Home
France Feeds
le-bus-pam
Source Data Validation Report

le-bus-pam — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-10T12:42:08Z,
for the dataset file:///shared/le-bus-pam_fedba91c.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A: Publisher URL:
N/A: Feed Email:
N/A: Feed Language:
N/A: Service Window:
N/A (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
calendar_dates.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt
trips_extensions.txt

Counts

Agencies: 0
Blocks: 0
Routes: 5
Shapes: 8
Stops: 283
Trips: 36

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

ShapesRoute ColorsHeadsignsLocation Types

Specification Compliance report

851 notices reported (149 errors, 697 warnings, 5 infos)

Notice Code Severity Total

equal_shape_distance_diff_coordinates ERROR 70

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 70 affected records are displayed below.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.	actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"c14c058cc6eb178b1fb03a905bfd1af1"	51	2	50	1	812.7506609828905
"c14c058cc6eb178b1fb03a905bfd1af1"	52	3	51	2	890.7381007151405
"c14c058cc6eb178b1fb03a905bfd1af1"	53	4	52	3	6399.974805312274
"c14c058cc6eb178b1fb03a905bfd1af1"	54	5	53	4	1538.2315101745376
"c14c058cc6eb178b1fb03a905bfd1af1"	55	6	54	5	2736.479332056144
"c14c058cc6eb178b1fb03a905bfd1af1"	56	7	55	6	2498.7511188772755
"c14c058cc6eb178b1fb03a905bfd1af1"	57	8	56	7	642.6874122549156
"c14c058cc6eb178b1fb03a905bfd1af1"	58	9	57	8	1375.13155302013
"c14c058cc6eb178b1fb03a905bfd1af1"	59	10	58	9	3772.7464449634135
"019b8101568e45a5c8e5a31a8ff0faa9"	3	2	2	1	315.92066752758785
"019b8101568e45a5c8e5a31a8ff0faa9"	4	3	3	2	399.66010099294834
"019b8101568e45a5c8e5a31a8ff0faa9"	5	4	4	3	5152.189034059867
"019b8101568e45a5c8e5a31a8ff0faa9"	6	5	5	4	1438.389495671889
"019b8101568e45a5c8e5a31a8ff0faa9"	7	6	6	5	1934.5854315752524
"019b8101568e45a5c8e5a31a8ff0faa9"	8	7	7	6	2071.7558750990916
"019b8101568e45a5c8e5a31a8ff0faa9"	9	8	8	7	1416.2072979372547
"019b8101568e45a5c8e5a31a8ff0faa9"	10	9	9	8	224.44151136687896
"019b8101568e45a5c8e5a31a8ff0faa9"	11	10	10	9	1984.3670335498093
"2a85928188b47be67aab36e8b5bdaf4f"	13	2	12	1	3772.746444963413
"2a85928188b47be67aab36e8b5bdaf4f"	14	3	13	2	1375.13155302013
"2a85928188b47be67aab36e8b5bdaf4f"	15	4	14	3	12228.973749033112
"2a85928188b47be67aab36e8b5bdaf4f"	16	5	15	4	13816.245299475317
"2a85928188b47be67aab36e8b5bdaf4f"	17	6	16	5	2736.479332056144
"2a85928188b47be67aab36e8b5bdaf4f"	18	7	17	6	1538.2315101745378
"2a85928188b47be67aab36e8b5bdaf4f"	19	8	18	7	6399.974805312274
"2a85928188b47be67aab36e8b5bdaf4f"	20	9	19	8	890.7381007151405
"2a85928188b47be67aab36e8b5bdaf4f"	21	10	20	9	812.7506609828905
"c0f87a32a7984849ad70778d2c0bdd0a"	41	2	40	1	1984.3670335498093
"c0f87a32a7984849ad70778d2c0bdd0a"	42	3	41	2	224.44151136687896
"c0f87a32a7984849ad70778d2c0bdd0a"	43	4	42	3	1416.2072979372547
"c0f87a32a7984849ad70778d2c0bdd0a"	44	5	43	4	2071.7558750990916
"c0f87a32a7984849ad70778d2c0bdd0a"	45	6	44	5	1934.5854315752524
"c0f87a32a7984849ad70778d2c0bdd0a"	46	7	45	6	1438.389495671889
"c0f87a32a7984849ad70778d2c0bdd0a"	47	8	46	7	5152.189034059867
"c0f87a32a7984849ad70778d2c0bdd0a"	48	9	47	8	379.1041178321885
"c0f87a32a7984849ad70778d2c0bdd0a"	49	10	48	9	319.38512972331984
"fd5c731da7e294d4267debe7dca8cc49"	71	2	70	1	2421.285739891615
"fd5c731da7e294d4267debe7dca8cc49"	72	3	71	2	727.7743186588343
"fd5c731da7e294d4267debe7dca8cc49"	73	4	72	3	4819.451250478499
"fd5c731da7e294d4267debe7dca8cc49"	74	5	73	4	2141.453057978881
"fd5c731da7e294d4267debe7dca8cc49"	75	6	74	5	199.66831502038684
"fd5c731da7e294d4267debe7dca8cc49"	76	7	75	6	621.8486010821176
"fd5c731da7e294d4267debe7dca8cc49"	77	8	76	7	255.60883431394907
"fd5c731da7e294d4267debe7dca8cc49"	78	9	77	8	525.6357188313194
"fd5c731da7e294d4267debe7dca8cc49"	79	10	78	9	315.92066752758785
"a63aa0200bdde09a8c669523c66acb7f"	32	2	31	1	1435.8357777612382
"a63aa0200bdde09a8c669523c66acb7f"	33	3	32	2	226.86434864062002
"a63aa0200bdde09a8c669523c66acb7f"	34	4	33	3	460.57262624113315
"a63aa0200bdde09a8c669523c66acb7f"	35	5	34	4	4682.994079363758
"a63aa0200bdde09a8c669523c66acb7f"	36	6	35	5	1438.389495671889

