Files composing the YADL data lake, for the paper "Retrieve, Merge, Predict: Augmenting Tables with Data Lakes (Experiment, Analysis & Benchmark Paper)"

Archives provided here follow the notation used for the experiments, which is different from what is reported in the paper. The four YADL versions available here are:

"binary_update" (YADL Binary) "wordnet_full" (YADL Base) "wordnet_vldb_10" (YADL 10k) "wordnet_vldb_50" (YADL 50k)

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A regional assessment of thermokarst lakes across the Arctic Coastal Plain of Alaska was conducted using satellite images to detect changes in lake coverage and morphometry during the satellite era. This effort was supplemented by the use of digital aerial photographs to extend the analysis back to ~1950, and to assess temporal patterns of change. The analyses were augmented by summer field studies focused on lake evaporation, seasonal and interannual changes in fundamental lake characteristics, and collection of lake water temperature and bathymetry in three study areas. The measurement program is designed to map patterns of shoreline changes, monitor interannual variations in lake levels, and estimate energy and moisture exchange between lakes and the atmosphere. In summer 2008, lakes near Barrow were studied and instrumented. In 2009, the focus was on lakes further inland near Atqasuk. In 2010, lakes near the Arctic Coastal Plain-Arctic Foothills were studied.

USGS 1:100,000 Scale Lakes Augmented with Coarser Scale Data.

One of the dominant uses of the Madison area lakes is for boating. In order to develop a long term data set on the temporal fluctuations and trends in such activity, the LTER project has obtained records of boat traffic that passes through the locks at the head of the Yahara River on its stretch between Lake Mendota and Lake Monona. This data was gathered by the Dane County Department of Public Works as part of the County''s ongoing monitoring of its own facilities and their use. This data set will be augmented as the Department of Public Works makes updates available. Data is currently only available through 2011. Sampling Frequency: tallied daily April through October; exact starting dates vary each year Number of sites: 1

Pressing scientific questions concerning the Greenland ice sheet's climatic sensitivity, hydrology, and contributions to current and future sea level rise require hydrological datasets to resolve. While direct observations of ice sheet meltwater losses can be obtained in terrestrial rivers draining the ice sheet and from lake levels, few such datasets exist. We present a new dataset of meltwater river discharge for the vicinity of Kangerlussuaq, Southwest Greenland. The dataset contains measurements of river stage and discharge for three sites along the Akuliarusiarsuup Kuua (Watson) River's northern tributary, with 30 minute temporal resolution between June 2008 and August 2010. Additional data of water temperature, air pressure, and lake water depth and temperature are also provided. Discharge data were measured at sites with near-ideal properties for such data collection. Regardless, high water bedload and turbulent flow introduce considerable uncertainty. These were constrained and quantified using statistical techniques, thereby providing a high quality dataset from this important site. The greatest data uncertainties are associated with streambed elevation change and measurements. Large portions of stream channels deepened according to statistical tests, but poor precision of streambed depth measurements also added uncertainty. Quality checked data are freely available for scientific use as supplementary online material.