cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/90205
title: C and N dynamics between grass litter, soil and the atmosphere determined using isotope tracing

description: Zip file includes: mostly numerical data in Excel spreadsheet format.
description: Metadata describing the data will be created in Ecological Metadata Language. A data package, including the data values and a metadata file, will be co-located within a landing page, which will be assigned a persistent identifier from Handle.net and include suggested citation verbiage. Data and metadata collected from the Konza LTER site will be harvested programmatically by the Long-Term Ecological Research Network Information System (https://portal.lternet.edu/nis/home.jsp), for use within data analysis and synthesis applications developed by the LTER community.
DOI: 10.25675/10217/82912
title: SGS-LTER historical LTER soil water-neutron probe field data from across the Central Plains Experimental Range, Nunn, Colorado, USA, ARS study number 10

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did npt vary systematically among slope positions.
DOI: 10.25675/10217/201557
title: MOR2 ecological data

description: Those listed as authors substantially designed instruments and data collection protocols, directly supervised data collection and collected data, designed database, and oversaw data entry and quality checking.
description: Additional acknowledgements (People listed assisted with field data collection, data entry, and establishment of on-line data archive): The following individuals helped with data collection or data entry and consulting: Adyabadam G., Ariunsukh, Ariunzaya, Arren A., Atarbold, Baagii, Bolormaa, Batkhishig B., Bayarmaa B., Brandon B., Bulgamaa, Bulgana U., Byambaa, D., Dejidmaa Ts., Erica C., Enkhjargal, Enkmunkh B., Gandiimaa, Ganjargal, Gankhuyag L., Gantsogt, Itgelt N., Jargal Ya., Jay A., Justin V., Khishigdorj, Khishigjargal B., Lkhagvasuren D., Lkhagvasuren, Lkhamdulam, Narangerel, Naransogt, Niah V., Odgarav J., Oyuntsetseg, Oyunsuvd S., Pagmajav D., Retta B., Sainchuluun A., Sergelen M., Solongo, Sophia L., Sukhbaatar, Sumjidmaa, Tsengelmaa L., Tserendash S., Tsogtbaatar J., Tumee, Turbagana, Undarmaa J., Unurzul A., Urlee, Vandandorj S., Zolzaya, other members of our great field teams, local government officers and supporters. The following individuals guided establishment of on-line data archive at Colorado State University: Tobin Magle, Mara Sedlins, Daniel Draper
description: The following institutions helped and participated in the project: Nutag Action Research Institute, Institute of Geo-Ecology, Research Institute of Animal Husbandry, Mongolian Society for Range Management, German Technical Cooperation (GTZ) , Institute of Botany, Institute of Meteorology and Hydrology, Institute of Chemistry and Chemical Technology, Mongolian State Agricultural University, Center for Ecosystem Studies, Texas A&M University and Colorado State University.
description: MOR2 ecological data were collected from 143 winter camps at three different grazing distances in four different ecological zones. Ecological field data includes soil pit descriptions, soul surface data including resource retention class and soil redistribution class data; site environmental data (i.e. metadata), and vegetation data including plant biomass by functional group and plant cover by species.
DOI: 10.25675/10217/172916
title: Pyrogenic organic matter and litter decomposition using isotope tracing-data

description: Zip file includes ReadMe, spreadsheet and csv files.
description: The use of dual 13C- and 15N-labeled leaf litter and pyrogenic organic matter in decomposition studies is a powerful method for identifying the amount, location, and transformation of organic matter inputs to the soil. The data reported here derive from the experiment described in Soong et al. 2015 and Soong et al. 2016. The experiment was designed: 1) to trace the fate of C and N from dual labeled decomposing Andropogon gerardii leaf litter and pyrogenic organic matter into the soil and roots; 2) to identify the microbial and nematode community composition and utilization of the isotopically labeled substrates over the course of 11 months.
DOI: 10.25675/10217/186043
title: Tablet field data collection (csv)

