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Weather ballooning with radiosonde payloads can provide field-based, observational meteorological data for operational weather forecasts and research on the atmosphere and the climate. Despite the relatively low initial capital costs when comparing to aircraft/satellite methods, the costs of ground stations/trackers (GSTs) receiving and decoding the radiosonde telemetry may pose a significant financial challenge to institutions with limited resources and to flight missions with high temporal resolution (launch intervals of less than 3 hours). We conducted a Radiosonde and Ground Station/Tracker Intercomparison (RGSTI) study in April 2025 to evaluate some of the current low-cost GSTs options and the Sondehub (SH) multi-receiver radiosonde tracking network. Although yielding varied data based on radiosonde models, SH demonstrated less dependence on antenna alignment, longer radiosonde tracking and data telemetry, and the capacity of tracking multiple radiosondes with minimal hardware requirements and financial barriers. Our results provide a comprehensive review on the data matrix of different radiosonde/GST combinations and recommendations that may benefit the planning of future high temporal resolution radiosonde campaigns by the high altitude ballooning community. 

Abstract Single-cell ATAC-seq has emerged as a powerful approach for revealing candidate cis-regulatory elements genome-wide at cell-type resolution. However, current single-cell methods suffer from limited throughput and high costs. Here, we present a novel technique called scifi-ATAC-seq, single-cell combinatorial fluidic indexing ATAC-sequencing, which combines a barcoded Tn5 pre-indexing step with droplet-based single-cell ATAC-seq using the 10X Genomics platform. With scifi-ATAC-seq, up to 200,000 nuclei across multiple samples can be indexed in a single emulsion reaction, representing an approximately 20-fold increase in throughput compared to the standard 10X Genomics workflow.