Find research datasets worth reusing

openCC0Jun 2022View details →

Stormwater Nitrogen in Arizona (SNAZ): runoff and stormwater-mediated export from urbanized catchments within the greater Phoenix metropolitan area, Arizona, USA (2010-2012)

Urbanization alters dramatically watershed ecosystem processes. Land-use change and anthropogenic activities contribute to increased inputs of nutrients and other materials, while changes to land cover alter hydrology and the corresponding movement of materials. These changes have ramifications for both watershed processes and downstream systems. The impacts of urbanization on aquatic systems are well-studied, and frequently encapsulated in the ‘urban stream syndrome’ (Walsh et al. 2005) that describes, among others, increased nutrient loading and stream flashiness. However, there is some evidence that aridland cities behave differently (Grimm et al. 2004, 2005), and the complex dynamics among catchment characteristics, storm attributes, and runoff in highly urbanized settings of the arid Southwest remains poorly understood. To enhance our understanding of stormwater dynamics and watershed functioning in aridland, urban environments, the Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) program began monitoring stormwater runoff at the outflow of the Indian Bend Wash (IBW) in 2008. The IBW is a tributary to the Salt River in central Arizona, and is a major drainage within the greater Phoenix metropolitan area, encompassing much of the City of Scottsdale. A model of soft engineering, the IBW as it runs through much of the City of Scottsdale is comprised largely of a series of artificial lakes, parks, paths, golf courses, ball fields, and other non-structural elements designed with the dual roles of providing outdoor amenities to the City residents while serving as an effective flood water conveyance feature. A unique biogeochemistry of this novel system is detailed by Roach et al. (2008), and Roach and Grimm (2011). Data and expertise garnered by stormwater monitoring near the outflow of the IBW helped pave the way for a more expansive stormwater research effort facilitated by a leveraged grant from the National Science Foundation (DEB-0918457, NSF Eco

Litter Decomposition in Response to Nitrogen Addition and Soil Warming at Harvard Forest 2010-2012

The purpose of this study is to examine whether two environmental change stressors (warming and nitrogen deposition) differentially impact litter decomposition. We investigated this using a two year litterbag decomposition experiment at the chronic N amendment experiment and the Barre Woods Soil warming experiment, and measured litter decay dynamics, enzyme activities and litter chemistry. In both years mass loss of the mixed litter was suppressed under N addition, with most of the mass loss observed in the first year compared to the second year (70% and 30% of total mass loss, respectively). Both years showed either increased activity for some hydrolytic enzymes (e.g. cellobiohydrolase) or no difference (e.g. ß-N-acetylglucosaminidase) with increased N. The lignolytic enzymes (e.g. peroxidases) showed no difference in activity in the first year, but had a highly reduced activity in year 2 under elevated N conditions. Soil warming did not significantly affect litter mass loss, and only had an effect on the activity of a few enzymes. In the oak reciprocal litterbag study, decay of oak litter originating from the highest N addition plot was negatively affected by simulated N deposition in the first year of decomposition, while after two years, simulated N deposition negatively affected all litter, and litter originating from the highest N addition plot decayed more slowly than control litter even without added N (i.e. in the control plot). In addition, in the first year of decomposition lignolytic enzyme activities were suppressed in litter originating from the N addition treatments, but due to simulated N deposition in year two.

Leaf Gas Exchange in the Clearcut Site at Harvard Forest 2010-2012

Clearcutting a forest ecosystem can result in a drastic reduction of the stand’s productivity. Despite the severity of this disturbance type, past studies have found that the productivity of young regenerating stands can quickly rebound, approaching that of mature undisturbed stands within a few years. One of the obvious reasons is increased leaf area with each year of recovery. However, a less obvious reason may be the variability in species composition and distribution during the natural regeneration process. The purpose of this study was to investigate to what extent the increase in GEP, observed during the first four years of recovery, in a naturally regenerating clearcut stand was due to 1) an overall expansion of leaf area, and 2) an increase in the canopy’s photosynthetic capacity stemming from either species compositional shifts or drift in physiological traits within species. We found that the multi-year rise in GEP following harvest was clearly attributed to the expansion of leaf area rather than a change in vegetation composition. Sizeable changes in relative abundance of species were masked by remarkably similar leaf physiological attributes for a range of vegetation types present in this early successional environment. Comparison of upscaled leaf-chamber to eddy-covariance-based light-response curves revealed broad consistency in both maximum photosynthetic capacity and quantum yield efficiency. The approaches presented here illustrate how chamber- and ecosystem-scale measurements of gas exchange can be blended with species-level leaf area data to draw conclusive inferences about changes in ecosystem processes over time in a highly dynamic environment.