description: Data were collected in the field with high-resolution imagery loaded on computer tablets. Points were classified based on their dominant vegetation in three main categories: tamarisk, Russian olive, or absence. Dominance was defined as occupying greater than 50% of the canopy within a roughly 7 m radius circle. Collected information classified the status of tamarisk as either live, dead, a mixture of live and dead or having red foliage from tamarisk beetle attack (called "red phase tamarisk" in the data). Further, absence points were classified to indicate the dominant vegetation or land cover (i.e., water, bare ground, etc.) at that location.
description: The tamarisk & Russian olive data is mainly collected in Colorado, Utah and Arizona. Sampling is done opportunistically as land ownership, access, and logistics allow.
description: Users of these maps and other analysis products are solely responsible for interpretations made from these products. The Natural Resource Ecology Laboratory makes every effort to ensure this map is free of errors but does not warrant the map or its features are either spatially or temporally accurate or fit for a particular use. The Natural Resource Ecology Laboratory provides this map without any warranty, either express or implied.
description: This dataset contains 3,491 species occurrence and absence records for Russian olive (Elaeagnus angustifolia) and tamarisk (Tamarix spp.) along rivers within the Colorado River Basin in Arizona, California, Colorado, Nevada, New Mexico, and Utah.
DOI: 10.25675/10217/207807
title: Dataset associated with "Device Characterization on Energy Design and Scoping Tool for DC Distribution Systems and a Study on Harmonics in AC/DC Converters in Low Voltage Distribution" and "Efficiency of AC vs. DC Distribution Systems in Commercial Buildings”

description: AC appliances and converters were characterized in this study, having their current and voltage waveforms recorded at 15.36kHz. Harmonic analysis up to 7.68kHz is made, based on the data collected. Additionally, converters were loaded from 0% to 100% of their rated power, so their efficiency curve could be built. All this data is part of this dataset, and was collected during the years of 2019-2020, as one of the goals of the Energy Design and Scoping Tool for DC Distribution Systems project.
description: DC appliances have resurged with the evolution of power electronics and their massive application in Miscellaneous Electric Loads. The increase of DC distributed generation and battery storage also helped boosting the scientific community's attention to this other alternative. This work collects consumption data from appliances and converters connected to an AC distribution. The appliances that are focused in this study are also called Miscellaneous Electric Loads (MELs), which comprise all electronic loads in a building that are not related to lighting, heating, and air conditioning. Harmonics for these devices are analyzed, as this is part of a relevant project funded by the Department of Energy of the United States: the Energy Design and Scoping Tool for DC Distribution Systems. This work also presents results from another study, still within the scope of the same project, which aims to collect power consumption over a period of approximately two months of appliances commonly found in an office environment (laptop, screens, desktops, phone chargers and network devices). The data provided by this experiment will give a real estimate of these appliances' AC/DC converters operating range regarding their rated power. This will allow a more complete analysis to be carried out regarding the emission of harmonics in the power system and also a comparison between harmonic cancellation that is more likely to be occurring in low voltage distribution systems compared to the total cancellation potential.
DOI: 10.25675/10217/234038
title: Dataset associated with "Land use conversion to agriculture impacts biodiversity, erosion control and key soil properties in an Andean watershed"

description: This data set involves soil and plant variables collected from 50 farm and forest plots in a mountainous region of the Valle del Cauca Department of Colombia. Sampling was conducted in 2016 to evaluate soil biodiversity and ecosystem services provided across five dominant land uses in the region.
description: The conversion of natural vegetation to agricultural land uses in mountainous Andean landscapes threatens an array of key ecological processes and ecosystem services. In protected areas and buffer regions that provide water to cities, it is critical to understand how interactions between plants and soil communities sustain a range of ecosystem functions, associated with nutrient recycling, soil structure, and erosion control. We sought to understand how land use conversion within a mountainous tropical forest landscape influences the diversity of vegetation and soil macrofauna communities, soil physico-chemical properties, and hydrological regulation services. Biodiversity and a suite of key soil-based ecosystem services were compared in five major land uses of the Cali River watershed: 1) annual cropping systems, 2) coffee plantations, 3) pastures, 4) abandoned shrubland, and 5) secondary forests. The diversity of woody and herbaceous vegetation, as well as soil macrofauna was assessed in each land use. Soil chemical fertility and aggregate morphology were assessed via laboratory analyses and visual separation of soil aggregates based on their origin. Infiltration, runoff, and sediment production were measured using a portable rainfall simulator. We found a decrease in the diversity of woody vegetation across land-uses to be associated with lower diversity of soil macrofauna. At the same time, agricultural management, annual crops in particular, supports the largest earthworm populations, likely due to increased organic inputs and low impact tillage, which appears not to diminish soil fertility and water infiltration. In contrast, the low soil fertility in pastures was associated with the lowest values of soil C, poor aggregation, and high bulk density, and likely reflects overgrazing, with negative implications for water infiltration and erosion. Associations between the different sets of variables, evaluated with a co-inertia analysis, highlights the hierarchical relevance of plant cover and woody diversity on ecosystem services. The biological complexity associated with intact forest cover appears to generate "bundles" of co-occurring ecosystem services, with this land use demonstrating the highest infiltration, and low runoff and sediment losses. Our findings demonstrate that forests and tree-based agricultural systems may better contribute to the provision of multiple ecosystem services, including biodiversity conservation and hydrologic regulation.
DOI: 10.25675/10217/234375
title: Pingree Park Daily Mean Temperature Data from 1972 to 1977

