| _version_ | 1866901884776742912 |
|---|---|
| author | PRETTI DIAS, MARCOS VINICIUS |
| author_facet | PRETTI DIAS, MARCOS VINICIUS |
| contents | <p>This dataset contains processed monitoring data of <em>Phakopsora pachyrhizi</em> (Asian soybean rust) collected through the <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">IDR-Paraná</span></span> Alerta Ferrugem network in the state of <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Paraná</span></span>. The monitoring system consists of physical spore collectors distributed across soybean-producing regions, each recording the first detection date of detected spores along with its geographic coordinates.</p> <p>The original monitoring data were obtained from publicly available records provided by the Alerta Ferrugem program. The raw dataset is organized as one CSV file per crop season, covering the following soybean seasons:</p> <ul> <li>2020–2021</li> <li>2021–2022</li> <li>2022–2023</li> </ul> <p>Paraná is located in southern <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Brazil</span></span> and borders the states of São Paulo, Santa Catarina, and Mato Grosso do Sul, as well as Paraguay and Argentina. The monitoring network provides standardized spatial coverage across the state's main soybean-producing regions.</p> <p>To ensure consistency and suitability for machine learning and epidemiological modeling, several preprocessing steps were applied, including:</p> <ul> <li>normalization of detection dates;</li> <li>spatial aggregation of nearby collectors into a regular geographic grid;</li> <li>removal of inconsistent or incomplete records;</li> <li>computation of temporal attributes derived from the crop season timeline.</li> </ul> <p>The processed dataset was used for both model training and evaluation in experiments on spatio-temporal prediction of Asian soybean rust spread.</p> <h2>Dataset Fields</h2> <p>The processed CSV files include the following main attributes:</p> <div class="TyagGW_tableContainer"> <div class="group TyagGW_tableWrapper flex flex-col-reverse w-fit"> <table class="w-fit min-w-(--thread-content-width)"> <tbody><tr> <th class="last:pe-10">Field</th> <th class="last:pe-10">Description</th> </tr> </tbody><tbody> <tr> <td><code>LatitudeDecimal</code></td> <td>Latitude of the monitoring collector in decimal degrees</td> </tr> <tr> <td><code>LongitudeDecimal</code></td> <td>Longitude of the monitoring collector in decimal degrees</td> </tr> <tr> <td><code>FirstSporeDate</code></td> <td>First date on which <em>P. pachyrhizi</em> spores were detected</td> </tr> <tr> <td><code>DetectionStatus</code></td> <td>Binary or categorical indication of spore detection</td> </tr> <tr> <td><code>SeasonStart</code></td> <td>Initial date of the soybean crop season</td> </tr> <tr> <td><code>DaysAfterSeasonStart</code></td> <td>Number of days elapsed since the start of the crop season</td> </tr> </tbody> </table> </div> </div> <p>The dataset is intended for research purposes involving epidemiological analysis, spatial modeling, graph-based learning, and forecasting of soybean rust dissemination.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20332429 |
| institution | Zenodo |
| language | por |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Asian Soybean Rust Spores Data - Parana,Brazil PRETTI DIAS, MARCOS VINICIUS Asian soybean rust soybean disease Paraná Brazil spores <p>This dataset contains processed monitoring data of <em>Phakopsora pachyrhizi</em> (Asian soybean rust) collected through the <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">IDR-Paraná</span></span> Alerta Ferrugem network in the state of <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Paraná</span></span>. The monitoring system consists of physical spore collectors distributed across soybean-producing regions, each recording the first detection date of detected spores along with its geographic coordinates.</p> <p>The original monitoring data were obtained from publicly available records provided by the Alerta Ferrugem program. The raw dataset is organized as one CSV file per crop season, covering the following soybean seasons:</p> <ul> <li>2020–2021</li> <li>2021–2022</li> <li>2022–2023</li> </ul> <p>Paraná is located in southern <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Brazil</span></span> and borders the states of São Paulo, Santa Catarina, and Mato Grosso do Sul, as well as Paraguay and Argentina. The monitoring network provides standardized spatial coverage across the state's main soybean-producing regions.</p> <p>To ensure consistency and suitability for machine learning and epidemiological modeling, several preprocessing steps were applied, including:</p> <ul> <li>normalization of detection dates;</li> <li>spatial aggregation of nearby collectors into a regular geographic grid;</li> <li>removal of inconsistent or incomplete records;</li> <li>computation of temporal attributes derived from the crop season timeline.</li> </ul> <p>The processed dataset was used for both model training and evaluation in experiments on spatio-temporal prediction of Asian soybean rust spread.</p> <h2>Dataset Fields</h2> <p>The processed CSV files include the following main attributes:</p> <div class="TyagGW_tableContainer"> <div class="group TyagGW_tableWrapper flex flex-col-reverse w-fit"> <table class="w-fit min-w-(--thread-content-width)"> <tbody><tr> <th class="last:pe-10">Field</th> <th class="last:pe-10">Description</th> </tr> </tbody><tbody> <tr> <td><code>LatitudeDecimal</code></td> <td>Latitude of the monitoring collector in decimal degrees</td> </tr> <tr> <td><code>LongitudeDecimal</code></td> <td>Longitude of the monitoring collector in decimal degrees</td> </tr> <tr> <td><code>FirstSporeDate</code></td> <td>First date on which <em>P. pachyrhizi</em> spores were detected</td> </tr> <tr> <td><code>DetectionStatus</code></td> <td>Binary or categorical indication of spore detection</td> </tr> <tr> <td><code>SeasonStart</code></td> <td>Initial date of the soybean crop season</td> </tr> <tr> <td><code>DaysAfterSeasonStart</code></td> <td>Number of days elapsed since the start of the crop season</td> </tr> </tbody> </table> </div> </div> <p>The dataset is intended for research purposes involving epidemiological analysis, spatial modeling, graph-based learning, and forecasting of soybean rust dissemination.</p> |
| title | Asian Soybean Rust Spores Data - Parana,Brazil |
| topic | Asian soybean rust soybean disease Paraná Brazil spores |
| url | https://doi.org/10.5281/zenodo.20332429 |