count: number of occurrences in production data
-
-Processing logic:
-1. Splits pipe-separated acceptable units (su column)
-2. Checks if actual unit (u) exists in acceptable list
-3. Assigns validation status: valid/invalid/no_spec
-
-Output: Original CSV with added 'valid' column showing validation results.
-Provides summary statistics of unit validation across production data.
-
-Note: This is part of the legacy MongoDB workflow. The current schema-only 
-approach (analyze.py → extract.py → process.py) eliminates this dependency.
-"""
-
-import csv
-import sys
-import click
-
-@click.command()
-@click.option('--input', type=click.Path(exists=True, path_type=str), required=True,
-              help='MongoDB slots-to-units CSV from SPARQL query')
-@click.option('--output', type=click.Path(path_type=str),
-              help='Output file path (default: INPUT_analyzed.csv)')
-def main(input: str, output: str = None):
-    """Analyze MongoDB unit validation data."""
-    
-    csv_file = input
-    if output is None:
-        output = csv_file.replace('.csv', '_analyzed.csv')
-    
-    try:
-        with open(csv_file, 'r') as infile, open(output, 'w', newline='') as outfile:
-            reader = csv.DictReader(infile)
-            
-            # Add 'valid' column to fieldnames
-            fieldnames = reader.fieldnames + ['valid']
-            writer = csv.DictWriter(outfile, fieldnames=fieldnames)
-            writer.writeheader()
-            
-            for row in reader:
-                su = row['su'].strip()  # acceptable units
-                u = row['u'].strip()    # actual unit used
-                
-                if not su:  # No acceptable units specified
-                    row['valid'] = 'no_spec'
-                else:
-                    # Split pipe-separated acceptable units
-                    acceptable_units = [unit.strip() for unit in su.split('|')]
-                    if u in acceptable_units:
-                        row['valid'] = 'valid'
-                    else:
-                        row['valid'] = 'invalid'
-                
-                writer.writerow(row)
-        
-        click.echo(f"Analysis complete. Output written to: {output}")
-        
-        # Print summary
-        with open(output, 'r') as f:
-            reader = csv.DictReader(f)
-            valid_count = 0
-            invalid_count = 0
-            no_spec_count = 0
-            total = 0
-            
-            for row in reader:
-                total += 1
-                if row['valid'] == 'valid':
-                    valid_count += 1
-                elif row['valid'] == 'invalid':
-                    invalid_count += 1
-                else:
-                    no_spec_count += 1
-            
-            click.echo(f"\nSummary:")
-            click.echo(f"Total rows: {total}")
-            click.echo(f"Valid: {valid_count} ({valid_count/total*100:.1f}%)")
-            click.echo(f"Invalid: {invalid_count} ({invalid_count/total*100:.1f}%)")
-            click.echo(f"No specification: {no_spec_count} ({no_spec_count/total*100:.1f}%)")
-            
-    except FileNotFoundError:
-        click.echo(f"Error: File '{csv_file}' not found", err=True)
-        sys.exit(1)
-    except Exception as e:
-        click.echo(f"Error: {e}", err=True)
-        sys.exit(1)
-
-if __name__ == "__main__":
-    main()
\ No newline at end of file
diff --git a/units/scripts/schema_convert_to_ucum.py b/units/scripts/schema_convert_to_ucum.py
deleted file mode 100644
index db8d7ac57c..0000000000
--- a/units/scripts/schema_convert_to_ucum.py
+++ /dev/null
@@ -1,261 +0,0 @@
-#!/usr/bin/env python3
-"""
-Generate input for process.py from NMDC schema data only.
-
-This script demonstrates that the input for process.py can be generated
-completely deterministically from schema-centric data without needing MongoDB data.
-
-Prerequisites: Run this first to generate the preferred units report:
-    cd src/scripts && python analyze_preferred_units.py
-
-Data Sources (all schema-based):
-1. preferred_units_report.tsv (generated by analyze_preferred_units.py)
-2. UCUM validation rules (deterministic conversion logic)
-3. Problem detection (pattern-based analysis of unit strings)
-
-This replaces the original workflow that used MongoDB + MIxS + LLM processing.
-"""
-
-import pandas as pd
-import re
-import sys
-from pathlib import Path
-import click
-
-
-def convert_preferred_unit_to_ucum(preferred_unit: str) -> tuple[str, int]:
-    """
-    Convert NMDC preferred_unit to UCUM notation and detect problems.
-    
-    This is completely deterministic based on unit string patterns - no LLM needed.
-    """
-    
-    # Handle empty/missing units
-    if not preferred_unit or preferred_unit.strip() == '':
-        return '', 1
-    
-    preferred_unit = preferred_unit.strip()
-    
-    # Direct UCUM mappings for common single units
-    direct_mappings = {
-        'degree Celsius': 'Cel',
-        'meter': 'm',
-        'millimeter': 'mm', 
-        'centimeter': 'cm',
-        'kilometer': 'km',
-        'gram': 'g',
-        'kilogram': 'kg',
-        'milligram': 'mg',
-        'microgram': 'ug',
-        'liter': 'L',
-        'milliliter': 'mL',
-        'second': 's',
-        'minute': 'min',
-        'hour': 'h',
-        'day': 'd',
-        'year': 'a',
-        'percent': '%',
-        'percentage': '%',
-        'pH': 'pH',
-        'Pascal': 'Pa',
-        'atmosphere': 'atm',
-        'square meter': 'm2',
-        'cubic meter': 'm3',
-        'square centimeter': 'cm2',
-        'cubic centimeter': 'cm3',
-    }
-    
-    # Check for direct mapping first
-    if preferred_unit in direct_mappings:
-        return direct_mappings[preferred_unit], 0
-    
-    # Problem patterns that indicate UCUM issues
-    problem_patterns = [
-        r'.*,.*',  # Multiple units separated by commas
-        r'.*\|.*', # Multiple units separated by pipes  
-        r'.*\[.*\].*',  # Bracketed units like [NTU], [pH]
-        r'.*\bper\b.*\bper\b.*',  # Complex ratios like "per liter per hour"
-        r'.*\bdegree\b.*(?!Celsius)',  # Non-standard degree units
