DataSheet_2_Application of multi-regression machine learning algorithms to solve ocean water mass mixing in the Atlantic Ocean.zip by Cristina Romera-Castillo (3372212)

“…Other than potential temperature and salinity, additional semi-conservative and non-conservative variables have been used to solve the mixing of more than three water masses using Optimum Multi-Parameter (OMP) approaches. …”

DataSheet_1_Application of multi-regression machine learning algorithms to solve ocean water mass mixing in the Atlantic Ocean.zip by Cristina Romera-Castillo (3372212)

“…Other than potential temperature and salinity, additional semi-conservative and non-conservative variables have been used to solve the mixing of more than three water masses using Optimum Multi-Parameter (OMP) approaches. …”

Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 by Andrew Rogers (17623239)

“…</li><li>Core Tool: CPAs are generated using a custom fork of the source code (released with this Article) supplied by the Multi-criteria Analysis for Planning Renewable Energy (MapRE) initiative.…”

DataSheet_1_More than a whistle: Automated detection of marine sound sources with a convolutional neural network.pdf by Ellen L. White (13902189)

“…Advances in extracting ecologically valuable cues from the marine environment, embedded within the soundscape, are limited by the time required for manual analyses and the accuracy of existing algorithms when applied to large PAM datasets. In this work, a deep learning model is trained for multi-class marine sound source detection using cloud computing to explore its utility for extracting sound sources for use in marine mammal conservation and ecosystem monitoring. …”

gridded_livestock_mongolian_plateau_2000_2020 by Yaping Liu (20964836)

share data.rar by jiazheng ma (20551553)

“…</p><p dir="ltr">(2) In developing the NDVI simulation model for ephemeral plants, we integrated multi-source environmental data, incorporating GIS spatial analysis and fully utilizing the factor contribution module of the RF (Random Forest) algorithm and the prediction module of the CNN (Convolutional Neural Network) model, thereby perceiving and extracting local features between ephemeral plants and climate variables.…”

Table 1_Remote sensing-based assessment of four decades of land use/land cover change in the Sigi River Watershed, East Usambara Mountains, Tanzania.docx by Simon Chidodo (21572894)

“…</p>Methods:<p>Multi-temporal Landsat satellite images were classified using the Random Forest algorithm to assess LULC transitions across elevation and slope gradients.…”

Data_Sheet_1_Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies.docx by Dhanapal Susmitha (13026582)

“…The identified top 10 nutrient-specific and 15 multi-nutrient dense landraces can serve as promising sources for the development of biofortified lines in a superior agronomic background with a broad genetic base to fit the drylands. …”

Image_1_Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies.pdf by Dhanapal Susmitha (13026582)

“…The identified top 10 nutrient-specific and 15 multi-nutrient dense landraces can serve as promising sources for the development of biofortified lines in a superior agronomic background with a broad genetic base to fit the drylands. …”

Image_1_Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies.pdf by Dhanapal Susmitha (13026582)

“…The identified top 10 nutrient-specific and 15 multi-nutrient dense landraces can serve as promising sources for the development of biofortified lines in a superior agronomic background with a broad genetic base to fit the drylands. …”

Image_1_Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies.pdf by Dhanapal Susmitha (13026582)

“…The identified top 10 nutrient-specific and 15 multi-nutrient dense landraces can serve as promising sources for the development of biofortified lines in a superior agronomic background with a broad genetic base to fit the drylands. …”

Data_Sheet_1_Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies.docx by Dhanapal Susmitha (13026582)

“…The identified top 10 nutrient-specific and 15 multi-nutrient dense landraces can serve as promising sources for the development of biofortified lines in a superior agronomic background with a broad genetic base to fit the drylands. …”

Data_Sheet_1_Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies.docx by Dhanapal Susmitha (13026582)

“…The identified top 10 nutrient-specific and 15 multi-nutrient dense landraces can serve as promising sources for the development of biofortified lines in a superior agronomic background with a broad genetic base to fit the drylands. …”

Barro Colorado Island 50-ha plot crown maps: manually segmented and instance segmented. by Vicente Vasquez (13550731)

“…AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data. …”