Irene Garousi-Nejad
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ABSTRACT:
STREAM is a collaborative framework designed to address the critical challenge of fragmented high-frequency water quality sensor datasets across the research community. STREAM provides standardized, integrated observations that enable synthesis and large-sample analyses previously limited by data accessibility. By bringing together sensor data from across the research community, STREAM enables hypothesis testing to understand temporal and spatial water quality dynamics at unprecedented scales.
This resource contains a subset of the STREAM data encoded in the Parquet file format.
ABSTRACT:
This resource is an archive of modeled National Water Model streamflow for six regions across Missouri and Vermont. The data is stored in the Parquet format to enable partial reads of the data without requiring full download.
ABSTRACT:
result
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Created: Aug. 8, 2023, 10:20 p.m.
Authors: Wu, Yen-Yi · Fowler, Kat · Beene, Daniel · Jordan, Mallory · de Orla-Barile, Marian · Orok, Hodo · Garousi-Nejad, Irene
ABSTRACT:
result
Created: Sept. 12, 2025, 5:16 p.m.
Authors: Castronova, Anthony M.
ABSTRACT:
This resource is an archive of modeled National Water Model streamflow for six regions across Missouri and Vermont. The data is stored in the Parquet format to enable partial reads of the data without requiring full download.
ABSTRACT:
STREAM is a collaborative framework designed to address the critical challenge of fragmented high-frequency water quality sensor datasets across the research community. STREAM provides standardized, integrated observations that enable synthesis and large-sample analyses previously limited by data accessibility. By bringing together sensor data from across the research community, STREAM enables hypothesis testing to understand temporal and spatial water quality dynamics at unprecedented scales.
This resource contains a subset of the STREAM data encoded in the Parquet file format.