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574 results for “NY”

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edi48/100

The Jefferson Project 2022 water quality data from two vertical profiler stations in Lake George, NY, USA.

The Jefferson Project at Lake George -- a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association -- combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake's food web, hydrology, and water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2022, The Jefferson Project deployed two vertical profiler stations on the lake, collecting data on water quality and weather. Meteorological data have been included with the Jefferson Project Weather Station dataset for 2022. These vertical profiler stations are named VP_HarrisBay and VP_TeaIsland. The water quality data are collected by a YSI EXO2 Multi-parameter sonde sensors. The sensors collect data at 1 meter or less depth increments, starting at 1 meter and proceeding to 2 meters off bottom. The data are transferred in near real-time to an off-site database for monitoring and review. The data provided here have undergone data correction by Jefferson Project researchers.

openCC (other)Jul 2025View details →
zenodo44/100

Meteograms of Ny-Ålesund for ICON-LEM default aerosols simulations

<p>This data contains the simulation data as meteogram from ICON-LEM simulations with ca. 600 m resolution. The output location is Ny-&Aring;lesund. The data is for the months Aug and Oct 2021. This data was used in the PhD thesis of Theresa Kiszler. Thesis title: "Improving our understanding of cloud phase-partitioning using long-term cloud-resolving simulations of Svalbard".</p> <p>The simulation setup is is described in the method section of the paper "A Performance Baseline for the Representation of Clouds and Humidity in Cloud-Resolving ICON-LEM Simulations in the Arctic" by Kiszler et al. (2023).&nbsp; <a href="https://doi.org/10.1029/2022MS003299">https://doi.org/10.1029/2022MS003299</a></p>

opencc-by-4.0Dec 2023View details →
zenodo44/100

A new repository of electrical resistivity tomography and ground penetrating radar data from summer 2022 near Ny-Ålesund, Svalbard.

<p>We present the geophysical data set acquired in summer 2022 close to Ny-&Aring;lesund (Western Svalbard, Br&oslash;ggerhalv&oslash;ya peninsula, Norway) as part of the project ICEtoFLUX (MUR/PRA2021 project-0027). The data set is composed of Electrical Resistivity Tomography (ERT) and GroundPenetrating Radar (GPR) surveys, which are well-known geophysical techniques for the characterization of glacial and hydrological processes and features. 18 ERT profiles and 10 GPR lines were acquired, for a total surveyed length of 9.3 km. The data have been organized in a consistent repository that includes both raw and processed (filtered) data. Some representative examples of 2D models of the subsurface are provided, that is, 2D sections of electrical resistivity (from ERT) and 2D radargrams (from GPR). These examples can support the identification of the active layer and the occurrence of spatial variation of soil conditions at depth. The aim of the investigation is to characterize the role of groundwater flow in correspondence of the active layer as well as through and/or below the permafrost. The data set is of major relevance because scant attention has been paid to the publication of geophysical data from the Ny-&Aring;lesund area so far. Moreover, these geophysical data can foster multidisciplinary scientific collaborations in the fields of hydrology, glaciology, climate, geology, geomorphology, etc. To a large extent, the data set can provide new insight into the hydrological dynamics and polar and climate changes studies on the Ny-&Aring;lesund area.&nbsp;</p>

opencc-by-4.0Jan 2024View details →
zenodo44/100

Data set of detected atmospheric rivers, cyclones, and fronts within the region of 75°N – 82.5°N, 0°E – 30°E and at Ny-Ålesund (Svalbard) for 2017 – 2021

<p>This data set contains times when atmospheric rivers, cyclones, or fronts have been detected within the broader region of 75&deg;N &ndash; 82.5&deg;N, 0&deg;E &ndash; 30&deg;E and specifically at Ny-&Aring;lesund, Svalbard (78.92308 &deg;N, 11.92108 &deg;E) for the years 2017 to 2021. To this end, the detection methods, as described in Lauer et al. (2023), have been applied to the hourly-resolved ERA5 reanalysis (Hersbach et al., 2020) data.&nbsp;</p> <p>Data set overview</p> <p>Each file contains the times (year, month, day, hour in UTC) when the corresponding weather system, i.e. atmospheric river, cyclone and front, has been detected within the region of 75&deg;N &ndash; 82.5&deg;N, 0&deg;E &ndash; 30&deg;E. The last column indicates if the weather system was located also over Ny-&Aring;lesund Svalbard (78.92308 &deg;N, 11.92108 &deg;E).&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo44/100

