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Dataset results
24 results for “2013-2015”
Cascade project at North Temperate Lake LTER – Daily Respiration Data for Whole Lake Nutrient Additions 2013-2015
Daily estimates of ecosystem respiration and values of covariates from surface waters of Paul, Peter, and Tuesday lakes from mid-May to early September for the years 2013, 2014, and 2015. Inorganic nitrogen and phosphorus were added to Peter and Tuesday lakes each year while Paul Lake was an unfertilized reference.
Harvard Forest Summer Research Program in Ecology Alumni Survey 2013-2015
Program Context Since its inception in 1985, when a single undergraduate worked on a study of old-growth forests, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has developed into a thriving and well-coordinated program that is central to the educational and research mission of the biological field station. With core support since 1993 from a succession of NSF REU Site awards and NSF REU supplements, and with additional funding from Harvard University, HF-SRPE has grown to support 20-30 undergraduate students annually. Students are mentored by principle investigators and senior scientists in conducting research in ecology, soil science, paleoecology, wildlife biology, conservation biology, and atmospheric sciences. The research conducted by our HF-SRPE students contributes substantially to long-term scientific investigations supported by NSF’s Long-Term Ecological Research (LTER) and National Ecological Observatory Network (NEON), NASA Earth System Science Pathfinder (ESSP) – Earth Ventures (EV) programs, The Smithsonian Institution’s ForestGEO network of plots, and Department of Energy’s (DOE) National Institute for Global Environmental Change (NIGEC). The overarching objectives of the program are to: enhance the ability of students to undertake high-quality interdisciplinary research; build teams of researchers in which students bring different strengths to the table, collaborate on cutting-edge projects, and find their own intellectual “voice”; encourage students to link fundamental and applied issues in their research; and cultivate the next generation of ecological scientists and educators that reflects the diversity of backgrounds and experiences of students in the United States. Problem Statement Starting in 2005 the National Science Foundation (NSF), as one of the largest funders of undergraduate research programs, began emphasizing the use of project evaluations to both qualitatively and quantitatively measure the success of REU programs (R
Cascade project at North Temperate Lakes LTER - High Frequency Data for Whole Lake Nutrient Additions 2013-2015
High frequency continuous data for temperature, dissolved oxygen, pH, chlorophyll a, and phycocyanin in Paul, Peter, and Tuesday lakes from mid-May to early September for the years 2013, 2014 and 2015. Inorganic nitrogen and phosphorus were added to Peter and Tuesday lakes each year while Paul Lake was an unfertilized reference.
Cascade project at North Temperate Lakes LTER - Daily Chlorophyll Data for Whole Lake Nutrient Additions 2013-2015
Daily chlorophyll for surface water samples in Paul, Peter, and Tuesday lakes from mid-May to early September for the years 2013, 2014 and 2015. Inorganic nitrogen and phosphorus were added to Peter and Tuesday lakes each year while Paul Lake was an unfertilized reference.
Site Location and Environmental Characteristics for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Accoss Interior Alaska. Sampled in 2008-2010 and 2013-2015.
This dataset contains the GPS location, slope, orientation, elevation, forest type based on dominant tree biomass, Age, sampling year, total vascular cover, total lchen cover, deciduous index (Alexander et al. 2012, Ecosphere), basal area of black spruce, Alaska paper birch, trembling aspen, large deciduous shrubs and trembling aspen, organic layer depth, pH, heatload, approximated moisture class for all sites (Johnstone et al. 2008), gravimetric moisture content, and volumetric moisture content. This dataset was part of the site-level covariates used in a study of bryophyte post-fire succession in deciduous and coniferous successional trajectories. NOTE: there is some overlap between the >20 years old sites that were sampled by Heather Alexander with some of the data she submitted in relation to her 2012 Ecosphere paper.
Vegetation Data Collected with Point Frame for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Across Interior Alaska. Sampled in 2008-2010 and 2013-2015.
