JOSS Papers: data observability

Published Papers

published Published 5 months ago

pyDARTdiags: A Python package for manipulating observation sequences and calculating observation-space diagnostics for the Data Assimilation Research Testbed (DART)

Python

@hkershaw-brown

10.21105/joss.09439

published Published 9 months ago

Terragon: A Unified Framework for Earth Observation Data Cube Generation

Python

10.21105/joss.08857

published Published 10 months ago

Ivy: A Data Acquisition System for Distributed Sensor Networks Supporting Remote Configuration and Software Updates

Python

@dostuffthatmatters

10.21105/joss.08862

published Published 10 months ago

omock: A R package for Mock Data Generation for the Observational Medical Outcomes Partnership Common Data Model

R

10.21105/joss.08178

published Published about 1 year ago

eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis

Python Jupyter Notebook

10.21105/joss.07786

published Published over 1 year ago

modisfast: An R package for fast and efficient access to MODIS, VIIRS and GPM Earth Observation data

R

10.21105/joss.07343

published Published about 2 years ago

dataquieR 2: An updated R package for FAIR data quality assessments in observational studies and electronic health record data

R JavaScript

10.21105/joss.06581

published Published about 2 years ago

cuallee: A Python package for data quality checks across multiple DataFrame APIs

Python

10.21105/joss.06684

published Published about 5 years ago

registr 2.0: Incomplete Curve Registration for Exponential Family Functional Data

R C++

10.21105/joss.02964

published Published almost 8 years ago

bor: An R Package for Transforming Behavioral Observation Records into Data Matrices

R

10.21105/joss.00909

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