Data set of anthropogenic contaminants in snow from polar regions (Ny-Alesund and Dome C)

<p>The produced dataset (in MS Excel format) contains concentrations of mercury, trace elements and organic contaminants in snow samples collected in the Ny-Alesund area (Svalbard - Norway) (78.917&deg; N 11.933&deg; E) and from the Antarctic Plateau, Dome C (75.103&deg;S, 123.35&deg;E). The Arctic sampling sites are reported in figure 1. The concentrations for trace elements and mercury are in ngg<sup>-1</sup> while for the organic contaminants they are reported in ngL<sup>-1</sup>.</p> <p>The inorganic contaminants dataset reports concentration of Hg, Trace elements and Black Carbon in Arctic and Antarctic site. The Arctic sites are subdivided in annual snow pack on the glacier and surface snow sampling close to the Gruvebadet Aerosol Laboratory. In Antarctica mercury concentrations in surface snow are also reported.</p> <p>The organic contaminants dataset reports the concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) in surface snow samples collected close to the Gruvebadet Aerosol Laboratory (78.91622&deg;N 11.89536&deg;E, Ny Alesund, Norway). Samplings were performed from 04/10/2018 to 13/05/2019, obtaining a total of 35 samples, encompassing the entire winter season with an approximatively weekly resolution. Total PAH (sum of naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, benzo(<em>a</em>)anthracene, chrysene, benzo(<em>b</em>)fluoranthene, benzo(<em>k</em>) fluoranthene, benzo(<em>a</em>)pyrene, benzo(<em>ghi</em>)perylene, indeno(<em>1,2,3-c,d</em>)pyrene and dibenzo(<em>a,h</em>)anthracene) concentrations range from 0.8 to 37 ng L<sup>-1</sup>. Individual PAHs were mean blank corrected and average percentage abundances in the samples are reported in the dataset.</p>

opencc-by-4.0Aug 2021View details →
zenodo44/100

Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: A comprehensive long-term dataset of remote sensing observations

<p>This dataset contains a comprehensive set of quality-controlled remote sensing observations of low-level mixed-phase clouds collected at the high Arctic site of Ny-&Aring;lesund, between 10 October 2021 and 31 December 2022. Cornerstones of the dataset are observations from a 35-GHz polarimetric scanning Doppler cloud radar and a 94-GHz zenith-pointing Doppler cloud radar. Radar data are complemented with thermodynamic retrievals from a microwave radiometer, liquid base height from a ceilometer and wind fields from large-eddy simulations. All data have undergone extensive quality control, especially the cloud radar data, which are accurately calibrated, matched, and corrected for gas and liquid-hydrometeor attenuation, ground clutter and range folding. This dataset is especially suited for cloud microphysical studies, and the high number of events included allows for the compiling of robust statistics. The dataset is accompanied by a data descriptor article, which is available at <a href="https://doi.org/10.5194/essd-15-5427-2023" target="_blank" rel="noopener">doi.org/10.5194/essd-15-5427-2023</a>.</p> <p>&nbsp;</p> <p><strong>Dataset overview</strong><br>The files include only low-level mixed-phase cloud (LLMPC) events, as well as the 2 hours preceding and following events. Each file contains an individual event, unless multiple events are less than 4 hours apart, in which case they are combined into the same file. LLMPC events are detected by requiring that ice and liquid phase coexist in a cloud layer with top below 2500 m for at least one hour. All radar variables observed in zenith (Doppler moments at 35 and 94 GHz, linear depolarization ratio (LDR) at 35 GHz), as well as microwave radiometer retrievals (temperature (T), liquid water path (LWP), integrated water vapor (IWV)), liquid base height from the ceilometer, and model data (horizontal wind speed and direction) are brought to the same time and range grids (respectively named &lsquo;time_zen&rsquo; and &lsquo;range_zen&rsquo; in the files). Off-zenith radar variables (reflectivity, differential reflectivity (ZDR), maximum spectral ZDR (sZDRmax), correlation coefficient (RhoHV), differential phase shift (PhiDP), and specific differential phase (KDP)) are stored on separate coordinates (named &lsquo;time_slant&rsquo; and &lsquo;range_slant&rsquo;). All derived corrections are already applied to the data, and stored in the files, in case the user is interested in reconstructing the original data. A number of flags have been included in the files: in particular &lsquo;MPC_detected&rsquo; indicates whether a LLMPC event was detected, and &lsquo;liquid_attenuation_correction_flag_zen&rsquo; and &lsquo;liquid_attenuation_correction_flag_slant&rsquo; indicate whether radar reflectivities were corrected for attenuation due to liquid hydrometeors. Liquid attenuation corrections should be especially taken into account when computing the dual-wavelength ratio (i.e., the difference between reflectivity at 35 GHz and at 94 GHz, both expressed in dBZ), and performing quantitative analyses of reflectivity fields.</p>

