Sample Tracking Database (STD)Entry ID: DB_STD
Abstract: The Sample Tracking Database (STD) was created to track samples from field work to various stages of shipping and storage through to analysis and possible disposal or destruction.
The Sample Tracking Database comprises two parts.
First and the most important is a Field based version written using Microsoft Access. Users in the field can enter barcoded sample references with details of location, ... sample weight, type of container it is in, collecting event date and the broad classification of the sample. Barcodes are also allocated to the containers (bins, fridges, shipping containers, drums etc).
Samples can be of any type - biological, rock, metal. samples can be contained in containers and those containers held in others. As a container or its contents are moved or split, the entire track of all its elements and weights is kept.
A uniquely allocated barcode is used across the entire AAD to track each element be it a container or samples itself within a container. The barcodes are allocated from a central register kept by the AADC. Each sample or container can have a user defined code such as FRED-1 that appears on any printed bar code. Movement events of a container are logged (along with the items contained in that container).
Tools have been developed to merge several field databases into one common database. This typically occurs when field databases are returned to the Kingston laboratories.
Containers and samples can be destroyed as they are consumed in any subsequent laboratory analysis. These events are also logged.
The second version is an Oracle database which can be accessed via a web-based application. This serves as a backup of the data and allows users anywhere in the Division complex to search for samples. Data is copied regularly from the Access field databases. This Oracle database and application is also used for barcode allocations, uploading data into Oracle, and as a download point for new copies of the Access database.
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Data Set Citation
Dataset Originator/Creator: Hydrological Sciences Laboratory at NASA/Goddard Space Flight Center (GSFC/HSL)
Dataset Title: NLDAS Primary Forcing Data L4 Monthly Climatology 0.125 x 0.125 degree
Dataset Release Date: 10.01.2012
Dataset Release Place: Greenbelt, Maryland, USA
Dataset Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC)
Version: 002Online Resource: http://disc.sci.gsfc.nasa.gov/hydrology
Start Date: 1980-01-01Stop Date: 2009-12-31
Latitude Resolution: 0.125 degree
Longitude Resolution: 0.125 degree
Temporal Resolution: monthly
Temporal Resolution Range: Monthly - < Annual
ATMOSPHERE > ATMOSPHERIC PRESSURE > SURFACE PRESSURE
ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE AIR TEMPERATURE
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > EVAPORATION
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > HUMIDITY
ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS
ATMOSPHERE > PRECIPITATION > RAIN
ATMOSPHERE > ATMOSPHERIC RADIATION > LONGWAVE RADIATION
ATMOSPHERE > ATMOSPHERIC RADIATION > SHORTWAVE RADIATION
ISO Topic Category
Quality The data are provisional and subject to change as model improvements are implemented and new input data sets become available.
Access Constraints None
Use Constraints None
Data Set Progress
Distribution Media: Online (HTTP)
Distribution Format: GRIB
Fees: No Fee
Role: TECHNICAL CONTACT
Email: gsfc-help-disc at lists.nasa.gov
Goddard Earth Sciences Data and Information Services Center Code 610.2 NASA Goddard Space Flight Center
Province or State: MD
Postal Code: 20771
Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. Wood, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, D. Lettenmaier, V. Koren, Q. Duan, K. Mo, Y. Fan, and D. Mocko, (2012), Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products, J. Geophys. Res., ... 117, D03109, doi:10.1029/2011JD016048.
Cosgrove, B. A., D. Lohmann, K. E. Mitchell, P. R. Houser, E. F. Wood, J. Schaake, A. Robock, C. Marshall, J. Sheffield, L. Luo, Q. Duan, R. T. Pinker, J. D. Tarpley, R. W. Higgins, and J. Meng (2003), Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project, J. Geophys. Res., 108(D22), 8842, doi:10.1029/2002JD003118.
Mahrt L., and M. Ek, 1984: The Influence of Atmospheric Stability on Potential Evaporation. J. Applied Meteorology, Vol 23, Issue 2, pp. 222–234. DOI: 10.1175/1520-0450(1984)023<0222:TIOASO>2.0.CO;2
Pinker, R. T., J. D. Tarpley, I. Laszlo, K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, D. Lohmann, B. A. Cosgrove, J. Sheffield, Q. Duan, L. Luo, and R. W. Higgins (2003), Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project, J. Geophys. Res., 108(D22), 8844, doi:10.1029/2002JD003301.
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2012-11-19
Last DIF Revision Date: 2013-01-18