Geosetta API Documentation

Error Responses:

GET /api/viewer/health

Authentication: Not required.

{
    "status": "ok",
    "src_exists": true,
    "plotly_cached": true,
    "index_template": true
}

🆕 Geosetta Subsurface Summary API

Generate comprehensive Geosetta Subsurface Summary reports for any user-defined polygon. These reports compile geological data, soil information, nearby boreholes, and ML predictions into a professional PDF format.

Features:

• Professional report format with comprehensive geotechnical data
• Preliminary site characterization with geological and soil data
• ML predictions for SPT N-values and groundwater depth
• Nearby borings (5-mile radius)
• USGS geology and SoilsGrid data integration
• Clear disclaimers emphasizing preliminary nature
• Two output formats: JSON data or PDF (base64 encoded)

import requests
import json

api_key = "your_api_key_here"

# Define your polygon (GeoJSON format)
polygon_geojson = {
    "type": "Polygon",
    "coordinates": [[
        [-78.4300, 38.1150],  # Northwest corner
        [-78.4250, 38.1150],  # Northeast corner
        [-78.4250, 38.1100],  # Southeast corner
        [-78.4300, 38.1100],  # Southwest corner
        [-78.4300, 38.1150]   # Close polygon
    ]]
}

# Request body
request_body = {
    "geojson": json.dumps(polygon_geojson),
    "format": "pdf"  # Options: "pdf" for PDF report, "json" for raw data
}

# Make the request
response = requests.post(
    "https://geosetta.org/web_map/api/generate_site_report/",
    json=request_body,
    headers={
        "Authorization": f"Bearer {api_key}",  # Or use "X-API-Key": api_key
        "Content-Type": "application/json"
    }
)

# Check the response
if response.status_code == 200:
    result = response.json()
    if result['status'] == 'success':
        if request_body['format'] == 'pdf':
            # Decode base64 PDF
            import base64
            pdf_data = base64.b64decode(result['pdf'])
            
            # Save to file
            with open('site_assessment_appendix.pdf', 'wb') as f:
                f.write(pdf_data)
            print(f"Appendix PDF saved! Size: {result['metadata']['size_bytes']} bytes")
            print(f"Filename: {result['metadata']['filename']}")
        else:
            # JSON data format
            print("Report data received:")
            print(f"Polygon area: {result['data']['polygon']['area']['acres']:.2f} acres")
            print(f"Geology: {result['data']['geology']['formation']}")
            print(f"Nearby boreholes: {result['data']['boreholes']['total_count']}")
else:
    print(f"Error: {response.status_code}")
    print(response.json())

Response Format (PDF mode):

{
    "status": "success",
    "pdf": "JVBERi0xLjQKJcfs...",  // Base64 encoded PDF
    "metadata": {
        "filename": "geosetta_site_assessment_appendix_20241205_143022.pdf",
        "size_bytes": 98765,
        "generation_time": 6.23,
        "report_version": "1.0"
    },
    "disclaimer": {
        "text": "This report is for preliminary planning purposes only...",
        "terms_url": "https://geosetta.org/terms",
        "must_accept": true
    }
}

Response Format (JSON mode):

{
    "status": "success",
    "data": {
        "polygon": {
            "centroid": {"lat": 38.1125, "lon": -78.4275},
            "area": {"acres": 123.45, "hectares": 49.98, "square_meters": 499776},
            "address": "Near Charlottesville, VA 22903",
            "elevation_ft": 485.2
        },
        "geology": {
            "formation": "Granite",
            "age": "Paleozoic",
            "major_components": ["Granite", "Gneiss"],
            "usgs_url": "https://ngmdb.usgs.gov/..."
        },
        "soils": {
            "soil_type": "Alfisols",
            "wrb_class": "Luvisols",
            "properties": {
                "clay_content": 25.5,
                "sand_content": 35.2,
                "organic_carbon": 1.8
            },
            "usda_soil_survey_url": "https://websoilsurvey.sc.egov.usda.gov/..."
        },
        "predictions": {
            "predictions_by_depth": [
                {
                    "depth_ft": 0,
                    "spt_n": "10-25",
                    "soil_description": "Medium dense sandy CLAY"
                },
                // ... more depth predictions to 50 ft
            ],
            "groundwater": {
                "depth_label": "Medium (10-50 ft)",
                "deviation_label": "Moderate (5-20 ft variation)"
            }
        },
        "boreholes": {
            "total_count": 15,
            "closest_distance_miles": 0.8,
            "all_boreholes": [
                {
                    "functional_key": "38.1234;-78.4321",
                    "distance_miles": 0.8,
                    "provider": "VDOT",
                    "depth_ft": 45,
                    "map_url": "https://geosetta.org/web_map/map/#18/38.1234/-78.4321"
                }
                // ... more boreholes
            ]
        },
        "metadata": {
            "collection_time": 5.89,
            "timestamp": "2024-12-05T14:30:22Z"
        }
    },
    "disclaimer": {
        "text": "This data is for preliminary planning only...",
        "terms_url": "https://geosetta.org/terms",
        "must_accept": true
    }
}