Leaf Area in the Clearcut Site at Harvard Forest 2010-2012

This dataset contributed to an estimate of leaf area by species at the Prospect Hill clearcut regeneration site, used in a publication to attribute measured changes in gross primary productivity over time to either changes in species composition and associated traits versus changes in total leaf area. The file reports data on leaf area by species from destructive harvest in select plots. It also reports leaf area and leaf weight from destructive harvest of the foliage of select individual species to characterize the vertical distribution of foliage for those species. Corresponding measurements of total plant area recorded with a LAI-2000 before and after harvest of this foliage is reported as well, useful for inferring the leaf versus stem/branch portions of light interception as needed for improved estimates of LAI with the light-interception method. Lastly, below we report the result of an August 2012 site-level survey of plant area index measured with the LAI-2000 and converted to leaf area index.

Fluxes of Molecular Hydrogen (H2) at Harvard Forest EMS Tower 2010-2012

Molecular hydrogen (H2) is an atmospheric trace gas with a large microbe-mediated soil sink, yet cycling of this compound throughout ecosystems is poorly understood. Measurements of the sources and sinks of H2 in various ecosystems are sparse, resulting in large uncertainties in the global H2 budget. Constraining the H2 cycle is critical to understanding its role in atmospheric chemistry and climate. We measured H2 fluxes at high frequency in a temperate mixed deciduous forest for 15 months using a tower-based flux-gradient approach to determine both the soil-atmosphere and the net ecosystem flux of H2. The data presented here along with other data available at Harvard Forest can be used for efforts to model the H2 soil sink.

openCC0May 2024View details →

South Bay Salt Pond Restoration Project – Phase-1 (2010-2012) Sentinel Species Health Monitoring.

The South Bay Salt Pond Restoration Program (SBSPRP) is the largest wetland restoration project in the western United States, restoring approximately 15,000 acres of former salt evaporation ponds (southbaysaltpond.org) to benefit wildlife and fish populations. Restoration on a large scale comes with many risks and uncertainties. Therefore, restoration was planned in several phases, with an adaptive management approach and applied scientific studies to address the uncertainty of different restoration strategies. These strategies included breaching ponds to create fully tidal habitats, installing tide gates to create muted tidal habitats and active management of existing ponds. This mosaic of restoration designs was intended to benefit many species of salt marsh dependent biota, including birds, fish and mammalian species. The Longjaw Mudusucker (Gillichthys mirabilis) is a resident estuarine fish, ranging from Mexico to Humboldt Bay, California, USA, and is one of the most abundant fishes in high intertidal salt-marsh habitat. The Longjaw Mudsucker depends on high intertidal creeks in marshes dominated by pickleweed (Sarcocornia sp). The fish reside within burrows in soft sediments and is the only fish species that can remain in intertidal creeks during low tide when the creeks completely de-water. Longjaw Mudsucker have a wide tolerance range for salinity, up to 80-ppt and can be the only fish species to occupy industrial salt ponds in the San Francisco Estuary. In this study, UC Davis conducted minnow trap sampling in remnant pickleweed marshes and adjacent salt pond restorations to document the distribution, relative abundance, and condition (length-weight) of fish occupying these extant and restored habitats. During the pilot effort in late summer-fall of 2010 we conducted minnow trap sampling across a number of sites in the Alviso Marsh, Eden Landing Marsh, Ravenswood Marsh and Bair Island Marsh, sampling muted restoration ponds, tidal restoration ponds and remn

openCC (other)Jan 2020View details →

Meteorological data collected on Toolik Lake during the ice free season for 2010-2012, Arctic LTER, Toolik Research Station, Alaska