description: This dataset contains daily mean temperature data from Pingree Park from 1972 to 1977. For each month, a monthly mean is also recorded. The monthly mean was also solved for as well in excel.
DOI: 10.25675/10217/173654
title: Shoot level spring current annual growth on experimental plots in Yellowstone's Northern Range, 2003-2015

description: Zip file includes: data; metadata files with metadata for column fields.
description: Data file and metadata sheet for column fields.
DOI: 10.5281/zenodo.7997171
title: Results for Case Study 5 of the openENTRANCE project

description: This dataset contains scenarios results for Case Study 5 of the openENTRANCE project. Visit the openENTRANCE Scenario Explorer at https://data.ece.iiasa.ac.at/openentrance for more information.
DOI: 10.5281/zenodo.7997172
title: Results for Case Study 5 of the openENTRANCE project

description: This dataset contains scenarios results for Case Study 5 of the openENTRANCE project. Visit the openENTRANCE Scenario Explorer at https://data.ece.iiasa.ac.at/openentrance for more information.
DOI: 10.25675/10217/222367
title: Forecast dataset associated with “From Random Forests to Flood Forecasts: A Research to Operations Success Story”

description: Schumacher, Hill, and Herman: Department of Atmospheric Science, Colorado State Universit; Klein, Nelson, and Erickson: NOAA Weather Prediction Center.
description: Gridded forecasts from the Colorado State University-Machine Learning Probabilities (CSU-MLP) system for excessive rainfall prediction over the continental United States. The dataset includes probabilistic forecasts for days 1, 2, and 3 from the 2017, 2019, and 2020 versions of the CSU-MLP forecast system. For the day 2 and 3 forecasts, daily forecasts are included from 19 June 2018 through 15 October 2020; for day-1 forecasts a period from 15 March 2019 through 15 October 2020 is used.
description: Because excessive rainfall is poorly defined and difficult to forecast, there is a need for tools for Weather Prediction Center (WPC) forecasters to use when generating Excessive Rainfall Outlooks (EROs), which are issued for the contiguous United States at lead times of 1--3 days. To address this need, a probabilistic forecast system for excessive rainfall, known as the Colorado State University-Machine Learning Probabilities (CSU-MLP) system, was developed based on ensemble reforecasts, precipitation observations, and machine learning algorithms, specifically random forests. The CSU-MLP forecasts were designed to emulate the EROs, with the goal being a tool that forecasters can use as a ``first guess'' in the ERO forecast process. Resulting from close collaboration between CSU and WPC and evaluation at the Flash Flood and Intense Rainfall experiment, iterative improvements were made to the forecast system and it was transitioned into operational use at WPC. Quantitative evaluation shows that the CSU-MLP forecasts are skillful and reliable, and they are now being used as a part of the WPC forecast process. This project represents an example of a successful research-to-operations transition, and highlights the potential for machine learning and other post-processing techniques to improve operational predictions.
DOI: 10.5281/zenodo.7997102
title: Results for Case Study 1 of the openENTRANCE project

description: This dataset contains scenarios results for Case Study 1 of the openENTRANCE project. Visit the openENTRANCE Scenario Explorer at https://data.ece.iiasa.ac.at/openentrance for more information.
DOI: 10.5281/zenodo.7997103
title: Results for Case Study 1 of the openENTRANCE project

description: This dataset contains scenarios results for Case Study 1 of the openENTRANCE project. Visit the openENTRANCE Scenario Explorer at https://data.ece.iiasa.ac.at/openentrance for more information.
DOI: 10.25675/10217/235393
title: Nitrous oxide emissions from 2008 to 2012 for agricultural lands in the conterminous United States

