# 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 format - `video_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 level - `iso`: Camera ISO setting - `shutter`: Shutter speed value - `fnum`: Aperture f-number - `ev`: Exposure value - `ct`: Color temperature - `color_md`: Color mode descriptor - `focal_len`: Lens focal length in millimeters - `dzoom_ratio`: Digital zoom ratio - `xtl`, `ytl`, `xbr`, `ybr`: Bounding box coordinates (top-left and bottom-right) - `z_order_x`, `z_order_y`: Display depth ordering for overlapping annotations - `label`: Object class label (e.g., "zebra", "giraffe") - `source`: Annotation source - `keyframe_x`, `keyframe_y`: Whether frame is a tracking keyframe - `outside_x`, `outside_y`: Whether object is outside frame bounds - `occluded_x`, `occluded_y`: Whether object is occluded - `points`: Polygon points for behavioral sequences - `behaviour`: 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 video - `maximumElevationInMeters`: Maximum altitude during video - `footprintWKT`: 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 ```json { "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 precision - `minimumElevationInMeters`: Minimum altitude across all videos - `maximumElevationInMeters`: Maximum altitude across all videos - `footprintWKT`: Session bounding box in WKT format - `locationID`: "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 description - `sampleSizeValue`: Empty (intended for area surveyed) - `sampleSizeUnit`: "minutes" - `samplingEffort`: Number and description of video segments **Taxonomic Information:** - `organismQuantity`: Number of individual animals observed - `organismQuantityType`: "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 ```json { "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 description - `eco:protocolReferences`: "https://doi.org/10.48550/arXiv.2510.02030" - `eco:isAbundanceReported`: True - `eco:isAbundanceCapReported`: False - `eco:abundanceUnit`: "individuals" - `eco:isVegetationCoverReported`: True/False - `eco:vegetationCoverUnit`: "Bitterlich score (0-10 scale)" (when applicable) - `eco:isTaxonCompletenessReported`: True - `eco:taxonCompletenessProtocols`: "All visible target taxa annotated in video frames with bounding boxes" - `eco:isAbsenceReported`: False - `eco:hasNonTargetTaxa`: Empty - `eco:nonTargetTaxa`: Empty - `eco:targetTaxonomicScope`: Scientific names of target species - `eco:excludedTaxonomicScope`: Empty - `eco:samplingPerformedBy`: Empty - `eco:siteCount`: 1 - `eco: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:** ```bash 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 boxes - `actions/*.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:** ```bash 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:** ```bash 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:** ```bash 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 1. **Field Collection**: Drone flights with video recording 2. **Video Processing**: Frame extraction and annotation 3. **Telemetry Extraction**: SRT files parsed for GPS and camera metadata 4. **Annotation**: Detection boxes and behavior labels added 5. **Merging** (`merge_behavior_telemetry.py`): Combine all data sources 6. **Event Creation**: Generate Darwin Core event records 7. **Metadata Enhancement**: - Add associatedMedia paths (`update_video_events.py`) - Add temporal bounds (`add_event_times.py`) - Add GPS statistics (`add_gps_data.py`) --- ## 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](https://github.com/Imageomics/kabr-behavior-telemetry)