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574 results for “NY”
Fig. 22 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities
Fig. 22. Svalbardoceras gen. nov. from the Olenidsletta Member, Floian, Ordovician, Profilstranda section, Ny Friesland, Spitsbergen. A–D. Svalbardoceras skua gen. et sp. nov. from bed PO 123.3. A. Specimen FMNH-P30277, lateral view, venter, prosiphuncular side toward the right. B. Specimen FMNH-P30272, holotype, lateral view, venter, prosiphuncular side toward the left. C. Specimen FMNH-P30276, lateral view of adult (?), body chamber, with venter, prosiphuncular side toward the left. D. Specimen FMNH-P30263, lateral view of a fragmentary body chamber, with venter, prosiphuncular side toward the left. E–G. Svalbardoceras sterna gen. et sp. nov., from bed PO 7.5. E. Specimen FMNH-P30379. F. Specimen FMNH-P30373, lateral view with venter, prosiphuncular side toward the right. G. Specimen FMNH-P30368, holotype, lateral view with venter, prosiphuncular side toward the right. Scale bar = 10 mm for all figures.
Fig. 5 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities
Fig. 5. Cyrtoconic cephalopods from the Olenidsletta Member, Floian, Ordovician, Profilstranda section, Ny Friesland, Spitsbergen. A–C. Lawrenceoceras larus sp. nov., FMNH-P30351, holotype, from bed PO 131. A. Lateral view with siphuncle on left side. B. Ventral view, prosiphuncular side. C. Adoral view of septum and septal perforation. D–E. Lawrenceoceras ebenus sp. nov., FMNH-P30335, holotype, from bed PO 123.3. D. Lateral view with siphuncle on left side. E. Ventral view, prosiphuncular side. F–G. Olenidslettoceras farmi gen. et sp. nov., FMNH-P30334, holotype, from bed PO 123.3. F. Lateral view with siphuncle on left side. G. Ventral view, prosiphuncular side. H–N. Vallhalloceras floweri King & Evans, 1990. H–I. Specimen FMNH-P30337, from bed PO 131. H. Lateral view, siphuncle on right side I. Ventral view, prosiphuncular side. J–L. Specimen FMNH-P30343 from bed PO 123.3, J. Lateral view with siphuncle on left side. K. Ventral view, prosiphuncular side. L. Dorsal view, antisiphuncular side. M–N. Specimen FMNH-P30338 from bed PO 131. M. Lateral view with siphuncle on left side. N. Ventral view, prosiphuncular side. O–Q. Cyclostomiceras profilstrandense sp. nov., specimen FMNH-P30336, from bed PO 123.3. O. Lateral view with siphuncle on left side. P. Ventral view, prosiphuncular side. Q. Dorsal view, antisiphuncular side. Scale bar = 10 mm for all figures.
Fig. 27 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities
Fig. 27. Median sections of phragmocones of Bactroceras boliviensis Aubrechtová, 2015, from the Olenidsletta Member, Floian, Ordovician, Profilstranda section, Ny Friesland, Spitsbergen. Note conical endisiphuncular lining in A–D. A. Specimen FMNH-P30215, from bed PO 131. B. Specimen FMNH-P30259, from bed PO 7.5. C–D. Specimen FMNH-P30243, from bed PO 7.5. E. Specimen FMNH-P30383, from bed PO 131. Scale bars: A–C, E = 5 mm; D = 1 mm.
Fig. 15 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities
Fig. 15. Median sections of phragmocones of Ethanoceras solitudines gen. et sp. nov. from from bed PO 123.3, Olenidsletta Member, Floian, Ordovician, Profilstranda section, Ny Friesland, Spitsbergen. A. Specimen FMNH-P30394. B. Specimen FMNH-P30406. C. Specimen FMNH-P30395, oblique section roughly dorsal-ventrally oriented with ventral side directed toward the left. Scale bar = 1 mm for all figures.
Fig. 10 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities
Fig. 10. Median section of orthocones from bed PO 131 of the Olenidsletta Member, Floian, Ordovician, Profilstranda section, Ny Friesland, Spitsbergen. A. Catoraphiceras sp., FMNH-P30425, with graptolite trapped in siphuncle. B–D. Proterocameroceras vallhallfonnense sp. nov. B. Specimen FMNH-P30429. C–D. Holotype, specimen FMNH-P30427. C. Complete specimen with asymmetric endosiphuncular deposits and imploded septa. D. Detail of holotype showing dorsal side of connecting ring and septal necks. Scale bars: A–B = 2 mm; C = 10 mm; D = 1 mm.