File describing the metological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate station and should not be confused with the Toolik Field Station Climate site (TFS Climate Station or Met Station) which is a terrestrial station (located on land). Note that this land station has been called the "Toolik Main Climate Station", and the station on the lake is located where the main lake sampling site is located so it has also been called the Toolik Lake Main Climate Station. Measurements include air temperature, relative humidity, wind speed and direction, and radiation.

openCC (other)Dec 2021View details →

Aggregate mesquite litter chemistry following soil-mixing and decomposition in a semi-arid grassland at the Jornada Basin LTER, 2010-2012

This dataset contains litter carbon content, nitrogen content, and associated chemistry data from a litter decomposition experiment at the Jornada Basin LTER in 2010 to 2012. To assess the role of soil-litter mixing (SLM) in aridland litter decomposition, litterbags were deployed in the Chihuahuan Desert and interrelationships between vegetation structure, SLM, and rates of decomposition were quantified. To assess the role of vegetation structure, litterbags were deployed in contrasting vegetation microsites, including grass, shrub, and bare ground microsites. This dataset contains litter chemistry data from the experiment including percent carbon, percent nitrogen, ash corrections, and the carbon to nitrogen ratio of litter in recovered bags. This study is complete.

openCC (other)Dec 2021View details →

Aggregate mesquite litter mass-loss following soil-mixing and decomposition in a semi-arid grassland at the Jornada Basin LTER, 2010-2012

This package contains litter mass loss data from a litter decomposition experiment at the Jornada Basin LTER. To assess the role of soil-litter mixing (SLM) in aridland litter decomposition, litterbags were deployed in the Chihuahuan Desert and interrelationships between vegetation structure, SLM, and rates of decomposition were quantified. To assess the role of vegetation structure, litterbags were deployed in contrasting vegetation microsites, including grass, shrub, and bare ground microsites. This dataset contains the mass-loss data (including ash-corrections) from the experiment. This study is complete.

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Brewster Glacier AWS data 2010-2012

Meteorological data collected over Brewster Glacier, New Zealand for the period October 2010-September 2012. The data sets have undergone quality control and are described in: Cullen, N. J. and Conway, J. P.: A 22 month record of surface meteorology and energy balance from the ablation zone of Brewster Glacier, New Zealand, Journal of Glaciology, 61, 931-946, 2015. Conway, J. P. and Cullen, N. J.: Cloud effects on surface energy and mass balance in the ablation area of Brewster Glacier, New Zealand, The Cryosphere, 10, 313-328, 2016. The data is the same as that submitted to the ESM SNOWMIP project in 2018.  The readme file gives a brief description of the data in each column. Please get in touch if you would like more details - jono.conway@niwa.co.nz or nicolas.cullen@otago.ac.nz

opencc-by-4.0Feb 2019View details →

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Hubbard Brook Experimental Forest: microbial biomass and activity at climate gradient plots, 2010-2012

In October 2010, as part of a study of the relationships between snow depth, soil freezing and nutrient cycling (http://www.ecostudies.org/people_sci_groffman_snow_summary.html), we established 6 20 x 20 m plots (intensive plots) and 14 10 x 10-m plots (extensive plots) following an elevation gradient, with eight of the plots facing north and twelve facing south. Seasonal (spring, summer autumn) measurements of soil nitrate (NO3-) and ammonium (NH4+) concentrations, microbial biomass carbon (C) and nitrogen (N) content, microbial respiration, potential nitrification and N mineralization rates, and denitrification potential occurred from 2010 – 2012. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jan 2020View details →

ECHAM5/MESSy v2.53.0 model (EMAC) formic acid and formaldehyde (2010-2012)

