Dataset Viewer
Auto-converted to Parquet Duplicate
bridge_id
stringlengths
8
22
latitude
float64
-8.5
98.2
longitude
float64
-179.54
99.3
elevation_m
float64
-71
5.4k
01_000_00000000000S701
31.103333
-87.57
91
01_000_0000000000M0022
32.365556
-84.959444
112
01_000_CEPSAMAL0000001
33.45
-87.35
147
01_000_CEPSAMAL0000002
33.158333
-88.27
47
01_000_CEPSAMAL0000003
32.375
-86.783333
40
01_000_DAPAMCANN0000H5
33.641353
-85.921381
183
01_000_DAPAMCRED000001
34.66
-86.605
177
01_000_DAPAMCRED000002
34.653333
-86.613333
175
01_000_DAPAMCRED000003
34.65
-86.616667
173
01_000_DAPAMCRED000004
34.618333
-86.63
182
01_000_DAPAMCRED000005
34.595
-86.6
181
01_000_DAPAMCRED000006
34.626667
-86.63
171
01_000_DAPAMCRED000010
34.646667
-86.653333
184
01_000_DAPAMCRED000012
34.645
-86.685
176
01_000_DAPAMCRED000013
34.641667
-86.691667
179
01_000_DAPAMCRED000014
34.645
-86.698333
170
01_000_DAPAMCRED000015
34.618333
-86.665
171
01_000_DAPAMCRED000016
34.615
-86.698333
167
01_000_DAPAMCRED000017
34.655
-86.653333
193
01_000_DAPAMCRED000018
34.668333
-86.663333
199
01_000_DAPAMCRED000019
34.671667
-86.671667
189
01_000_DAPAMCRED000021
34.668333
-86.698333
181
01_000_DAPAMCRED000022
34.698333
-86.625
191
01_000_DAPAMCRED000023
34.673333
-86.621667
180
01_000_DAPAMCRED000024
34.678333
-86.62
179
01_000_DAPAMCRED000028
34.698333
-86.625
191
01_001_000328
32.65
-86.483333
117
01_001_001539
32.45
-86.466667
59
01_001_001907
32.616153
-86.728767
85
01_001_001908
32.6
-86.716667
104
01_001_001909
32.610272
-86.718003
93
01_001_001910
32.574586
-86.683294
85
01_001_001911
32.568261
-86.675786
82
01_001_002296
32.416667
-86.516667
59
01_001_002632
32.490061
-86.453533
115
01_001_002736
32.47
-86.490278
63
01_001_002737
32.45
-86.466667
59
01_001_002772
32.45
-86.466667
59
01_001_002951
32.5
-86.533333
83
01_001_003041
32.456667
-86.778333
83
01_001_003042
32.45
-86.733333
75
01_001_003529
32.535767
-86.866619
66
01_001_003747
32.65
-86.733333
106
01_001_003779
32.6
-86.583333
119
01_001_004008
32.433333
-86.45
88
01_001_004760
32.425628
-86.412269
56
01_001_004761
32.425653
-86.411719
54
01_001_005074
32.433333
-86.45
88
01_001_005258
32.533333
-86.516667
121
01_001_005427
32.55
-86.8
71
01_001_005428
32.579
-86.796544
82
01_001_005475
32.574256
-86.681825
87
01_001_005503
32.6
-86.666667
99
01_001_005504
32.6
-86.683333
123
01_001_005803
32.433333
-86.45
88
01_001_005804
32.438333
-86.44
90
01_001_005805
32.438333
-86.433333
83
01_001_006191
32.5
-86.583333
84
01_001_006192
32.483333
-86.55
147
01_001_006248
32.416667
-86.5
63
01_001_006249
32.666667
-86.683333
116
01_001_006277
32.596517
-86.869092
83
01_001_006649
32.666667
-86.433333
157
01_001_006650
32.688469
-86.415186
112
01_001_006776
32.65
-86.483333
117
01_001_006777
32.656111
-86.521389
164
01_001_006778
32.665
-86.503333
132
01_001_006779
32.666667
-86.5
149
01_001_006969
32.7
-86.65
142
01_001_006970
32.633333
-86.666667
100
01_001_006971
32.633333
-86.666667
100
01_001_006972
32.633333
-86.666667
100
01_001_007024
32.5
-86.7
87
01_001_007025
32.5
-86.7
87
01_001_007026
32.5
-86.7
87
01_001_007027
32.568928
-86.511214
100
01_001_007066
32.572044
-86.504789
104
01_001_007361
32.654356
-86.585342
135
01_001_007898
32.383333
-86.783333
58
01_001_007938
32.463978
-86.638858
62
01_001_007990
32.525
-86.4
128
01_001_008262
32.409278
-86.786461
50
01_001_008335
32.416667
-86.55
86
01_001_008557
32.566667
-86.466667
181
01_001_008558
32.6
-86.466667
175
01_001_008559
32.623258
-86.488444
198
01_001_008660
32.549431
-86.457753
155
01_001_009760
32.616997
-86.424947
104
01_001_009761
32.6
-86.4
103
01_001_010062
32.65795
-86.492919
126
01_001_010077
32.583333
-86.4
145
01_001_010330
32.670206
-86.680406
107
01_001_010331
32.670528
-86.679828
108
01_001_010674
32.515
-86.43
126
01_001_010675
32.516747
-86.433439
127
01_001_010676
32.539444
-86.462222
179
01_001_011254
32.55
-86.6
128
01_001_011436
32.55
-86.833333
119
01_001_011577
32.6
-86.866667
102
01_001_011837
32.633333
-86.666667
100
End of preview. Expand in Data Studio