Fig. 11 in Early-Middle Ordovician cephalopods from Ny Friesland, Spitsbergen - a pelagic fauna with Laurentian affinities
Fig. 11. Reconstruction and interpretation of details of connecting ring and septal necks in orthoconic cephalopods from the Olenidsletta Member, Floian, Ordovician, Profilstranda section, Ny Friesland, Spitsbergen. A. Order, genus and species indet. B, FMNH-P30424, see also Fig. 49A. B. Buttsoceras buldrebreenense sp. nov., FMNH-P30421, holotype, see also Fig. 35A. C. Proterocameroceras vallhallfonnense sp. nov., FMNH-P30429, see also Fig. 10B. Without scale.
CO2 NEE and ER + air and soil meteorological and climate parameters in Arctic tundra, Ny Ålesund (Svalbard, NO) - summer 2019
<p>The dataset “fluxes_meteoclimate_NyAlesund” is a .csv file reporting CO2 fluxes and basic meteoclimatic variables measured in the Bayelva Basin near Ny Ålesund, in the Brøgger peninsula, Spitsbergen, Norway (78°55’24’’ N, 11°55’15’’E) during the 2019 growing season peak (July-August). Average coordinates of the measuring site are: 78°55’25.7” N,11°53’29.4” E. Fluxes were measured using the flux chamber method: the Net Ecosystem Exchange (NEE) was measured with a transparent flux chamber, while the Ecosystem Respiration (ER) with a shaded chamber. Three types of sampling were performed: at a fixed point during 24h ('point' in column sampling); in points randomly distributed over a site ('site' in column sampling); and in points covered with specific species ('species' in column sampling). Flux data are complemented by measurements of soil temperature (Ts, in Celsius degrees), soil volumetric water content (VWC, in %), atmospheric pressure (Pr, in hPa), air temperature (Ta, in Celsius degrees), air moisture (RH, in %), and solar radiance (rs , in W/m2). The Green Fractional Cover (GFC, between 0 and 1) of the vegetation inscribed within the sampling surface was estimated from digital RGB pictures taken at nadir. Measurements were divided into 4 classes, depending on the prevailing cover type: bare soil (BS), vascular vegetation (V), non-vascular vegetation (NV, including lichens, mosses and bacterial soil crust) and mix of vascular and non-vascular vegetation (MIX). Class V was further split into 5 subclasses: Carex spp. (CX), Dryas octopetala (DR), Salix Polaris (SL), Saxifraga oppostifolia (SX) and Silene acaulis (SI). </p>
Multi-site environmental field recordings for audio event recognition in Upstate NY
<p>The first soundscape is located in a lightly wooded suburban area north of Albany, New York, at about 100 meters above sea level. The surrounding vegetation consists of white pines, spruces, oaks, and maples. The acoustic data was originally collected using a Zoom H2n Handy Recorder in 4-channel mode, yet only data from a single microphone capsule is presented.. Recordings were originally made at 16 bits in Waveform Audio File Format (WAV) at a frequency of 44,100 Hz. This dataset was collected from August 2019 to August 2020.</p> <p><br> The second soundscape is located in a forested area in Lake George, New York, also at about 100 meters above sea level. The surrounding vegetation consists largely of white pines. The microphone array consisted of two H2n Zoom recorders mounted perpendicularly to simulate four-channel recording conditions, yet only data from a single microphone capsule is presented. Recordings were originally made at 256 kbps in MPEG-2 Audio Layer III (MP3) format. This dataset was collected from February 2020 until February 2021.</p> <p>Once all of the audio data was collected, it was segmented into 8 second-long clips, to ensure that both biological and anthropogenic sound sources with longer call lengths were provided with sufficient temporal context, while still achieving reasonable computational efficiency. Each segment was then downsampled to 16 kHz for processing efficiency, allowing each to be represented as a 128,000-sample vector. </p> <p>Sounds</p> <p>ECMK- Eastern chipmunk "chuck"</p> <p>DGBR- dog bark</p> <p>DOWO- Downy woodpecker drum</p> <p>RNFL- rainfall</p> <p>ENGE- engine</p> <p>RCCR- remote control car</p> <p>BUBP- back-up beeper (truck)</p> <p>SREN- siren</p> <p>FFCR- fall field cricket</p> <p>DDCC- dog-day cicada</p> <p>ECMC- Eastern chipmunk "chirp"</p> <p>EGSK- Eastern gray squirrel "kuk"</p> <p>AMRO- American robin</p> <p>AMCR- American crow</p> <p>BLJA- Bluejay</p> <p>NOCA- Northern cardinal</p> <p>BCCH- Black-capped chickadee</p> <p>EAPH- Eastern phoebe</p> <p>BAWW- Black-and-white warbler</p> <p>WBNU- White-breasted nuthatch</p> <p>RBNU- Red-breasted nuthatch</p> <p>**Sounds from site 1 have no specific label tag while sounds from site 2 are specifically labeled with "-site2"</p> <p> </p>
Saw Kill river (NY, USA) metagenomics and environmental variables