Appendix Contents Include:

• Site Location: Area calculations, nearest address, centroid elevation
• Anticipated Geology: USGS formation data, rock types, age
• Anticipated Surficial Soils: SoilsGrid WRB classification, engineering properties
• Predicted Subsurface Profile: SPT N-values and soil descriptions to 50 ft
• Groundwater Predictions: Depth category and seasonal variation
• Nearby Borings: Within 5-mile radius with clickable map links
• Data Sources & References: Complete citations and contact information

API Endpoint to retrieve Historic Data around Radius:

  api_key = "your_api_key_here"

  # Your payload and API key
  json_payload = {
      "deliverableType": "Return_Historic_Data_In_Radius",
      "data": {
          "points": [
              {
                  "latitude":   39.21884440935613,
                  "longitude": -76.84346423232522,
                  "radius_m": 1000
              }
          ]
      }
  }
  
  # Make the request
  response = requests.post(
      "https://geosetta.org/web_map/api_key/",
      json=json_payload,  # Directly send the json_payload
      headers={
          "Authorization": f"Bearer {api_key}"  # Set the API key in the Authorization header
      }
  )
  
  # Check the response
  if response.status_code == 200:
      print("API request successful:")
      print(response.json())
      response_data = response.json()  # Convert the Response object to a dictionary
      points_in_radius = response_data['results']['points_in_radius']
      print(points_in_radius)
  
  else:
      print("API request failed:")
      print(f"Status code: {response.status_code}")
      print(response.text)
  

The server will respond with a JSON object like this:

