Published August 25, 2021 | Version v1
Dataset Open

Machine learning-based evidence and attribution mapping of 100,000 climate impact studies - Data

Creators

  • 1. Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany; Priestley International Centre for Climate, University of Leeds, Leeds, LS2 9JT, UK.
  • 2. Climate Analytics, Berlin, Germany; Integrative Research Institute on Transformations of Human-Environment Systems, Humboldt University, Berlin, Germany.
  • 3. Climate Analytics, Berlin, Germany; Institute of Atmospheric and Climate Sciences, ETH Zürich, Switzerland.
  • 4. Climate Analytics, Berlin, Germany.
  • 5. NOAA/Geophysical Fluid Dynamics Laboratory. Princeton, NJ, 08540, USA
  • 6. Max Planck Institute for Biogeochemistry, Department Biogeochemical Integration, D-07701 Jena, Germany; Michael Stifel Center Jena for Data-driven and Simulation Science, Jena, Germany.
  • 7. Robert Bosch Stiftung GmbH, Berlin, Germany
  • 8. Climate Analytics, Berlin, Germany; Hanley Sustainability Institute, Renewable and Clean Energy Program and Physics Dept., University of Dayton, Dayton, Ohio, USA.

Description

Data for the paper Machine learning-based evidence and attribution mapping of 100,000 climate impact studies

Document Metadata

0c_doc_info.csv contains basic document metadata for each document considered in our study

Predictions

In each predictions file, 1 refers to a document hand-labelled as belonging to a category, and 0 refers to a document hand-labelled as not belonging to a category. All values in between are predicted values, where for values greater than 0.5, a document is considered likely to belong to the given category.

1_document_relevance.csv contains the predicted relevance of a document to the study.

1_driver_predictions.csv contains the predicted climate driver of each document.

1_impact_predictions.csv contains the predicted impact type of each document

Geographical data

Place_df.csv contains a row for each geographical entity automatically extracted from each study

Study_gridcell_2.5.csv contains a row matching each study with each grid cell covered by the study’s smallest mentioned geographical entity

Merged data

2_study_da.csv contains a row for each study describing the aggregated detection and attribution characteristics of the grid cells the study refers to

2_merged_da_data.csv contains a row for each grid cell describing the attribution categories and the number of weighted grid cells for each climate driver.

Files

0c_doc_info.csv

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