1e:["$","div",null,{"className":"h-full w-full pb-12","children":["$","div",null,{"className":"prose-blue prose focus:outline-none h-full w-full max-w-[846px] mx-auto dark:prose-invert ProseMirror","children":[[],["$","div",null,{"className":"webrender","children":[["$","p","0-0",{"style":{"textAlign":"left"},"children":[["$","span","0-0-0",{"children":"WeatherXM, Textile, and IoTeX have teamed up to create a joint proof of concept (PoC) that showcases a workflow for enabling transparent contributor token reward calculations built on decentralized infrastructure. At the heart of decentralization is the promise of mechanisms that ensure value creators are fairly rewarded for their contributions."}]]}],["$","p","0-1",{"style":{"textAlign":"left"},"children":[["$","span","0-1-0",{"children":"In the Decentralized Physical Infrastructure Networks (”"}],["$","a","0-1-1-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://iotex.io/blog/what-are-decentralized-physical-infrastructure-networks-depin/","children":["$","span","0-1-1",{"children":"DePIN"}]}],["$","span","0-1-2",{"children":"”) space, early contributors often invest in hardware and take the time to capture and contribute data to an ecosystem in exchange for token rewards. However, most DePINs are still calculating and distributing token incentive payouts in a centralized, opaque manner, making it difficult for contributors or investors to know if they’re receiving the correct amount of tokens for their contribution. With this PoC, we’ve demonstrated what a more transparent, decentralized, and trustless future could look like for DePINs and their token incentive payouts to their contributors."}]]}],["$","h2","0-2",{"className":"text-3xl font-header","children":[["$","span","0-2-0",{"children":"Background"}]]}],["$","p","0-3",{"style":{"textAlign":"left"},"children":[["$","span","0-3-0",{"children":"WeatherXM has been designing its protocol and ecosystem to lead from a place of transparency, sharing the many intricacies that makeup quality of data (QoD) scores for reward payouts and continually experimenting with decentralized back-end infrastructure to open up access to and collaboration over their data. Their input and feedback have been invaluable to us as we design "}],["$","a","0-3-1-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://basin.textile.io/","children":["$","span","0-3-1",{"children":"Basin"}]}],["$","span","0-3-2",{"children":", a Data Availability (”DA”) and Long-Term Storage (”LTS”) layer, to unlock new data use cases for DePINs. Namely, data is immediately available with the Basin hot cache layer while being replicated to Filecoin for long-term persistence. We’ve also been working closely with the "}],["$","a","0-3-3-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://iotex.io/","children":["$","span","0-3-3",{"children":"IoTeX"}]}],["$","span","0-3-4",{"children":" team on their new compute protocol W3bstream, which, in turn, supports "}],["$","a","0-3-5-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://www.risczero.com/","children":["$","span","0-3-5",{"children":"Risc0"}]}],["$","span","0-3-6",{"children":"’s newly released "}],["$","a","0-3-7-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://www.risczero.com/zkvm","children":["$","span","0-3-7",{"children":"zkVM"}]}],["$","span","0-3-8",{"children":". Ultimately, a DA/LTS layer should be modular and part of a DePIN’s middleware stack, so we all collaborated on a proof-of-concept that leveraged all three protocols."}]]}],["$","div","0-4",{"className":"callout-base callout-info","style":{"whiteSpace":"normal"},"children":[["$","button",null,{"className":"callout-button","disabled":true,"children":["$","svg",null,{"stroke":"currentColor","fill":"none","strokeWidth":"2","viewBox":"0 0 24 24","strokeLinecap":"round","strokeLinejoin":"round","className":"callout-info-icon","height":"1em","width":"1em","xmlns":"http://www.w3.org/2000/svg","children":[["$","circle",null,{"cx":"12","cy":"12","r":"10"}],["$","line",null,{"x1":"12","y1":"8","x2":"12","y2":"12"}],["$","line",null,{"x1":"12","y1":"16","x2":"12.01","y2":"16"}]]}]}],["$","div",null,{"className":"callout-content","children":["$","div",null,{"className":"pr-2 