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12,237 results for “2019”
McMurdo Dry Valleys LTER: Nutrient tracer injection experiments in supraglacial streams on Canada Glacier, Antarctica, January 2019
This dataset contains a series of grab samples collected from nutrient tracer injection experiments conducted in supraglacial streams on Canada Glacier in Taylor Valley, Antarctica. The purpose of these experiments was to measure potential nutrient uptake in supraglacial stream networks. We chose three reaches and co-injected nutrient tracer(s) and a conservative tracer (NaCl). Tracers were injected at the top of each reach, allowed to mix with the stream water, and move downstream. Grab samples in this dataset were collected at the base of the reach over the course of these tracer experiments, which ran from 14-19 January 2019.
McMurdo Dry Valleys LTER: Dissolved oxygen measurements in supraglacial streams on Canada Glacier, Antarctica, January 2019
We installed dissolved oxygen sensors in three locations on a supraglacial stream network on Canada Glacier in Taylor Valley, Antarctica in conjunction with a series of nutrient tracer injection experiments. This data collection was intended to provide context for respiration and primary productivity via dissolved oxygen dynamics during our nutrient tracer injections. Sensors were deployed a day before the start of the tracer series and collected on the last day of experiments. Over the course of their deployment, two of the three locations had issues with freezing around the sensor and produced large artifacts (swings) in the data.Â
Chemical and sediment characteristics of ice cores collected from the ablation zones of Canada, Commonwealth, Howard, Hughes, and Seuss Glaciers in the McMurdo Dry Valleys, Antarctica from 2015 to 2019
This data package contains chemical and sediment characteristics of ice cores collected from the ablation zones of five glaciers in Taylor Valley, located in the McMurdo Dry Valleys region of Antarctica, during the 2015-16, 2016-17, 2017-18, and 2018-19 austral summers. Specifically, shallow ice cores were collected from the ablation zones of Hughes, Howard, Seuss, Commonwealth, and Canada Glaciers in order to characterize the spatial and temporal evolution of ice chemistry and sediment concentration across Taylor Valley. Cores were collected in triplicate from each sampling location and measured 79 mm in diameter and up to 1 m in depth. Cores were sectioned in 5 cm (0-25 cm depth) and 25 cm increments (25 cm to the maximum depth of the core) prior to analyzing chemical and sediment characteristics.
Chemical characteristics of terminal waterfalls along the Canada and Suess Glaciers in the McMurdo Dry Valleys, Antarctica in January of 2018 and 2019
This data package contains chemical and other relevant characteristics for several waterfalls situated along the terminus of two glaciers in Taylor Valley, located in the McMurdo Dry Valleys region of Antarctica, during the 2017-18 and 2018-19 austral summers. Specifically, water samples were collected from terminal waterfalls along Canada and Seuss Glaciers as part of a larger study characterizing the geochemical evolution of glacier ice to meltwater. Samples were collected from just above the base of each waterfall and processed using similar protocols developed and used by the McMurdo Dry Valleys Long Term Ecological Research program.
Ammonium desorption of hyporheic sediments from Von Guerard Stream, McMurdo Dry Valleys, Antarctica (January 2019)
This data package provides analytic results for a laboratory assay on sediment samples collected in January 2019 from a transect (“P2”) across Von Guerard Stream (as described by Heindel et al. 2021), located in Taylor Valley, McMurdo Dry Valleys, Antarctica. We used excess sample from that study in a laboratory desorption assay to assess conductivity dependent desorption of ammonium. The assay was performed by mixing samples with potassium chloride treatment solutions that replicate the range of specific conductivities observed in Von Guerard Stream, shaking and centrifuging slurries, and analyzing filtered supernatant.