-        r'.*\bparts per\b.*',  # Parts per million/billion/etc
-        r'.*\bmilli.*\s+per\s+.*',  # Complex compound units
-        r'.*\bmicro.*\s+per\s+.*',  # Complex compound units
-        r'.*\s+per\s+.*\s+per\s+.*',  # Triple ratios
-        r'.*\bcft\b.*',  # Non-standard abbreviations
-        r'.*\blb\b.*',   # Imperial units
-        r'.*\binch\b.*', # Imperial units
-        r'.*\bfeet\b.*', # Imperial units
-        r'.*undefined.*',  # Undefined units
-        r'.*not applicable.*',  # Not applicable
-        r'.*\bAPI\b.*',  # Specialized scales
-        r'.*mercury.*',  # Mercury-based pressure units
-        r'.*formazin.*', # Turbidity units
-        r'.*nephelometric.*', # Turbidity units
-    ]
-    
-    # Check for problem patterns
-    for pattern in problem_patterns:
-        if re.match(pattern, preferred_unit, re.IGNORECASE):
-            return preferred_unit, 1  # Keep original, mark as problem
-    
-    # Simple compound units that can be converted
-    simple_compounds = {
-        'milligram per liter': 'mg/L',
-        'microgram per liter': 'ug/L', 
-        'micromole per liter': 'umol/L',
-        'gram per liter': 'g/L',
-        'milligram per kilogram': 'mg/kg',
-        'gram per kilogram': 'g/kg',
-        'meter per second': 'm/s',
-        'kilometer per hour': 'km/h',
-        'gram per cubic meter': 'g/m3',
-        'gram per cubic centimeter': 'g/cm3',
-        'milligram per cubic meter': 'mg/m3',
-        'Watt per square meter': 'W/m2',
-        'joule per degree Celsius': 'J/Cel',
-        'millimeter per year': 'mm/a',
-        'cubic meter per day': 'm3/d',
-        'cubic meter per second': 'm3/s',
-        'liter per hour': 'L/h',
-        'milliliter per hour': 'mL/h',
-        'milliequivalent per liter': 'meq/L',
-        'mole per liter': 'mol/L',
-        'mole per liter per hour': 'mol/(L.h)',
-        'millimole per liter': 'mmol/L',
-        'micromole per kilogram': 'umol/kg',
-        'nanogram per hour': 'ng/h',
-        'nanogram per liter': 'ng/L',
-        'millibar': 'mbar',
-        'millimeter mercury': 'mm[Hg]',  # Will be flagged as problem
-        'millivolt': 'mV',
-        'milliSiemens per centimeter': 'mS/cm',
-        'microEinstein per square meter per second': 'uE/(m2.s)',
-        'rad': 'rad',
-        'gray': 'Gy',
-        'practical salinity unit': 'psu',
-        'formazin turbidity unit': '[FTU]',  # Will be flagged as problem
-        'formazin nephelometric units': '[FNU]',  # Will be flagged as problem
-    }
-    
-    if preferred_unit in simple_compounds:
-        # Check if the mapped unit has problem patterns
-        mapped_unit = simple_compounds[preferred_unit]
-        if '[' in mapped_unit or 'Hg' in mapped_unit:
-            return mapped_unit, 1  # Mark as problem
-        return mapped_unit, 0
-    
-    # If we can't map it cleanly, mark as problem
-    return preferred_unit, 1
-
-
-def expand_multi_unit_slots(df: pd.DataFrame) -> pd.DataFrame:
-    """
-    Expand slots that have multiple preferred units into separate rows.
-    
-    This handles the multi-unit case from the original workflow.
-    """
-    expanded_rows = []
-    
-    for _, row in df.iterrows():
-        preferred_unit = row['preferred_unit']
-        slot_name = row['slot_name']
-        
-        # Check for multiple units (comma or pipe separated)
-        if ',' in preferred_unit or '|' in preferred_unit:
-            # Split on both comma and pipe, clean whitespace
-            units = re.split(r'[,|]', preferred_unit)
-            units = [unit.strip() for unit in units if unit.strip()]
-            
-            # Create a row for each unit
-            for unit in units:
-                ucum_notation, problem = convert_preferred_unit_to_ucum(unit)
-                expanded_rows.append({
-                    'slot': slot_name,
-                    'ucum_notation': ucum_notation,
-                    'problem': problem,
-                    'original_preferred_unit': preferred_unit,
-                    'individual_unit': unit,
-                    'context': row['context'],
-                    'class_name': row['class_name'],
-                    'description': row['description']
-                })
-        else:
-            # Single unit
-            ucum_notation, problem = convert_preferred_unit_to_ucum(preferred_unit)
-            expanded_rows.append({
-                'slot': slot_name,
-                'ucum_notation': ucum_notation,
-                'problem': problem,
-                'original_preferred_unit': preferred_unit,
-                'individual_unit': preferred_unit,
-                'context': row['context'],
-                'class_name': row['class_name'],
-                'description': row['description']
-            })
-    
-    return pd.DataFrame(expanded_rows)
-
-
-@click.command()
-@click.option('--input', type=click.Path(exists=True, path_type=Path), required=True,
-              help='preferred_units_report.tsv from analyze.py')
-@click.option('--output', type=click.Path(path_type=Path), required=True,
-              help='TSV file with slot, ucum_notation, problem columns')
-@click.option('--detailed', type=click.Path(path_type=Path), 
-              help='Output detailed metadata file')
-@click.option('--quiet', '-q', is_flag=True, help='Suppress progress output')
-def main(input: Path, output: Path, detailed: Path = None, quiet: bool = False):
-    """Generate process.py input from NMDC schema preferred_unit annotations."""
-    
-    input_file = input
-    output_file = output
-    
-    if not quiet:
-        click.echo("Generating process.py input from NMDC schema...")
-        click.echo("=" * 60)
-    
-    # Load the extracted data
-    if not quiet:
-        click.echo(f"Loading preferred units data from {input_file}...")
-    
-    schema_df = pd.read_csv(input_file, sep='\t')
-    if not quiet:
-        click.echo(f"Found {len(schema_df)} slots with preferred_unit annotations")
-    
-    # Expand multi-unit slots and convert to UCUM
-    if not quiet:
-        click.echo("Converting preferred units to UCUM notation...")