missing_required_field ERROR 47

missing_required_field

A required field is missing.

The given field has no value in some input row, even though values are required.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) The name of the missing field.
"agency.txt"	2	"agency_url"
"agency.txt"	2	"agency_timezone"
"calendar.txt"	2	"sunday"
"calendar.txt"	3	"saturday"
"calendar.txt"	3	"sunday"
"calendar.txt"	4	"monday"
"calendar.txt"	4	"tuesday"
"calendar.txt"	4	"wednesday"
"calendar.txt"	4	"thursday"
"calendar.txt"	4	"friday"
"calendar.txt"	4	"sunday"
"calendar.txt"	5	"monday"
"calendar.txt"	5	"tuesday"
"calendar.txt"	5	"thursday"
"calendar.txt"	5	"friday"
"calendar.txt"	5	"saturday"
"calendar.txt"	5	"sunday"
"calendar.txt"	6	"monday"
"calendar.txt"	6	"tuesday"
"calendar.txt"	6	"wednesday"
"calendar.txt"	6	"thursday"
"calendar.txt"	6	"friday"
"calendar.txt"	6	"sunday"
"calendar.txt"	7	"monday"
"calendar.txt"	7	"wednesday"
"calendar.txt"	7	"thursday"
"calendar.txt"	7	"friday"
"calendar.txt"	7	"saturday"
"calendar.txt"	7	"sunday"
"calendar.txt"	8	"monday"
"calendar.txt"	8	"tuesday"
"calendar.txt"	8	"wednesday"
"calendar.txt"	8	"friday"
"calendar.txt"	8	"saturday"
"calendar.txt"	8	"sunday"
"calendar.txt"	9	"tuesday"
"calendar.txt"	9	"wednesday"
"calendar.txt"	9	"thursday"
"calendar.txt"	9	"friday"
"calendar.txt"	9	"saturday"
"calendar.txt"	9	"sunday"
"calendar.txt"	10	"monday"
"calendar.txt"	10	"tuesday"
"calendar.txt"	10	"wednesday"
"calendar.txt"	10	"thursday"
"calendar.txt"	10	"saturday"
"calendar.txt"	10	"sunday"

point_near_origin ERROR 32

point_near_origin

A point is too close to origin (0, 0).

You can see more about this notice here.