{'message': 'Data processed successfully.', 'results': {'points_in_radius': {'type': 'FeatureCollection', 'features': [{'type': 'Point', 'coordinates': [-76.8445259, 39.22082777], 'properties': {'content': '
 Geosetta History 
\n    
 Source: MDOT
  (lat,lng): 39.2208278 , -76.8445259 elev ft: 335.20\n    
Total Depth: 25.0 ft
 Available Deliverables: 
\n    
Generate Pointcloud
\n    
Monthly Precipitation History NOAA
\n    
Open Soils Map
\n    \n        
\n            
\n            View Borehole Log with RSLog\n        
\n        
Diggs File
'}}, {'type': 'Point', 'coordinates': [-76.84413791, 39.22100078], 'properties': {'content': '
 Geosetta History 
\n    
 Source: MDOT
  (lat,lng): 39.2210008 , -76.8441379 elev ft: 346.00\n    
Total Depth: 5.0 ft
 Available Deliverables: 
\n    
Generate Pointcloud
\n    
Monthly Precipitation History NOAA
\n    
Open Soils Map
\n    \n        
\n            
\n            View Borehole Log with RSLog\n        
\n        
Diggs File
'}}, {'type': 'Point', 'coordinates': [-76.8453399, 39.22108078], 'properties': {'content': '
 Geosetta History 
\n    
 Source: MDOT
  (lat,lng): 39.2210808 , -76.8453399 elev ft: 338.10\n    
Total Depth: 20.0 ft
 Available Deliverables: 
\n    
Generate Pointcloud
\n    
Monthly Precipitation History NOAA
\n    
Open Soils Map
\n    \n        
\n            
\n            View Borehole Log with RSLog\n        
\n        
Diggs File
'}}]}}, 'disclaimer': 'The information provided by this API has been made available by various DOTs and other public agencies. The predictive models presented herein are based on machine learning tools applied to the data. The predicted subsurface conditions are a probabilistic model and do not depict the actual conditions at the site. No claim as to the accuracy of the data and predictive model is made or implied. No other representation, expressed or implied, is included or intended and no warranty or guarantee is included or intended in any Geosetta data or models. The User understands these limitations and that Geosetta is a tool for planning subsurface investigations and not a substitute for it. In no event shall Geosetta or the Data Owners be liable to the User or another Party for any incidental, consequential, special, exemplary or indirect damages, lost business profits or lost data arising out of or in any way related to the use of information or data obtained from the Geosetta.org website or API.'}
{'type': 'FeatureCollection', 'features': [{'type': 'Point', 'coordinates': [-76.8445259, 39.22082777], 'properties': {'content': '
 Geosetta History 
\n    
 Source: MDOT
  (lat,lng): 39.2208278 , -76.8445259 elev ft: 335.20\n    
Total Depth: 25.0 ft
 Available Deliverables: 
\n    
Generate Pointcloud
\n    
Monthly Precipitation History NOAA
\n    
Open Soils Map
\n    \n        
\n            
\n            View Borehole Log with RSLog\n        
\n        
Diggs File
'}}, {'type': 'Point', 'coordinates': [-76.84413791, 39.22100078], 'properties': {'content': '
 Geosetta History 
\n    
 Source: MDOT
  (lat,lng): 39.2210008 , -76.8441379 elev ft: 346.00\n    
Total Depth: 5.0 ft
 Available Deliverables: 
\n    
Generate Pointcloud
\n    
Monthly Precipitation History NOAA
\n    
Open Soils Map
\n    \n        
\n            
\n            View Borehole Log with RSLog\n        
\n        
Diggs File
'}}, {'type': 'Point', 'coordinates': [-76.8453399, 39.22108078], 'properties': {'content': '
 Geosetta History 
\n    
 Source: MDOT
  (lat,lng): 39.2210808 , -76.8453399 elev ft: 338.10\n    
Total Depth: 20.0 ft
 Available Deliverables: 
\n    
Generate Pointcloud
\n    
Monthly Precipitation History NOAA
\n    
Open Soils Map
\n    \n        
\n            
\n            View Borehole Log with RSLog\n        
\n        
Diggs File
'}}]}

API Endpoint to retrieve data predictions (Note you can predict up to 50 points per request with a maximum depth of 100 feet.):

New Feature: Groundwater Predictions

Each point now includes groundwater depth and seasonal variation predictions powered by machine learning models:

• Depth Categories:
  • 0 = Shallow (≤10 ft)
  • 1 = Medium (10-50 ft)
  • 2 = Deep (>50 ft)
• Seasonal Deviation Categories:
  • 0 = Low variation (≤5 ft)
  • 1 = Moderate variation (5-20 ft)
  • 2 = High variation (>20 ft)
• Probabilities: Confidence percentages for each category (shallow/medium/deep for depth, low/moderate/high for variation)

Profile Fields (per depth):

• depth_ft — Depth in feet (0 to requested depth, 1-ft increments)
• dominant_grain_size — Primary grain class: CLAY, SILT, SAND, or GRAVEL. Null when ROCK is predicted (use geomaterial to check for ROCK).
• dominant_N_value — SPT N-value range: 0, 1-9, 10-25, 26-41, 42-50, or 50+
• geomaterial — Simplified geomaterial type (same as dominant_grain_size; e.g. "CLAY")
• grain_description — Plain grain-type description without consistency prefix (e.g. "Sandy CLAY"). Null when ROCK is predicted.
• SPT_consistency — Standalone consistency/density label derived from N-value and grain type (e.g. "Soft", "Medium Dense", "Dense"). Cohesive soils use consistency terms; granular soils use density terms.
• rock_type — Geologic formation name when ROCK is predicted (e.g. "Shale", "Limestone", "Sandstone"). Null for all non-rock predictions.
• soil_description — Full enriched description combining grain type, consistency, and USCS class where available (e.g. "Soft Sandy CLAY [Lean Clay (CL)]"). Null when ROCK is predicted.
• USCS_groupSymbol — USCS group symbol. Fine-grained soils (CLAY, SILT) return lab-model symbols (e.g. "CL", "CH", "ML"). Coarse-grained soils (SAND, GRAVEL) return symbols derived from fines content and grain distribution (e.g. "SP", "SM", "SC", "SP-SM", "GP", "GM", "GC", "GP-GM"). May be null if grain type is ROCK or predictions are unavailable.
• USCS_groupName — Full USCS group name (e.g. "Lean Clay", "Silty Sand", "Poorly-graded Gravel with Silt"). Null whenever USCS_groupSymbol is null.
• lab_predictions — Detailed USCS and fines classification probabilities (present when lab model fires)

  api_key = "your_api_key_here"

