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francobollo
Applying GIS, Data Vis. and Deep Learning to environmental science and nuclear emergency responses
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Edited
Apr 3, 2024
Fork of The MARIS Seawater Dataset
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2 forks
Importers
5 stars
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channels = Object.fromEntries(
dimensions.map(({ name, value, type }) => [
name,
Object.assign(Plot.valueof(dataRdn, value, type), { name })
])
)
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config = ({})
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dimensions = [
{ name: "lon", value: "lon", label: "Longitude" },
{ name: "lat", value: "lat", label: "Latitude" },
{ name: "date", value: "begperiod", label: "Date" },
{ name: "depth", value: "depth", label: "Depth" },
{ name: "activity", value: "activity", label: "Activity" }
]
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maxDepth = d3.max(dataRdn, (d) => d.depth)
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maris-seawater-2023-04-15@1.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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// import { interval } from "@mootari/range-slider@1781";

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