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TPE_01.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 564.5 KB - MD5: eaa1e986542f2293d4e5422ef2a0be6b
TPE_02.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 563.0 KB - MD5: 22f36e60979453ac299a9af5665a2928
TPE_03.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 564.7 KB - MD5: d98ae4915e36c0ffee8e1aa6e34115c3
TPE_04.json
Mar 17, 2025 - Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.
JSON - 562.9 KB - MD5: 13c114f99dad9321517fb4bd13a1e78b
VQA-MHUG
Mar 3, 2025 - Collaborative Artificial Intelligence
Sood, Ekta; Kögel, Fabian; Bulling, Andreas, 2024, "VQA-MHUG", https://doi.org/10.18419/DARUS-4428, DaRUS, V2
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA), collected using a high-speed eye tracker. To the best of our knowledge, this is the first resource containing multimodal human gaze data over a textual question and the corresponding image. Our corpus en...
README.md
Mar 3, 2025 - VQA-MHUG
Markdown Text - 4.2 KB - MD5: b8367a799da2dbfbb26a6ec4ebc67a5b
Dataset information and usage description
Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Feb 14, 2025 - Institute of Geodesy
Saemian, Peyman; Elmi, Omid; Stroud, Molly; Riggs, Ryan; Kitambo, Benjamin M.; Papa, Fabrice; Allen, George H.; Tourian, Mohammad J., 2024, "Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)", https://doi.org/10.18419/DARUS-4475, DaRUS, V2
The Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) dataset provides a comprehensive solution for addressing gaps in river discharge measurements by leveraging satellite altimetry. This dataset offers enhanced coverage for river discharge estimations by utilizing data from multiple satellite missions...
SAEM_Discharge_V01_1.nc
Feb 14, 2025 - Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Network Common Data Form - 22.7 MB - MD5: cade7f6ed55aeda48268db94a19a4dc7
SAEM_NPQMfunctions_V01_1.nc
Feb 14, 2025 - Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Network Common Data Form - 63.0 MB - MD5: aa5d93c1acac9356608e5884a83e231b
SAEM_VS_Catalogue_V01_1.nc
Feb 14, 2025 - Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Network Common Data Form - 4.1 MB - MD5: e26657075598cd9a260cb9e556721192
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