  # Your payload and API key
  json_payload = {
      "deliverableType": "SPT_Point_Prediction",
      "data": {
          "points": [
              {
                  "latitude": 39.387080,
                  "longitude": -76.813480,
                  "depth": 50,
                  "surfaceelevation": None  # Optional: if not provided, will be calculated automatically
              },
              {
                  "latitude": 39.4,
                  "longitude": -76.8,
                  "depth": 30
                  # surfaceelevation will be calculated automatically if not provided
              }
          ]
      }
  }
  
  
  # Make the request
  response = requests.post(
      "https://geosetta.org/web_map/api_key/",
      json=json_payload,  # Directly send the json_payload
      headers={
          "Authorization": f"Bearer {api_key}"  # Set the API key in the Authorization header
      }
  )
  
  # Check the response
  if response.status_code == 200:
      print("API request successful:")
      print(response.json())
  else:
      print("API request failed:")
      print(f"Status code: {response.status_code}")
      print(response.text)

The server will respond with a JSON object like this:

{
    "message": "Data processed successfully.",
    "results": [
        {
            "point": {
                "latitude": 39.387080,
                "longitude": -76.813480,
                "depth": 50,
                "elevation_ft": 485.2,
                "surfaceelevation": null,
                "minimum_distance_from_trained_point_(mi)": 2.13
            },
            "profiles": [
                {
                    "depth_ft": 0,
                    "dominant_grain_size": "CLAY",
                    "dominant_N_value": "1-9",
                    "geomaterial": "CLAY",
                    "grain_description": "Sandy CLAY",
                    "SPT_consistency": "Soft",
                    "soil_description": "Soft Sandy CLAY [Lean Clay (CL)]",
                    "USCS_groupSymbol": "CL",
                    "USCS_groupName": "Lean Clay",
                    "lab_predictions": {
                        "uscs_class": "CL",
                        "uscs_probs": {"CH": 0.164, "CL": 0.686, "ML": 0.147, "NP": 0.004},
                        "fines_class": "Fine-grained",
                        "fines_probs": {"Coarse-grained": 0.436, "Fine-grained": 0.564},
                        "fines_4class": "Fine-grained",
                        "fines_4class_probs": {"Clean": 0.058, "Fine-grained": 0.6, "Significant": 0.304, "Some": 0.038}
                    }
                },
                {
                    "depth_ft": 1,
                    "dominant_grain_size": "SAND",
                    "dominant_N_value": "10-25",
                    "geomaterial": "SAND",
                    "grain_description": "SAND",
                    "SPT_consistency": "Medium Dense",
                    "soil_description": "Medium dense SAND with some silt [Silty Sand (SM)]",
                    "USCS_groupSymbol": "SM",
                    "USCS_groupName": "Silty Sand"
                },
                // ... depth profiles continue for each foot up to the requested depth
                {
                    "depth_ft": 48,
                    "dominant_grain_size": "CLAY",
                    "dominant_N_value": "26-41",
                    "geomaterial": "CLAY",
                    "grain_description": "silty CLAY",
                    "SPT_consistency": "Stiff",
                    "rock_type": null,
                    "soil_description": "Stiff silty CLAY [Fat Clay (CH)]",
                    "USCS_groupSymbol": "CH",
                    "USCS_groupName": "Fat Clay"
                },
                {
                    "depth_ft": 50,
                    "dominant_grain_size": null,
                    "dominant_N_value": "50+",
                    "geomaterial": "ROCK",
                    "grain_description": null,
                    "SPT_consistency": null,
                    "rock_type": "Shale",
                    "soil_description": null,
                    "USCS_groupSymbol": null,
                    "USCS_groupName": null
                }
            ],
            "groundwater": {
                "depth_category": 1,
                "depth_label": "Medium (10-50 ft)",
                "depth_probabilities": {
                    "shallow": 23.7,
                    "medium": 55.9,
                    "deep": 20.4
                },
                "deviation_category": 1,
                "deviation_label": "Moderate (5-20 ft variation)",
                "deviation_probabilities": {
                    "low": 44.9,
                    "moderate": 50.2,
                    "high": 4.9
                }
            }
        },
        {
            "point": {
                "latitude": 39.4,
                "longitude": -76.8,
                "depth": 30,
                "elevation_ft": 312.7,
                "surfaceelevation": null,
                "minimum_distance_from_trained_point_(mi)": 1.87
            },
            "profiles": [
                {
                    "depth_ft": 0,
                    "dominant_grain_size": "SILT",
                    "dominant_N_value": "1-9",
                    "geomaterial": "SILT",
                    "grain_description": "SILT",
                    "SPT_consistency": "Soft",
                    "soil_description": "Soft SILT [Silt (ML)]",
                    "USCS_groupSymbol": "ML",
                    "USCS_groupName": "Silt"
                },
                {
                    "depth_ft": 1,
                    "dominant_grain_size": "SILT",
                    "dominant_N_value": "10-25",
                    "geomaterial": "SILT",
                    "grain_description": "SILT",
                    "SPT_consistency": "Medium Stiff",
                    "soil_description": "Medium stiff SILT [Silt (ML)]",
                    "USCS_groupSymbol": "ML",
                    "USCS_groupName": "Silt"
                },
                // ... depth profiles continue for each foot up to the requested depth
                {
                    "depth_ft": 30,
                    "dominant_grain_size": "SAND",
                    "dominant_N_value": "10-25",
                    "geomaterial": "SAND",
                    "grain_description": "SAND",
                    "SPT_consistency": "Medium Dense",
                    "soil_description": "Medium dense SAND",
                    "USCS_groupSymbol": null,
                    "USCS_groupName": null
                }
            ],
            "groundwater": {
                "depth_category": 0,
                "depth_label": "Shallow (≤10 ft)",
                "depth_probabilities": {
                    "shallow": 65.2,
                    "medium": 28.4,
                    "deep": 6.4
                },
                "deviation_category": 0,
                "deviation_label": "Low (≤5 ft variation)",
                "deviation_probabilities": {
                    "low": 72.1,
                    "moderate": 21.3,
                    "high": 6.6
                }
            }
        }
    ],
    "disclaimer": "The information provided by this API has been made available by various DOTs and other public agencies. The predictive models presented herein are based on machine learning tools applied to the data. The predicted subsurface conditions are a probabilistic model and do not depict the actual conditions at the site. No claim as to the accuracy of the data and predictive model is made or implied. No other representation, expressed or implied, is included or intended and no warranty or guarantee is included or intended in any Geosetta data or models. The User understands these limitations and that Geosetta is a tool for planning subsurface investigations and not a substitute for it. In no event shall Geosetta or the Data Owners be liable to the User or another Party for any incidental, consequential, special, exemplary or indirect damages, lost business profits or lost data arising out of or in any way related to the use of information or data obtained from the Geosetta.org website or API."
}

