Results of RF algorithm screening factors. حسب Jintao Li (448681)

Data description and sources. حسب Xiaodan Li (132227)

Data Sheet 1_Accurate and rapid single nucleotide variation detection in PCSK9 gene using nanopore sequencing.pdf حسب Ilaria Massaiu (3487946)

Data Sheet 2_Accurate and rapid single nucleotide variation detection in PCSK9 gene using nanopore sequencing.xlsx حسب Ilaria Massaiu (3487946)

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patient حسب Zhuang Wang (22542833)

Yellow River Basin Industrial Base Spatio-temporal Monitoring and Impact Assessment Dataset حسب Libing Wang (21723566)

"…</li><li><b>Fine-grained Feature Extraction and Classification Phase:</b> Contains sample data, intermediate processing results (e.g., representative slices of classification probability maps), and corresponding algorithm implementation codes used to illustrate how the "feature decoupling" strategy was applied to identify and classify various key features from high-resolution imagery.…"

Table 2_Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance... حسب Langlang Deng (22381786)

"…By applying machine learning algorithms, we identified coagulation-related genes in ESCC and developed a predictive model with clinical relevance. …"

Table 1_Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance... حسب Langlang Deng (22381786)

"…By applying machine learning algorithms, we identified coagulation-related genes in ESCC and developed a predictive model with clinical relevance. …"

Fig 7 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 3 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 6 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Season division. حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 8 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 4 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Main vegetation indices. حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 2 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 9 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 5 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Fig 1 - حسب M. Isabel Ramos (20565201)

"…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …"

Supplementary file 3_Optimising the selection of welfare indicators in farm animals.docx حسب Jon Day (19128586)

"…To enable algorithm development, the Coverage of each welfare indicator was first determined by calculating the number of unique welfare consequences to which it was linked. …"