MCR LTER: Coral Reef: Data for figures in Doo, et al., Ocean acidification effects on in situ coral reef metabolism, Scientific Reports, 2019
These data result from a Free Ocean CO2 Enrichment (FOCE). Data include net community calcification (NCC), net community production (NCP), and net ecosystem calcification (NEC) for the figures in Doo, Edmunds and Cparpenter, Ocean acidification effects on in situ coral reef metabolism, Scientific Reports, 2019, https://doi.org/10.1038/s41598-019-48407-7. Data for Figure 2A describe the 24-h NCC collected in the in situ SCoRe-FOCE. Data for Figures 2B and 2C describe the offset of NCC of the high CO2 treatment from ambient collected in the in situ SCoRe-FOCE. Data for Figure 3 describe the correlation of NCP to NCC collected in the in situ SCoRe-FOCE. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
N and P addition experiment colonization data for Niwot Ridge from 2015 to 2019, yearly
In 2014 we established 20 experimental plots (25 x 25 cm) at four Snowbed Experiment sites (Arikaree, D1, Martinelli, and Soddie) in order to investigate the effect of nitrogen (N) and phosphorous (P) nutrient additions on plant colonization in snowbed areas with a recently diminishing persistence of summer snow cover. Plots were established in areas of persistent snow cover where there was only bare soil and no plants growing. Treatments included (1) control (no nutrient additions), (2) N addition, (3) P addition, and (4) N + P addition. At each site, plots were grouped into five blocks, with one of each of the four treatment plots present in each block (4 sites x 5 blocks x 4 treatments = 80 plots). Treatments were assigned randomly (without replacement) within blocks.
Con-mod soil moisture data in the Black Sand experiment plots for East Knoll, Audubon, Lefty, Soddie and Trough, 2019 - ongoing.
In the alpine tundra, shrubs modify wind distribution of snow, increasing snowpack on the leeward side of shrubs, and they provide shading, which modifies temperatures. In order to mimic these abiotic effect of shrubs, structures called connectivity modifiers, hereafter referred to as con-mods, were deployed in Black Band experiment plots in September 2018. Briefly, the Black Sand experiment was initiated in May 2018 to measure the effects of an extended growing season, by initiating earlier snow melt through the application of black sand, on plants and biogeochemistry. Together, this experimental framework allows us to ask how biotic effects influence climate exposure and ecological responsiveness.
Con-mod species composition in the Black Sand experiment for East Knoll, Audubon, Lefty, Soddie and Trough, 2019 - ongoing.
In the alpine tundra, shrubs modify wind distribution of snow, increasing snowpack on the leeward side of shrubs, and they provide shading, which modifies temperatures. In order to mimic these abiotic effect of shrubs, structures called connectivity modifiers, hereafter referred to as con-mods, were deployed in Black Band experiment plots in September 2018. Briefly, the Black Sand experiment was initiated in May 2018 to measure the effects of an extended growing season, by initiating earlier snow melt through the application of black sand, on plants and biogeochemistry. Together, this experimental framework allows us to ask how biotic effects influence climate exposure and ecological responsiveness.
Con-mod soil temperature data in the Black Sand experiment control plots for East Knoll, Audubon, Lefty, Soddie and Trough, 2019 - ongoing.
In the alpine tundra, shrubs modify wind distribution of snow, increasing snowpack on the leeward side of shrubs, and they provide shading, which modifies temperatures. In order to mimic these abiotic effect of shrubs, structures called connectivity modifiers, hereafter referred to as con-mods, were deployed in Black Band experiment plots in September 2018. Briefly, the Black Sand experiment was initiated in May 2018 to measure the effects of an extended growing season, by initiating earlier snow melt through the application of black sand, on plants and biogeochemistry. Together, this experimental framework allows us to ask how biotic effects influence climate exposure and ecological responsiveness.
Physiological stress of American pika (Ochotona princeps) and associated habitat characteristics for Niwot Ridge, 2018 - 2019
Temporal variation in a metric of stress might signify changes in an organism’s internal or external environment, but spatial variation in stress response could also signify spatial variation in habitat quality. Any stress response to habitat quality can be complicated or modulated, however, by strategies like escape in space (e.g., animal movements) or time (e.g., seed banks) that allow access to different conditions. Spatial and temporal variation in response to potential stressors has received little study in wild animals, especially at scales appropriate for relating stress to specific habitat characteristics. Here, we use the American pika (Ochotona princeps), a highly territorial small mammal, to investigate stress response within and among territories. For individually territorial animals such as pika, differences in habitat quality should lead to differences in the levels of stress exhibited by territory owners. In this study, we indexed stress by measuring stress hormone metabolites in feces collected non-invasively from pika territories. Feces were collected from 20 territories every two weeks from June to September of 2018 (pika_fecal_glut.aw.data.csv). In 2019, habitat metrics were recorded at each territory (pika_fecal_glut_habitat.aw.data.csv).
