KABR Behavior Telemetry Data Dictionary
This document provides detailed descriptions of all data files and their fields in the KABR Behavior Telemetry dataset.
Dataset Files
Core Data Files
data/occurrences/
Frame-by-frame occurrence records for each video, combining detection tracks, behavior annotations, and telemetry data.
Files: One CSV per video, named {date}-{video_id}.csv (e.g., 11_01_23-DJI_0977.csv)
Key Fields:
date: Recording date in DD_MM_YY formatvideo_id: DJI video identifier (e.g., DJI_0977)frame: Frame number in the video sequence (0-indexed)date_time: Timestamp in format "YYYY-MM-DD HH:MM:SS,milliseconds,microseconds"id: Mini-scene identifier (track ID for behavioral sequences)latitude: GPS latitude in decimal degrees (WGS84)longitude: GPS longitude in decimal degrees (WGS84)altitude: Altitude in meters above sea leveliso: Camera ISO settingshutter: Shutter speed valuefnum: Aperture f-numberev: Exposure valuect: Color temperaturecolor_md: Color mode descriptorfocal_len: Lens focal length in millimetersdzoom_ratio: Digital zoom ratioxtl,ytl,xbr,ybr: Bounding box coordinates (top-left and bottom-right)z_order_x,z_order_y: Display depth ordering for overlapping annotationslabel: Object class label (e.g., "zebra", "giraffe")source: Annotation sourcekeyframe_x,keyframe_y: Whether frame is a tracking keyframeoutside_x,outside_y: Whether object is outside frame boundsoccluded_x,occluded_y: Whether object is occludedpoints: Polygon points for behavioral sequencesbehaviour: Behavioral classification (e.g., "walking", "grazing", "running")
Record Count: Varies by video; typically 10,000-66,000 frames per video Coverage: 47 videos with complete data Missing Values: Frames without detections/annotations have null values for annotation fields
data/video_events.csv
Darwin Core Event records for individual video recordings.
Record Count: 68 videos (47 with occurrence data)
Fields:
Identifiers:
eventID: Unique event identifier (format: "KABR-2023:{session}:{video_id}")parentEventID: Links to session_events (format: "KABR-2023:{session}")
Event Classification:
eventType: Type of sampling event ("video recording")eventDate: Recording date (ISO 8601: YYYY-MM-DD)eventTime: Video start time (HH:MM:SS)endTime: Video end time (HH:MM:SS)
Geographic Information:
decimalLatitude: Launch point latitude in decimal degrees (WGS84)decimalLongitude: Launch point longitude in decimal degrees (WGS84)geodeticDatum: Coordinate reference system ("WGS84")minimumElevationInMeters: Minimum altitude during videomaximumElevationInMeters: Maximum altitude during videofootprintWKT: Geographic bounding box in Well-Known Text format
Sampling Protocol:
samplingProtocol: "Continuous aerial video recording"
Associated Resources:
associatedMedia: JSON object with paths to detection and behavior annotation files{ "detection": "path/to/DJI_XXXX_tracks.xml", "behavior": ["path/to/trackID.xml", ...] }
Remarks:
eventRemarks: Description of video file (e.g., "Video file DJI_0977.MP4")
data/session_events.csv
Darwin Core Event records for field sessions (missions/flights).