The dataset includes netcdf files with daily and montly averaged formic acid (HCOOH), formaldehyde (HCHO) and methanediol (HOCH2OH) volume mixing ratio profiles, along with ancillary data (e.g., pressure), simulated by the chemistry-climate model ECHAM5/MESSy v2.53.0 (EMAC) over 2010-2012. The monthly averaged data files also include the carbon monoxide (CO) volume mixing ratio profiles and the yield of CO from methane (CH4) oxidation. The data are available on a T63 horizontal grid, i.e. with a spherical truncation of T63 (corresponding to a quadratic Gaussian grid of approximately 1.9° by 1.9°), with 31 vertical hybrid levels. Three simulations are provided: 1) EMAC(base) is a reference simulation, 2-3) EMAC(dioh) and EMAC(diol) are simulations with explicit cloud chemistry of formaldehyde. The Modular Earth Submodel System (MESSy) is continuously further developed and applied by a consortium of institutions. The usage of MESSy and access to the source code is licensed to all affiliates of institutions which are members of the MESSy Consortium. Institutions can become a member of the MESSy Consortium by signing the MESSy Memorandum of Understanding. More information can be found on the MESSy Consortium Web-site (<a href="http://www.messy-interface.org">http://www.messy-interface.org</a>). The modifications used to produce this dataset have been implemented based on MESSy v2.53.0. The exact source code used to produce the results is archived at the Jülich Supercomputing Centre (JSC) in Jülich and can be made available to members of the MESSy community upon request. We encourage anyone who wants to use this dataset to contact the main developer Domenico Taraborrelli (d.taraborrelli@fz-juelich.de).

opencc-by-4.0Jan 2021View details →

FTIR measurements of formic acid (2010-2012)

The ground-based Fourier Transform InfraRed (FTIR) total column measurements of formic acid (HCOOH) reported here have been derived from high-resolution (between 0.004 and 0.011 cm-1) IR solar absorption spectra recorded regularly, under clear-sky conditions, at a suite of sites located at various latitudes. Most of them are affiliated with the Network for the Detection of Atmospheric Composition Change (NDACC; <a href="http://www.ndacc.org">http://www.ndacc.org</a>). End users of this data set are invited to contact the authors to make sure they are using the data properly and check about the possible availability of more recent products.

opencc-by-4.0Jun 2024View details →

Repository 2 of 2 of the Level 0 (raw FITS) images from the DMI Mauna Loa Earthshine telescope experiment (2010-2012)

<h2>Raw data upload</h2> These are tar files of the raw data obtained with the earthshine refractor conceived, designed and built by Danish Meteorological Institute and Lunds Observatory and operated on Mauna Loa at the NOAA observatory during 2011-2012. The present doi relates to one of two - each one holds  roughly 50Gb tar file. Get all  for the complete dataset. The other doi is: 10.5281/zenodo.11442378 The data are in the form of FITS files. There are data for 5 different photometric filters - Johnson B and V and then 3 red or nIR filters - IRCUT, VE1 and VE2. Some frames are without filters. Examples: 2455945.1760145MOON_B_AIR.fits.gz - image of the Moon through the B filter 2455945.0413946DARK_DARK.fits.gz - a DARK frame image taken with same exposure time as the adjacent MOON image.  A DARK is typically taken before and after all MOON images. The file-naming strategy for the file inside the archive files is simple - names start with the (fractional) Julian day of the observation, followed by target name and two indicators of the filters or other light-path devices that were used, e.g.: _VE1_AIR indicates the VE1 colour filter with just 'air' (ie nothing)  in the second option. The second option may include names of knife-edge devices or neutral density filters that could be inserted. There are also some FLAT images taken on inside of dome or of the sky or of the Hohlraum source. The MOON images may well be 100-image 3D-cubes taken within a minute or two. Future upgrades (in new dois, but in this Community) will include dark-frame subtracted, aligned and averaged images (Level 1). A Level 2 may include actual model fits of the full lunar disks, in which terrestrial albedo is a model-parameter. The file called "index_justJD.csv" lists which Julian days are present in which archive file. Note that some days are spread over several tar files. The images were acquired with the remotely-operated telescope by  Peter Thejll, Hans Gleinser, Chris Flynn, as well as Henriette Schwarz. Notes updated May 3 2024. Peter Thejll write pth@dmi.dk for queries

opencc-by-4.0Jun 2024View details →

Repository 1 of 2 of the Level 0 (raw FITS) images from the DMI Mauna Loa Earthshine telescope experiment (2010-2012)

