## Dataset Integration ### Dataset Name: <!-- Provide the dataset name --> --- ### What VEDA deployment are you representing? - [ ] GHG Center - [ ] Earth.gov - [ ] Air Quality - [ ] Water Insight - [ ] Disasters - [ ] MAAP - [ ] Other: ________________ --- ### What is data format? *(Check all that apply)* - [ ] Zarr stores - [ ] NetCDF files - [ ] HDF5 files - [ ] TIFF files - [ ] GRIB files - [ ] Other: ________________ --- ### Dataset tiling service - [ ] titiler - [ ] titiler-cmr - [ ] titiler-multidim - [ ] pg-stac - [ ] virtual zarr store - [ ] Other: ________________ --- ## Description <!-- Brief description of the dataset, source, and purpose --> --- ## Progress Tracking ### Sub-issues / Tasks - [ ] **1. Access data and exploration** - [ ] Identify data source/location - [ ] Verify access permissions - [ ] Initial data inspection - [ ] **2. Integration** - [ ] Define ingestion pipeline - [ ] Configure storage/catalog (e.g., STAC) - [ ] Deploy tiling service - [ ] **3. Exploring ingested data (Jupyter Notebook)** - [ ] Create notebook for validation - [ ] Visualize dataset - [ ] Document findings - [ ] **4. Benchmarking original vs ingested (Jupyter Notebook)** - [ ] Compare performance - [ ] Validate data fidelity - [ ] Document differences - [ ] **5. Demo** - [ ] Prepare demo use case - [ ] Generate visual outputs - [ ] Share/demo with stakeholders --- ## Additional Notes <!-- Any extra context, blockers, or references -->
Dataset Integration
Dataset Name:
What VEDA deployment are you representing?
What is data format? (Check all that apply)
Dataset tiling service
Description
Progress Tracking
Sub-issues / Tasks
1. Access data and exploration
2. Integration
3. Exploring ingested data (Jupyter Notebook)
4. Benchmarking original vs ingested (Jupyter Notebook)
5. Demo
Additional Notes