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Synthetic Electronic Health Record data generated at UCLH for the project: Po...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Quantifying detection limits of top-down methane monitoring infrastructures-D...
1-2 years sampled from GEOS-5 run. natural run and enhanced Yedoma thaw run. High latitude tall tower network TROPOMI soundings MERLIN soundings Scripts to add appropriate... -
Example (synthetic) electronic health record data
These data are modelled using the OMOP Common Data Model v5.3. Correlated Data Source NG tube vocabularies Generation Rules The patient’s age should be between 18 and 100 at the... -
Scrambled text: training Language Models to correct OCR errors using syntheti...
This data repository contains the key datasets required to reproduce the paper "Scrambled text: training Language Models to correct OCR errors using synthetic data". In addition... -
Synthetic Electronic Health Record data generated at UCLH for the project : A...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Synthetic Electronic Health Record data generated at UCLH for the project : M...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Synthetic Electronic Health Record data generated at UCLH for the project : N...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Synthetic Electronic Health Record data generated at UCLH for the project : M...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Harmonized in-situ observations of surface energy fluxes and environmental dr...
Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB... -
Harmonized in-situ observations of surface energy fluxes and environmental dr...
Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB... -
Harmonized in-situ observations of surface energy fluxes and environmental dr...
Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB... -
Literature synthesis data of surface energy fluxes and environmental drivers ...
Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB... -
Harmonized in-situ observations of surface energy fluxes and environmental dr...
Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In-situ observational data of SEB... -
SiDroForest: Synthetic Siberian Larch Tree Crown Dataset of 10.000 instances ...
This synthetic Siberian Larch tree crown dataset was created for upscaling and machine learning purposes as a part of the SiDroForest (Siberia Drone Forest Inventory) project.... -
Smashcima (2025-03-28)
Smashcima is a library and framework for synthesizing images containing handwritten music for creating synthetic training data for OMR models. It is primarily intended to be... -
Smashcima
Smashcima is a library and framework for synthesizing images containing handwritten music for creating synthetic training data for OMR models. It is primarily intended to be... -
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in...
The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital... -
Real and Synthetic data for Hypergraph Benchmarking (processed for the Hy-MMS...
This dataset contains the preprocessed real hypergraph data utilized in the experiments for "Generalized inference of mesoscale structures in higher-order networks", Ruggeri N.,... -
Top of Atmosphere, Hyperspectral Synthetic Dataset for PACE (Phytoplankton, A...
This synthetic dataset was created to provide a measurement error-free hyperspectral (350-800 nm, 5 nm resolution) dataset as part of research performed by the first NASA PACE... -
A dataset of 1500-word stories generated by gpt-4o-mini for 236 nationalities
We created a dataset of stories generated by OpenAI’s gpt-4o-miniby using a Python script to construct prompts that were sent to the OpenAI API. We used Statistics Norway’s list...
