As the raster download is extremely time and dist space-demanding and I wanted to plot the Rasters, I uploaded Climate on Kaggle from the Seafile.
\nJust in case you want to work with that file:\nclimateClef
\nSubtitle: Climate EnvironmentalRasters zip - GeoLifeClef 2024
\nOr download it on Seafile: Download: https://lab.plantnet.org/seafile/d/bdb829337aa44a9489f6/
\nTrust me, I'm sparing your time cause it took \"a couple\" of minutes to make that : )
", "messages": [ { "id": "2679917", "postDate": "03/03/2024 20:11:48", "content": "As the raster download is extremely time and dist space-demanding and I wanted to plot the Rasters, I uploaded Climate on Kaggle from the Seafile.
\nJust in case you want to work with that file:\nclimateClef
\nSubtitle: Climate EnvironmentalRasters zip - GeoLifeClef 2024
\nOr download it on Seafile: Download: https://lab.plantnet.org/seafile/d/bdb829337aa44a9489f6/
\nTrust me, I'm sparing your time cause it took \"a couple\" of minutes to make that : )
", "rawMarkdown": "As the raster download is extremely time and dist space-demanding and I wanted to plot the Rasters, I uploaded Climate on Kaggle from the Seafile.\n\nJust in case you want to work with that file:\n[climateClef](https://www.kaggle.com/datasets/mpwolke/climateclef) \n\nSubtitle: Climate EnvironmentalRasters zip - GeoLifeClef 2024\n\nOr download it on Seafile: Download: https://lab.plantnet.org/seafile/d/bdb829337aa44a9489f6/\n\nTrust me, I'm sparing your time cause it took \"a couple\" of minutes to make that : )", "votes": null }, { "id": "2685573", "postDate": "03/07/2024 09:12:45", "content": "Thanks a lot Marilla for uploading this data to Kaggle. This can be very useful for people working directly on Kaggle notebooks.
\nNote that the csv version of this data was already uploaded. They contain only the features extracted at the exact position of the osbervation but this may be a more appropriate data for people not having access to large computing resources.
", "rawMarkdown": "Thanks a lot Marilla for uploading this data to Kaggle. This can be very useful for people working directly on Kaggle notebooks. \n\nNote that the csv version of this data was already uploaded. They contain only the features extracted at the exact position of the osbervation but this may be a more appropriate data for people not having access to large computing resources.", "votes": null }, { "id": "2685801", "postDate": "03/07/2024 12:36:52", "content": "Hi Alexis,
\nThe majority of Kaggle users are young, still students, and don't have many computing resources. Just like me.
\nI don't know how to plot the Rasters applying the \"the features extracted at the exact position of the observation\" that's why I uploaded the Climate Rasters zip file.
\nOnly for the Climate Rasters, it took One hour to download to my Computer. Then Two hours to upload it on Kaggle. The good thing it's that it was unzipped by Kaggle environment automatically.
\nAfter plotting some Rasters on Kaggle, I deleted the zip file from my computer.
\nI hope to read and learn with other perspectives/approaches of this fantastic data.
\nThank you.
", "rawMarkdown": "Hi Alexis,\n\nThe majority of Kaggle users are young, still students, and don't have many computing resources. Just like me.\n\nI don't know how to plot the Rasters applying the \"the features extracted at the exact position of the observation\" that's why I uploaded the Climate Rasters zip file.\n\nOnly for the Climate Rasters, it took One hour to download to my Computer. Then Two hours to upload it on Kaggle. The good thing it's that it was unzipped by Kaggle environment automatically.\n\nAfter plotting some Rasters on Kaggle, I deleted the zip file from my computer. \n\nI hope to read and learn with other perspectives/approaches of this fantastic data.\n\nThank you.", "votes": null }, { "id": "2691446", "postDate": "03/11/2024 08:38:21", "content": "Hi Marília,
\nWe are aware of that, and therefore, we have pre-extracted the values this year.
\nThis means that you do not have to download or work with the rasters and just use the values available in the CSV.
For example, to get the elevation value, you would have to download the raster and extract the \"value\" from it by accessing the raster coordinates. Nowadays, you can just load it from the CSV file.
\nIn a CSV file, there is a \"surveyId\" column which is a unique identifier, and you should use it to pair it with the PA and PO data.
The same works for all the rasters.
\nBest,
\nLukas
Hi Lukas,
\nThank you for the additional information to access the pre-extracted data.