filename (?) The name of the affected GTFS file.	csvRowNumber (?) The row of the faulty row.	entityId (?) The id of the faulty entity.	latFieldName (?) The name of the field that uses latitude value.	lonFieldName (?) The name of the field that uses longitude value.
"stops.txt"	2	"BXRM"	"stop_lat"	"stop_lon"
"stops.txt"	7	"STA-SAIZERAIS-ECOLE-MAT"	"stop_lat"	"stop_lon"
"stops.txt"	13	"5"	"stop_lat"	"stop_lon"
"stops.txt"	27	"19"	"stop_lat"	"stop_lon"
"stops.txt"	79	"80"	"stop_lat"	"stop_lon"
"stops.txt"	117	"123"	"stop_lat"	"stop_lon"
"stops.txt"	118	"124"	"stop_lat"	"stop_lon"
"stops.txt"	119	"125"	"stop_lat"	"stop_lon"
"stops.txt"	120	"126"	"stop_lat"	"stop_lon"
"stops.txt"	121	"127"	"stop_lat"	"stop_lon"
"stops.txt"	122	"128"	"stop_lat"	"stop_lon"
"stops.txt"	123	"130"	"stop_lat"	"stop_lon"
"stops.txt"	124	"131"	"stop_lat"	"stop_lon"
"stops.txt"	125	"132"	"stop_lat"	"stop_lon"
"stops.txt"	126	"133"	"stop_lat"	"stop_lon"
"stops.txt"	127	"134"	"stop_lat"	"stop_lon"
"stops.txt"	128	"139"	"stop_lat"	"stop_lon"
"stops.txt"	129	"141"	"stop_lat"	"stop_lon"
"stops.txt"	130	"143"	"stop_lat"	"stop_lon"
"stops.txt"	131	"144"	"stop_lat"	"stop_lon"
"stops.txt"	132	"145"	"stop_lat"	"stop_lon"
"stops.txt"	133	"146"	"stop_lat"	"stop_lon"
"stops.txt"	134	"147"	"stop_lat"	"stop_lon"
"stops.txt"	135	"148"	"stop_lat"	"stop_lon"
"stops.txt"	136	"149"	"stop_lat"	"stop_lon"
"stops.txt"	137	"150"	"stop_lat"	"stop_lon"
"stops.txt"	138	"151"	"stop_lat"	"stop_lon"
"stops.txt"	141	"154"	"stop_lat"	"stop_lon"
"stops.txt"	142	"155"	"stop_lat"	"stop_lon"
"stops.txt"	143	"156"	"stop_lat"	"stop_lon"
"stops.txt"	144	"157"	"stop_lat"	"stop_lon"
"stops.txt"	145	"158"	"stop_lat"	"stop_lon"

missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"

missing_timepoint_value WARNING 348

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 348 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record.	tripId (?) The faulty record's `stop_times.trip_id`.	stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2	"TAD C-1 PV"	1
3	"TAD C-1 PV"	2
4	"TAD C-1 PV"	3
5	"TAD C-1 PV"	4
6	"TAD C-1 PV"	5
7	"TAD C-1 PV"	6
8	"TAD C-1 PV"	7
9	"TAD C-1 PV"	8
10	"TAD C-1 PV"	9
11	"TAD C-2 PV"	1
12	"TAD C-2 PV"	2
13	"TAD C-2 PV"	3
14	"TAD C-2 PV"	4
15	"TAD C-2 PV"	5
16	"TAD C-2 PV"	6
17	"TAD C-2 PV"	7
18	"TAD C-2 PV"	8
19	"TAD C-2 PV"	9
20	"TAD C-101 PV"	1
21	"TAD C-101 PV"	2
22	"TAD C-101 PV"	3
23	"TAD C-101 PV"	4
24	"TAD C-101 PV"	5
25	"TAD C-101 PV"	6
26	"TAD C-101 PV"	7
27	"TAD C-101 PV"	8
28	"TAD C-101 PV"	9
29	"TAD C-102 PV"	1
30	"TAD C-102 PV"	2
31	"TAD C-102 PV"	3
32	"TAD C-102 PV"	4
33	"TAD C-102 PV"	5
34	"TAD C-102 PV"	6
35	"TAD C-102 PV"	7
36	"TAD C-102 PV"	8
37	"TAD C-102 PV"	9
38	"TAD C-1"	1
39	"TAD C-1"	2
40	"TAD C-1"	3
41	"TAD C-1"	4
42	"TAD C-1"	5
43	"TAD C-1"	6
44	"TAD C-1"	7
45	"TAD C-1"	8
46	"TAD C-1"	9
47	"TAD C-2"	1
48	"TAD C-2"	2
49	"TAD C-2"	3
50	"TAD C-2"	4
51	"TAD C-2"	5

mixed_case_recommended_field WARNING 14

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
`Field Text`	`Dataset`
"Schwerin, Hauptbahnhof"	Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin"	NYC Ferry
"Campo Grande Norte"	Carris

Bad examples:
`Field Text`
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file.	fieldName (?) Name of the faulty field.	fieldValue (?) Faulty value.	csvRowNumber (?) The row number of the faulty record.
"stops.txt"	"stop_name"	"SAIZERAIS ECOLE PRIMAIRE"	4
"stops.txt"	"stop_name"	"SAIZERAIS ECOLE PRIMAIRE"	8
"stops.txt"	"stop_name"	"CHAMPEY ferme"	41
"stops.txt"	"stop_name"	"DIEULOUARD - CES"	44
"stops.txt"	"stop_name"	"LESMENILS ZA"	85
"stops.txt"	"stop_name"	"CHAMPEY ferme"	182
"stops.txt"	"stop_name"	"DIEULOUARD - CES"	185
"stops.txt"	"stop_name"	"LESMENILS ZA"	225
"trips.txt"	"trip_headsign"	"TAD D-1 PAM"	14
"trips.txt"	"trip_headsign"	"TAD D-2 PAM"	15
"trips.txt"	"trip_short_name"	"TAD D-2 PAM"	15
"trips.txt"	"trip_headsign"	"TAD D PAM -101"	16
"trips.txt"	"trip_headsign"	"TAD D PAM -102"	17
"routes.txt"	"route_long_name"	"TAD D' DIEULOUARD"	4

non_ascii_or_non_printable_char WARNING 226

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 226 affected records are displayed below.

