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

Curriculum specialist's fixes and changes for release-v1.0.3 #92

Merged
merged 8 commits into from
Jul 22, 2024
Merged

Curriculum specialist's fixes and changes for release-v1.0.3 #92

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
71befc9
FIX #75. Final addition of Bilibili links.
nsea-log Jul 17, 2024
798a714
py version update to 3.9.18
nsea-log Jul 19, 2024
fba26fc
FIX #89. Removed last years T5 and T6 from /student and /instructor.
nsea-log Jul 21, 2024
edda4f4
FIX part 1 of #90. Month amount and time span update. Hyperlink stil…
nsea-log Jul 21, 2024
7416ad5
FIX #86. Corrected oxygen 18 (16O) to oxygen 18 (18O).
nsea-log Jul 21, 2024
9940386
Python version from 3.9.19 to 3.9.18.
nsea-log Jul 22, 2024
3957c87
FIX part 2 of #90. Added hyperlink to impact scholars website.
nsea-log Jul 22, 2024
7981478
Completed T5 and made minor changes to other nbs, corrections, refere…
nsea-log Jul 22, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions projects/docs/continuing_your_project_after_the_course.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# Climatematch Impact Scholars program

Scientific discovery takes time. Recognizing this, Neuromatch and Climatematch Academy, in collaboration with the [**Learning the Earth with Artificial Intelligence and Physics (LEAP)**](https://leap.columbia.edu/), a National Science Foundation (NSF)-funded Science & Technology Center based at Columbia University, offer the Climate Impact Scholars program. This program provides selected student groups with access to computing resources for 10 months after the courses end, allowing scholars to further develop projects initiated during the courses or to explore new projects provided by the academies or our partners.
Scholars will benefit from the mentorship of experienced researchers who will provide guidance, constructive feedback, and professional insights over the course of 10 months, from October to July, enhancing the quality and impact of their work.
Scientific discovery takes time. Recognizing this, Neuromatch and Climatematch Academy, in collaboration with the [**Learning the Earth with Artificial Intelligence and Physics (LEAP)**](https://leap.columbia.edu/), a National Science Foundation (NSF)-funded Science & Technology Center based at Columbia University, offer the Climate Impact Scholars program. This program provides selected student groups with access to computing resources for 6 months after the courses end, allowing scholars to further develop projects initiated during the courses or to explore new projects provided by the academies or our partners.
Scholars will benefit from the mentorship of experienced researchers who will provide guidance, constructive feedback, and professional insights over the course of 10 months, from October 2024 to March 2025, enhancing the quality and impact of their work.
Additionally, scholars will have the chance to present their research to seasoned experts, gaining valuable feedback and engaging with a broader scientific community.
This program also includes the opportunity to showcase their projects at the Academies Open Ceremony, inspiring future scholars and demonstrating the significance of their research.