This dataset contains point frame data for vegetation less than 1.3 m, including vascular plants, bryophytes, lichens, leaf litter and bare ground, as well as species codes used, as described in Jean et al. 2017 Canadian Journal of Forest Research. Samples of all encountered unknown species were collected for identification in the lab. Bryophyte nomenclature followed Anderson et al. (1990).
Bryophyte Cover Summary Data for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Across Interior Alaska. Sampled in 2008-2010 and 2013-2015.
This dataset contains the summarized bryophyte (percent cover) data obtained from point frame measurements, as used in Jean et al. 2017 Canadian Journal of Forest Research. ?Samples of all encountered unknown species were collected for identification in the lab. Bryophyte nomenclature followed Anderson et al. (1990).
Alberta Bog Net Nitrogen Mineralization, 2013-2015
Alberta bogs are subject to periodic wildfire. Although these bogs have persisted under low atmospheric nitrogen deposition (less than 2 kg N/ha/yr), nitrogen deposition in northern Alberta is increasing due to ongoing oil sands development. This study examined how time since fire and experimental N deposition affects nitrogen mineralization in near-surface bog peat. Net nitrogen mineralization (ammonification, nitrification, dissolved organic N production) was quantified using the buried bag technique in 5 Alberta bogs differing in time since fire. At each site, 24 2.4 _ 4.8 m plots were established, with 6 replicate plots receiving one of four N addition treatments: controls (receiving no water or N), H2O controls (receiving water, but no N; 0 kg N ha-1 yr-1), and 10 and 20 kg N ha-1 yr-1, applied as NH4NO3 dissolved in 15 L of H2O and applied via backpack sprayer eight times during each summer field season. We established plots and began N additions in 2011 at the Utikuma Bog site and in 2013 for the other four sites. This study is published as: Stuart JEM, Wieder RK, Vile MA (2018) Net Nitrogen Mineralization in Alberta Bog Peat is Insensitive to Experimentally Increased Nitrogen Deposition and Time Since Wildfire. Biogeochemistry, in press.
Flower and Leaf Phenology of Interior Alaska Forbs and Shrubs as Observed Near Fairbanks Alaska from 2013-2015
This dataset contains the dates of phenological phases for leaves and flowers of 42 species of forbs and shrubs (2 subspecies of one species) observed throughout the growing season in 2013, 2014 and 2015. Data were collected in three general areas: in the Bonanza Creek Experimental Forest, on the University of Alaska Fairbanks Campus, and in the woods near Pearl Creek Elementary School. Species are classified by origin (native or non-native), growth form (forb, dwarf shrub, or tall shrub), leaf habit (deciduous, wintergreen or evergreen), plant life history (annual, biennial, or perennial), and habitat (black spruce forest, mixed deciduous / coniferous forest, or disturbed habitat).
Stable Isotope Data for Small Pelagic Fishes across the Northeast U.S. Continental Shelf from 2013-2015
These data represent the carbon and nitrogen stable isotope signatures of small pelagic fishes across the Northeast U.S. Continental Shelf as reported by Suca, J.J., et al. (2018) Feeding dynamics of Northwest Atlantic small pelagic fishes. Progress in Oceanography, 165, 52-62, https://doi.org/10.1016/j.pocean.2018.04.014. The five species of fish in this dataset represent a subset of the species collected in bottom trawls conducted by the NOAA NEFSC Ecosystems Survey Branch from Cape Hatteras to the Gulf of Maine for years 2013-2015. Sampling occurred in the Spring and Fall seasons. Sections of dorsal musculature were analyzed for carbon and nitrogen isotopes using mass spectrometry. Carbon-to-nitrogen isotopic ratios were reported along with the isotopic signatures for carbon and nitrogen respectively. Additionally, a lipid-corrected carbon signature was calculated for the fish muscle tissue. The dataset was supplemented with geospatial and temporal information from NOAA Fisheries trawl databases.