w-full","style":{"whiteSpace":"pre-wrap"},"children":["$","div",null,{"style":{"whiteSpace":"inherit"},"children":[["$","p","0-4-0",{"style":{"textAlign":"left"},"children":[["$","span","0-4-0-0",{"children":"If you want to dive straight into the POC, check out the source code here: "}],["$","a","0-4-0-1-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://github.com/machinefi/WeatherXM-IoTeX-Textile-POC","children":["$","span","0-4-0-1",{"children":"https://github.com/machinefi/WeatherXM-IoTeX-Textile-POC"}]}]]}]]}]}]}]]}],["$","p","0-5",{"style":{"textAlign":"left"},"children":[["$","span","0-5-0",{"children":"To provide a bit more context, here’s a quick overview of what each protocol does:"}]]}],["$","ul","0-6",{"children":[["$","li","0-6-0",{"children":[["$","p","0-6-0-0",{"style":{"textAlign":"left"},"children":[["$","strong","0-6-0-0-0-bold",{"children":["$","span","0-6-0-0-0",{"children":"W3bstream"}]}],["$","span","0-6-0-0-1",{"children":": compute protocol built for DePINs that allows for off-chain, verifiable computing on data (with zero knowledge proofs) and can trigger smart contracts on any blockchain, facilitating the creation of circular token economies."}]]}]]}],["$","li","0-6-1",{"children":[["$","p","0-6-1-0",{"style":{"textAlign":"left"},"children":[["$","strong","0-6-1-0-0-bold",{"children":["$","span","0-6-1-0-0",{"children":"Risc0"}]}],["$","span","0-6-1-0-1",{"children":": a zero-knowledge verifiable general computing platform based on "}],["$","a","0-6-1-0-2-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://en.wikipedia.org/wiki/Non-interactive_zero-knowledge_proof","children":["$","span","0-6-1-0-2",{"children":"zk-STARKs"}]}],["$","span","0-6-1-0-3",{"children":" and the "}],["$","a","0-6-1-0-4-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://en.wikipedia.org/wiki/RISC-V","children":["$","span","0-6-1-0-4",{"children":"RISC-V"}]}],["$","span","0-6-1-0-5",{"children":" microarchitecture."}]]}]]}],["$","li","0-6-2",{"children":[["$","p","0-6-2-0",{"style":{"textAlign":"left"},"children":[["$","strong","0-6-2-0-0-bold",{"children":["$","span","0-6-2-0-0",{"children":"WeatherXM"}]}],["$","span","0-6-2-0-1",{"children":": DePIN network that's powered by community-owned weather stations (devices), purpose-built by WeatherXM for weather data collection and incentivized to share data."}]]}]]}],["$","li","0-6-3",{"children":[["$","p","0-6-3-0",{"style":{"textAlign":"left"},"children":[["$","strong","0-6-3-0-0-bold",{"children":["$","a","0-6-3-0-0-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://basin.textile.io/","children":["$","span","0-6-3-0-0",{"children":"Basin"}]}]}],["$","span","0-6-3-0-1",{"children":": a DA/LTS storage layer that provides hot/cold decentralized storage for large datasets with hot cache + Filecoin…sorta like a “data L2.”"}]]}]]}]]}],["$","figure","0-7",{"style":{"width":null,"float":"none","margin":"auto"},"className":"img-float-none","children":[["$","$L36","0-7-0",{"className":"image-node","src":"https://storage.googleapis.com/papyrus_images/df55a458ca3fd775bc0380d852dd625f.png","alt":"post image","width":1482,"height":710,"blurDataURL":"$48","placeholder":"blur","sizes":"(min-width: 1024px) 832px, 100vw"}],["$","figcaption","0-7-1",{"children":[]}]]}],["$","h2","0-8",{"className":"text-3xl font-header","children":[["$","strong","0-8-0-bold",{"children":["$","span","0-8-0",{"children":"How does it work?"}]}]]}],["$","p","0-9",{"style":{"textAlign":"left"},"children":[["$","span","0-9-0",{"children":"WeatherXM pushes station/device data to Basin on a daily basis. Separately, the network runs a "}],["$","a","0-9-1-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://github.com/weatherxm-network/qod","children":["$","span","0-9-1",{"children":"Quality of Data (”QoD”)"}]}],["$","span","0-9-2",{"children":" algorithm that gets incorporated into the "}],["$","a","0-9-3-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://docs.weatherxm.com/reward-mechanism","children":["$","span","0-9-3",{"children":"token rewarding mechanism"}]}],["$","span","0-9-4",{"children":". The IoTeX team built on top of the WeatherXM dataset stored on Basin, while also demonstrating how the QoD pipeline could work within a decentralized compute network. Namely, W3sbtream could run the QoD algorithm daily over the WeatherXM data and then also store those results in Basin, along with zk proofs."