Saddle catchment vegetation cover for Distributed Hydrology Soil Vegetation Model (DHSVM), 2 meter, 2019
The Saddle Catchment of the Niwot Ridge LTER is subject to observed and modeled hydrologic connectivity and nuances that is influenced by the variable vegetation across the area. This file was specifically intended to update the Distributed Hydrology Soil Vegetation Model (DHSVM) input file used to simulate vegetation within the Saddle Catchment, as an ongoing method for evaluating modeled hydrologic connectivity. Thus, high resolution vegetation information was used from existing National Ecological Observatory Network (NEON) datasets. NEON has developed a suite of vegetation datasets including a 1m spatial resolution Airborne Observation Platform (AOP) Total Biomass data product. This product is an orthorectified (UTM projection) raster product derived from NEON AOP Imaging Spectrometer (NIS) reflectance data (DP3.30016.001). This vegetation layer was chosen because it visually reflected the differences in vegetation across the Saddle Catchment at a much higher resolution than previous DHSVM vegetation files. Using this gridded biomass product, different vegetation types were manually assigned and translated into to DHSVM vegetation types/codes. The assigning and translating of vegetation types was done by consulting NWT LTER individuals who specialize in the vegetative and soil properties within the Saddle Catchment and using available point-vegetation data from the Saddle Catchment sensor node network. The final product was upscaled to a 2m resolution using R (to match all other DHSVM input files).
Carbon stocks in forests transitioning to salt marsh at four sites in the Chesapeake Bay region, 2019
This data set contains measurements of carbon stocks across five vegetation zones that comprise the marsh-forest boundary at sites within Virginia (Goodwin Island and Phillips Creek) and Maryland (Monie Bay and Moneystump/Blackwater). Carbon stocks were measured from soil samples and allometric measurements collected in June-July of 2019. Soil salinity, elevation, and GPS location data are similarly included in this data set.
TESS-NOVEMBER-2019
<p>Measurements taken by the European Photometer Network (Project STARS4ALL). November 2019</p>
Combined three-dimensional Milky Way extinction map (2019)
<p>This file contains an updated version of the combined Milky-Way extinction map from Bovy, Rix, Green et al. (2015) (see the Appendix) in HDF5 format. The component of the original dust map coming from Pan-STARRS data was updated to the Pan-STARRS dust map from Green et al. (2019). The format is similar to that described here: http://argonaut.skymaps.info/usage, except that no samples are included (so only the /best_fit attribute and other supporting ones are included). This file is downloaded and read by the https://github.com/jobovy/mwdust code.</p>
Code and data for "A 4,500-year record of palaeomagnetic secular variation and relative palaeointensity from the Tyrrhenian Sea", version 2019-12-29
<p>Code and data for "A 4,500-year record of palaeomagnetic secular variation and relative palaeointensity from the Tyrrhenian Sea", version 2019-12-29.</p>
#cdnpoli and the Twittersphere: User mentions during the 2019 Federal Election
<p>This is a raw dataset containing the @mention (username) frequencies within tweets that contained one of 150 various keywords and hashtags related to Canadian politics. The dataset begins on October 1 2019 and ends on November 15 2019, providing a roughly 6-week window around the October 21 election. Data was captured using the Digital Methods Initiative's DMI-TCAT toolkit (github.com/dmi-tcat). Part of a larger project supported by a grant from the Canadian Heritage Fund.</p>
S46 | PFASNTREV19 | List of PFAS reported in Non-Target HRMS Studies (Liu et al 2019)