High Mountain Asia glacier velocities 2013-2015 (Landsat 8)
<p>This dataset contains the median glacier surface velocity for the Pamir-Karakoram-Himalaya for the years 2013-2015 (Landsat 8 only). The velocities has been obtained by feature-tracking of Landsat images spaced 1 year apart.</p> <p>The folder contains the following fields at 120 m resolution in GeoTiff format:</p> <p>- the velocity magnitude 'vel' (meters per year)</p> <p>- the x/y velocity components x_vel/y_vel (meters per year)</p> <p>- the associated errors err, x_err, y_err (meters per year)</p> <p>- the standard deviation of all the merged velocities 'std' (meters per year)</p> <p>- the number of image pairs that have been merged in the median</p> <p> </p> <p>I recommend filtering data with error larger than 10 m/yr.</p> <p>For more information and any use of the data, please refer to Dehecq, A., Gourmelen, N., Trouve, E., 2015. Deriving large-scale glacier velocities from a complete satellite archive: Application to the Pamir–Karakoram–Himalaya. Remote Sensing of Environment 162, 55–66. <a href="https://doi.org/10.1016/j.rse.2015.01.031">https://doi.org/10.1016/j.rse.2015.01.031 </a></p>
Ice draft measurements from NABOS ULS, 2013-2015 at 82N 97E
<p>This data was obtained from the mooring of Nansen and Amundsen Basins Observational System (NABOS) at 82°N 97°E (the north coast of Severnaya Zemlya Archipelago). This mooring was deployed in September 2013 and recovered in September 2015.</p>
NH and ME Landsat chlorophyll-a retrieval algorithms and in situ measurements 2000 (Landsat 7), 2013-2015 (Landsat 8)
Predicting algal blooms has become a priority for scientists, municipalities, businesses, and citizens. Remote sensing offers solutions to the spatial and temporal challenges facing existing lake research and monitoring programs that rely primarily on high-investment, in situ measurements. Techniques to remotely measure chlorophyll-a (chl-a) as a proxy for algal biomass have been limited to specific large water bodies in particular seasons and narrow chl-a ranges. Thus, a first step toward prediction of algal blooms is generating regionally robust algorithms using in situ and remote sensing data. This study explores the relationship between in-lake measured chl-a data from Maine and New Hampshire lakes and remotely-sensed chl-a retrieval algorithm outputs. Landsat 8 images were obtained and then processed after required atmospheric and radiometric corrections. Six previously developed algorithms were tested on a regional scale on eleven scenes from 2013-2015 covering 192 lakes. Additionally, data related to one Landsat 7 scene (2000) are included in this data set. Boucher, J, K.C. Weathers, H. Norouzi, B. Steele. In Press. Assessing the effectiveness of Landsat 8 chlorophyll-a retrieval algorithms for regional freshwater monitoring. Ecological Applications.
Sphagnum fuscum Capitulum Density, Mass, and N Concentrations From N-Addition Plots in an Alberta Peatland, 2013-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. Bogs, being ombrotrophic, may be especially susceptible to increasing N deposition. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a bog near Mariana Lakes, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). From 2013-2015, we examined the effects of N addition on changes in S. fuscum capitulum mass density, N concentrations, and N contents in plants collected in early July (summer) and early October (fall). In each year, capitulum mass density decreased with increasing N input at equal rates in summer-collected and fall-collected plants, although CMD was consistently higher in fall-collected than in summer-collected plants. For both summer- and fall-collected plants, capitulum N concentrations were unaffected by N inputs, although N concentrations were consistently higher in summer (14.4 ± 0.3 mg g-1) than in fall (0.7 ± 0.1 mg g-1). Combining CMD and capitulum N concentrations, capitulum N contents overall averaged 1.16 ± 0.04 g m-2. Capitulum N contents decreased with increasing N input, with the response being stronger in 2013 than in 2014/2015 . These results, combined with stem and capitulum responses at Mariana Lakes Bog, suggest that increasing N loading affects not only S. fuscum NPP, but also the way in which S. fuscum grows.
