Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update run links to point to 2i2c #21

Merged
merged 1 commit into from Mar 3, 2023
Merged

Update run links to point to 2i2c #21

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
10 changes: 5 additions & 5 deletions example-notebooks/intake.ipynb
View file
Open in desktop
Expand Up @@ -22,17 +22,17 @@
"source": [
"## Run this notebook\n",
"\n",
"You can launch this notebook in SMCE DaskHub by clicking the link below.\n",
"You can launch this notebook in VEDA JupyterHub by clicking the link below.\n",
"\n",
"[Launch in SMCE DaskHub (requires access)](https://daskhub.veda.smce.nasa.gov/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FNASA-IMPACT%2Fveda-docs&urlpath=lab%2Ftree%2Fveda-docs%2Fexample-notebooks%2Fintake.ipynb&branch=main) \n",
"[Launch in VEDA JupyterHub (requires access)](https://nasa-veda.2i2c.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/example-notebooks/intake.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA SMCE DaskHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"Please request access by emailng aimee@developmentseed.org providing your affiliation, interest in or expected use of the dataset, and an AWS IAM role or user Amazon Resource Name (ARN).\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
Expand Down Expand Up @@ -2998,7 +2998,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.10.8"
}
},
"nbformat": 4,
Expand Down
14 changes: 7 additions & 7 deletions example-notebooks/open-and-plot.ipynb
View file
Open in desktop
Expand Up @@ -25,17 +25,17 @@
"source": [
"## Run this notebook\n",
"\n",
"You can launch this notebook in SMCE DaskHub by clicking the link below.\n",
"You can launch this notebook in VEDA JupyterHub by clicking the link below.\n",
"\n",
"[Launch in SMCE DaskHub (requires access)](https://daskhub.veda.smce.nasa.gov/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FNASA-IMPACT%2Fveda-docs&urlpath=lab%2Ftree%2Fveda-docs%2Fexample-notebooks%2Fopen-and-plot.ipynb&branch=main) \n",
"[Launch in VEDA JupyterHub (requires access)](https://nasa-veda.2i2c.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/example-notebooks/open-and-plot.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA SMCE DaskHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"Please request access by emailng aimee@developmentseed.org providing your affiliation, interest in or expected use of the dataset, and an AWS IAM role or user Amazon Resource Name (ARN).\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
Expand Down Expand Up @@ -2587,9 +2587,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:notebook] *",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "conda-env-notebook-py"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -2601,7 +2601,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.10.8"
}
},
"nbformat": 4,
Expand Down
15 changes: 7 additions & 8 deletions example-notebooks/timeseries-rioxarray-stackstac.ipynb
View file
Open in desktop
Expand Up @@ -23,18 +23,17 @@
"source": [
"## Run this notebook\n",
"\n",
"You can launch this notebook in SMCE DaskHub by clicking the link below.\n",
"\n",
"[Launch in SMCE DaskHub (requires access)](https://daskhub.veda.smce.nasa.gov/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FNASA-IMPACT%2Fveda-docs&urlpath=lab%2Ftree%2Fveda-docs%2Fexample-notebooks%2Ftimeseries-rioxarray-stackstac.ipynb&branch=main) \n",
"You can launch this notebook in VEDA JupyterHub by clicking the link below.\n",
"\n",
"[Launch in VEDA JupyterHub (requires access)](https://nasa-veda.2i2c.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/example-notebooks/timeseries-rioxarray-stackstac.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA SMCE DaskHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"Please request access by emailng aimee@developmentseed.org providing your affiliation, interest in or expected use of the dataset, and an AWS IAM role or user Amazon Resource Name (ARN).\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
Expand Down Expand Up @@ -1650,9 +1649,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:notebook] *",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "conda-env-notebook-py"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -1664,7 +1663,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.10.8"
}
},
"nbformat": 4,
Expand Down