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updated readme

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  1. README.md +7 -7
README.md CHANGED
@@ -94,14 +94,14 @@ mission:
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  - **Repository:** [kabr-behavior-telemetry](https://github.com/Imageomics/kabr-behavior-telemetry)
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  - **Paper:** In preparation
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- This dataset provides frame-level integration of drone telemetry (GPS position, altitude, camera settings), animal detection bounding boxes, and expert-annotated behaviors from aerial wildlife monitoring in Kenyan savannas. Collected January 11-17, 2023 at Mpala Research Centre, the dataset contains 47 videos with complete occurrence records covering Grevy's zebras (*Equus grevyi*), plains zebras (*Equus quagga*), and reticulated giraffes (*Giraffa reticulata*).
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  The dataset was developed to analyze optimal drone flight parameters for wildlife behavior research—correlating altitude, speed, and camera settings with data quality and animal disturbance levels. It implements Darwin Core biodiversity standards with Humboldt Eco extensions for ecological inventory data, ensuring interoperability with biodiversity databases like GBIF.
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  Key features:
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- - **47 complete video occurrence files** with ~10,000-66,000 frames each
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  - **68 video-level Darwin Core events** with GPS bounds and temporal coverage
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- - **17 session-level events** aggregating mission-level metadata
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  - **Frame-synchronized data**: GPS coordinates, camera EXIF, detection boxes, behavior labels
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  - **Behavior ethogram**: Walking, running, grazing, vigilance, social interactions, and more
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  - **Multi-species coverage**: Three focal species across diverse habitats
@@ -136,12 +136,12 @@ This dataset supports computer vision, ecological analysis, and autonomous syste
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  ```
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  kabr-behavior-telemetry/
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  ├── data/
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- │ ├── occurrences/ # Frame-level occurrence records (47 videos)
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  │ │ ├── 11_01_23-DJI_0977.csv
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  │ │ ├── 11_01_23-DJI_0978.csv
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  │ │ └── ...
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  │ ├── video_events.csv # Darwin Core Event records (68 videos)
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- │ └── session_events.csv # Darwin Core Event records (17 sessions)
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  ├── scripts/
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  │ ├── merge_behavior_telemetry.py # Generate occurrence files
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  │ ├── update_video_events.py # Add annotation file paths
@@ -496,7 +496,7 @@ The dataset fills a critical gap: while many drone wildlife datasets provide det
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  **Technical Limitations:**
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  - **Image Quality:** Variable due to altitude, lighting, and atmospheric conditions
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- - **Coverage Gaps:** 21 videos lack occurrence data due to missing/corrupted SRT files or failed processing
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  - **Annotation Limitations:** Behavior labels are subjective; inter-observer agreement not quantified
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  - **GPS Accuracy:** ±5-10m typical; may drift during long flights
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@@ -646,7 +646,7 @@ Daniel Rubenstein (Princeton University) - ORCID: 0000-0002-8285-1233
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  **🌿 Darwin Core Validation:**
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  - [x] Event records complete and valid
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- - [x] Occurrence records complete and valid (47/68 videos)
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  - [x] Scientific names validated against GBIF backbone
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  - [x] Coordinates in WGS84
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  - [x] Sampling protocol documented
 
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  - **Repository:** [kabr-behavior-telemetry](https://github.com/Imageomics/kabr-behavior-telemetry)
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  - **Paper:** In preparation
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+ This dataset provides frame-level integration of drone telemetry (GPS position, altitude, camera settings), animal detection bounding boxes, and expert-annotated behaviors from aerial wildlife monitoring in Kenyan savannas. Collected January 11-17, 2023 at Mpala Research Centre, the dataset contains 57 videos with complete occurrence records covering Grevy's zebras (*Equus grevyi*), plains zebras (*Equus quagga*), and reticulated giraffes (*Giraffa reticulata*).
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  The dataset was developed to analyze optimal drone flight parameters for wildlife behavior research—correlating altitude, speed, and camera settings with data quality and animal disturbance levels. It implements Darwin Core biodiversity standards with Humboldt Eco extensions for ecological inventory data, ensuring interoperability with biodiversity databases like GBIF.
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  Key features:
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+ - **57 complete video occurrence files** with ~10,000-66,000 frames each
103
  - **68 video-level Darwin Core events** with GPS bounds and temporal coverage
104
+ - **18 session-level events** aggregating mission-level metadata
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  - **Frame-synchronized data**: GPS coordinates, camera EXIF, detection boxes, behavior labels
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  - **Behavior ethogram**: Walking, running, grazing, vigilance, social interactions, and more
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  - **Multi-species coverage**: Three focal species across diverse habitats
 
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  ```
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  kabr-behavior-telemetry/
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  ├── data/
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+ │ ├── occurrences/ # Frame-level occurrence records (57 videos)
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  │ │ ├── 11_01_23-DJI_0977.csv
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  │ │ ├── 11_01_23-DJI_0978.csv
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  │ │ └── ...
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  │ ├── video_events.csv # Darwin Core Event records (68 videos)
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+ │ └── session_events.csv # Darwin Core Event records (18 sessions)
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  ├── scripts/
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  │ ├── merge_behavior_telemetry.py # Generate occurrence files
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  │ ├── update_video_events.py # Add annotation file paths
 
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  **Technical Limitations:**
497
 
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  - **Image Quality:** Variable due to altitude, lighting, and atmospheric conditions
499
+ - **Coverage Gaps:** 11 videos lack occurrence data due to missing/corrupted SRT files or failed processing
500
  - **Annotation Limitations:** Behavior labels are subjective; inter-observer agreement not quantified
501
  - **GPS Accuracy:** ±5-10m typical; may drift during long flights
502
 
 
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  **🌿 Darwin Core Validation:**
647
 
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  - [x] Event records complete and valid
649
+ - [x] Occurrence records complete and valid (57/68 videos)
650
  - [x] Scientific names validated against GBIF backbone
651
  - [x] Coordinates in WGS84
652
  - [x] Sampling protocol documented