-    expanded_df = expand_multi_unit_slots(schema_df)
-    
-    # Create the minimal input file (only required columns)
-    required_cols = ['slot', 'ucum_notation', 'problem']
-    minimal_df = expanded_df[required_cols].copy()
-    
-    # Write output file
-    minimal_df.to_csv(output_file, sep='\t', index=False)
-    if not quiet:
-        click.echo(f"Generated: {output_file} ({len(minimal_df)} rows)")
-    
-    # Write detailed file if requested
-    if detailed:
-        expanded_df.to_csv(detailed, sep='\t', index=False)
-        if not quiet:
-            click.echo(f"Generated: {detailed} ({len(expanded_df)} rows with metadata)")
-    
-    if not quiet:
-        # Show summary
-        click.echo(f"\nSummary:")
-        click.echo(f"Total slot-unit combinations: {len(expanded_df)}")
-        click.echo(f"Unique slots: {expanded_df['slot'].nunique()}")
-        click.echo(f"Problem units (need fixing): {expanded_df['problem'].sum()}")
-        click.echo(f"Clean UCUM units: {(expanded_df['problem'] == 0).sum()}")
-        
-        # Count single vs multi-unit slots
-        slot_counts = expanded_df.groupby('slot').size()
-        single_unit_slots = (slot_counts == 1).sum()
-        multi_unit_slots = (slot_counts > 1).sum()
-        click.echo(f"Single-unit slots: {single_unit_slots}")
-        click.echo(f"Multi-unit slots: {multi_unit_slots}")
-
-
-if __name__ == "__main__":
-    main()
\ No newline at end of file
diff --git a/units/scripts/schema_expand_storage_units.py b/units/scripts/schema_expand_storage_units.py
deleted file mode 100644
index 889c885471..0000000000
--- a/units/scripts/schema_expand_storage_units.py
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/usr/bin/env python3
-"""
-Script to expand pipe-concatenated storage_units annotations into separate rows.
-"""
-
-import click
-import csv
-import yaml
-from pathlib import Path
-
-
-@click.command()
-@click.option('--schema-file', type=click.Path(exists=True, path_type=Path), 
-              default='../nmdc_schema/nmdc_materialized_patterns.yaml',
-              help='NMDC schema YAML file')
-@click.option('--output', 'output_file', default='output/schema_storage_units_expanded.tsv',
-              type=click.Path(path_type=Path),
-              help='Output TSV file with expanded storage_units')
-def main(schema_file, output_file):
-    """
-    Extract QuantityValue slots with storage_units and expand pipe-separated values.
-    """
-    output_file.parent.mkdir(parents=True, exist_ok=True)
-    
-    with open(schema_file, 'r') as f:
-        schema = yaml.safe_load(f)
-    
-    expanded_units = []
-    
-    # Extract slots with QuantityValue range and storage_units annotations
-    slots = schema.get('slots', {})
-    for slot_name, slot_def in slots.items():
-        if (slot_def.get('range') == 'QuantityValue' and 
-            'annotations' in slot_def and 
-            'storage_units' in slot_def['annotations']):
-            
-            storage_units = slot_def['annotations']['storage_units']
-            # Handle both string and dict annotation formats
-            if isinstance(storage_units, dict):
-                units_value = storage_units.get('value', '')
-            else:
-                units_value = str(storage_units)
-            
-            # Split pipe-separated units and create separate rows
-            for unit in units_value.split('|'):
-                unit = unit.strip()
-                if unit:  # Skip empty units
-                    expanded_units.append({
-                        'slot': slot_name,
-                        'storage_unit': unit
-                    })
-    
-    # Write to TSV
-    with open(output_file, 'w', newline='') as f:
-        writer = csv.DictWriter(f, fieldnames=['slot', 'storage_unit'], delimiter='\t')
-        writer.writeheader()
-        writer.writerows(expanded_units)
-    
-    click.echo(f"Expanded {len(expanded_units)} slot-unit combinations to {output_file}")
-
-
-if __name__ == '__main__':
-    main()
\ No newline at end of file
diff --git a/units/scripts/schema_extract_preferred_units.py b/units/scripts/schema_extract_preferred_units.py
deleted file mode 100644
index 52fe60a433..0000000000
--- a/units/scripts/schema_extract_preferred_units.py
+++ /dev/null
@@ -1,153 +0,0 @@
-#!/usr/bin/env python3
-"""
-Script to analyze NMDC schema for slots with preferred_unit annotations.
-
-This script examines nmdc_materialized_patterns.yaml to find:
-1. Global slot definitions with preferred_unit annotations
-2. Slot usage within classes that have preferred_unit annotations
-
-Generates a TSV report with slot name, context (global or class-specific), 
-class name (if applicable), and preferred unit value.
-"""
-
-import yaml
-import csv
-import sys
-from pathlib import Path
-from typing import Dict, Any, List, Optional
-import click
-
-def extract_examples_values(slot_data: Dict[str, Any]) -> str:
-    """Extract examples values from slot data."""
-    examples = slot_data.get('examples', [])
-    if not examples:
-        return ''
-    
-    example_values = []
-    for example in examples:
-        if isinstance(example, dict):
-            value = example.get('value', '')
-            if value:
-                example_values.append(str(value))
-        elif isinstance(example, str):
-            example_values.append(example)
-    
-    return '; '.join(example_values)
-
-def extract_preferred_units_from_slots(slots_data: Dict[str, Any]) -> List[Dict[str, str]]:
-    """Extract preferred_unit annotations from global slot definitions."""
-    results = []
-    
-    for slot_name, slot_data in slots_data.items():
-        if isinstance(slot_data, dict):
-            annotations = slot_data.get('annotations', {})
-            if 'preferred_unit' in annotations:
-                preferred_unit_info = annotations['preferred_unit']
-                unit_value = preferred_unit_info.get('value', '') if isinstance(preferred_unit_info, dict) else ''
-                
-                results.append({
-                    'slot_name': slot_name,
-                    'context': 'global',
-                    'class_name': '',
-                    'preferred_unit': unit_value,
-                    'description': slot_data.get('description', ''),
-                    'range': slot_data.get('range', ''),
-                    'examples': extract_examples_values(slot_data)
-                })
-    
-    return results
-
-def extract_preferred_units_from_classes(classes_data: Dict[str, Any]) -> List[Dict[str, str]]:
-    """Extract preferred_unit annotations from slot_usage within classes."""
-    results = []
-    
-    for class_name, class_data in classes_data.items():
-        if isinstance(class_data, dict):
-            slot_usage = class_data.get('slot_usage', {})
-            if slot_usage:
-                for slot_name, slot_usage_data in slot_usage.items():
-                    if isinstance(slot_usage_data, dict):
-                        annotations = slot_usage_data.get('annotations', {})
-                        if 'preferred_unit' in annotations:
-                            preferred_unit_info = annotations['preferred_unit']
-                            unit_value = preferred_unit_info.get('value', '') if isinstance(preferred_unit_info, dict) else ''
-                            
-                            results.append({
-                                'slot_name': slot_name,
-                                'context': 'class_usage',
-                                'class_name': class_name,
-                                'preferred_unit': unit_value,
-                                'description': slot_usage_data.get('description', ''),
-                                'range': slot_usage_data.get('range', ''),
-                                'examples': extract_examples_values(slot_usage_data)
-                            })
-    
-    return results
-
-@click.command()
-@click.option('--schema-file', type=click.Path(exists=True, path_type=Path), 
-              default=Path('../nmdc_schema/nmdc_materialized_patterns.yaml'),
-              help='Path to schema file')
-@click.option('--output', type=click.Path(path_type=Path), required=True,
-              help='TSV file to write the preferred units report')
-def main(schema_file: Path, output: Path):
-    """Analyze NMDC schema for slots with preferred_unit annotations."""
