GML/HATS Data Policy
Measurement data is made available to the public and can be obtained by searching for specific data sets on the GML Data Search page, or directly from the GML ftp public data server.
DATA USAGE
These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. The availability of these data does not constitute publication of the data. NOAA relies on the ethics and integrity of the user to assure that GML receives fair credit for their work. If the data are obtained for potential use in a publication or presentation, GML should be informed at the outset of the nature of this work. If the GML data are essential to the work, or if an important result or conclusion depends on the GML data, co-authorship may be appropriate. This should be discussed at an early stage in the work. Manuscripts using the GML data should be sent to GML for review before they are submitted for publication so we can ensure that the quality and limitations of the data are accurately represented.
Every effort is made to produce the most accurate and precise measurements possible. However, we reserve the right to make corrections to the data based on recalibration of standard gases or for other reasons deemed scientifically justified.
We are not responsible for results and conclusions based on use of these data without regard to this warning.
RECIPROCITY AGREEMENT
Use of these data implies an agreement to reciprocate. Laboratories making similar measurements agree to make their own data available to the general public and to the scientific community in an equally complete and easily accessible form. Modelers are encouraged to make available to the community, upon request, their own tools used in the interpretation of the GML data, namely well documented model code, transport fields, and additional information necessary for other scientists to repeat the work and to run modified versions. Model availability includes collaborative support for new users of the models.