Picea mariana Growth, Leaf N Concentration and Assimilation in a Bog Exposed to Nitrogen Treatments, 2013-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. Bogs, being ombrotrophic, may be especially susceptible to increasing N deposition. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a bog near Mariana Lakes, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). In September 2013-2015, we measured annual leader extension of Picea mariana on four trees (0.5-2.5 m tall) per plot. Using a visually estimated P. mariana density at Mariana Lakes Bog of 1 tree m-2, and N concentrations in P. mariana needles, we calculated annual N assimilation attributable to new needle production. Annual leader extension and tree growth increased with increasing N input, with the response becoming more pronounced from 2013 through 2015. Picea mariana needle N concentrations also increased with increasing N input, at a modest, but significant rate that was consistent across all years while water addition alone had no significant effect on P. mariana leader extension, growth, needle N concentration, or N assimilation in any of the years of measurement (p >= 0.54). At Mariana Lakes Bog, the effect of N addition on P. mariana NPP became more pronounced over time. We cannot determine the extent to which the progressively steeper P. mariana growth response to N deposition represents a cumulative effect of added N or is related to interannual differences in temporal climatic variables.
Visbestandopnames in Vlaanderen in het kader van het Referentiemeetnet-Bemonsteringsresultaten 2015 en een overzicht van de resultaten 2013-2015
<p>This data set provides the data as represented in the corresponding report, presenting the results of fish surveys performed in 2015 in rivers and canals. These surveys were done in the framework of the 'Reference Freshwater Monitoring’. In addition the results provide the biological information (fish) required by the European Water Framework Directive (WFD). The raw data is published on GBIF and can be derived as such, this data set provides the data as provided in the individual and corresponding figure of the report. </p> <p>We also provide an overview of the results 2013-2015 as we completed cycle 1 (spread over 3 years) in the framework of WFD.</p> <p>The 2015 results are displayed per basin and concisely discussed in several chapters.</p> <p>We surveyed 25 locations in 2015. We used electro fishing, fyke nets, trawl netting or a combination (multi-method) of these methods.</p> <p>The 25 sites are located in 25 water bodies, of which 13 are Flemish water bodies and 12 local water bodies. There were only three sites without fish.</p> <p>We discuss the occurrence of the species for the period 2013-2015 survey results. We also compare the EQR values (Ecological Quality Ratio) as these are a measure of the ecological condition of the water body and are therefore important in the context of the Water Framework Directive.</p> <p>The results are briefly discussed in several chapters, and a comparison was made with earlier EQR scores (period of 2010-2012).</p> <p>We surveyed 199 locations in the period 2013-2015. We caught 42 fish species. In 96.5% of the sites fish was present. With a presence in 58% of the sites, eel and the three-spined stickleback, were the most frequently caught species, followed by roach in 48% of the sites, then perch (47%) and gudgeon (42%).</p> <p>167 locations on rivers and streams were sampled. The sites are located in 63 different local water bodies and 68 different Flemish water bodies. Only 8% of the waterbodies were in a ‘good condition’. Most of the sampled water bodies were in a ’moderate condition‘ (44%). 30% of the water bodies were in a 'poor state' and 20% of the water bodies had a 'bad quality’.</p> <p>The local water bodies have the least locations with a ‘good condition’. Only 3% were in a 'good condition,' while 33% were in a ‘poor state’. For the Flemish water bodies, 12% were in a ‘good condition’ while only 9% were in a state of ‘poor quality’.</p> <p>If we look at the water bodies in each stratum, we see that water courses of the type "small stream" were in the worst shape. About 35% of these water bodies were in a’ bad state’ and only 4% were in ‘good condition’. The type “big stream and small river” had the best scores. The bulk scored a ‘moderate quality’. This stratum contains water bodies having the largest share of the ‘good quality’class (14%).</p> <p>At basin level, the River Nete basin scored best, 23% of the water bodies were in ‘good condition’ followed by the River Maas basin, where 12.5% of the sampled water bodies were in the ‘good condition’ status.