description: The soil N2O emissions data for the conterminous United States were generated by the DayCent ecosystem model using the crop and land-use histories for survey locations in the USDA-NRCS National Resources Inventory (NRI). The model also requires weather and soils data. Daily maximum/minimum temperature and precipitation data are based on gridded weather data from the PRISM Climate Data product. Soils data are obtained from Soil Survey Geographic Database (SSURGO). See Del Grosso et al. (2022) and US-EPA (2020) for more details about the simulations. Atmospheric inversions were conducted using the CarbonTracker Langrage framework (Nevison et al. 2018). These results provide total N2O fluxes for the domain using atmospheric observations and an inverse modeling, and are compared to the DayCent emissions to confirm seasonal patterns, particularly the role of freeze-thaw events in driving pulses of N2O emissions from agricultural lands.
description: Nitrous oxide (N2O) is an important greenhouse gas (GHG) that also contributes to depletion of ozone in the stratosphere. Agricultural soils account for about 60% of anthropogenic N2O emissions. Most national GHG reporting to the UN Framework Convention on Climate Change assumes nitrogen (N) additions drive emissions during the growing season, but soil freezing and thawing during spring is also an important driver in cold climates. We show that both atmospheric inversions and newly implemented bottom-up modeling approaches exhibit large N2O pulses in the northcentral region of the United States during early spring and this increases annual N2O emissions from croplands and grasslands reported in the national GHG inventory by 11%. Considering this, emission accounting in cold climate regions is very likely under-estimated in most national reporting frameworks. Current commitments related to the Paris Agreement and COP 26 emphasize reductions of carbon compounds. Assuming these targets are met, the importance of accurately accounting and mitigating N2O increases once CO2 and CH4 are phased out. Hence, the N2O emission under-estimate introduces additional risks into meeting long term climate goals.
DOI: 10.25675/10217/198163
title: Data collected during the pilot campaign of the citizen-enabled aerosol measurements for satellites (CEAMS) network in northern Colorado

description: Files include log files with all output from the AMOD device (including multi-wavelength aerosol optical depth values) for each participant (AD0**txt). To protect the privacy of participants, all GPS location data has been truncated in log files. Log files are separated by participant using unique alphanumeric identifier (bp###). Also included are files with aerosol mass (CEAMS Gravimetric and BC Results.xlsx) and elemental composition (CEAMS XRF Results.csv). Blank filters are noted in the files. Filters can be linked to log files by the log file name (last three numbers in log file name).
description: These measurement data were collected by participants using the Aerosol Mass and Optical Depth (AMOD) sampler during a pilot campaign for the Citizen-Enabled Aerosol Measurements for Satellites (CEAMS) network in Fall/Winter 2017 in northern Colorado. Data include multi-wavelength aerosol optical depth, filter mass and composition, and optical particle mass concentrations (for a subset of the files).
DOI: 10.25675/10217/201556
title: MOR2 organization profile survey data

description: Those listed as authors substantially designed instruments and data collection protocols, directly supervised data collection and collected data, designed database, and oversaw data entry and quality checking.
description: Additional acknowledgements (people listed assisted with field data collection, data entry, and establishment of on-line data archive): The following individuals helped with data collection or data entry in Mongolia: Amanguli, Ariuntuya, Azjargal J., Battuul B., Enkhmunkh B., Erdenechimeg B., Gantsetseg A., Narantuya N., Nomin-Erdene B., Odgarav J., Pagmajav D., Solongo Ts., Tamir L., Unurzul A., Uuganbayar B., Vandandorj S. The following individuals guided establishment of on-line data archive at Colorado State University: Tobin Magle, Mara Sedlins, Daniel Draper.
description: Organization level social data were collected from 142 pastoral groups.
DOI: 10.25675/10217/77676
title: SGS-LTER Bouteloua gracilis removal experiment vegetation data (ARS #155) on the Central Plains Experimental Range, Nunn, Colorado, USA

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Six sites approximately 6 km apart were selected at the Central Plains Experimental Range in 1997. Within each site, there was a pair of adjacent ungrazed and moderately summer grazed (40-60% removal of annual aboveground production by cattle) locations. Grazed locations had been grazed from 1939 to present and ungrazed locations had been protected from 1991 to present by the establishment of exclosures. Within grazed and ungrazed locations, all tillers and root crowns of B. gracilis were removed from two treatment plots (3 m x 3 m) with all other vegetation undisturbed. Two control plots were established adjacent to the treatment plots. Plant density was measured annually by species in a fixed 1m x 1m quadrat in the center of treatment and control plots. For clonal species, an individual plant was defined as a group of tillers connected by a crown (Coffin & Lauenroth 1988, Fair et al. 1999). Seedlings were counted as separate individuals. In the same quadrat, basal cover by species, bare soil, and litter were estimated annually using a point frame. A total of 40 points were read from four locations halfway between the center point and corners of the 1m x 1m quadrat. Density was measured from 1998 to 2005 and cover from 1997 to 2006. All measurements were taken in late June/early July.