This endpoint generates a link to geosetta that will show provided project data alongside public history in geosetta for visualization.

  api_key = "your_api_key_here"

  # Your payload and API key
  json_payload = {
      "deliverableType": "Project_Link",
      "data": {
    "type": "FeatureCollection",
    "features": [
      {
        "type": "Feature",
        "geometry": {
          "coordinates": [
            [
              [
                -123.119842,
                49.323426
              ],
              [
                -123.117503,
                49.323421
              ],
              [
                -123.117524,
                49.322477
              ],
              [
                -123.118871,
                49.322239
              ],
              [
                -123.120083,
                49.322294
              ],
              [
                -123.119842,
                49.323426
              ]
            ]
          ],
          "type": "Polygon"
        },
        "properties": {
          "Project Title": "RSLog Example Project #1 (Imperial) ",
          "Project Number": "EX20-001",
          "Client": "ABC Client Company Ltd."
        }
      },
      {
        "type": "Feature",
        "geometry": {
          "coordinates": [
            -123.11768,
            49.32323
          ],
          "type": "Point"
        },
        "properties": {
          "Name": "AH20-4a",
          "Depth": "13 ft",
          "Groundwater Depth": "",
          "Project Ref.": "RSLog Example Project #1 (Imperial)  (EX20-001)"
        }
      },
      {
        "type": "Feature",
        "geometry": {
          "coordinates": [
            -123.11934,
            49.32298
          ],
          "type": "Point"
        },
        "properties": {
          "Name": "testy",
          "Depth": "1 ft",
          "Groundwater Depth": "",
          "Project Ref.": "RSLog Example Project #1 (Imperial)  (EX20-001)"
        }
      },
      {
        "type": "Feature",
        "geometry": {
          "coordinates": [
            -123.11843,
            49.3227
          ],
          "type": "Point"
        },
        "properties": {
          "Name": "AH21-01",
          "Depth": "38.5 ft",
          "Groundwater Depth": "",
          "Project Ref.": "RSLog Example Project #1 (Imperial)  (EX20-001)"
        }
      },
      {
        "type": "Feature",
        "geometry": {
          "coordinates": [
            -123.11978,
            49.32242
          ],
          "type": "Point"
        },
        "properties": {
          "Name": "AH20-3",
          "Depth": "30 ft",
          "Groundwater Depth": "16.2 ft",
          "Project Ref.": "RSLog Example Project #1 (Imperial)  (EX20-001)"
        }
      }
    ]
  }
  }
  