</p> <p>For EQR results of channels we have data from 31 sites located in 19 different water bodies; 17 Flemish water bodies and two local water bodies. The major part of the water bodies was in the category ‘poor quality’ (58%) while 10% achieved a ’good ecological potential’.</p> <p>From 118 water bodies type "river" and 17 water bodies type "artificial river" (channels) we have EQR values for both cycles 2010-2012 and 2013-2015. 47% of the water bodies remain in the same class, for24% of the water bodies the quality class increased by 1 and for 5% of the water bodies the EQR class increased by two or three classes. 21% of water bodies decreased by one class, 2% decreased by two or three classes.</p>
Geostatistical data of summertime rainfall and water vapor in Korea during 2013-2015
<p>The dataset includes spatial/temporal autocorrelation and histogram for composite precipitation and Himawari-8 water vapor bands, and Moran’s I and general G for precipitation, with ASCII format. It is produced for the precipitation cases shown in cases.xlsx. Composite precipitation data covers 1153 x 1441 over the Korean Peninsula (118.826-133.581 °E, 30.125-43.566 °N), with a grid size of 1 km and a time resolution of 1 hr. Himawari-8 satellite data covers the East Asia but we selected the domain (120.132-134.243 °E, 30.436-44.068 °N; 600 X 770) similarly to the precipitation data area. The spatial and temporal resolutions are 2 km and 1 hr, respectively. More information about each data can be found in 0_README.txt.</p>
EML congruence checker reports from the Long Term Ecological Research Network PASTA system, 2013-2015
These data are results of LTER EML Congruence Checker reports from 9,353 data packages from 2013 to 2015, by 27 current and former LTER sites, plus ad hoc packages contributed by the Network. All data were gleaned from publicly available reports that accompany each data package at upload. These data and related checks and checking software are discussed in O'Brien, M. C, D. Costa and M. Servilla. 2016. Ensuring the quality of data packages in the LTER network data management system. Ecological Informatics. DOI: 10.1016/j.ecoinf.2016.08.001. Data are organized into a denormalized flat table, with one row per check run (nultiple rows per dataset and per entity). No data for error-responses are present, since these data are from uploaded datasets, and datasets with errors are not accepted.
Girls First - India (2013-2015)
ClinicalTrials.gov study NCT02429661. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Spectral-temporal features over South Africa (2013-2015) derived from multi-sensor Landsat imagery
<p>The three data sets are spectral-temporal features derived from multi-sensor Landsat imagery over South Africa. They were derived as follows:</p> <p>All Landsat-5, -7 and -8 data from 2013 to 2015 covering South Africa (70 tiles) were acquired and pre-processed following the procedure implemented in Hansen et al. (2013), Potapov et al. (2014), Potapov et al. 2012. Note that four tiles (path/row: 176/77, 175/78, 174/78, 174/79) were discarded because no crop is grown there. Four spectral bands were kept: the red, the near-infrared (NIR), and the two short-wave infrared (SWIR) bands. The blue and green bands were discarded due to their sensitivity to atmospheric effects. We applied a three-step procedure to normalize the radiometry. First, Landsat data were converted to top-of-atmosphere reflectance and then normalized by taking the corresponding MODIS top-of-canopy reflectance data as target. Third, we adjusted cross-track surface anisotropy effects by modeling the Landsat reflectance per spectral band as a function of the viewing angle. The above-mentioned processing steps incrementally improved the appearance of the data, providing more spatial coherence and increasing the generalization and internal consistency of the multi-spectral feature space.</p> <p> </p> <p>Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova S, Tyukavina A, et al. High-resolution global maps of 21st-century forest cover change. science. 2013;342(6160):850{853.</p> <p><br> Potapov P, Dempewolf J, Talero Y, Hansen M, Stehman S, Vargas C, et al. National satellite-based humid tropical forest change assessment in Peru in support of REDD+ implementation. Environmental Research Letters. 2014;9(12):124012.</p> <p><br> Potapov PV, Turubanova S, Tyukavina A, Krylov A, McCarty J, Radeloff V, et al. Eastern Europe's forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive. Remote Sensing of Environment. 2015;159:28 43.</p>
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