Record Count: 17 sessions (14 with occurrence data)
Fields:
Identifiers and Classification:
eventID: Unique session identifier (format: "KABR-2023:{date}_{session}")parentEventID: Dataset identifier ("KABR-2023")eventType: Type of event ("drone survey")
Temporal Coverage:
eventDate: Session date (ISO 8601: YYYY-MM-DD)eventTime: Session start time (HH:MM:SS)endTime: Session end time (HH:MM:SS)year,month,day: Parsed date components
Geographic Coverage:
launchLatitude: Drone launch point latitude (from first video)launchLongitude: Drone launch point longitude (from first video)decimalLatitude: Latitude range across session "[min, max]"decimalLongitude: Longitude range across session "[min, max]"geodeticDatum: "WGS84"coordinateUncertaintyInMeters: GPS precisionminimumElevationInMeters: Minimum altitude across all videosmaximumElevationInMeters: Maximum altitude across all videosfootprintWKT: Session bounding box in WKT formatlocationID: "MPALA-KENYA"locality: "Mpala Research Centre"country: "Kenya"countryCode: "KE"
Habitat and Environment:
habitat: Habitat type description (e.g., "Open grassy habitat with some scattered bushes")
Sampling Details:
samplingProtocol: Detailed protocol descriptionsampleSizeValue: Empty (intended for area surveyed)sampleSizeUnit: "minutes"samplingEffort: Number and description of video segments
Taxonomic Information:
organismQuantity: Number of individual animals observedorganismQuantityType: "herd size"
Observations:
eventRemarks: Field notes and observations_species_common: Common name(s) of observed species_species_commonNames: Additional common names_n_individuals: Number of individuals_n_videos: Number of videos in session
Associated Data:
associatedMedia: JSON object listing videos, focal follows, and scan samples{ "video": ["DJI_0977", "DJI_0978", ...], "focal": [], "scan": [] }associatedReferences: Airdata telemetry file names_telemetry_file_raw: Raw telemetry file status notes
Ecological Extensions (Humboldt Eco):
eco:inventoryTypes: "restrictedSearch"eco:protocolNames: "KABR Drone Video Survey Protocol"eco:protocolDescriptions: Protocol descriptioneco:protocolReferences: "https://doi.org/10.48550/arXiv.2510.02030"eco:isAbundanceReported: Trueeco:isAbundanceCapReported: Falseeco:abundanceUnit: "individuals"eco:isVegetationCoverReported: True/Falseeco:vegetationCoverUnit: "Bitterlich score (0-10 scale)" (when applicable)eco:isTaxonCompletenessReported: Trueeco:taxonCompletenessProtocols: "All visible target taxa annotated in video frames with bounding boxes"eco:isAbsenceReported: Falseeco:hasNonTargetTaxa: Emptyeco:nonTargetTaxa: Emptyeco:targetTaxonomicScope: Scientific names of target specieseco:excludedTaxonomicScope: Emptyeco:samplingPerformedBy: Emptyeco:siteCount: 1eco:siteNestingDescription: "Single focal group follow per session"eco:verbatimSiteDescriptions: Empty
Quality Flags:
_needs_verification: Data quality flag
Scripts
scripts/merge_behavior_telemetry.py
Merges SRT metadata, detection tracks, and behavior annotations into occurrence files.
Usage:
python scripts/merge_behavior_telemetry.py \
--data_path /path/to/video/directories \
--outpath /path/to/output/ \
[--skip-airdata]
Arguments:
--data_path: Directory containing video folders (format: DATE-VIDEO_ID)--session_data_path: Path to SRT files (default: preset path)--flight_logs_path: Path to decrypted flight logs (default: preset path)--skip-airdata: Skip merging with flight log data--write: Whether to write output (default: True)--outpath: Output directory for CSV files
Input Requirements:
- Video directories with structure:
metadata/{video_id}_tracks.xml: Detection bounding boxesactions/*.xml: Behavior annotation files
- SRT files with GPS and camera metadata
- (Optional) Flight log CSV files with telemetry
Output:
- One CSV per video in occurrence format
scripts/update_video_events.py
Updates video_events.csv with associatedMedia paths to detection and behavior files.
Usage:
python scripts/update_video_events.py \
--video_events data/video_events.csv \
--data_path /path/to/video/directories \
[--output output_path.csv]
What it does:
- Scans video directories for detection and behavior annotation files
- Creates relative paths from kabr-behavior-telemetry/data to annotation files
- Updates associatedMedia field with JSON structure
scripts/add_event_times.py
Extracts start and end times from occurrence files and adds to video_events.csv.