-    
-    output_file = output
-    
-    # Read YAML file
-    try:
-        with open(schema_file, 'r', encoding='utf-8') as f:
-            schema_data = yaml.safe_load(f)
-    except FileNotFoundError:
-        click.echo(f"Error: Schema file {schema_file} not found", err=True)
-        sys.exit(1)
-    except yaml.YAMLError as e:
-        click.echo(f"Error parsing YAML: {e}", err=True)
-        sys.exit(1)
-    
-    # Extract preferred unit annotations
-    # From global slots
-    slots_data = schema_data.get('slots', {})
-    global_units = extract_preferred_units_from_slots(slots_data)
-    
-    # From class slot_usage
-    classes_data = schema_data.get('classes', {})
-    class_usage_units = extract_preferred_units_from_classes(classes_data)
-    
-    # Combine results
-    all_results = global_units + class_usage_units
-    
-    if not all_results:
-        click.echo("No preferred_unit annotations found in the schema")
-        sys.exit(0)
-    
-    # Sort by slot name, then by context
-    all_results.sort(key=lambda x: (x['slot_name'], x['context'], x['class_name']))
-    
-    # Define column headers
-    headers = [
-        'slot_name',
-        'context',
-        'class_name', 
-        'preferred_unit',
-        'description',
-        'range',
-        'examples'
-    ]
-    
-    # Write to TSV file
-    try:
-        with open(output_file, 'w', newline='', encoding='utf-8') as f:
-            writer = csv.DictWriter(f, fieldnames=headers, delimiter='\t')
-            writer.writeheader()
-            writer.writerows(all_results)
-        
-        click.echo(f"Extracted {len(all_results)} preferred unit annotations to {output_file}")
-        
-    except IOError as e:
-        click.echo(f"Error writing to file: {e}", err=True)
-        sys.exit(1)
-
-if __name__ == '__main__':
-    main()
\ No newline at end of file
diff --git a/units/scripts/schema_generate_yq_commands.py b/units/scripts/schema_generate_yq_commands.py
deleted file mode 100644
index ddd8901807..0000000000
--- a/units/scripts/schema_generate_yq_commands.py
+++ /dev/null
@@ -1,174 +0,0 @@
-#!/usr/bin/env python3
-"""
-Consolidated MIxS Unit Processing Pipeline
-
-This script replaces the chain of individual scripts:
-- add_has_problem.py
-- add_slot_count.py  
-- find_storage_units.py
-- generate_multi_unit_storage_units.py
-
-Usage:
-    python process.py INPUT_FILE [--output-dir OUTPUT_DIR]
-
-Input file should contain columns:
-- slot: The schema slot name
-- ucum_notation: UCUM-compatible unit notation
-- problem: 1 if problematic unit, 0 if clean
-
-Outputs:
-- storage-units-single.txt: yq commands for single-unit slots
-- storage-units-multi.txt: yq commands for multi-unit slots
-"""
-
-import sys
-from pathlib import Path
-from typing import List
-import pandas as pd
-import click
-
-
-def validate_input_file(file_path: Path) -> bool:
-    """Validate that input file exists and has required columns."""
-    if not file_path.exists():
-        print(f"Error: Input file '{file_path}' not found")
-        return False
-    
-    try:
-        df = pd.read_csv(file_path, sep='\t', nrows=1)
-        required_cols = {'slot', 'ucum_notation', 'problem'}
-        missing_cols = required_cols - set(df.columns)
-        if missing_cols:
-            print(f"Error: Missing required columns: {missing_cols}")
-            print(f"Available columns: {list(df.columns)}")
-            return False
-        return True
-    except Exception as e:
-        print(f"Error reading input file: {e}")
-        return False
-
-
-def process_mixs_data(input_file: Path) -> pd.DataFrame:
-    """
-    Process MIxS data through the complete pipeline:
-    1. Add has_problem flags (slot-level)
-    2. Add slot_row_count (count units per slot)
-    3. Filter and prepare for yq command generation
-    """
-    print(f"Reading input file: {input_file}")
-    df = pd.read_csv(input_file, sep='\t')
-    
-    print(f"Loaded {len(df)} rows with {len(df['slot'].unique())} unique slots")
-    
-    # Step 1: Add has_problem column (slot-level problem flag)
-    problem_slots = df[df['problem'] == 1]['slot'].unique()
-    df['has_problem'] = df['slot'].isin(problem_slots).astype(int)
-    print(f"Found {len(problem_slots)} slots with problem units")
-    
-    # Step 2: Add slot_row_count (units per slot)
-    slot_counts = df['slot'].value_counts().to_dict()
-    df['slot_row_count'] = df['slot'].map(slot_counts)
-    
-    # Summary statistics
-    single_unit_slots = df[df['slot_row_count'] == 1]['slot'].nunique()
-    multi_unit_slots = df[df['slot_row_count'] > 1]['slot'].nunique()
-    print(f"Slots with single unit: {single_unit_slots}")
-    print(f"Slots with multiple units: {multi_unit_slots}")
-    
-    return df
-
-
-def generate_single_unit_commands(df: pd.DataFrame) -> List[str]:
-    """Generate yq commands for slots with single UCUM-compatible units."""
-    # Filter: no problems AND exactly one unit per slot
-    valid_slots = df[(df['problem'] != 1) & (df['slot_row_count'] == 1)].copy()
-    
-    commands = []
-    commands.append("# Add storage_units annotations for slots with single UCUM-compatible preferred units")
-    
-    for _, row in valid_slots.iterrows():
-        slot_name = row['slot']
-        ucum_notation = row['ucum_notation']
-        commands.append(f"'.slots.{slot_name}.annotations.storage_units.tag |= \"storage_units\"'")
-        commands.append(f"'.slots.{slot_name}.annotations.storage_units.value |= \"{ucum_notation}\"'")
-    
-    commands.append(f"\n# Generated {len(valid_slots) * 2} yq commands for {len(valid_slots)} single-unit slots")
-    return commands
-
-
-def generate_multi_unit_commands(df: pd.DataFrame) -> List[str]:
-    """Generate yq commands for slots with multiple UCUM-compatible units."""