<p>Microbial community structure and diversity in waterways are altered by wastewater treatment plant (WWTP) discharge which can introduce human-associated microbes, antimicrobial resistance (AMR), and significantly change environmental variables. To better understand these interactions, we investigated the impact of the Bard College WWTP on microbial communities collected from the surface water and sediment from four sites, two sites above and two sites below the Bard College outflow, as well as the outflow itself, this was performed over a period of five months. We measured physico-chemical parameters such as temperature, turbidity, conductivity, dissolved oxygen, and salinity as well as the bioindicators <em>Escherichia</em> <em>coli</em>, total coliforms, and <em>Enterococcus</em> sp. concentration, endotoxins, the <em>intI1</em> gene marker, and the total bacterial abundance through <em>16S</em> <em>rRNA</em> gene.</p>
WORCC-PMOD/WRC quality assured aerosol optical depth and Ångström exponent for Ny-Ålesund GAW station (2002- present)
<p>WORCC-PMOD/WRC quality assured aerosol optical depth and Ångström exponent for Ny-Ålesund GAW station (2002- present)</p> <p>Aerosol optical depth (AOD) measurements have been performed within the frame of Global Atmospheric Watch Precision Filter Radiometer (GAW-PFR) network in Ny-Ålesund (79N,11E) since 2002. The measurements are performed from March to October, with PFR (PrecisionFilterRadiometer) instruments provided by Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMOD/WRC). The solar tracker and infrastructure are provided by provided by NILU(Norsk institutt for luftforskning) in collaboration with the Norwegian Polar Institute.</p> <p>PFR manufactured by PMOD/WRC is a temperature stabilized instrument at 20<sup>o</sup> C equipped with four narrow band interference filters with nominal centroid wavelengths 368 nm, 412 nm, 500 nm and 862 nm and bandpass (fullwidth half maximum) 4 nm for 368 nm channel and 5 nm for the rest. The instrument is calibrated in yearly bases against the WMO-AOD reference at PMOD/WRC during the polar winter. The operation is done remotely by PMOD/WRC with the installation and onsite maintenance (cleaning, alignment adjustments) done by personnel of Norwegian Polar Institute and NILU in collaboration with PMOD/WRC.</p> <p>The processing and quality assurance of the data is done following the protocols of World Optical depth Research and Calibration Center (WORCC, PMOD/WRC) (2018), and the data are submitted to the WDCA database (EBAS-NILU) as hourly mean AOD and AE values. This dataset contains the high-resolution data (1 min) cloud screened and quality assured since 2002. The provided Ångström exponent is retrieved from the 4 wavelengths.</p> <p> </p> <p> </p> <p>SUN_PFR_AOD_AE_V1.0.dat : AOD and AE for the period 2002-2021</p> <p>Lunar_PFR_AOD_AE_V1.0.dat : AOD and AE for the period 2018-2021</p> <p> </p> <p> </p> <p>KN: Calibration, operation, and processing since 2014, WORCC quality assurance protocols, quality assurance of the presented dataset</p> <p>KS: , WORCC quality assurance protocols, consulting on quality assurance of the presented dataset</p> <p>WC: calibration, operation, and processing 2002- 2014</p> <p>NS: operation and processing 2005- 2012</p> <p>HGH: principal investigator of hosting institute NILU</p> <p>SK: principal investigator of hosting institute NILU</p> <p>Acknowledgement: Special thanks the personnel of the Norwegian Polar Institute at Ny-Ålesund for all valuable the technical support for the solar and lunar measurements.</p> <p> </p> <p> </p> <p>1. Kazadzis, S., Kouremeti, N., Nyeki, S.<em>, et al.</em> (2018) The World Optical Depth Research and Calibration Center (WORCC) quality assurance and quality control of GAW-PFR AOD measurements 10.5194/gi-7-39-2018 <a href="https://gi.copernicus.org/articles/7/39/2018/">https://gi.copernicus.org/articles/7/39/2018/</a></p> <p> </p>
Data to accompany "Automatic text clustering for audio attribute elicitation experiment responses", AES 143rd Convention, New York, NY, USA, 2017
<p>This work was supported by the EPSRC Programme Grant S3A: Future Spatial Audio for an Immersive Listener Experience at Home (EP/L000539/1) and the BBC as part of the BBC Audio Research Partnership. Details about the data underlying this work, along with the terms for data access, are available from http://dx.doi.org/10.15126/surreydata.00841589.</p> <p>If you use the data, please cite the following paper:</p> <p>J. Francombe, T. Brookes, and R. Mason, “Automatic text clustering for audio attribute elicitation experiment responses”, AES 143rd Convention, New York, NY, USA, 2017</p>
Dataset: Generations Bancorp NY, Inc. (GBNY) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: TrustCo Bank Corp NY (TRST) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Northfield Bancorp, Inc. (Staten Island, NY) (NFBK) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Linked collectors and determiners for: The New York Botanical Garden Herbarium (NY).
