{'fraction_non_alphanumeric': 0.024265644955300127, 'fraction_numerical': 0.019157088122605363, 'mean_word_length': 5.077519379844961, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Characterizing Giant Landslides

Analysis of global seismic data helps to catalog rock avalanches and understand how they form. [Also see Report by Ekström and Stark] In the late 19th century, the director of the Geological Survey of Switzerland, Albert Heim, described the massive landslide that in 1881 buried the Swiss town of Elm, with the loss of 115 people (1). Heim proposed that this landslide represented a hitherto unknown type of very large, fast mass movement. The deposits from such landslides—now generally called rock avalanches—have been found in all high mountain areas around the world. On page 1416 of this issue, Ekström and Stark (2) introduce a technique for the detection and characterization of rock avalanches that uses the global seismic monitoring network.