<h2>Raw data upload</h2> These are tar files of the raw data obtained with the earthshine refractor conceived, designed and built by Danish Meteorological Institute and Lunds Observatory and operated on Mauna Loa at the NOAA observatory during 2011-2012. The present doi relates to one of two - each one holds  roughly 50Gb tar file. Get all  for the complete dataset. The other doi is:  10.5281/zenodo.11500335 The data are in the form of FITS files. There are data for 5 different photometric filters - Johnson B and V and then 3 red or nIR filters - IRCUT, VE1 and VE2. Some frames are without filters. Examples: 2455945.1760145MOON_B_AIR.fits.gz - image of the Moon through the B filter 2455945.0413946DARK_DARK.fits.gz - a DARK frame image taken with same exposure time as the adjacent MOON image.  A DARK is typically taken before and after all MOON images. The file-naming strategy for the file inside the archive files is simple - names start with the (fractional) Julian day of the observation, followed by target name and two indicators of the filters or other light-path devices that were used, e.g.: _VE1_AIR indicates the VE1 colour filter with just 'air' (ie nothing)  in the second option. The second option may include names of knife-edge devices or neutral density filters that could be inserted. There are also some FLAT images taken on inside of dome or of the sky or of the Hohlraum source. The MOON images may well be 100-image 3D-cubes taken within a minute or two. Future upgrades (in new dois, but in this Community) will include dark-frame subtracted, aligned and averaged images (Level 1). A Level 2 may include actual model fits of the full lunar disks, in which terrestrial albedo is a model-parameter. The file called "index_justJD.csv" lists which Julian days are present in which archive file. Note that some days are spread over several tar files. The images were acquired with the remotely-operated telescope by  Peter Thejll, Hans Gleinser, Chris Flynn, as well as Henriette Schwarz. Notes updated May 3 2024. Peter Thejll write pth@dmi.dk for queries

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Nutrient and tracer amounts for Tracer Additions for Spiraling Curve Characterization studies on arctic streams near Toolik Field Station, Alaska 2010 -2012.

The Changing Seasonality of Arctic Stream Systems (CSASN) was active from 2010 to 2012. The CSASN goal was to quantify the relative influences of through flow, lateral inputs, and hyporheic regeneration on the seasonal fluxes C, N, and P in an arctic river network, and to determine how these influences might shift under seasonal conditions that are likely to be substantially different in the future. There were a number of tracer addition for spiraling curve characterization (TASCC) and Plateau nutrient additions at each sampling location. The data in this file contains nutrient concentrations from each sampling event during each TASCC and Plateau addition during the CSASN project. This file contains all the information about each nutrient addition during the entire project.

openOpenDec 2015View details →

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IASI/Metop-A formic acid total column measurements v3R (2010-2012)

This dataset includes the formic acid (HCOOH) total columns (in molecules cm-2) obtained from the IASI/Metop-A satellite observations over 2010-2012, using the Artificial Neural Network for IASI (ANNI) v3R retrieval framework. The data are already filtered for clouds and poor measurement sensitivity. Description of the formic acid product and retrieval method can be found in Franco et al. (2018). Before the use of this dataset, please get in touch first with the main developers (Bruno Franco (bfranco@ulb.ac.be) and Lieven Clarisse (lclariss@ulb.ac.be) from which use advices and more recent product versions can be obtained. Franco, B., Clarisse, L., Stavrakou, T., Müller, J.-F., Van Damme,M., Whitburn, S., et al. (2018). A general framework for global retrievals of trace gases from IASI: Application tomethanol, formic acid, and PAN. Journal of Geophysical Research: Atmospheres, 123, 13,963–13,984. https://doi.org/10.1029/2018JD029633

openCC (other)Oct 2018View details →

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Greenfall litter decomposition of three common species in the northern Chihuahuan Desert, 2010-2012

