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We selected Symptom and pathology datasets indexed by the Mendeley Data Search engine on the 2019-present COVID-19 / Coronavirus pandemic. The aim was to make it easier to find potentially relevant datasets for this specific topic
Data Types:
  • Collection
We selected Epidemiology datasets that are indexed by the Mendeley Data Search engine on the 2019-present COVID-19 / Coronavirus pandemic. The aim was to make it easier to find potentially relevant datasets for this specific topic.
Data Types:
  • Collection
We selected Vaccine research datasets indexed by the Mendeley Data Search engine on the 2019-present COVID-19 / Coronavirus pandemic. The aim was to make it easier to find potentially relevant datasets for this specific topic
Data Types:
  • Collection
We selected datasets that are indexed by the Mendeley Data Search engine on the 2019-present COVID-19 / Coronavirus pandemic. The aim was to make it easier to find potentially relevant datasets for this specific topic
Data Types:
  • Collection
this Data reveals all results founded in this research paper
Data Types:
  • Software/Code
  • Image
  • Dataset
  • Document
Results of reliability assessment of punching shear resistance models for flat slabs without shear reinforcement through three different reliability analysis techniques: Mean Value First Order Second Moment Method (MVFOSM), First Order Second Method (FOSM) and a Monte-Carlo Simulation with Importance Sampling (MC-IS).
Data Types:
  • Dataset
  • Text
Band gaps and Total Density of States for calculated lead-free perovskites
Data Types:
  • Dataset
  • Document
This data set contains the entry, descent and landing parameters of Mars lander with approximate estimation reference area, ballistic coefficient and drag force. These parameters have been gathered from research articles and reliable online resources
Data Types:
  • Dataset
  • Document
The dataset contains the data collected in a user study carried out to evaluate the impact of using domain knowledge, ontologies, in the creation of global post-hoc explanations of black-box models. The research hypothesis was that the use of ontologies could enhance the understandability of explanations by humans. To validate this research hypothesis we ran a user study where participants were asked to carry out several tasks. In each task, the answers, time of response, and user understandability and confidence were collected and measured. The data analysis revealed that the use of ontologies do enhance the understandability of explanations of black-box models by human users, in particular, in the form of decision trees explaining artificial neural networks.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Text
GIS data associated with Neugarten RA et al. 2020. Trends in protected area representation of biodiversity and ecosystem services in five tropical countries. Ecosystem Services 42:101078. Includes data from Cambodia, Guyana, Liberia, Madagascar, and Suriname Datasets included: country boundaries, protected areas in 2003 and 2017, biodiversity priority areas, forest cover in 2003 and 2015, forest carbon stocks, non-timber forest products, and freshwater ecosystem services
Data Types:
  • Other
  • Tabular Data
  • Dataset
  • Document