Updated datasets 2023-08-05 UTC

opengeos · Aug 5, 2023 · 8502d89 · 8502d89
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diff --git a/aws_open_datasets.json b/aws_open_datasets.json
@@ -628,7 +628,7 @@
         "Type": "S3 Bucket",
         "Documentation": "https://irsa.ipac.caltech.edu/Missions/wise.html",
         "Contact": "https://irsa.ipac.caltech.edu/docs/help_desk.html",
-        "ManagedBy": "[Caltech/IPAC-IRSA](https://irsa.ipac.caltech.edu)",
+        "ManagedBy": "[Caltech IPAC-IRSA](https://irsa.ipac.caltech.edu)",
         "UpdateFrequency": "The AllWISE Data Release has been finalized and will not be updated. However, th",
         "License": "https://irsa.ipac.caltech.edu/data_use_terms.html",
         "Tags": "astronomy, survey, imaging, object detection, parquet",

diff --git a/aws_open_datasets.tsv b/aws_open_datasets.tsv
@@ -33,7 +33,7 @@ AgricultureVision - Dataset affiliated with the 2021 CVPR Agricutlure Vision Wor
 AgricultureVision - Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includes	Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includes	arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021_full	us-east-1	S3 Bucket	https://arxiv.org/abs/2001.01306	[email protected]	Intelinair, Inc.	Periodically	Provided in the bucket.	aerial imagery, agriculture, computer vision, deep learning, machine learning		False			
 AgricultureVision - Original dataset affiliated with the 2020 CVPR paper  Dataset provided as a ser	Original dataset affiliated with the 2020 CVPR paper  Dataset provided as a ser	arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_paper_2020	us-east-1	S3 Bucket	https://arxiv.org/abs/2001.01306	[email protected]	Intelinair, Inc.	Periodically	Provided in the bucket.	aerial imagery, agriculture, computer vision, deep learning, machine learning		False			
 Airborne Object Tracking Dataset	The training dataset is further split into smaller directories Each subdirector	arn:aws:s3:::airborne-obj-detection-challenge-training	us-east-1	S3 Bucket	https://www.aicrowd.com/challenges/airborne-object-tracking-challenge	[email protected]	[Amazon](https://www.amazon.com/)	Not updated	Community Data License Agreement – Permissive, Version 1.0 https://cdla.dev/perm	amazon.science, computer vision, deep learning, machine learning	['[Explore dataset](https://github.com/amazon-research/siam-mot/blob/main/readme/model_zoo.md)', '[README](https://gitlab.aicrowd.com/amazon-prime-air/airborne-detection-starter-kit/-/blob/master/docs/DATASET.md)']				
-AllWISE Data	The AllWISE Images Atlas is comprised of 18,240 4-band (34, 46, 12, 22 microns	arn:aws:s3:::nasa-irsa-wise/wise/allwise	us-west-2	S3 Bucket	https://irsa.ipac.caltech.edu/Missions/wise.html	https://irsa.ipac.caltech.edu/docs/help_desk.html	[Caltech/IPAC-IRSA](https://irsa.ipac.caltech.edu)	The AllWISE Data Release has been finalized and will not be updated. However, th	https://irsa.ipac.caltech.edu/data_use_terms.html	astronomy, survey, imaging, object detection, parquet		False		False	
+AllWISE Data	The AllWISE Images Atlas is comprised of 18,240 4-band (34, 46, 12, 22 microns	arn:aws:s3:::nasa-irsa-wise/wise/allwise	us-west-2	S3 Bucket	https://irsa.ipac.caltech.edu/Missions/wise.html	https://irsa.ipac.caltech.edu/docs/help_desk.html	[Caltech IPAC-IRSA](https://irsa.ipac.caltech.edu)	The AllWISE Data Release has been finalized and will not be updated. However, th	https://irsa.ipac.caltech.edu/data_use_terms.html	astronomy, survey, imaging, object detection, parquet		False		False	
 Allen Brain Observatory - Visual Coding AWS Public Data Set - Project data files in a public bucket	Project data files in a public bucket	arn:aws:s3:::allen-brain-observatory	us-west-2	S3 Bucket	https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory-	[email protected]	[Allen Institute](http://www.alleninstitute.org/)	Annually	http://www.alleninstitute.org/legal/terms-use/	aws-pds, neurobiology, neuroimaging, image processing, imaging, life sciences, signal processing, electrophysiology, Mus musculus					
 Allen Brain Observatory - Visual Coding AWS Public Data Set - SageMaker launch template with s3fs bucket mounts	SageMaker launch template with s3fs bucket mounts	arn:aws:s3:::allen-brain-observatory-templates	us-west-2	S3 Bucket	https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory-	[email protected]	[Allen Institute](http://www.alleninstitute.org/)	Annually	http://www.alleninstitute.org/legal/terms-use/	aws-pds, neurobiology, neuroimaging, image processing, imaging, life sciences, signal processing, electrophysiology, Mus musculus					
 Allen Cell Imaging Collections	Data files in a public bucket	arn:aws:s3:::allencell	us-east-1	S3 Bucket	https://open.quiltdata.com/b/allencell	[email protected]	[Allen Institute for Cell Science](https://www.allencell.org)	Biweekly	https://www.allencell.org/terms-of-use.html	aws-pds, life sciences, biology, cell imaging, cell biology, microscopy, image processing, machine learning, Homo sapiens					

diff --git a/datasets/sentinel-2-l2a-cogs.yaml b/datasets/sentinel-2-l2a-cogs.yaml
@@ -8,7 +8,7 @@ Description: |
   This dataset is the same as the [Sentinel-2](https://registry.opendata.aws/sentinel-2/)
   dataset, except the JP2K files were converted into Cloud-Optimized GeoTIFFs (COGs).
   Additionally, SpatioTemporal Asset Catalog metadata has were in a JSON file
-  alongside the data, and a STAC API called [Earth-search](https://earth-search.aws.element84.com/v0)
+  alongside the data, and a STAC API called [Earth-search](https://earth-search.aws.element84.com/v1)
   is freely available to search the archive. This dataset contains all of the scenes in the
   original Sentinel-2 Public Dataset and will grow as that does.
   L2A data are available from April 2017 over wider Europe region and globally since December 2018.

diff --git a/datasets/wise-allwise.yaml b/datasets/wise-allwise.yaml
@@ -3,7 +3,7 @@ Description: |
   AllWISE consists of images and a catalog that together provide a comprehensive view of the mid-infrared sky. The AllWISE Images Atlas includes 18,240 FITS images at 3.4, 4.6, 12 and 22 microns, as well as depth-of-coverage and noise maps. The AllWISE Source Catalog is provided in Parquet format and contains accurate positions, apparent motion measurements, four-band fluxes, and flux variability statistics for over 747 million objects detected on the Atlas Images.
 Documentation: https://irsa.ipac.caltech.edu/Missions/wise.html
 Contact: https://irsa.ipac.caltech.edu/docs/help_desk.html
-ManagedBy: "[Caltech/IPAC-IRSA](https://irsa.ipac.caltech.edu)"
+ManagedBy: "[Caltech IPAC-IRSA](https://irsa.ipac.caltech.edu)"
 UpdateFrequency: The AllWISE Data Release has been finalized and will not be updated. However, the data may be presented in new ways as the products become available.
 Tags:
   - astronomy