-    # Filter: no problems AND multiple units per slot
-    multi_unit_slots = df[(df['problem'] != 1) & (df['slot_row_count'] > 1)].copy()
-    
-    # Group by slot and create pipe-separated UCUM notation lists
-    slot_groups = multi_unit_slots.groupby('slot')['ucum_notation'].apply(
-        lambda x: '|'.join(sorted(x.unique()))
-    ).reset_index()
-    
-    commands = []
-    commands.append("# Add storage_units annotations for slots with multiple UCUM-compatible preferred units")
-    
-    for _, row in slot_groups.iterrows():
-        slot_name = row['slot']
-        ucum_list = row['ucum_notation']
-        commands.append(f"'.slots.{slot_name}.annotations.storage_units = {{\"tag\": \"storage_units\", \"value\": \"{ucum_list}\"}}'")
-    
-    total_rows = len(multi_unit_slots)
-    unique_slots = len(slot_groups)
-    commands.append(f"\n# Generated {len(slot_groups)} yq commands for multi-unit storage_units annotations")
-    commands.append(f"# Summary: {total_rows} total rows across {unique_slots} slots with multiple units")
-    
-    return commands
-
-
-def write_output_files(single_commands: List[str], multi_commands: List[str], output_dir: Path):
-    """Write yq commands to output files."""
-    output_dir.mkdir(parents=True, exist_ok=True)
-    
-    single_file = output_dir / "yq_commands_single_unit.txt"
-    multi_file = output_dir / "yq_commands_multi_unit.txt"
-    
-    with open(single_file, 'w') as f:
-        f.write('\n'.join(single_commands))
-    print(f"Written single-unit commands to: {single_file}")
-    
-    with open(multi_file, 'w') as f:
-        f.write('\n'.join(multi_commands))
-    print(f"Written multi-unit commands to: {multi_file}")
-
-
-@click.command()
-@click.option('--input', type=click.Path(exists=True, path_type=Path), required=True,
-              help='TSV file with columns: slot, ucum_notation, problem')
-@click.option('--output-dir', type=click.Path(path_type=Path), default=Path('.'),
-              help='Output directory for generated files')
-def main(input: Path, output_dir: Path):
-    """Process MIxS unit data and generate storage_units yq commands."""
-    
-    input_file = input
-    
-    # Validate input
-    if not validate_input_file(input_file):
-        sys.exit(1)
-    
-    try:
-        # Process the data through the complete pipeline
-        df = process_mixs_data(input_file)
-        
-        # Generate yq commands
-        click.echo("Generating yq commands...")
-        single_commands = generate_single_unit_commands(df)
-        multi_commands = generate_multi_unit_commands(df)
-        
-        # Write output files
-        write_output_files(single_commands, multi_commands, output_dir)
-        click.echo(f"Processing complete! Files written to: {output_dir}")
-    
-    except Exception as e:
-        click.echo(f"Error during processing: {e}", err=True)
-        sys.exit(1)
-
-
-if __name__ == "__main__":
-    main()
\ No newline at end of file
diff --git a/units/scripts/testdata_check_has_unit.py b/units/scripts/testdata_check_has_unit.py
deleted file mode 100644
index 124408e987..0000000000
--- a/units/scripts/testdata_check_has_unit.py
+++ /dev/null
@@ -1,81 +0,0 @@
-#!/usr/bin/env python3
-"""
-Script to check QuantityValue fields for missing has_unit fields.
-"""
-
-import click
-import yaml
-import csv
-from pathlib import Path
-
-
-def check_quantity_value_units(data, path=""):
-    """
-    Recursively check for QuantityValue entries missing has_unit fields.
-    """
-    missing_units = []
-    
-    if isinstance(data, dict):
-        if data.get('type') == 'nmdc:QuantityValue':
-            if 'has_unit' not in data:
-                missing_units.append({
-                    'path': path,
-                    'has_raw_value': data.get('has_raw_value', 'N/A')
-                })
-        
-        for key, value in data.items():
-            new_path = f"{path}.{key}" if path else key
-            missing_units.extend(check_quantity_value_units(value, new_path))
-    
-    elif isinstance(data, list):
-        for i, item in enumerate(data):
-            new_path = f"{path}[{i}]"
-            missing_units.extend(check_quantity_value_units(item, new_path))
-    
-    return missing_units
-
-
-@click.command()
-@click.option('--file-path', default='src/data/valid/Biosample-possibly-exhaustive.yaml', help='Path to YAML file to check.')
-@click.option('--output', 'output_file', default='output/testdata_has_unit_check.tsv', help='Output TSV file for results.')
-def main(file_path, output_file):
-    """
-    Check a YAML file for QuantityValue entries missing has_unit fields.
-    """
-    file_path = Path(file_path)
-    output_file = Path(output_file)
-    
-    if not file_path.exists():
-        click.echo(f"Error: File {file_path} does not exist")
-        return
-    
-    # Ensure output directory exists
-    output_file.parent.mkdir(parents=True, exist_ok=True)
-    
-    with open(file_path, 'r') as f:
-        data = yaml.safe_load(f)
-    
-    missing_units = check_quantity_value_units(data)
-    
-    # Write structured output
-    with open(output_file, 'w', newline='') as f:
-        writer = csv.writer(f, delimiter='\t')
-        writer.writerow(['path', 'has_raw_value', 'status'])
-        
-        if missing_units:
-            for entry in missing_units:
-                writer.writerow([entry['path'], entry['has_raw_value'], 'missing_has_unit'])
-        
-        # Write summary row
-        writer.writerow(['SUMMARY', f'{len(missing_units)} missing has_unit fields', 
-                        'FAIL' if missing_units else 'PASS'])
-    
-    # Minimal console output
-    if missing_units:
-        click.echo(f"Found {len(missing_units)} QuantityValue entries missing has_unit - see {output_file}")
-    else:
-        click.echo(f"✅ All QuantityValue entries have has_unit fields - see {output_file}")
-
-
-if __name__ == '__main__':
-    main()
\ No newline at end of file
diff --git a/units/scripts/testdata_extract_quantity_values.py b/units/scripts/testdata_extract_quantity_values.py
deleted file mode 100644
index ee85ff4266..0000000000
--- a/units/scripts/testdata_extract_quantity_values.py
+++ /dev/null
@@ -1,110 +0,0 @@
-#!/usr/bin/env python3
-"""
-Script to flatten nmdc:QuantityValue structures from YAML files
-to TSV format with specified columns.
-"""
-
-import yaml
-import csv
-import sys
-import click
-from pathlib import Path
-from typing import Dict, Any, List
-
-def extract_quantity_values(data: Dict[str, Any], parent_key: str = '') -> List[Dict[str, str]]:
-    """Extract all QuantityValue structures from nested YAML data."""