  
  # Make the request
  response = requests.post(
      "https://geosetta.org/web_map/api_key/",
      json={
          "json_data": json.dumps(json_payload)  # Encode the dictionary as a JSON string
      },
      headers={
          "Authorization": f"Bearer {api_key}"  # Set the API key in the Authorization header
      }
  )
  
  # Check the response
  if response.status_code == 200:
      print("API request successful:")
      print(response.json())
  else:
      print("API request failed:")
      print(f"Status code: {response.status_code}")
      print(response.text)

The server will respond with a JSON object like this:

{'message': 'Data processed successfully.', 'results': 'https://geosetta.org/web_map/map/jqM826', 'disclaimer': 'The information provided by this API has been made available by various DOTs and other public agencies. The predictive models presented herein are based on machine learning tools applied to the data. The predicted subsurface conditions are a probabilistic model and do not depict the actual conditions at the site. No claim as to the accuracy of the data and predictive model is made or implied. No other representation, expressed or implied, is included or intended and no warranty or guarantee is included or intended in any Geosetta data or models. The User understands these limitations and that Geosetta is a tool for planning subsurface investigations and not a substitute for it. In no event shall Geosetta or the Data Owners be liable to the User or another Party for any incidental, consequential, special, exemplary or indirect damages, lost business profits or lost data arising out of or in any way related to the use of information or data obtained from the Geosetta.org website or API.'}

API endpoint retrieves the distance from a pre-trained point. It's important to note that not all data on Geosetta has been included in the training process. Therefore, the distance provided is relative to the nearest location that has been used in our training dataset.

  api_key = "your_api_key_here"

  # Your payload and API key
  json_payload = {
      "deliverableType": "Distance_From_Trained_Point",
      "data": {
          "points": [
              {
                  "latitude":   39.387080,
                  "longitude": -76.813480,
                  "depth": 50
              },
              {
                  "latitude": 39.4,
                  "longitude": -76.8,
                  "depth": 30
              }
          ]
      }
  }
  
  
  # Make the request
  response = requests.post(
      "https://geosetta.org/web_map/api_key/",
      json={
          "json_data": json.dumps(json_payload)  # Encode the dictionary as a JSON string
      },
      headers={
          "Authorization": f"Bearer {api_key}"  # Set the API key in the Authorization header
      }
  )
  
  # Check the response
  if response.status_code == 200:
      print("API request successful:")
      print(response.json())
  else:
      print("API request failed:")
      print(f"Status code: {response.status_code}")
      print(response.text)

The server will respond with a JSON object like this:

{'message': 'Data processed successfully.', 'results': {'minimum_distance_from_trained_point_(mi)': 2.13}, 'disclaimer': 'The information provided by this API has been made available by various DOTs and other public agencies. The predictive models presented herein are based on machine learning tools applied to the data. The predicted subsurface conditions are a probabilistic model and do not depict the actual conditions at the site. No claim as to the accuracy of the data and predictive model is made or implied. No other representation, expressed or implied, is included or intended and no warranty or guarantee is included or intended in any Geosetta data or models. The User understands these limitations and that Geosetta is a tool for planning subsurface investigations and not a substitute for it. In no event shall Geosetta or the Data Owners be liable to the User or another Party for any incidental, consequential, special, exemplary or indirect damages, lost business profits or lost data arising out of or in any way related to the use of information or data obtained from the Geosetta.org website or API.'}