opencc-by-4.0Apr 2023View details →
zenodo44/100

Supplement to "Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: A comprehensive long-term dataset of remote sensing observations"

<p>This dataset is a supplement to "Low-level mixed-phase clouds at the high Arctic site of Ny-&Aring;lesund: A comprehensive long-term dataset of remote sensing observations", available at <a href="http://doi.org/10.5281/zenodo.7803064">doi.org/10.5281/zenodo.7803064</a>. The additional variables here included are: slow edge velocity, fast edge velocity, and eddy dissipation rate (EDR). All variables are stored on the same time and range grids adopted for the main dataset. Similarly, the event selection and file structure are identical to those of the main dataset.<br><br>Slow and fast edge velocities are derived from Doppler spectra recorded by the zenith-pointing 94-GHz cloud radar. The slow (fast) edge velocity is calculated as the velocity associated with the slowest (fastest) Doppler bin above the peak noise level, belonging to a spectral cluster whose width is at least 5 Doppler bins.<br><br>The EDR is retrieved following the approach by Borque et al. (2016; <a href="http://doi.org/10.1002/2015JD024543">doi.org/10.1002/2015JD024543</a>), using as input the slow edge velocity, and model horizontal wind speed from the main dataset. EDR is retrieved in 5 minute intervals, up to a maximum range of 3 km.<br><br>The detailed documentation of the variables here included can be found in the Supporting Information to the following publication: <a href="https://doi.org/10.1029/2023GL106599" target="_blank" rel="noopener">doi.org/10.1029/2023GL106599</a>.</p>

opencc-by-4.0Sep 2023View details →
edi44/100

Precipitation record from Old Headquarters, Black Rock Forest, Cornwall, NY 1960 - 2025

Black Rock Forest has been measuring precipitation using an aluminum bucket gauge since 1960. Total rainfall is measured after each event to the nearest hundredth of an inch. Snow depth is measured adjacent to the bucket and snow in the collection bucket is melted to determine the snow water equivalent. The gauge is located in a meadow at 129 Continental Road, Cornwall, New York.

openCC (other)Jan 2026View details →
edi44/100

Growth, development, activity, and survival of wood frog tadpoles from different populations in eastern NY in 2022.

These data were collected as two lab experiments that examined larval (i.e., tadpole) wood frog populations. The first was a time-to-death experiment in which we exposed individuals tadpoles to either a control or lethal concentrations of NaCl. The second was a growth and development experiment in which we raised tadpoles from the same populations in a sublethal concentration of NaCl for several weeks to examine their growth and development (i.e. Gosner developmental stage).

openCC (other)Mar 2024View details →
edi44/100

Tree species identity, diameter and qualitative canopy health measurements (full, partial or dead) from 2005 to 2023 on 12 experimental oak loss plots in Black Rock Forest, NY.

Black Rock Forest established a series of 12, 0.56 ha plots in 2005 to assess impacts of the loss of tree in the genus Quercus on the forest ecosystem (entitled the Future of Oak Forests experiment). Three trunk girdling treatments, with control plots were instituted in 2008. Each plot also contained an ~10m by ~15m deer exclosure to assess the impact of herbivory post-disturbance. Trees were measured twice per year from 2008 to 2013 (except 2009 when trees were measured once) and once per year from 2014 to 2023. Data include tree species identity, diameter at breast height (DBH), canopy health (a qualitative assessment of approximate cover as full, partial or dead), presence/absence of sprouts, and location within the plot. All live trees equal to or larger than 2.5 cm DBH are included in the dataset.

