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The MODFLOW files and OCK co-variables used for the Maqu catchment, the Tibet...
The calibrated MODFLOW files for the Maqu catchment, and co-variables for OCK. -
Drone Orthomosaics & DEMs Adventdalen & Endalen summer 2024
Very high resolution (centimeter range) seasonal RGB orthomosaics & digital terrain models derived from DJI Mavic 2 Pro drone images using photogrammetry. See metadata in... -
Data from: "The future of algal blooms in lakes globally is in our hands"
The csv file "dataset_tigli_et_al_2024.csv" contains the main results of Tigli et al. (2024). The file cotains the yearly mean chlorophyll-a concentration in mg/m3 for each... -
High-resolution, laboratory acquired hyperspectral images of rock samples fro...
The data set consists of a series of 11 hyperspectral images of hydrothermally altered rock samples from the footwall of the Kangaroo Caves volcanogenic massive sulfide deposit... -
Data from Future scenarios for river exports of multiple pollutants by source...
In the future, rivers may export more pollutants to coastal waters, driven by socio-economic development, increased material consumption, and climate change. However, existing... -
CadastreVision: A benchmark dataset for cadastral boundary delineation from m...
Approximately 70%–75% of people worldwide have no formally registered land rights. Fit-For-Purpose Land Administration was introduced to address this problem and focuses on... -
Dashboard of Robust Landscape Drivers of LST in Diverse Landscape Characters
This dashboard reveals (49) robust landscape metrics (LMs) that have been confirmed (by at least two separate studies) to influence urban land surface temperatures (ULSTs) in... -
Replication Data for: Association of catchment characteristics to Budyko hydr...
Accurate quantification of precipitation partitioning into evapotranspiration and runoff is important for global water balance estimation and water resources management. The... -
Replication Data for: The divergence of energy- and water-balance evapotransp...
Evapotranspiration (ET) calculated as the residual of catchment water balance (ETWB) has often been used as a benchmark to evaluate satellite-based ET retrievals that use the... -
Data from: Modelling Future Coastal Water Pollution: impacts of point sources...
The csv files "Fig1_MARINA-Multi_model_results_2010_2100_per_subbasin" and "Fig2_MARINA-Multi_model_2100_AlternativeScenarios" contain the main results of Bak et al. (2024). The... -
Article data: How remote sensing choices influence ecosystem services monitor...
The enclosed data is linked to the article: del Río-Mena, T., Willemen, L., Vrieling, A., & Nelson, A. (2023). How remote sensing choices influence ecosystem services... -
Python functions -- cross-validation methods from a data-driven perspective
This is the organized python functions of proposed methods in Yanwen Wang PhD research. Researchers can directly use these functions to conduct spatial+ cross-validation,... -
Multimodal Deep Learning-Based Drought Monitoring Research for Winter Wheat D...
The minimum data set involved in the drought monitoring study of key growth stages of winter wheat based on multimodal deep learning, including wheat drought stress images, soil... -
Data set for Performance of the non-invasive point-of-care device, EzeCheck, ...
Data set for the submitted manuscript -
CROP GROWTH AND YIELD MONITORING IN SMALLHOLDER AGRICULTURAL SYSTEMS: A MULTI...
LAI, yield and crop calendar information was collected from rice and maize sample fields. This dataset contains the measurements at locations within the fields and the averages... -
High Resolution Remote Sensing Images from the Algerian steppic zone
As part of the EO AFRICA R&D MAPSPADES project (https://www.eoafrica-rd.org/research/research-projects-2023-2024), this dataset describes 877 high-resolution images... -
Data from: Large reductions in nutrient losses needed to avoid future coastal...
The csv files "MARINA-Nutrients_model_results_for_2050_per_basin", "sum_TDN_TDP_exports_by_rivers_for_Europe", "top_rivers_with_excess_TDN_export_for_2050" and... -
Adversarial validation for quantifying dissimilarity in geospatial machine le...
This data includes all datasets and codes for adversarial validation in geospatial machine learning prediction and corresponding experiments. Except for datasets (Brazil Amazon... -
Dissimilarity-adaptive cross-validation experiments and datasets
This data includes all datasets and codes for implementing dissimilarity-adaptive cross-validation experiments, datasets and code, Reademe.txt explains each file's meaning.... -
Data for research paper "Temporal complementarity drives nitrogen uptake in c...
The data contains above-ground biomass and N uptake of maize, wheat, faba bean, and pea that are relevant for the research paper "Temporal complementarity drives nitrogen uptake...
