Data Package Summary   View Full Metadata

  • A Global database of methane concentrations and atmospheric fluxes for streams and rivers
  • Stanley, Emily; University of Wisconsin
  • Loken, Luke; University of Wisconsin
  • Crawford, John; Univeristy of Wisconsin
  • Casson, Nora; NTL LTER
  • Oliver, Samantha; University of Wisconsin
  • Gries, Corinna; University of Wisconsin
  • Christel, Samuel; Center for Limnology
  • 2015
  • This dataset, referred to as MethDB, is a collation of publicly available values of methane (CH4) concentrations and atmospheric fluxes for world streams and rivers, along with supporting information on location, geographic, physical, and chemical conditions of the study sites. The data set is composed of four linked tables, corresponding to the data sources (Papers_MethDB), the study sites (Sites_MethDB), concentrations (Concentrations_MethDB), and influx/efflux rates (Fluxes_MethDB). Information was extracted from journal articles, government reports, book chapters, and similar sources that were acquired before 15 September 2015. Concentrations and fluxes were converted to a standard unit (micromoles per liter for concentration and millimoles per square meter per day for flux) and both the author-reported and converted data are included in the database. MethDB was assembled as part of a larger synthesis effort on stream and river CH4 dynamics, and assembled data were used to identify large-scale patterns and potential drivers of fluvial CH4 and to generate an updated global-scale estimate of CH4 emissions from world rivers.
  • N: 90.0      S: -90.0      E: 180.0      W: -180.0
  • Data Policies Copyright Board of Regents, University of Wisconsin, Madison. This information is released to the public and may be used for academic, educational, or commercial purposes subject to the following restrictions: The Data User must realize that these data sets are being actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the NTL lead Principal Investigator,, to check on other uses of the data. Where appropriate, the Data User may be encouraged to consider collaboration and/or co-authorship with original investigators. The Data User must realize that the data may be misinterpreted if taken out of context. We request that you provide the NTL lead Principal Investigator, ATTN: Data Access, Center for Limnology, University of Wisconsin-Madison, 680 North Park St., Madison, WI 53706 with a copy of any manuscript using the data so that it may be reviewed and comments provided on the presentation of our data. The Data User must acknowledge use of the data by an appropriate citation (see Citation) of the NTL-LTER database. A generic citation for our databases is: name of data set, North Temperate Lakes Long Term Ecological Research program, NSF, contact person for data set, Center for Limnology, University of Wisconsin-Madison. The data set name and contact person for each data set can be found in the metadata header of the online data sets. The Data User must send two reprints of any publications resulting from use of the data to the address above. We would like to include such manuscripts in our LTER publications list. The Data User must not redistribute original data and documentation without permission from Emily Stanley, lead Principal Investigator, ( While substantial efforts are made to ensure the accuracy of data and documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The North Temperate Lakes LTER shall not be liable for damages resulting from any use or misinterpretation of data sets. Data users should be aware that we periodically update data sets. Our goal is to release all long term data associated with core research areas within 2 years of collection. These data and accompanying metadata will be available for download from the NTL-LTER web site. By using these data, the Data User agrees to abide by the terms of this agreement. Thank you for your cooperation.
  • doi:10.6073/pasta/21f5bd6642e9689baf90262f3c85ac4a
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