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Data Seal of Approval (DSA)
The Data Seal of Approval (DSA) is a certification for repositories which in 2018 together with the ICSU Word Data System (WDS) was merged into CoreTrustSeal... -
TOP10Vector, digitaal topografisch bestand - versie 2003
Landsdekkend en zeer gedetailleerd topografisch bestand. TOP10vector is het meest gedetailleerde bestand dat het Kadaster vervaardigt. Het is een vectorbestand met een gesloten... -
Building outline extraction of Enschede, the Netherlands using aerial images ...
The data set contains image tiles and corresponding reference building polygons derived from PDOK for building polygon extraction. Date Submitted: 2021-11-08 Files not yet... -
gereviewde datasets in EASY
Peer review en recensies beperken zich doorgaans tot wetenschappelijke publicaties. De databestanden waarop wetenschappelijk onderzoek is gebaseerd, worden zelden expliciet... -
Experimental parameters for 'Modeling Dragons'; a NicheMapper modeling project.
These are experimental parameters, by experimental run, for dinosaur taxa included in the 'Modeling Dragon's research project using NicheMapper modeling software. R code is... -
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...