Bridgedeck — USGS Elevation at Bridge Locations (3DEP)

Part of the bridgedeck dataset collection for US bridge deck deterioration research.

⚠️ Pipeline dependency — This dataset contains pre-queried elevation values for all US bridge locations. It is shared to avoid re-running ~900k API calls. It is not a primary research dataset. See sweetapricity/bridgedeck-nbi for the main bridge dataset.

Overview

Elevation above sea level (metres, NAVD88) queried at each unique US bridge location from the USGS 3D Elevation Program (3DEP) via the Elevation Point Query Service (EPQS). Elevation is a proxy for several deterioration-relevant factors:

  • High elevation → more freeze-thaw cycles, more snow/ice, more deicing salt use
  • Low elevation → more flood exposure, higher humidity
  • Coastal low elevation → marine chloride exposure

Source

Source: USGS 3D Elevation Program (3DEP) API: USGS Elevation Point Query Service — https://apps.nationalmap.gov/epqs/ Resolution: 1/3 arc-second (~10m), NAVD88 vertical datum Coverage: CONUS + AK + HI

Contents

File Description
elevation_bridge_points.csv Elevation (metres) at each unique bridge lat/lon

Schema

Column Type Description
bridge_id str {state_fips}_{county_fips}_{structure_number} — joins to NBI
latitude float Bridge latitude (WGS-84)
longitude float Bridge longitude (WGS-84)
elevation_m float Elevation above sea level (metres, NAVD88)

Features Derived

After running make etl-elevation, the following features are added to the panel:

Feature Description
elevation_m Elevation above sea level (metres)
elevation_class Categorical: low (<100m), medium (100–500m), high (>500m)

How It's Used

The bridgedeck ETL script src/bridgedeck/etl/elevation_clean.py reads this CSV and produces data/interim/elevation/elevation_features.parquet — one row per bridge.

This file is provided pre-queried to avoid re-running 900k USGS API calls (15-20 min with 20 concurrent workers). Collaborators can use it directly by running make etl-elevation after downloading from HF.

Related Datasets

Repo Type Description
sweetapricity/bridgedeck-nbi Primary National Bridge Inventory — structural features
sweetapricity/bridgedeck-prism Primary PRISM climate features
sweetapricity/bridgedeck-noaa Primary NOAA storm event counts
sweetapricity/bridgedeck-nshm Primary USGS seismic hazard
sweetapricity/bridgedeck-salt Primary USGS road salt tiers
sweetapricity/bridgedeck-coastal Dependency Natural Earth coastline reference
sweetapricity/bridgedeck-elevation Dependency This dataset — USGS elevation at bridge locations
Downloads last month
21