Soil organic carbon (SOC) is derived primarily from the decomposition of plant biomass. Animals that create greenfall, or green leaf litter, influence SOC dynamics by altering the phenological condition and, therefore, nutrient quality of plant litter. Animals that transport greenfall to a microsite with different microhabitat conditions from those where senesced litter would typically be found also influence SOC dynamics by altering the prevalence of various decomposition drivers. Microsite differences are particularly pronounced in arid and semi-arid ecosystems with heterogeneous vegetation cover. We investigated differences in decomposition between greenfall and senesced litter of three common Chihuahuan Desert plants from which animals frequently generate greenfall (Larrea tridentata, Sporobolus flexuosus, Yucca elata), using a litterbag study to quantify differences in mass, carbon (C), and nitrogen (N) losses between green and senesced leaves placed in shrub intercanopy and subcanopy microsites in a desert shrubland. We hypothesized that decomposition would be more rapid in 1) greenfall than naturally senesced litter, because of the higher nutrient concentration in green than senesced leaves, and 2) in intercanopy than shrub subcanopy microsites, because of increased exposure to decomposition drivers like soil-litter mixing and photodegradation in the less vegetated open area between shrub canopies. Using a litterbag study, we quantified differences in litter mass, C, and N losses between green and senesced leaves placed in shrub subcanopy and intercanopy (open) microsites. Measured variables include litter mass and litter ash, carbon, and nitrogen content. We found that there were significant differences in the nutrient concentration of green and senesced leaves of the same species, and that both litter condition and microsite affected decomposition rate. For two of the three litter species, greenfall decomposed more rapidly than senesced litter, and for all

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ECHAM5/MESSy v2.53.0 model (EMAC) formaldehyde along the AURA satellite overpass (2010-2012)

The dataset includes netcdf files with daily formaldehyde (HCHO) volume mixing ratio profiles and ancillary data (e.g., pressure) simulated by the chemistry-climate model ECHAM5/MESSy v2.53.0 (EMAC) over 2010-2012. The data are available on a T63 horizontal grid, i.e. with a spherical truncation of T63 (corresponding to a quadratic Gaussian grid of approximately 1.9° by 1.9°), with 31 vertical hybrid levels.The model outputs are sampled along the Sun-synchronous satellite AURA orbits at the time and location of the OMI measurements. Three simulations are provided: 1) EMAC(base) is a reference simulation, 2-3) EMAC(dioh) and EMAC(diol) are simulations with explicit cloud chemistry of formaldehyde. The Modular Earth Submodel System (MESSy) is continuously further developed and applied by a consortium of institutions. The usage of MESSy and access to the source code is licensed to all affiliates of institutions which are members of the MESSy Consortium. Institutions can become a member of the MESSy Consortium by signing the MESSy Memorandum of Understanding. More information can be found on the MESSy Consortium Web-site (<a href="http://www.messy-interface.org">http://www.messy-interface.org</a>). The modifications used to produce this dataset have been implemented based on MESSy v2.53.0. The exact source code used to produce the results is archived at the Jülich Supercomputing Centre (JSC) in Jülich and can be made available to members of the MESSy community upon request. We encourage anyone who wants to use this dataset to contact the main developer Domenico Taraborrelli (d.taraborrelli@fz-juelich.de).

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ECHAM5/MESSy v2.53.0 model (EMAC) formic acid along the Metop-A satellite overpass (2010-2012)

The dataset includes netcdf files with daily formic acid (HCOOH) volume mixing ratio profiles and ancillary data (e.g., pressure) simulated by the chemistry-climate model ECHAM5/MESSy v2.53.0 (EMAC) over 2010-2012. It also includes the cloud and rain pH of large scale and convective clouds. The data are available on a T63 horizontal grid, i.e. with a spherical truncation of T63 (corresponding to a quadratic Gaussian grid of approximately 1.9° by 1.9°), with 31 vertical hybrid levels.The model outputs are sampled along the Sun-synchronous satellite Metop-A orbits at the time and location of the IASI measurements. Three simulations are provided: 1) EMAC(base) is a reference simulation, 2-3) EMAC(dioh) and EMAC(diol) are simulations with explicit cloud chemistry of formaldehyde. The Modular Earth Submodel System (MESSy) is continuously further developed and applied by a consortium of institutions. The usage of MESSy and access to the source code is licensed to all affiliates of institutions which are members of the MESSy Consortium. Institutions can become a member of the MESSy Consortium by signing the MESSy Memorandum of Understanding. More information can be found on the MESSy Consortium Web-site (<a href="http://www.messy-interface.org">http://www.messy-interface.org</a>). The modifications used to produce this dataset have been implemented based on MESSy v2.53.0. The exact source code used to produce the results is archived at the Jülich Supercomputing Centre (JSC) in Jülich and can be made available to members of the MESSy community upon request. We encourage anyone who wants to use this dataset to contact the main developer Domenico Taraborrelli (d.taraborrelli@fz-juelich.de).