}]]}],["$","p","0-10",{"style":{"textAlign":"left"},"children":[["$","span","0-10-0",{"children":"You can think of this process in three steps:"}]]}],["$","ul","0-11",{"children":[["$","li","0-11-0",{"children":[["$","p","0-11-0-0",{"style":{"textAlign":"left"},"children":[["$","strong","0-11-0-0-0-bold",{"children":["$","span","0-11-0-0-0",{"children":"Ingest"}]}],["$","span","0-11-0-0-1",{"children":": WeatherXM pushes data to a Textile Basin on a daily basis as a Parquet file."}]]}]]}],["$","li","0-11-1",{"children":[["$","p","0-11-1-0",{"style":{"textAlign":"left"},"children":[["$","strong","0-11-1-0-0-bold",{"children":["$","span","0-11-1-0-0",{"children":"Compute"}]}],["$","span","0-11-1-0-1",{"children":": The daily QoD score per station is calculated for the entire network, with a zk proof by W3bstream."}]]}]]}],["$","li","0-11-2",{"children":[["$","p","0-11-2-0",{"style":{"textAlign":"left"},"children":[["$","strong","0-11-2-0-0-bold",{"children":["$","span","0-11-2-0-0",{"children":"Visualizations:"}]}],["$","span","0-11-2-0-1",{"children":" Access to the data & reward proofs is provided through a simple dashboard ("}],["$","a","0-11-2-0-2-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://index.weatherxm.network/","children":["$","span","0-11-2-0-2",{"children":"here"}]}],["$","span","0-11-2-0-3",{"children":")."}]]}]]}]]}],["$","figure","0-12",{"style":{"width":null,"float":"none","margin":"auto"},"className":"img-float-none","children":[["$","img","0-12-0",{"className":"image-node","src":"https://storage.googleapis.com/papyrus_images/eb0461c5e5dfd71bd52cb553c7285d03.png","alt":"post image"}],["$","figcaption","0-12-1",{"children":[["$","span","0-12-1-0",{"children":"Data flows from WeatherXM to Basin to W3bstream …and back to Basin for storing W3bstream data, too."}]]}]]}],["$","h2","0-13",{"className":"text-3xl font-header","children":[["$","span","0-13-0",{"children":"How is it built?"}]]}],["$","p","0-14",{"style":{"textAlign":"left"},"children":[["$","span","0-14-0",{"children":"In the POC, the first step in the process is already accounted for without additional effort because WeatherXM is already sending station data to Basin. The second step requires W3bstream to pull data from Basin and run QoD calculations. Luckily, the QoD algorithm is open source and comes ready to go with a Docker setup: "}],["$","a","0-14-1-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://github.com/weatherxm-network/qod","children":["$","span","0-14-1",{"children":"here"}]}],["$","span","0-14-2",{"children":". You can generate the QoD scores with that repo using the following commands, which include the station/device ID and time ranges to generate the QoD scores:"}]]}],["$","pre","0-15",{"className":"relative","children":[["$","$L49",null,{"code":"> docker build -t wxm-qod:local .\n> docker run \\\n -v /datasets:/datasets \\\n wxm-qod:local obc_sqc.iface.file_model_inference \\\n --device_id \\ # unique WeatherXM device ID\n --date \\ # the QoD score for that day\n --day1 \\ # the data at the start time\n --day2 \\ # the data at the end time\n --output_file_path results.json"}],["$","code",null,{"dangerouslySetInnerHTML":{"__html":"> docker build -t wxm-qod:local .\n> docker run \\\n -v /datasets:/datasets \\\n wxm-qod:local obc_sqc.iface.file_model_inference \\\n --device_id <device_id> \\ # unique WeatherXM device ID\n --date <date> \\ # the QoD score for that day\n --day1 <yesterday> \\ # the data at the start time\n --day2 <today> \\ # the data at the end time\n --output_file_path results.json"}}]]}],["$","p","0-16",{"style":{"textAlign":"left"},"children":[["$","span","0-16-0",{"children":"For example, W3bstream nodes could run this QoD algorithm daily to generate the dataset on-machine. The next step is the verifiability component; you must prepare the prover code to compute the average QoD scores with the W3bstream zk engine. A reference example is located in "}],["$","code","0-16-1-code",{"className":"graf