Published February 12, 2025
| Version v1
Dataset
Open
Dried Drop Stains Analysis Files and Data / Batista et al, Digital Discovery, 2025
Description
This repository is in reference to detailed analyses in an article soon to be published in the RSC journal Digital Discovery: B. C. Batista et al. "High-throughput robotic collection, imaging, and machine learning analysis of salt patterns: ...", 2025. The provided information includes MATLAB scripts and csv files used for the analysis. Additional files include obj's for 3D printing (zipped) and ino's for RODI operation.
Files
allData_Unscored.txt
Files
(33.9 MB)
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md5:8c6540045b50dc08d383ab472f7d6383
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12.4 MB | Preview Download |
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md5:6166184cd73e0ad636e507c65c836569
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21.4 MB | Preview Download |
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md5:5d1aecb3f7dcef673acbb679b38d71a8
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2.4 kB | Download |
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md5:66731a8034962524c8e77020f36feec9
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4.2 kB | Download |
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md5:1de93da70d2e59915d733044ffa93981
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4.9 kB | Download |
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md5:4c0e3f577dbfc18830671b9289d8472d
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3.9 kB | Download |
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md5:04ffcfc79106d4e9f35373f423d99931
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2.3 kB | Download |
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md5:e2c3b710f1ccc99cdade979596911f30
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4.3 kB | Download |
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md5:51e13a5f6815085bd8c6d656e5694cc2
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5.6 kB | Download |
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md5:a2fafb35aa8a5c29ed44899318e6d271
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6.3 kB | Download |
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md5:6d705649bc7542592a085ce1171d4878
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2.9 kB | Download |
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md5:473c0446df95b1396f158a29832bf170
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939 Bytes | Download |
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md5:4ae11e5939e5d2aa6f655377c816f81e
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7.2 kB | Preview Download |
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md5:bc8bfe4441964487aa0341ff2800f4cd
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5.3 kB | Download |
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md5:bcbce791d891da382f5525a0665eb0d8
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49.0 kB | Preview Download |
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md5:ea95f789556fcc4d221eb622485504b5
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10.0 kB | Download |
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md5:d74f93063a6b92ba457256b0677f878c
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472 Bytes | Download |
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md5:6ccce43344ae4628fb2a373a74c84ecd
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28.0 kB | Download |
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md5:cb5a24166f1f7c01e1e11df90a3b3e90
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4.8 kB | Download |
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md5:d40fac6f133ff405a48f1969feaa637c
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4.7 kB | Download |
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md5:972f2ff970cc3ce9c5723c860d348d5c
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1.1 kB | Download |
Additional details
Software
- Repository URL
- https://github.com/osteinbock/RODI2024
- Development Status
- Active