<p>This is the collection associated with list S46 PFASNTREV2019 on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S46 | PFASNTREV19 | <strong>List of PFAS reported in Non-Target HRMS Studies (Liu <em>et al</em> 2019)</strong></p> <p>Table 1 from Liu et al as <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/220319Update/Liu_etal_2019_HRMS_PFAS_1-s2.0-S0165993618306253-Table1.pdf">PDF</a><br> MS-ready form in <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/080419Update/PFASNTREV19_Liu_etal_17042019.xlsx">XLSX</a> (formatted) and <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/080419Update/PFASNTREV19_Liu_etal_17042019.csv">CSV</a> (17/04/2019)<br> CompTox <a href="https://comptox.epa.gov/dashboard/chemical_lists/PFASNTREV19">PFASNTREV19 List</a></p> <p>PFASNTREV19 <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/080419Update/PFASNTREV19_InChIKeys_17042019.txt">InChIKeys</a> (17/04/2019)</p> <p>List compiled in the non-target HRMS PFAS review by Liu et al 2019, DOI: <a href="https://doi.org/10.1016/j.trac.2019.02.021">10.1016/j.trac.2019.02.021</a>. MS-ready list prepared by Yanna Liu, Lisa D’Agostino, Emma Schymanski and Jon Martin. Note not all entries have structures.</p> <p>Update Feb 6, 2020: minor SMILES corrections to CSV for PubChem upload.</p>
Collected data from the ATLASM5 Atmospheric Research Station from 01 January 2019 to 31 December 2019
<p>PI_NAME = Abdelwahid MELLOUKI<br> INSTITUTE = CNRS-ICARE<br> EMAIL=mellouki@cnrs-orleans.fr<br> ADDRESS=1C Av. de la Recherche Scientifique, CS 50060, 45071 Orleans cedex 2</p> <p>TITLE = Data from the ATLASM5 Research Station Year = 2019<br> DATA_CATEGORY=Field_ATLASM5 Station<br> Project=MARSU<br> TYPE_OF_DATA= FIELD MEASUREMENT<br> STATUS_OF_FILE=FINAL<br> VERSION=1.0<br> PLATFORM = ATLASM5<br> NAME_OF_PLATFORM=MARSU<br> DESCRIPTION=https://marsu-h2020.org/</p> <p> </p>
2019 Eurobarometer on Food Safety in the EU_Datasets
<p>This Special Eurobarometer, commissioned by EFSA, provides insights in terms of:</p> <ul> <li>Europeans’ overall interest in food safety, including factors affecting food-related decisions, main information channels on food-related risks, changes in behaviour and views on complexity of communication about food-related risks.</li> <li>Awareness and risk perceptions when it comes to food safety topics, trust in different sources of information and understanding of the EU food safety system</li> </ul> <p>The survey was carried out by the Kantar network in the 28 EU Member States between the 9<sup>th</sup> and 26<sup>th</sup> of April 2019. Some 27,655 respondents from different social and demographic groups were interviewed face-to-face at home in their mother tongue. </p> <p>Additional data was collected during November 2019 in the following pre-accession countries: Albania, Montenegro, Serbia, North Macedonia and Turkey.</p> <p>The methodology used is that of the <a href="http://ec.europa.eu/commfrontoffice/publicopinion/index.cfm">Standard Eurobarometer surveys</a> carried out by the Directorate-General for Communication. It is the same for all countries and territories covered in the survey.</p> <p>The datasets published are distributed as follows:</p> <ul> <li>Volume A: Countries</li> <li>Volume AA: Groups of countries</li> <li>Volume B: EU/socio-demographics</li> <li>Volume C: Country/socio-demographics</li> <li>Microdata</li> </ul> <p><em>Disclaimer > In accordance with Regulation (EU) 2018/1725 on the protection of natural persons with regard to the processing of personal data applicable to EFSA, some data elements were excluded from the eb_91.3_EFSA_Microdata file published hereby, in order to prevent that individual respondents may be identifiable. The excluded data elements include occupation and the region of respondent’s residence within the country. </em></p>
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