Natural history specimen data linked to collectors and determiners held within, "The New York Botanical Garden Herbarium (NY)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d415c253-4d61-4459-9d25-4015b9084fb0">https://bionomia.net/dataset/d415c253-4d61-4459-9d25-4015b9084fb0</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d415c253-4d61-4459-9d25-4015b9084fb0">https://gbif.org/dataset/d415c253-4d61-4459-9d25-4015b9084fb0</a>. Formatted as a Frictionless Data package.
Decoding NY-ESO-1 TCR T Cells: Transcriptomic Insights Reveal Dual Mechanisms of Tumor Targeting in a Melanoma Murine Xenograft Model
<p><span>Single-cell RNA-seq data of NY-ESO-1-specific TCR T-cells generated with the BD Rhapsody™ system.</span></p> <p><span>Biogroup information: Control (<em>n</em><span> </span>= 4), PB (murine peripheral blood, <em>n</em><span> </span>= 4).</span></p> <p><span>Cell preparation: NY-ESO-1-specific TCR T-cells were obtained via a retroviral transduction of an anti-NY-ESO-1-TCR construct, murine peripheral blood T-cells were enriched using anti-CD3 magnetic separation via MojoSortTM Human CD3 Selection Kit.</span></p> <p><span>Single-cell analysis system: BD Rhapsody™</span></p> <p><span>Library strategy: 3' mRNA sequencing</span></p> <p><span>Library preparation protocol: BD Rhapsody™ Targeted mRNA and Sample Tag Library Preparation</span></p> <p><span>mRNA panel: BD Rhapsody™ Immune Response Panel HS</span></p> <p><span>BD Pipeline version: 1.11L</span></p>
Linked collectors and determiners for: NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA.
Natural history specimen data linked to collectors and determiners held within, "NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a185d0c4-1a12-45c1-a729-2a7b058b528d">https://bionomia.net/dataset/a185d0c4-1a12-45c1-a729-2a7b058b528d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a185d0c4-1a12-45c1-a729-2a7b058b528d">https://gbif.org/dataset/a185d0c4-1a12-45c1-a729-2a7b058b528d</a>. Formatted as a Frictionless Data package.
Fractional Snow Covered Area at Ny-Ålesund (Svalbard, Norway)
<p>The gridded datasets is a ensembled product obtained since 2020 processing imagery acquired by different time-lapse cameras located at the Zeppelin Observatory, at the Gruvebadet Snow Research Site and at the Amundsen-Nobile Climate Change Tower. </p>
Data for Widespread detection of chlorine oxyacids in the Arctic atmosphere: Villum Research Station and Ny-Ålesund observations
<p>The data includes:</p> <p>1) Data for the time series of HClO3 and HClO4 together with relevant data from the Villum Research Station observations.</p> <p>2) Data for the time series of HClO3 from Ny-Ålesund observation.</p> <p>3) Data of the estimated cross-section and photolysis rate of HClO3 and HClO4.</p> <p>Data are also available from the corresponding authors upon request. </p>
Microscopic images of Dictyosphaeria ocellata (Howe 5090 and Howe 5585), New York Botanical Garden (NY)
<p>Microscopic images of</p> <p>Valonia ocellata M.Howe - M. A. Howe 5090, 1907-11-25, Bahamas, Watling Island, in the lagoon, 24.063924 -74.532563, New York Botanical Garden (NY) 00937651 (Holotype)</p> <p>Valonia ocellata M.Howe – M.A. Howe 5585, 1907-12-16, Turks and Caicos Islands, Cockburn Harbor, South Caicos, B.W.I., 21.500434 -71.532698, New York Botanical Garden (NY) 02140870</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.