filename (?) Name of the faulty file.	csvRowNumber (?) Row number of the faulty record.	columnName (?) Name of the column where the error occurred.	fieldValue (?) Faulty value.
"trips.txt"	2	"service_id"	"LàS PERIODE VACANCES"
"trips.txt"	3	"service_id"	"LàS PERIODE VACANCES"
"trips.txt"	4	"service_id"	"LàS PERIODE VACANCES"
"trips.txt"	5	"service_id"	"LàS PERIODE VACANCES"
"calendar.txt"	2	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	2	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	3	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	4	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	5	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	6	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	7	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	8	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	9	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	10	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	11	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	12	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	13	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	14	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	15	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	16	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	17	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	18	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	19	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	20	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	21	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	22	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	23	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	24	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	25	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	26	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	27	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	28	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	29	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	30	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	31	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	32	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	33	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	34	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	35	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	36	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	37	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	38	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	39	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	40	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	41	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	42	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	43	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	44	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	45	"service_id"	"LàS PERIODE VACANCES"
"calendar_dates.txt"	46	"service_id"	"LàS PERIODE VACANCES"

stop_without_stop_time WARNING 108

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 108 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
3	"ROSIERES EN HAYE Rue du Four"	"ROSIERES EN HAYE Rue du Four"
4	"SAIZERAIS ECOLE PRIMAIRE"	"SAIZERAIS ECOLE PRIMAIRE"
5	"SAIZERAIS Ecole mat"	"SAIZERAIS Ecole maternelle"
146	"159"	"MAIDIERES - Casenove"
147	"160"	"MAIDIERES - Casenove"
149	"162"	"DIEULOUARD - Salle des Fêtes"
150	"163"	"BLENOD - La Poste"
151	"164"	"BLENOD - La Poste"
152	"165"	"VANDIERES - Libération"
153	"166"	"VANDIERES - Libération"
154	"167"	"PAM - Saint François"
155	"168"	"PAM - Saint François"
156	"169"	"PAM - Nobel"
157	"170"	"PAGNY - Anatole France"
158	"172"	"ATTON Mansuy"
159	"173"	"ATTON Scarponne"
160	"174"	"ATTON Stade"
161	"175"	"ATTON ZI Halamblois"
162	"176"	"ATTON ZI Pierre ADT"
163	"177"	"AUTREVILLE"
164	"178"	"MORVILLE - Bel Louis"
165	"179"	"BELLEVILLE Cabirol"
166	"180"	"BELLEVILLE Gare SNCF"
167	"181"	"BELLEVILLE La Forêt"
168	"182"	"BELLEVILLE La Poste"
169	"183"	"BLENOD Bertelle"
172	"186"	"NORROY Biquillon"
173	"187"	"BLENOD Hôtel de Ville"
175	"189"	"MAIDIERES - Boozeville"
176	"190"	"BOUXIERES Bas "
179	"193"	"BLENOD - Cartonnerie"
180	"194"	"MAIDIERES - Centre de Recherches"
181	"195"	"PAM - Centre des Sports"
182	"196"	"CHAMPEY ferme"
185	"202"	"DIEULOUARD - CES"
186	"205"	"DIEULOUARD Gare SNCF"
187	"206"	"PAGNY - Dr Jean Claude"
188	"207"	"PAM - Ecole Nikki St Phalle"
189	"208"	"BLENOD - Ecole Aragon"
190	"209"	"BELLEVILLE - Ecole"
191	"210"	"JEZAINVILLE - Ecole"
192	"211"	"MONTAUVILLE - Ecole"
193	"212"	"NORROY - Ecole"
194	"213"	"PAM - Ecole Procheville"
195	"214"	"VANDIERES - Ecole"
196	"215"	"PAM - Ecole Guynemer"
197	"216"	"PAM - Piscine (Ecoles)"
198	"217"	"PAM - Ecole Pompidou"
199	"219"	"PAM - Etats Unis"
200	"220"	"PAM - Europe"

unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"trips_extensions.txt"

unused_station INFO 4

unused_station

Unused station.

A stop has location_type STATION (1) but does not appear in any stop's parent_station.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
2	"BXRM"	"BOUXIERES Mairie"
16	"8"	"ATTON Mairie"
45	"40"	"BLENOD - CES Van Gogh"
96	"101"	"ATTON - Ecole"