Usage:
python scripts/add_event_times.py \
--video_events data/video_events.csv \
--occurrences data/occurrences/ \
[--output output_path.csv]
What it does:
- Reads date_time from first and last rows of each occurrence file
- Extracts time component (HH:MM:SS)
- Updates eventTime and endTime fields
scripts/add_gps_data.py
Extracts GPS statistics from occurrence files and adds to event files.
Usage:
python scripts/add_gps_data.py \
--video_events data/video_events.csv \
--session_events data/session_events.csv \
--occurrences data/occurrences/ \
[--output_video output_video.csv] \
[--output_session output_session.csv]
What it does:
For video_events.csv:
- Extracts launch point (first GPS coordinate)
- Calculates min/max lat/lon bounds
- Determines altitude range
- Creates WKT footprint
For session_events.csv:
- Uses first video's launch point as session launch
- Aggregates bounds across all videos in session
- Formats lat/lon as "[min, max]" ranges
- Creates session-level WKT footprint
Data Relationships
Hierarchical Structure
KABR-2023 (Dataset)
├── KABR-2023:11_01_23_session_1 (Session)
│ ├── KABR-2023:11_01_23_session_1:DJI_0488 (Video Event)
│ │ └── occurrences/11_01_23-DJI_0488.csv (Frame records)
│ └── ...
├── KABR-2023:11_01_23_session_2 (Session)
│ ├── KABR-2023:11_01_23_session_2:DJI_0977 (Video Event)
│ │ └── occurrences/11_01_23-DJI_0977.csv (Frame records)
│ └── ...
...
Linkages
- session_events ← linked by parentEventID ← video_events
- video_events ← associatedMedia paths ← annotation files
- video_events → referenced by occurrence files → occurrences/
Data Processing Pipeline
- Field Collection: Drone flights with video recording
- Video Processing: Frame extraction and annotation
- Telemetry Extraction: SRT files parsed for GPS and camera metadata
- Annotation: Detection boxes and behavior labels added
- Merging (
merge_behavior_telemetry.py): Combine all data sources - Event Creation: Generate Darwin Core event records
- Metadata Enhancement:
- Add associatedMedia paths (
update_video_events.py) - Add temporal bounds (
add_event_times.py) - Add GPS statistics (
add_gps_data.py)
- Add associatedMedia paths (
Darwin Core Compliance
This dataset follows Darwin Core standards (TDWG) with extensions for ecological inventory data (Humboldt Eco).
Core Classes:
- Event: Recording sessions and individual videos
- Occurrence: Frame-level animal detections (in occurrence files)
Key Standards:
- Temporal data in ISO 8601 format
- Coordinates in WGS84 decimal degrees
- Controlled vocabularies for taxonomic names
- Unique identifiers for all records
File Formats
CSV Files
- Encoding: UTF-8
- Delimiter: Comma (
,) - Quoting: Double quotes for fields containing delimiters
- Missing Values: Empty strings or
NaN
JSON Fields
- Structure: Valid JSON objects in CSV fields
- Encoding: Double-quotes escaped as
"" - Arrays: Square bracket notation
["item1", "item2"]
WKT (Well-Known Text)
- Format:
POLYGON((lon1 lat1, lon2 lat2, ...)) - Coordinate Order: Longitude first, then latitude
- Datum: WGS84 (EPSG:4326)
Quality Assurance
Known Limitations
Missing Occurrence Data: 21 videos lack occurrence files due to:
- Missing SRT files
- Corrupted source data
- Processing errors
- Empty annotations
GPS Accuracy: ±5-10 meters typical
Timestamp Precision: Millisecond resolution but may have ±1 second drift
Data Quality Flags
_needs_verification: Manual review recommended_telemetry_file_raw: Notes on telemetry file status
Version History
- v1.1 (2026-01-02): Added GPS data, event times, and occurrence files
- v1.0 (2024-12-31): Initial release with session and video events
Contact
For questions about this data:
- Email: kline.377@osu.edu
- Issues: GitHub repository