-    results = []
-    
-    for key, value in data.items():
-        current_key = f"{parent_key}.{key}" if parent_key else key
-        
-        if isinstance(value, dict):
-            if value.get('type') == 'nmdc:QuantityValue':
-                # Extract QuantityValue fields
-                qv_data = {
-                    'field_name': current_key,
-                    'has_maximum_numeric_value': str(value.get('has_maximum_numeric_value', '')),
-                    'has_minimum_numeric_value': str(value.get('has_minimum_numeric_value', '')),
-                    'has_numeric_value': str(value.get('has_numeric_value', '')),
-                    'has_unit': str(value.get('has_unit', '')),
-                    'has_raw_value': str(value.get('has_raw_value', '')),
-                    'type': str(value.get('type', ''))
-                }
-                results.append(qv_data)
-            else:
-                # Recursively search nested dictionaries
-                results.extend(extract_quantity_values(value, current_key))
-        elif isinstance(value, list):
-            # Handle lists of objects
-            for i, item in enumerate(value):
-                if isinstance(item, dict):
-                    if item.get('type') == 'nmdc:QuantityValue':
-                        qv_data = {
-                            'field_name': f"{current_key}[{i}]",
-                            'has_maximum_numeric_value': str(item.get('has_maximum_numeric_value', '')),
-                            'has_minimum_numeric_value': str(item.get('has_minimum_numeric_value', '')),
-                            'has_numeric_value': str(item.get('has_numeric_value', '')),
-                            'has_unit': str(item.get('has_unit', '')),
-                            'has_raw_value': str(item.get('has_raw_value', '')),
-                            'type': str(item.get('type', ''))
-                        }
-                        results.append(qv_data)
-                    else:
-                        results.extend(extract_quantity_values(item, f"{current_key}[{i}]"))
-    
-    return results
-
-@click.command()
-@click.option('--input', 'input_file', default='../src/data/valid/Biosample-possibly-exhaustive.yaml', 
-              type=click.Path(exists=True, path_type=Path), 
-              help='Input YAML file containing QuantityValue structures')
-@click.option('--output', 'output_file', default='quantity_values.tsv',
-              type=click.Path(path_type=Path),
-              help='Output TSV file path')
-def main(input_file, output_file):
-    """Extract QuantityValue structures from YAML file to TSV format."""
-    
-    # Read YAML file
-    try:
-        with open(input_file, 'r') as f:
-            data = yaml.safe_load(f)
-    except FileNotFoundError:
-        click.echo(f"Error: File {input_file} not found")
-        sys.exit(1)
-    except yaml.YAMLError as e:
-        click.echo(f"Error parsing YAML: {e}")
-        sys.exit(1)
-    
-    # Extract QuantityValue structures
-    quantity_values = extract_quantity_values(data)
-    
-    if not quantity_values:
-        click.echo("No QuantityValue structures found in the file")
-        sys.exit(0)
-    
-    # Define column headers
-    headers = [
-        'field_name',
-        'has_maximum_numeric_value',
-        'has_minimum_numeric_value',
-        'has_numeric_value',
-        'has_unit',
-        'has_raw_value',
-        'type'
-    ]
-    
-    # Write to TSV file
-    try:
-        with open(output_file, 'w', newline='') as f:
-            writer = csv.DictWriter(f, fieldnames=headers, delimiter='\t')
-            writer.writeheader()
-            writer.writerows(quantity_values)
-        
-        click.echo(f"Extracted {len(quantity_values)} QuantityValue structures to {output_file}")
-        
-    except IOError as e:
-        click.echo(f"Error writing to file: {e}")
-        sys.exit(1)
-
-if __name__ == '__main__':
-    main()
\ No newline at end of file
diff --git a/units/scripts/ucum_validate_units.py b/units/scripts/ucum_validate_units.py
deleted file mode 100644
index 81c0f01fc8..0000000000
--- a/units/scripts/ucum_validate_units.py
+++ /dev/null
@@ -1,403 +0,0 @@
-#!/usr/bin/env python3
-"""
-UCUM Unit Validator
-
-This script validates has_unit values from quantity_values.tsv against the UOM website
-to identify invalid UCUM codes. It handles UCUM format conversion, annotation cleaning,
-and provides comprehensive validation reporting.
-
-Author: Generated with Claude Code
-"""
-
-import csv
-import re
-import sys
-import time
-import urllib.parse
-import click
-from dataclasses import dataclass
-from enum import Enum
-from pathlib import Path
-from typing import Dict, List, Optional, Set, Tuple
-
-import requests
-
-
-class ValidationStatus(Enum):
-    """Status of unit validation."""
-    VALID = "valid"
-    INVALID = "invalid"
-    SKIPPED = "skipped"
-    ERROR = "error"
-
-
-@dataclass
-class ValidationResult:
-    """Result of unit validation."""
-    unit: str
-    status: ValidationStatus
-    message: str
-    cleaned_unit: Optional[str] = None
-    ucum_format: Optional[str] = None
-
-
-@dataclass
-class ValidationSummary:
-    """Summary of validation results."""
-    total_units: int
-    valid_units: List[ValidationResult]
-    invalid_units: List[ValidationResult]
-    skipped_units: List[ValidationResult]
-    error_units: List[ValidationResult]
-    
-    @property
-    def success_rate(self) -> float:
-        """Calculate success rate (valid + skipped / total)."""
-        if self.total_units == 0:
-            return 0.0
-        return (len(self.valid_units) + len(self.skipped_units)) / self.total_units * 100
-
-
-class UCUMValidator:
-    """Validator for UCUM units using the UOM website."""
-    
-    BASE_URL = "https://units-of-measurement.org"
-    REQUEST_DELAY = 0.5  # seconds
-    REQUEST_TIMEOUT = 10  # seconds
-    
-    # Units that should be skipped (special cases)
-    SKIP_UNITS = {'1', 'mm[Hg]'}
-    
-    def __init__(self, delay: float = REQUEST_DELAY, timeout: float = REQUEST_TIMEOUT):
-        """Initialize validator with optional custom delay and timeout."""
-        self.delay = delay
-        self.timeout = timeout
-    
-    def extract_unique_units(self, tsv_file: Path) -> Set[str]:
-        """Extract unique has_unit values from the TSV file."""