openCC (other)Jul 2024View details →
edi44/100

Acorn mast data (1995-2025), Black Rock Forest, Cornwall, NY

Acorn abundance has been tracked annually since 1995 at Black Rock Forest (BRF), Cornwall, NY between September and October to coincide with peak acorn drop. From 1995 to 2010 all acorns were counted within a circular plot thrown 10 times at 15 to 20 locations throughout BRF. Beginning in 2004 individual oak trees were visited and DBH and number of acorns under the drip line of the tree were counted at the same 15 to 20 locations within BRF. Beginning in 2024 four 1-meter square quadrats were used to count acorns under 10 trees at each location.

openCC (other)Feb 2026View details →
edi44/100

Effects of experimental manipulation of light and nutrients on establishment of seedlings of native and invasive woody species in Long Island, NY, USA forests 2000 - 2003

While several studies on the process of invasion often focused on single factors or on the general explanation of ‘disturbance,' recent work has attempted to move towards a more mechanistic understanding of the factors that promote plant community invasion. Manipulative experiments provide a means for discerning causal relationships and interactive effects of environmental factors in promoting invasion. This dataset contains the results of multifactor manipulative experiments in forest communities, which compared factors influencing early seedling establishment for native and invasive woody plants. In an earlier study, we found that in Long Island, NY, invasion patterns are correlated with forest community type (pine barrens or hardwood), light availability, and soil N and Ca. Therefore, we conducted manipulative field experiments in two different years to determine the relative importance and interaction of experimental gaps and N and Ca addition in pine barrens and hardwood forests in promoting invasion. We used seedlings of seven common native and invasive species in the first experiment, and 16 native and invasive species paired phylogenetically in the second experiment. This was done in the years 2000 and 2003 respectively.

openCC (other)Jun 2020View details →
zenodo40/100

Data from Potential source areas for atmospheric lead reaching Ny-Ålesund from 2010 to 2018

<p>date reports the sampling data in YYYY-MM-DD format and volume the sampling volume in m3.<br> pb_sign is = for Pb concentrarion data above limit of quantification (LoQ) and &lt; for data below LoQ.<br> pb_val is numeric and it is the measured Pb concentration or LoQ in pg/m3.<br> pb is text and it is the measured Pb concentration or &lt;LoQ in pg/m3.<br> al_ef is the enrichment factor (EF) EF(Pb/Al)c in comparison to the upper continental crust (UCC, Wedepohl 1995).<br> pb20x20y is the value measured for 20xPb / 20yPb isotope ratio.<br> u20x20y is the 95-confidence level uncertainty for the measured 20xPb / 20yPb isotope ratio value.<br> Missing values are reported as NA.<br> Wedepohl 1995: Wedepohl, K.H., 1995. The composition of the continental crust. Geochim. Cosmochim. Acta 58A, 959&ndash;960. https://doi.org/10.1180/minmag.1994.58A.2.234</p>

opencc-by-4.0Jan 2021View details →
dryad40/100

Climate and vegetation change in a coastal marsh: two snapshots of groundwater dynamics and tidal flooding at Piermont Marsh, NY spanning 20 years

<p>Groundwater hydrology plays an important role in coastal marsh biogeochemical function, in part because groundwater dynamics drive the zonation of macrophyte community distribution. Changes that occur over time, such as sea level rise and shifts in habitat structure are likely altering groundwater dynamics and eco-hydrological zonation. We examined tidal flooding and marsh water table dynamics in 1999 and 2019 and mapped shifts in plant distributions over time, at Piermont Marsh, a brackish tidal marsh located along the Hudson River Estuary near New York City. We found evidence that the marsh surface was flooded more frequently in 2019 than in 1999, and that tides were propagating further into the marsh in 2019, although marsh surface elevation gains were largely matching that of sea level rise. The changes in groundwater hydrology that we observed are likely due to the high tide rising at a rate that is greater than that of mean sea level. In addition, we reported on changes in plant cover by <em>P. australis</em>, which has displaced native marsh vegetation at Piermont Marsh. Although <em>P. australis</em> has increased in cover, wrack deposition and plant die off associated Superstorm Sandy allowed for native vegetation to rebound in part of our focus area. These results suggest that climate change and plant community composition may interact to shape ecohydrologic zonation. Considering these results, we recommend that habitat models consider tidal range expansion and groundwater hydrology as metrics when predicting the impact of sea level rise on marsh resilience.</p>

