feat: update v1 Experiment schema to include Intervention and Tracer Study classes (#4)

* checkin .mise.toml

* add tracer info details

* add support for other in feedstock_type

* add line as possible field in GeoShape

* add Tracer and Intervention classes with use of mixins

* updated artifacts

* update person schema, add support for researcher id type enum

* add support for qudt unit ontology

* Add explicit SpatialCoverage and DosingLocation classes

* remove vertical coverage from project-level

* add supplemental scripts and files for unit conversion

* refactor permits

* update project_id description

* gen project from project desc updates

* update public_comment to be freetext field

* update descriptions

* make vertical coverage optional

---------

Co-authored-by: clevinson <cory@soundcloud.com>

Author: clevinson

.mise.toml

@@ -0,0 +1,2 @@
+[tools]
+python = "3.12"

extract_mass_concentration_units.py

@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+"""
+Extract QUDT units with hasQuantityKind quantitykind:MassConcentration from local ontology file.
+This is a lightweight replacement for vskit for the specific MassConcentration use case.
+"""
+
+import yaml
+from pathlib import Path
+import re
+
+def load_vskit_config(config_path="vskit-config.yaml"):
+    """Load vskit config to find the local unit.ttl path."""
+    with open(config_path, 'r') as f:
+        config = yaml.safe_load(f)
+
+    # Get the path for qudt:unit
+    unit_path = config['resource_resolvers']['qudt:unit']['shorthand']
+    return unit_path
+
+def extract_mass_concentration_units(ttl_path):
+    """
+    Extract all units that have qudt:hasQuantityKind quantitykind:MassConcentration.
+    Returns a list of unit identifiers in the format "unit:____".
+    """
+    units = []
+    current_unit = None
+
+    with open(ttl_path, 'r', encoding='utf-8') as f:
+        for line in f:
+            line = line.strip()
+
+            # Look for unit definitions (e.g., "unit:KiloGM-PER-M3")
+            if line.startswith('unit:'):
+                # Extract the unit identifier
+                match = re.match(r'^(unit:\S+)', line)
+                if match:
+                    current_unit = match.group(1)
+
+            # Look for hasQuantityKind quantitykind:MassConcentration
+            elif 'hasQuantityKind quantitykind:MassConcentration' in line and current_unit:
+                # Add the unit if we haven't already (avoid duplicates)
+                if current_unit not in units:
+                    units.append(current_unit)
+
+    return sorted(set(units))
+
+def main():
+    # Load the vskit config to find the local ontology path
+    unit_path = load_vskit_config()
+
+    # Extract units
+    units = extract_mass_concentration_units(unit_path)
+
+    # Print results (one per line, ready for LinkML enum)
+    print("# Mass Concentration Units from QUDT")
+    print(f"# Found {len(units)} units with hasQuantityKind quantitykind:MassConcentration")
+    print()
+    for unit in units:
+        print(unit)
+
+if __name__ == "__main__":
+    main()