environmental
MIT_environmental_impulse_responsesMIT Environmental Impulse Response Dataset
The audio recordings in this dataset are originally created by the Computational Audition Lab at MIT. The source of the data can be found at: https://mcdermottlab.mit.edu/Reverb/IR_Survey.html.
The audio files in the dataset have been resampled to a sampling rate of 16 kHz. This resampling was done to reduce the size of the dataset while making it more suitable for various tasks, including data augmentation.
The dataset consists of 271 audio files… See the full description on the dataset page: https://huggingface.co/datasets/davidscripka/MIT_environmental_impulse_responses.environmental_datasetEnvironmental_geology-dem
Digital Elevation Model
Overview
This repository contains the Digital Elevation Model dataset, part of the Environmental Geology suite maintained by NORA Research Lab. The data is processed into Cloud-Optimized GeoTIFF (COG) format for efficient geospatial analysis.
Dataset Details
Variable: Digital Elevation Model
Units: metres
Format: Cloud-Optimized GeoTIFF (COG)
Compression: ZSTD
Coordinate System: EPSG:4326 (WGS84)
Spatial Resolution: ~30… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-dem.SpatialGym_Environmental
SpatialGym Environmental Scenes
Indoor scenes for the two environmental tasks of SpatialGym — Camera Relocalization and
Novel Path Discovery — with the navigation grids and task pairs precomputed, so the
environments run right after download.
License: CC BY-NC-SA 4.0
Overview
Source
Scenes
Camera Relocalization pairs (d1 / d2 / d3)
Novel Path Discovery pairs (d1 / d2 / d3)
Download
Unpacked
interioragent
25
34 564 / 23 150 / 44 300
3 723 / 4 042 / 7 767… See the full description on the dataset page: https://huggingface.co/datasets/spatialgym/SpatialGym_Environmental.Environmental_geology-aspect
Aspect
Overview
This repository contains the Aspect dataset, part of the Environmental Geology suite maintained by NORA Research Lab. The data is processed into Cloud-Optimized GeoTIFF (COG) format for efficient geospatial analysis.
Dataset Details
Variable: Aspect
Units: degrees (0-360, 0=N)
Format: Cloud-Optimized GeoTIFF (COG)
Compression: ZSTD
Coordinate System: EPSG:4326 (WGS84)
Spatial Resolution: ~30 metres (1 arc-second)… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-aspect.MIT_environmental_impulse_responses
MIT Environmental Impulse Response Dataset
The audio recordings in this dataset are originally created by the Computational Audition Lab at MIT. The source of the data can be found at: https://mcdermottlab.mit.edu/Reverb/IR_Survey.html.
This mirror provides the 16 kHz WAV files used for wake-word training augmentation in the Tater Totterson trainer projects. The files were resampled to 16 kHz to keep the dataset small and convenient for machine-learning audio pipelines.… See the full description on the dataset page: https://huggingface.co/datasets/TaterTotterson/MIT_environmental_impulse_responses.