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1. Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. at the Kellogg Biological Station, Hickory Corners, MI (2013 to 2017)

   https://doi.org/10.6073/pasta/6ab26c6ead42552a1d4f0261e8dac9bc  

   Hamilton, Stephen; McGill, Bonnie (January 2018, Environmental Data Initiative)

   Dataset Abstract Data for Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. original data source http://lter.kbs.msu.edu/datasets/176 

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2. LADPU Smart Meter Data

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   Souza, Vinicius; Estrada, Trilce; Bashir, Adnan; Mueen, Abdullah (January 2020, Dryad)

   This dataset contains the electric power consumption data from the Los Alamos Public Utility Department (LADPU) in New Mexico, USA. The data was collected by Landis+Gyr smart meters devices on 1,757 households at North Mesa, Los Alamos, NM. The sampling rate is one observation every fifteen minutes (i.e., 96 observations per day). For most customers, the data spans about six years, from July 30, 2013 to December 30, 2019. However, for some customers, the period is reduced. The dataset contains missing values and duplicated measurements.  This dataset is provided in its original format, without cleaning or pre-processing. The only procedure performed was for anonymization reasons. Thus, the data are not normalized, and it has missing values and duplicate entries (i.e., more than one measurement for the same time). However, these issues represent only a small portion of data. 

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3. Water Chemistry in Streams, Lakes Wetlands and Groundwater near the KBS LTER at the Kellogg Biological Station, Hickory Corners, MI (1996 to 2017)

   https://doi.org/10.6073/pasta/7d6bf23de4606e7a9794be6638b5736c  

   Hamilton, Stephen (January 2018, Environmental Data Initiative)

   Dataset Abstract Water chemistry is measured in diverse surface waters and in two water supply wells in the vicinity of the KBS LTER. This dataset includes sites sampled over time (streams, wells, some wetlands) as well as wetland sites sampled once or a few times. A separate dataset includes soil water chemistry sampled from the LTER treatments. original data source http://lter.kbs.msu.edu/datasets/50 

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4. KBS GLBRC Experiment at the Kellogg Biological Station, Hickory Corners, MI (1988 to 2019)

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   Robertson, G.; Simmons, Joseph; Sanford, Gregg; Thelen, Kurt (January 2020, Environmental Data Initiative)

   Dataset Abstract Great Lakes Bioenergy Research Consortium Sustainably Experiment activity logs and background information. original data source http://lter.kbs.msu.edu/datasets/63 

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5. A meteorology and snow dataset from adjacent forested and meadow sites at Crested Butte, CO, USA

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   Bonner, Hannah M.; Smyth, Eric; Raleigh, Mark S.; Small, Eric E. (January 2022, Zenodo)

   This dataset contains meteorology and snow observation data collected at sites in the southwestern Colorado Rocky Mountains during water years 2019-2021. Data collection had an emphasis on paired open-forest sites and included three forested elevations. In total, we present 270 snow pit observations, 4,019 snow depth measurements, and three years of meteorological forcing from two weather stations (one in a meadow, the other in an adjacent forest). The dataset is described in a forthcoming publication of the same name: A meteorology and snow dataset from adjacent forested and meadow sites at Crested Butte, CO, USA</em> (Bonner et al., 2022).</p> All snow observation and meteorological forcing data are available as both .nc and .mat files. Additionally, original digitized copies of snow pit observations are provided as .gsheet/.xlxs files.</p> This dataset will continue to be updated, via this repository, as additional years of data are collected.</p> 

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