<b>Data Availability</b>
<p dir="ltr">Data Availability Statement:</p><p dir="ltr">The datasets and resources supporting this study are publicly available under the CC-BY 4.0 license via the following repositories:</p><p dir="ltr">Primary Data & Figures:</p&...
محفوظ في:
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| مؤلفون آخرون: | , , |
| منشور في: |
2025
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| _version_ | 1852021340806053888 |
|---|---|
| author | Bonyad Ahmadi (20750327) |
| author2 | Mehdi Gholamalifard (13102527) Seyed Mahmoud Ghasempouri (14620253) Tiit Kutser (21085589) |
| author2_role | author author author |
| author_facet | Bonyad Ahmadi (20750327) Mehdi Gholamalifard (13102527) Seyed Mahmoud Ghasempouri (14620253) Tiit Kutser (21085589) |
| author_role | author |
| dc.creator.none.fl_str_mv | Bonyad Ahmadi (20750327) Mehdi Gholamalifard (13102527) Seyed Mahmoud Ghasempouri (14620253) Tiit Kutser (21085589) |
| dc.date.none.fl_str_mv | 2025-04-14T11:49:04Z |
| dc.identifier.none.fl_str_mv | 10.6084/m9.figshare.28788245.v1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/_b_Data_Availability_b_/28788245 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Chemical oceanography Photogrammetry and remote sensing Data structures and algorithms CTD Machine learning remote sensing approach CDOM Persian gulf |
| dc.title.none.fl_str_mv | <b>Data Availability</b> |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p dir="ltr">Data Availability Statement:</p><p dir="ltr">The datasets and resources supporting this study are publicly available under the CC-BY 4.0 license via the following repositories:</p><p dir="ltr">Primary Data & Figures:</p><p dir="ltr">Raw in-situ measurements, satellite-derived CDOM products, and original figures (e.g., spatial maps, calibration plots) are hosted on Figshare.</p><p dir="ltr">Reproducibility Resources:</p><p dir="ltr">Python scripts for reproducing figures, preprocessing data, and training machine learning models (SVM, MLP, XGB, BRR, KRR).</p><p dir="ltr">python scripts documenting the implementation of the Mixture Density Network (MDN) algorithm, including hyperparameter tuning and uncertainty quantification.</p><p dir="ltr">Model Outputs & Validation:</p><p dir="ltr">Pre-trained MDN model weights and architecture files.</p><p dir="ltr">Validation metrics for all algorithms, alongside cross-validation results.</p><p dir="ltr">This comprehensive archive ensures full transparency, reproducibility, and reuse potential for coastal CDOM retrieval studies.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_59f5d6ca413dcce5e3a01bb3fd4bf77b |
| identifier_str_mv | 10.6084/m9.figshare.28788245.v1 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28788245 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | <b>Data Availability</b>Bonyad Ahmadi (20750327)Mehdi Gholamalifard (13102527)Seyed Mahmoud Ghasempouri (14620253)Tiit Kutser (21085589)Chemical oceanographyPhotogrammetry and remote sensingData structures and algorithmsCTDMachine learningremote sensing approachCDOMPersian gulf<p dir="ltr">Data Availability Statement:</p><p dir="ltr">The datasets and resources supporting this study are publicly available under the CC-BY 4.0 license via the following repositories:</p><p dir="ltr">Primary Data & Figures:</p><p dir="ltr">Raw in-situ measurements, satellite-derived CDOM products, and original figures (e.g., spatial maps, calibration plots) are hosted on Figshare.</p><p dir="ltr">Reproducibility Resources:</p><p dir="ltr">Python scripts for reproducing figures, preprocessing data, and training machine learning models (SVM, MLP, XGB, BRR, KRR).</p><p dir="ltr">python scripts documenting the implementation of the Mixture Density Network (MDN) algorithm, including hyperparameter tuning and uncertainty quantification.</p><p dir="ltr">Model Outputs & Validation:</p><p dir="ltr">Pre-trained MDN model weights and architecture files.</p><p dir="ltr">Validation metrics for all algorithms, alongside cross-validation results.</p><p dir="ltr">This comprehensive archive ensures full transparency, reproducibility, and reuse potential for coastal CDOM retrieval studies.</p>2025-04-14T11:49:04ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.28788245.v1https://figshare.com/articles/dataset/_b_Data_Availability_b_/28788245CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/287882452025-04-14T11:49:04Z |
| spellingShingle | <b>Data Availability</b> Bonyad Ahmadi (20750327) Chemical oceanography Photogrammetry and remote sensing Data structures and algorithms CTD Machine learning remote sensing approach CDOM Persian gulf |
| status_str | publishedVersion |
| title | <b>Data Availability</b> |
| title_full | <b>Data Availability</b> |
| title_fullStr | <b>Data Availability</b> |
| title_full_unstemmed | <b>Data Availability</b> |
| title_short | <b>Data Availability</b> |
| title_sort | <b>Data Availability</b> |
| topic | Chemical oceanography Photogrammetry and remote sensing Data structures and algorithms CTD Machine learning remote sensing approach CDOM Persian gulf |