-        unique_units = set()
-        
-        try:
-            with open(tsv_file, 'r', encoding='utf-8') as f:
-                reader = csv.DictReader(f, delimiter='\t')
-                for row in reader:
-                    unit = row.get('has_unit', '').strip()
-                    if unit:  # Skip empty units
-                        unique_units.add(unit)
-        except KeyError as e:
-            raise ValueError(f"Missing required column in TSV file: {e}")
-        
-        return unique_units
-    
-    def convert_to_ucum_format(self, unit: str) -> str:
-        """
-        Convert units with division (/) to UCUM format using multiplication (.) and inverse (-1).
-        Also handle exponents properly (e.g., m3 -> m^3, so 1/m3 -> m-3).
-        
-        Examples:
-            'g/g' -> 'g.g-1'
-            'mg/L' -> 'mg.L-1'
-            'mol/L/h' -> 'mol.L-1.h-1'
-            'g/m3' -> 'g.m-3'
-            'kW/m2' -> 'kW.m-2'
-        """
-        if '/' not in unit:
-            return unit
-        
-        # Split on '/' and process each part
-        parts = unit.split('/')
-        
-        # First part stays as is
-        result = parts[0]
-        
-        # Subsequent parts get converted with proper exponent handling
-        for part in parts[1:]:
-            # Check if the part ends with a number (indicating an exponent)
-            match = re.match(r'^([a-zA-Z\[\]\']+)(\d+)$', part)
-            if match:
-                base_unit = match.group(1)
-                exponent = match.group(2)
-                # For division, we negate the exponent
-                result += f'.{base_unit}-{exponent}'
-            else:
-                # No exponent, just add -1
-                result += f'.{part}-1'
-        
-        return result
-    
-    def clean_unit_for_checking(self, unit: str) -> Tuple[str, bool]:
-        """
-        Clean a unit for UCUM checking by removing curly bracket annotations.
-        
-        Returns:
-            tuple: (cleaned_unit, should_skip)
-                - cleaned_unit: unit with curly bracket portions removed
-                - should_skip: True if the unit should be skipped entirely
-        """
-        # Skip these specific units
-        if unit in self.SKIP_UNITS:
-            return unit, True
-        
-        # Remove anything in curly brackets (annotations)
-        cleaned = re.sub(r'\{[^}]*\}', '', unit)
-        
-        # If nothing is left after removing annotations, skip it
-        if not cleaned.strip():
-            return unit, True
-        
-        return cleaned.strip(), False
-    
-    def validate_unit_with_uom(self, unit: str) -> ValidationResult:
-        """
-        Validate a single unit against the UOM website.
-        
-        Args:
-            unit: The unit string to validate
-            
-        Returns:
-            ValidationResult with status and details
-        """
-        # Clean the unit and check if it should be skipped
-        cleaned_unit, should_skip = self.clean_unit_for_checking(unit)
-        
-        if should_skip:
-            return ValidationResult(
-                unit=unit,
-                status=ValidationStatus.SKIPPED,
-                message="Skipped (dimensionless or custom unit)",
-                cleaned_unit=cleaned_unit if cleaned_unit != unit else None
-            )
-        
-        # Convert to UCUM format for units with division
-        ucum_unit = self.convert_to_ucum_format(cleaned_unit)
-        
-        # Percent encode the unit for URL
-        encoded_unit = urllib.parse.quote(ucum_unit, safe='')
-        url = f"{self.BASE_URL}/{encoded_unit}"
-        
-        try:
-            # Add a small delay to be respectful to the server
-            time.sleep(self.delay)
-            
-            response = requests.get(url, timeout=self.timeout)
-            response_text = response.text
-            
-            # Check for the error message indicating invalid UCUM code
-            if "Oops!" in response_text and "is not a valid UCUM code" in response_text:
-                return ValidationResult(
-                    unit=unit,
-                    status=ValidationStatus.INVALID,
-                    message="Invalid UCUM code",
-                    cleaned_unit=cleaned_unit if cleaned_unit != unit else None,
-                    ucum_format=ucum_unit if ucum_unit != cleaned_unit else None
-                )
-            elif response.status_code == 200:
-                return ValidationResult(
-                    unit=unit,
-                    status=ValidationStatus.VALID,
-                    message=url,
-                    cleaned_unit=cleaned_unit if cleaned_unit != unit else None,
-                    ucum_format=ucum_unit if ucum_unit != cleaned_unit else None
-                )
-            else:
-                return ValidationResult(
-                    unit=unit,
-                    status=ValidationStatus.ERROR,
-                    message=f"HTTP {response.status_code}",
-                    cleaned_unit=cleaned_unit if cleaned_unit != unit else None,
-                    ucum_format=ucum_unit if ucum_unit != cleaned_unit else None
-                )
-                
-        except requests.RequestException as e:
-            return ValidationResult(
-                unit=unit,
-                status=ValidationStatus.ERROR,
-                message=f"Request failed: {str(e)}",
-                cleaned_unit=cleaned_unit if cleaned_unit != unit else None,
-                ucum_format=ucum_unit if ucum_unit != cleaned_unit else None
-            )
-    
-    def validate_units(self, units: Set[str], verbose: bool = True) -> ValidationSummary:
-        """
-        Validate a set of units and return comprehensive results.
-        
-        Args:
-            units: Set of unit strings to validate
-            verbose: Whether to print progress information
-            
-        Returns:
-            ValidationSummary with all results
-        """
-        if verbose:
-            print(f"Found {len(units)} unique has_unit values")
-            print("\\nUnique units:")
-            for unit in sorted(units):
-                print(f"  '{unit}'")
-            
-            print(f"\\nChecking validity of {len(units)} units against UOM website...")
-            print("(This may take a while due to rate limiting)")
-        
-        valid_units = []
-        invalid_units = []
-        error_units = []
-        skipped_units = []
-        
-        for i, unit in enumerate(sorted(units), 1):
-            result = self.validate_unit_with_uom(unit)
-            
-            if verbose:
-                # Show the cleaning process if applicable
-                display_parts = []
-                if result.cleaned_unit:
-                    display_parts.append(f"cleaned to '{result.cleaned_unit}'")
-                if result.ucum_format:
-                    display_parts.append(f"UCUM format '{result.ucum_format}'")
-                
-                if display_parts:
-                    display_str = " (" + ", ".join(display_parts) + ")"
-                    print(f"[{i}/{len(units)}] Checking '{unit}'{display_str}...")
-                else:
-                    print(f"[{i}/{len(units)}] Checking '{unit}'...")
