Susquehanna Shale Hills CZO

Data Overview

List of Available Datasets (PDF) - Last updated 09 Feb 2016

CZO datasets are a powerful resource for developing and testing Earth system models. CZOs produce a large volume of data from a wide range of physical, chemical, and biological disciplines as well as spatial and temporal scales. This "flood" of disparate observational data partly reflects a new generation of integrated measurements. For example, most CZOs are using LIDAR imagery, copious isotopic samples, and low-cost sensors; others are also using eddy correlation and embedded sensor networks.

This research site, the focus of National Science Foundation-supported research since the 1970s, has comprehensive datasets on distributed water budgets (1970-75), has served as a model test bed for hydrological response (1998-present), and is augmented here by new geochemical, geomorphological, ecological, lidar, and soils datasets, all available to the research community.

Map of Catchment: Boundary and Instruments - Phase 2 (2013 - 2018)

Phase 1 Instrument Map

This is a "living map." As instruments are added, removed, or moved, location information will be updated as soon as is practical.

GroundHOG Soil Pits - Soil Moisture GroundHOG Soil Pits - SM, Sap, Gas
Stream Site Hyporheic Seepage
Wells Flux Tower
Meteorology COSMOS
Waterway Subwatershed Boundary

"Easting" and "Northing" are x and y geographic Cartesian coordinates in the NAD 1983 State Plane Pennsylvania South FIPS 3702 coordinate system. A "false easting" is added to the x-coordinate to eliminate negative values. The basis:

Projection: Lambert Conformal Conic
False Easting: 600000.0
False Northing: 0.0
Central Meridian: -77.75
Standard Parallel 1: 39.93333333333333
Standard Parallel 2: 40.96666666666667
Latitude Of Origin: 39.33333333333334
Linear Unit: Meter

Data Categories

Time Series Data

Geospatial Data

Geochemical / Geophysical Data

Shale Transect

Data Levels and Definitions

Level 0 = Raw data - Raw and unprocessed data and data products that have not undergone quality control.

Level 1 = Quality controlled data - Quality controlled data that have passed quality assurance procedures such as routine estimation of timing and sensor calibration or visual inspection and removal of obvious errors.

Level 2 = Derived products - Derived products that require scientific and technical interpretation and may include multiple-sensor data.

Level 3 = Interpreted products - Interpreted products that require researcher driven analysis and interpretation, model-based interpretation using other data and/or strong prior assumptions.

Level 4 = Knowledge products - Knowledge products that require researcher driven scientific interpretation and multidisciplinary data integration and include model-based interpretation using other data and/or strong prior assumptions.