", "rawMarkdown": "Hi Lukas,\n\nThank you for the additional information to access the pre-extracted data.", "votes": null } ], "comments": [ { "id": 2685573, "author_name": "alxjoly", "author_url": "", "post_date": "03/07/2024 09:12:45", "content": "Thanks a lot Marilla for uploading this data to Kaggle. This can be very useful for people working directly on Kaggle notebooks.
\nNote that the csv version of this data was already uploaded. They contain only the features extracted at the exact position of the osbervation but this may be a more appropriate data for people not having access to large computing resources.
", "votes": null, "replies": [ { "id": 2685801, "author_name": "mpwolke", "author_url": "", "post_date": "03/07/2024 12:36:52", "content": "Hi Alexis,
\nThe majority of Kaggle users are young, still students, and don't have many computing resources. Just like me.
\nI don't know how to plot the Rasters applying the \"the features extracted at the exact position of the observation\" that's why I uploaded the Climate Rasters zip file.
\nOnly for the Climate Rasters, it took One hour to download to my Computer. Then Two hours to upload it on Kaggle. The good thing it's that it was unzipped by Kaggle environment automatically.
\nAfter plotting some Rasters on Kaggle, I deleted the zip file from my computer.
\nI hope to read and learn with other perspectives/approaches of this fantastic data.
\nThank you.
", "votes": null, "replies": [ { "id": 2691446, "author_name": "picekl", "author_url": "", "post_date": "03/11/2024 08:38:21", "content": "Hi Marília,
\nWe are aware of that, and therefore, we have pre-extracted the values this year.
\nThis means that you do not have to download or work with the rasters and just use the values available in the CSV.
For example, to get the elevation value, you would have to download the raster and extract the \"value\" from it by accessing the raster coordinates. Nowadays, you can just load it from the CSV file.
\nIn a CSV file, there is a \"surveyId\" column which is a unique identifier, and you should use it to pair it with the PA and PO data.
The same works for all the rasters.
\nBest,
\nLukas
Hi Lukas,
\nThank you for the additional information to access the pre-extracted data.
", "votes": null, "replies": [] } ] } ] } ] } ], "raw_markdown_by_id": { "2679917": "As the raster download is extremely time and dist space-demanding and I wanted to plot the Rasters, I uploaded Climate on Kaggle from the Seafile.\n\nJust in case you want to work with that file:\n[climateClef](https://www.kaggle.com/datasets/mpwolke/climateclef) \n\nSubtitle: Climate EnvironmentalRasters zip - GeoLifeClef 2024\n\nOr download it on Seafile: Download: https://lab.plantnet.org/seafile/d/bdb829337aa44a9489f6/\n\nTrust me, I'm sparing your time cause it took \"a couple\" of minutes to make that : )", "2685573": "Thanks a lot Marilla for uploading this data to Kaggle. This can be very useful for people working directly on Kaggle notebooks. \n\nNote that the csv version of this data was already uploaded. They contain only the features extracted at the exact position of the osbervation but this may be a more appropriate data for people not having access to large computing resources.", "2685801": "Hi Alexis,\n\nThe majority of Kaggle users are young, still students, and don't have many computing resources. Just like me.\n\nI don't know how to plot the Rasters applying the \"the features extracted at the exact position of the observation\" that's why I uploaded the Climate Rasters zip file.\n\nOnly for the Climate Rasters, it took One hour to download to my Computer. Then Two hours to upload it on Kaggle. The good thing it's that it was unzipped by Kaggle environment automatically.\n\nAfter plotting some Rasters on Kaggle, I deleted the zip file from my computer. \n\nI hope to read and learn with other perspectives/approaches of this fantastic data.\n\nThank you.", "2691446": "Hi Marília,\n\nWe are aware of that, and therefore, we have pre-extracted the values this year. \nThis means that you do not have to download or work with the rasters and just use the values available in the CSV.\n\nFor example, to get the elevation value, you would have to download the raster and extract the \"value\" from it by accessing the raster coordinates. Nowadays, you can just load it from the CSV file.\nIn a CSV file, there is a \"surveyId\" column which is a unique identifier, and you should use it to pair it with the PA and PO data.\n\nThe same works for all the rasters.\n\nBest,\nLukas", "2691779": "Hi Lukas,\n\nThank you for the additional information to access the pre-extracted data." }, "source": "meta" }