code","children":["$","span","0-16-1",{"children":"methods.rs"}]}],["$","span","0-16-2",{"children":" ("}],["$","a","0-16-3-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://github.com/machinefi/WeatherXM-IoTeX-Textile-POC/blob/main/dataset/methods.rs","children":["$","span","0-16-3",{"children":"here"}]}],["$","span","0-16-4",{"children":") that defines how to generate a risc0 proof. The actual implementation looks like this, which "}],["$","a","0-16-5-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://crates.io/crates/risc0-zkvm","children":["$","span","0-16-5",{"children":"risc0-zkvm"}]}],["$","span","0-16-6",{"children":" and those "}],["$","a","0-16-7-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://github.com/machinefi/WeatherXM-IoTeX-Textile-POC/blob/main/dataset/methods.rs","children":["$","span","0-16-7",{"children":"custom methods"}]}],["$","span","0-16-8",{"children":" that define a "}],["$","code","0-16-9-code",{"className":"graf code","children":["$","span","0-16-9",{"children":"ZK_ELF"}]}],["$","span","0-16-10",{"children":", "}],["$","code","0-16-11-code",{"className":"graf code","children":["$","span","0-16-11",{"children":"ZK_ID"}]}],["$","span","0-16-12",{"children":", and "}],["$","code","0-16-13-code",{"className":"graf code","children":["$","span","0-16-13",{"children":"ZK_PATH"}]}],["$","span","0-16-14",{"children":":"}]]}],["$","pre","0-17",{"className":"relative","children":[["$","$L49",null,{"code":"use zk_methods::ZK_ELF;\nuse risc0_zkvm::{\n default_prover,\n serde::{from_slice, to_vec},\n ExecutorEnv, Receipt,\n};\n\n// Compare them inside the ZKP\npub fn avg(a: String) -> (Receipt, String) {\n let env = ExecutorEnv::builder()\n .write_slice(&to_vec(&a).unwrap())\n .build()\n .unwrap();\n\n // Obtain the default prover.\n let prover = default_prover();\n\n // Produce a receipt by proving the specified ELF binary.\n let receipt = prover.prove(env, ZK_ELF).unwrap();\n println!(\"{:?}\", receipt);\n\n // Extract journal of receipt (i.e. output c, where c = a + b)\n let c: String = from_slice(&receipt.journal.bytes).expect(\n \"Journal output should deserialize into the same types (& order)\",\n );\n println!(\"{}\", c);\n\n (receipt, c)\n}"}],["$","code",null,{"dangerouslySetInnerHTML":{"__html":"$4a"}}]]}],["$","p","0-18",{"style":{"textAlign":"left"},"children":[["$","span","0-18-0",{"children":"Then, generating the actual proof uses the "}],["$","code","0-18-1-code",{"className":"graf code","children":["$","span","0-18-1",{"children":"avg"}]}],["$","span","0-18-2",{"children":" function above (for averaging QoD scores):"}]]}],["$","pre","0-19",{"className":"relative","children":[["$","$L49",null,{"code":"use zk::avg;\nuse zk_methods::ZK_ID;\n\nfn main() {\n\t// An example of a single WeatherXm device ID, its QoD, \n // and the proof type as a stored variable / string\n let json_str = \"[\n \\\"{\\\\\\\"data\\\\\\\":\\\\\\\"[{\\\\\\\\\\\\\\\"device_id\\\\\\\\\\\\\\\":\\\\\\\\\\\\\\\"e1f8a900-1dfb-11ed-9972-4f669f2d96bd\\\\\\\\\\\\\\\",\\\\\\\\\\\\\\\"qod_score\\\\\\\\\\\\\\\":0.9644833333333332},\\\\\\\"receipt_type\\\\\\\":\\\\\\\"Stark\\\\\\\"}\\\"\n ]\";\n\n let (receipt, _) = avg(json_str.to_owned());\n // Verify receipt (and error if there's an issue)\n receipt.verify(ZK_ID).expect(\n \"code you have proven should successfully verify\",\n );\n}"}],["$","code",null,{"dangerouslySetInnerHTML":{"__html":"$4b"}}]]}],["$","h2","0-20",{"className":"text-3xl font-header","children":[["$","span","0-20-0",{"children":"How to use it?"}]]}],["$","p","0-21",{"style":{"textAlign":"left"},"children":[["$","span","0-21-0",{"children":"Once the prover code ("}],["$","code","0-21-1-code",{"className":"graf code","children":["$","span","0-21-1",{"children":"methods.rs"}]}],["$","span","0-21-2",{"children":") is defined, you can then use the W3bstream network to run proofs over the data by using the "}],["$","a","0-21-3-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://sandbox.w3bstream.com/","children":["$","span","0-21-3",{"children":"W3bstream Sandbox"}]}],["$","span","0-21-4",{"children":". Start by providing the prover code and "}],["$","em","0-21-5-italic",{"children":["$","span","0-21-5",{"children":"where"}]}],["$","span","0-21-6",{"children":" the QoD/proof data is to be written (i.e., to Basin) before submitting the request to the network:"}]]}],["$","figure","0-22",{"style":{"width":null,"float":"none","margin":"auto"},"className":"img-float-none","children":[["$","$L36","0-22-0",{"className":"image-node","src":"https://storage.googleapis.com/papyrus_images/fdfdf668014800b1c7f5f627e143cc30.png","alt":"post image","width":2877,"height":1918,"blurDataURL":"$4c","placeholder":"blur","sizes":"(min-width: 1024px) 832px, 100vw"}],["$","figcaption","0-22-1",{"children":[]}]]}],["$","p","0-23",{"style":{"textAlign":"left"},"children":[["$","span","0-23-0",{"children":"Alternatively, this can be performed programmatically with the IoTeX CLI ("}],["$","code","0-23-1-code",{"className":"graf code","children":["$","span","0-23-1",{"children":"ioctl"}]}],["$","span","0-23-2",{"children":"). It’ll run through similar steps and log the results:"}]]}],["$","pre","0-24",{"className":"relative","children":[["$","$L49",null,{"code":"{\n \"messageID\": \"c4a2be1c-def3-463f-813a-12efc7e46856\",\n \"states\": [\n {\n \"state\": \"received\",\n \"time\": \"2024-03-22T19:05:36.661Z\",\n \"comment\": \"\"\n },\n {\n \"state\": \"packed\",\n \"time\": \"2024-03-22T19:05:40.2937Z\",\n \"comment\": \"\"\n },\n {\n \"state\": \"dispatched\",\n \"time\": \"2024-03-22T19:19:08.268849Z\",\n \"comment\": \"\"\n },\n {\n \"state\": \"proved\",\n \"time\": \"2024-03-22T19:24:53.339793Z\",\n \"comment\": \"\"\n },\n {\n \"state\": \"outputted\",\n \"time\": \"2024-03-22T19:24:57.587218Z\",\n \"comment\": \"\"\n }\n ]\n}"}],["$","code",null,{"dangerouslySetInnerHTML":{"__html":"$4d"}}]]}],["$","div","0-25",{"className":"callout-base callout-info","style":{"whiteSpace":"normal"},"children":[["$","button",null,{"className":"callout-button","disabled":true,"children":["$","svg",null,{"stroke":"currentColor","fill":"none","strokeWidth":"2","viewBox":"0 0 24 24","strokeLinecap":"round","strokeLinejoin":"round","className":"callout-info-icon","height":"1em","width":"1em","xmlns":"http://www.w3.org/2000/svg","children":[["$","circle",null,{"cx":"12","cy":"12","r":"10"}],["$","line",null,{"x1":"12","y1":"8","x2":"12","y2":"12"}],["$","line",null,{"x1":"12","y1":"16","x2":"12.01","y2":"16"}]]}]}],["$","div",null,{"className":"callout-content","children":["$","div",null,{"className":"pr-2 w-full","style":{"whiteSpace":"pre-wrap"},"children":["$","div",null,{"style":{"whiteSpace":"inherit"},"children":[["$","p","0-25-0",{"style":{"textAlign":"left"},"children":[["$","span","0-25-0-0",{"children":"All of the data is made available on Basin, so you can inspect the CID to see what the proof looks like—here’s an example: "}],["$","a","0-25-0-1-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://bafybeigcwwx67s27str46u45grpk7xn3brqe2fqezgogaiycscjs53xhqm.ipfs.w3s.link/","children":["$","span","0-25-0-1",{"children":"bafybeigcwwx67s27str46u45grpk7xn3brqe2fqezgogaiycscjs53xhqm"}]}]]}]]}]}]}]]}],["$","h2","0-26",{"className":"text-3xl font-header","children":[["$","span","0-26-0",{"children":"Build open data pipelines"}]]}],["$","p","0-27",{"style":{"textAlign":"left"},"children":[["$","span","0-27-0",{"children":"Reach out to "}],["$","a","0-27-1-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://tableland.xyz/discord","children":["$","span","0-27-1",{"children":"Tableland"}]}],["$","span","0-27-2",{"children":", "}],["$","a","0-27-3-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://iotex.io/discord","children":["$","span","0-27-3",{"children":"IoTeX"}]}],["$","span","0-27-4",{"children":", or "}],["$","a","0-27-5-link",{"className":"graf markup--anchor markup--anchor-readOnly","target":"_blank","rel":"noopener noreferrer nofollow","href":"https://weatherxm.com/discord","children":["$","span","0-27-5",{"children":"WeatherXM"}]}],["$","span","0-27-6",{"children":" if you found this PoC useful! There are so many ways you can build on what this demonstration showed, such as using:"}]]}],["$","ul","0-28",{"children":[["$","li","0-28-0",{"children":[["$","p","0-28-0-0",{"style":{"textAlign":"left"},"children":[["$","span","0-28-0-0-0",{"children":"WeatherXM’s weather station data in a compute or visualization workflow. 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