opencc-zeroDec 2023View details →
zenodo40/100

Fig. 17 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities

Fig. 17 (previous page). Rioceratid and orthocerid cephalopods from the Olenidsletta Member, Floian, Ordovician, Profilstranda section, Ny Friesland, Spitsbergen. A-C. Eosomichelinoceras borealis sp. nov., from bed PO 123.3. A. Specimen FMNH-P30278, lateral view with ventral, prosiphuncular side toward left. B. Specimen FMNH-P30279, lateral view with ventral, prosiphuncular side toward left. C. Specimen FMNH-20288, holotype, ventral view. D–F, I. Hinlopoceras tempestatis gen. et sp. nov., from bed PO 07. D. Specimen FMNH-P30359, lateral view with ventral, prosiphuncular side toward right. E. Specimen FMNH-30479, adult(?) body chamber, ventral view, prosiphuncular side. F. Specimen FMNH-P30362, strongly annulated fragment of body chamber. G–H, J. Hinlopoceras venti gen. et sp. nov. G. Specimen FMNH-P30262, from bed PO 07, lateral view with ventral, prosiphuncular side toward left. H. Specimen FMNH-P30266, from bed PO 7.5, lateral view with ventral, prosiphuncular side toward right. I. Specimen FMNH-P30360; note the nearly smooth adapical part of the fragment. J. Specimen FMNH-P30267, from bed PO 7.5, lateral view with ventral, prosiphuncular side toward left. Scale bar = 10 mm for all figures.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 55 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities

Fig. 55. Model of cephalopod habitat and faunal composition for three intervals (trilobite biozones V1a, V1b-c, V2b) of the depositional time of the Olenidsletta Member, Floian, Ordovician at Profilstranda (PO) section, Ny Friesland, Spitsbergen. Absolute water depth is estimated from septal implosion depths of cephalopods during V2b, from presence of photic zone biomarker signatures in all Olenidsletta Member samples (Lee et al. 2019), and from a global amplitude of eustatic sea level change of ca 80 m during the Floian (Haq &amp; Schutter 2008).

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 53 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities

Fig. 53. Cephalopod occurrences in sampled intervals of the Olenidsletta Member, Floian, Ordovician, Profilstranda (PO) section, Ny Friesland, Spitsbergen. 0 from Fortey (1980), 1 from Lehnert et al. (2013), 2 from Cooper &amp; Fortey (1982). Grey shaded time interval marks nileid trilobite assemblage after Fortey &amp; Barnes 1977. Section from Kröger et al. (2017). Symbols for organism groups as in Fig. 3.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 52 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities

Fig. 52. Single most parsimonious tree resulting from constrained analysis with the "concave" interpretation plotted against stratigraphy. Stratigraphic units (in grey boxes) are Ordovician stage slices after Bergström et al. (2009), modified by Rasmussen et al. (2019). Vertical range of stage slices represents absolute age (after Rasmussen et al. 2019). Abbrevations: Tr = Tremadocian; Fl = Floian; Dp = Dapingian; Dw = Darriwilian.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 51 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities

Fig. 51. Single most parsimonious trees of four separate cladistic analyses to test different a priori interpretations and hypotheses. A–B. Shape of siphuncular segments of critical species interpreted as "tubular". C–D. Shape of siphuncular segments of critical species interpreted as "concave". B–D. Analyses with several topological constraints enforced under an assumption of the monophyly of the Endocerida, Oncocerida, and Orthocerida (see methods for details). Critical species are: Ethanoceras solitudines sp. nov., Olenidslettoceras farmi gen. et sp. nov., Svalbardoceras sterna gen. et sp. nov., and Valhalloceras floweri Evans &amp; King, 1990. Grey boxes indicate established order level classification of species in the analysis. Values above branches are Bremer supports (if&gt; 1), values below branches are bootstrap supports (absolute and GC frequencies).

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 54 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities

Fig. 54. Rank abundance diagram of cephalopod rich horizons of the V1 (black circles) and V2 (white circles) trilobite biozone with ranks of the six most important species listed.

opencc-by-4.0Dec 2021View details →

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