-            
-            # Categorize results
-            if result.status == ValidationStatus.VALID:
-                valid_units.append(result)
-                if verbose:
-                    print(f"  ✓ Valid: {result.message}")
-            elif result.status == ValidationStatus.INVALID:
-                invalid_units.append(result)
-                if verbose:
-                    print(f"  ✗ Invalid: {result.message}")
-            elif result.status == ValidationStatus.SKIPPED:
-                skipped_units.append(result)
-                if verbose:
-                    print(f"  - Skipped: {result.unit}")
-            else:  # ERROR
-                error_units.append(result)
-                if verbose:
-                    print(f"  ? Error: {result.message}")
-        
-        return ValidationSummary(
-            total_units=len(units),
-            valid_units=valid_units,
-            invalid_units=invalid_units,
-            skipped_units=skipped_units,
-            error_units=error_units
-        )
-
-
-class ReportGenerator:
-    """Generate validation reports."""
-    
-    @staticmethod
-    def print_summary_report(summary: ValidationSummary) -> None:
-        """Print a comprehensive summary report."""
-        print(f"\\n{'='*60}")
-        print("SUMMARY REPORT")
-        print(f"{'='*60}")
-        print(f"Total units found: {summary.total_units}")
-        print(f"Valid units: {len(summary.valid_units)}")
-        print(f"Invalid units: {len(summary.invalid_units)}")
-        print(f"Error/Unable to check: {len(summary.error_units)}")
-        print(f"Skipped units: {len(summary.skipped_units)}")
-        print(f"Success rate: {summary.success_rate:.1f}%")
-        
-        if summary.skipped_units:
-            print(f"\\n{'='*60}")
-            print("SKIPPED UNITS:")
-            print(f"{'='*60}")
-            for result in summary.skipped_units:
-                print(f"  '{result.unit}' - {result.message}")
-        
-        if summary.invalid_units:
-            print(f"\\n{'='*60}")
-            print("INVALID UCUM CODES FOUND:")
-            print(f"{'='*60}")
-            for result in summary.invalid_units:
-                print(f"  '{result.unit}' - {result.message}")
-        
-        if summary.error_units:
-            print(f"\\n{'='*60}")
-            print("UNITS WITH ERRORS (unable to verify):")
-            print(f"{'='*60}")
-            for result in summary.error_units:
-                print(f"  '{result.unit}' - {result.message}")
-        
-        if summary.valid_units:
-            print(f"\\n{'='*60}")
-            print("VALID UCUM CODES:")
-            print(f"{'='*60}")
-            for result in summary.valid_units:
-                print(f"  '{result.unit}' - {result.message}")
-    
-    @staticmethod
-    def save_csv_report(summary: ValidationSummary, output_file: Path) -> None:
-        """Save validation results to a CSV file."""
-        all_results = (
-            summary.valid_units + 
-            summary.invalid_units + 
-            summary.skipped_units + 
-            summary.error_units
-        )
-        
-        with open(output_file, 'w', newline='', encoding='utf-8') as f:
-            writer = csv.writer(f)
-            writer.writerow(['unit', 'status', 'message', 'cleaned_unit', 'ucum_format'])
-            
-            for result in all_results:
-                writer.writerow([
-                    result.unit,
-                    result.status.value,
-                    result.message,
-                    result.cleaned_unit or '',
-                    result.ucum_format or ''
-                ])
-
-
-@click.command()
-@click.option('--input', 'input_file', default='quantity_values.tsv',
-              type=click.Path(exists=True, path_type=Path),
-              help='Input TSV file with QuantityValue data')
-@click.option('--output', 'output_file', default='units_validation_report.csv',
-              type=click.Path(path_type=Path),
-              help='Output CSV file for validation report')
-@click.option('--verbose', is_flag=True, help='Show detailed progress information')
-def main(input_file, output_file, verbose) -> None:
-    """Validate UCUM units from QuantityValue TSV file."""
-    
-    try:
-        # Initialize validator
-        validator = UCUMValidator()
-        
-        # Extract unique units from TSV file
-        unique_units = validator.extract_unique_units(input_file)
-        
-        # Validate units
-        summary = validator.validate_units(unique_units, verbose=verbose)
-        
-        # Generate report (only if verbose)
-        if verbose:
-            ReportGenerator.print_summary_report(summary)
-        
-        # Save CSV report
-        ReportGenerator.save_csv_report(summary, output_file)
-        
-        # Minimal console summary
-        if not verbose:
-            click.echo(f"UCUM validation: {len(summary.valid_units)} valid, {len(summary.invalid_units)} invalid, {summary.success_rate:.1f}% success - see {output_file}")
-        else:
-            click.echo(f"\nValidation report saved to: {output_file}")
-        
-    except FileNotFoundError:
-        click.echo(f"Error: File {input_file} not found", file=sys.stderr)
-        sys.exit(1)
-    except ValueError as e:
-        click.echo(f"Error: {e}", file=sys.stderr)
-        sys.exit(1)
-    except Exception as e:
-        click.echo(f"Unexpected error: {e}", file=sys.stderr)
-        sys.exit(1)
-
-
-if __name__ == '__main__':
-    main()
\ No newline at end of file
diff --git a/utils/test_modules_are_independent.py b/utils/test_modules_are_independent.py
deleted file mode 100644
index e02aa37677..0000000000
--- a/utils/test_modules_are_independent.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import unittest
-import linkml.generators.jsonschemagen as jsg
-import linkml.generators.owlgen as og
-import os
-from linkml_runtime import SchemaView
-
-ROOT = os.path.join(os.path.dirname(__file__), '..')
-SCHEMA_DIR = os.path.join(ROOT, "src", "schema")
-
-schema_modules = []
-
-for root, dirs, files in os.walk(SCHEMA_DIR):
-    for file in files:
-        if file.endswith(".yaml"):
-            schema_modules.append(os.path.join(root, file))
-
-
-class TestModulesAreIndependent(unittest.TestCase):
-    """Test that modules can be independently converted to JSON schema."""
-
-    def test_modules_are_independent(self):
-        """Test that modules are independent."""
-
-        schema_modules.sort()
-
-        for schema_module in schema_modules:
-            if schema_module.endswith("deprecated.yaml"):
-                continue
-            view = SchemaView(schema_module)
-            generated = jsg.JsonSchemaGenerator(schema=view.schema)
-            generated_text = generated.serialize()
-
-            assert generated_text is not None
-
-
-class TestModulesForOwl(unittest.TestCase):
-    """Test that modules can be independently converted to OWL."""
-
-    def test_modules_are_independent(self):
-        """Test that modules are independent."""
-
-        # schema_modules = [
-        # ] # could test a defined subset
-
-        for schema_module in schema_modules:
-            if schema_module.endswith("deprecated.yaml"):
-                continue
-            view = SchemaView(schema_module)
-            generated = og.OwlSchemaGenerator(schema=view.schema)
-            generated_text = generated.serialize()
-
-            assert generated_text is not None