Please refer to [this link](https://neuromatch.io/impact-scholars/) for a detailed outline and description of the Impact Scholars Program.
Please refer to [this link](https://impact-scholars.neuromatch.io/impact-scholars/intro.html) for a detailed outline and description of the Impact Scholars Program.
2 changes: 1 addition & 1 deletion tutorials/Projects_GoodResearchPractices/Projects_Tutorial8.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
" return tab_contents\n",
"\n",
"\n",
"video_ids = [('Youtube', 'HEsrjlyza5o'), ('Bilibili', 'BV1494y1B7qs')]\n",
"video_ids = [('Youtube', 'HEsrjlyza5o'), ('Bilibili', 'BV1NtbyeeEqA')]\n",
"tab_contents = display_videos(video_ids, W=730, H=410)\n",
"tabs = widgets.Tab()\n",
"tabs.children = tab_contents\n",
Expand Down
2 changes: 1 addition & 1 deletion tutorials/W1D1_ClimateSystemOverview/W1D1_Tutorial5.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -216,7 +216,7 @@
" return tab_contents\n",
"\n",
"\n",
"video_ids = [('Youtube', 'SyvFyT3jVM8'), ('Bilibili', 'BV1ho4y1C7Eo')]\n",
"video_ids = [('Youtube', 'SyvFyT3jVM8'), ('Bilibili', 'BV1PhbyeaEMk')]\n",
"tab_contents = display_videos(video_ids, W=730, H=410)\n",
"tabs = widgets.Tab()\n",
"tabs.children = tab_contents\n",
Expand Down
80 changes: 21 additions & 59 deletions tutorials/W1D2_Ocean-AtmosphereReanalysis/W1D2_Tutorial6.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,6 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {},
"tags": [
"colab"
]
Expand All @@ -82,9 +81,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
Expand All @@ -101,8 +98,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -130,8 +126,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
Expand All @@ -158,8 +153,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
Expand All @@ -177,7 +171,6 @@
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {},
"tags": []
},
"outputs": [],
Expand Down Expand Up @@ -235,7 +228,6 @@
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {},
"pycharm": {
"name": "#%%\n"
},
Expand Down Expand Up @@ -271,9 +263,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# import preprocessed ECCO data. This data is full depth temperature data over 1992 to 2016 (annual mean)\n",
Expand Down Expand Up @@ -301,9 +291,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# Quick plot of the ocean temperature in Kelvin\n",
Expand All @@ -324,9 +312,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# take the temporal mean over the period 1992 to 1994\n",
Expand All @@ -348,9 +334,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# plot the zonal mean section of this data\n",
Expand Down Expand Up @@ -390,9 +374,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"theta_area_int = (\n",
Expand All @@ -403,9 +385,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# define reference density of salt water and the specific heat capacity\n",
Expand Down Expand Up @@ -460,9 +440,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"area_of_ocean = (\n",
Expand Down Expand Up @@ -492,9 +470,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# to_remove explanation\n",
Expand All @@ -508,8 +484,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -540,9 +515,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# this cell may take a while to run!\n",
Expand Down Expand Up @@ -624,9 +597,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"fig, ax = plt.subplots()\n",
Expand Down Expand Up @@ -667,9 +638,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# to_remove explanation\n",
Expand All @@ -683,8 +652,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -713,9 +681,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# first let's plot where heat is stored in the mean\n",
Expand Down Expand Up @@ -769,9 +735,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# we already defined an object that's the mean over years 1992 to 1994 (subset_theta)\n",
Expand Down Expand Up @@ -799,9 +763,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# plot 2 maps to compare changes in heat content in those two layers\n",
Expand Down Expand Up @@ -920,7 +882,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.19"
"version": "3.9.18"
}
},
"nbformat": 4,
Expand Down
2 changes: 1 addition & 1 deletion tutorials/W1D4_Paleoclimate/W1D4_Tutorial2.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@
"\n",
"### An Overview of Isotopes in Paleoclimate\n",
"\n",
"In this tutorial, and many of the remaining tutorials on this day, you will be looking at data of hydrogen and oxygen isotopes (δD and δ<sup>18</sup>O). As you learned in the video, isotopes are forms of the same element that contain the same numbers of protons but different numbers of neutrons. The two oxygen isotopes that are most commonly used in paleoclimate are oxygen 16 (<sup>16</sup>O), which is the which is the **\"lighter\"** oxygen isotope, and oxygen 18 (<sup>16</sup>O), which is the **\"heavier\"** oxygen isotope. The two hydrogen isotopes that are most commonly used in paleoclimate are hydrogen (H), which is the **\"lighter\"** oxygen isotope, and deuterium (D), which is the **\"heavier\"** oxygen isotope. \n",
"In this tutorial, and many of the remaining tutorials on this day, you will be looking at data of hydrogen and oxygen isotopes (δD and δ<sup>18</sup>O). As you learned in the video, isotopes are forms of the same element that contain the same numbers of protons but different numbers of neutrons. The two oxygen isotopes that are most commonly used in paleoclimate are oxygen 16 (<sup>16</sup>O), which is the which is the **\"lighter\"** oxygen isotope, and oxygen 18 (<sup>18</sup>O), which is the **\"heavier\"** oxygen isotope. The two hydrogen isotopes that are most commonly used in paleoclimate are hydrogen (H), which is the **\"lighter\"** oxygen isotope, and deuterium (D), which is the **\"heavier\"** oxygen isotope. \n",
"\n",
"![image-1.png](https://github.com/neuromatch/climate-course-content/blob/main/tutorials/W1D4_Paleoclimate/images/t2_image1.png?raw=true)\n",
"\n",
Expand Down
Loading
Loading