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517 results for “October”
Sentinel-1 InSAR Browse Service Image of the October 2016 Central Italian Earthquakes
<p>The surface deformation caused by the central Italian earthquakes which occured in October 2016 is captured in this terrain corrected interferogram produced by the Sentinel-1 InSAR Browse Service for the Geohazards Exploitation Platform.</p> <p>Two earthquakes occured on 26<sup>th</sup> October and one on 30<sup>th</sup> October. The Sentinel-1 datasets were acquired on 26-10-2016 for the master and 01-11-2016 for the slave from a descending pass so that the line of sight deformation is viewed from the east.</p> <p>Contains modified Copernicus Sentinel data (2016), processed by DLR/ESA/Terradue.</p>
Sentinel-1 InSAR Browse Service Image of the October 2016 Central Italian Earthquakes
<p>The surface deformation caused by the central Italian earthquakes which occured in October 2016 is captured in this terrain corrected interferogram produced by the Sentinel-1 InSAR Browse Service for the Geohazards Exploitation Platform.</p> <p>Two earthquakes occured on 26<sup>th</sup> October and one on 30<sup>th</sup> October. The Sentinel-1 datasets were acquired on 26-10-2016 for the master and 01-11-2016 for the slave from a descending pass so that the line of sight deformation is viewed from the east.</p> <p>Contains modified Copernicus Sentinel data (2016), processed by DLR/ESA/Terradue.</p>
Landslides from Space - Sucun Landslide, China (28th October 2016)
<p>In October 2016, Typhoon Megi passed over China. Through the heavy rainfall a mass movement was accelerated and about 350'000 cubic metres of debris slided down the hill. This landslide killed 27 people.<br> <br> The pre-event acquisition is from 25th March 2016 (Sentinel-2) and the post-event acquisition is from 30th December 2016 (Sentinel-2). A false colour composite with near-infrared, red and green band is visualised as RGB image.<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Sea ice satellite and model data between October 2014 and December 2015
<p>These images contain monthly averages for Arctic sea ice concentration and thickness between October 2010 and December 2015 from two simulations, one with the TOPAZ4 ocean-sea ice data assimilation system (Sakov et al., 2012 and https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=ARCTIC_REANALYSIS_PHYS_002_003) and another with the S4K Arctic regional model. Image names are self-explanatory. Images with S4K results include a rectangle delimiting S4K domain, inserted in the larger TOPAZ4 domain. This was done to emphasize the transition between the two models, where the latter provides the boundary conditions to the former. </p> <p> </p>
Measurements in October 2021 using a digital magnetic variation station at the Simeiz-Katsiveli geodynamic test site
<p>Measured by the digital magnetic variation station at the Simeiz-Katsiveli test site during the period October 07–21, 2021.</p>
Fremont Bridge Hourly Bicycle Counts by Month October 2012 to present
<p>The Fremont Bridge Bicycle Counter records the number of bikes that cross the bridge using the pedestrian/bicycle pathways. Inductive loops on the east and west pathways count the passing of bicycles regardless of travel direction. The data consists of a date/time field: Date, east pathway count field: Fremont Bridge NB, and west pathway count field: Fremont Bridge SB. The count fields represent the total bicycles detected during the specified one hour period. Direction of travel is not specified, but in general most traffic in the Fremont Bridge NB field is travelling northbound and most traffic in the Fremont Bridge SB field is travelling southbound.</p>
Festival of Frequency Measurement 1 October 2019 for WWV 5 MHz - Toby Haynes VE7CNF
<p>Festival of Frequency Measurement 1 October 2019 for WWV 5 MHz</p> <p>Toby Haynes VE7CNF<br> Location: 49.266918N 122.900887W Grid CN89ng Burnaby, BC, Canada<br> Start Time: 2019 Sept 30 at 23:58 UTC<br> End time: 2019 Oct 2 at 00:02 UTC<br> Antenna: "Inverted L" vertical with ICOM AH-4 auto tuner, 50 ft high, 70 ft horizontal top wire.<br> Receiver: ICOM IC-7410 with internal TCXO reference and internal USB sound card chip with separate clock crystal.<br> Receiver in USB mode with carrier frequency 4998.5 kHz to give a 1500 Hz audio tone for the WWV 5 MHz carrier.<br> Measurement: 1500 Hz tone frequency estimated using program FLDigi v4.1.08 in frequency analysis mode.</p> <p>There was a drop in the WWV 5 MHz signal level around 15:00 UTC, after which the reduced SNR caused more variation in the FLDigi frequency measurements.</p> <p>Frequency calibration:</p> <p>Before and after the data set, the receiver frequency error was determined by using the receiver and FLDigi to measure a reference 5 MHz sine wave from a Rigol DG1032 function generator with external 10 MHz GPS-disciplined frequency reference (Trimble).<br> The "VE7CNF raw_2019-09-30-1810 UTC.csv" file includes the reference measurements and the data set.</p> <p>The two reference signal measurements were:<br> Receiver frequency error +0.066 Hz averaged for 1 minute starting 2019 Sept 30 at 18:10:25 UTC <br> Receiver frequency error +0.028 Hz averaged for 1 minute starting 2019 Oct 2 at 00:03:10 UTC</p> <p>Receiver frequency error at each time during the data set was then estimated, assuming that the error changed linearly over time betwen the two reference measurements. The estimated receiver frequency errors were applied to correct the data set in "VE7CNF CN89ng 5 MHz_2019-09-30-2358 UTC.csv."</p> <p>The measured WWV 5 MHz frequency error vs time is graphed in "VE7CNF_WWV5MHz_2019-10-01UTC.JPG," with a moving 1-minute average applied to the frequency error. The frequency dropped around 01:30 (local sunset was 01:51 UTC) and increased around 14:00 (local sunrise was 14:13 UTC).<br> <br> </p>
Vaximap's home vaccination dataset (October 2022)
<p>Dataset used in preparation for the publication "Vaximap: route optimisation for housebound vaccination", Nature Digital Health, 2022. DOI: 10.1038/s41746-022-00726-2. <strong>Please reference this publication when using this dataset. </strong></p> <p>This dataset comprises requests made to the Vaximap service between Jan 2021 and Oct 2022 for planning vaccinations of housebound patients. Patient locations have been anonymised at the cost of some geographic precision. </p> <p>Data is stored in HDF5 format generated via python and pandas.to_hdf(). </p>
Sedimentation Event Sensor images (26 October 2015–18 June 2015, 3900 m deep at Station M, NE Pacific)
<p>Images taken by the Sedimentation Event Sensor (26 October 2015–18 June 2015, 3900 m deep at Station M, NE Pacific) . See <a href="https://doi.org/10.1016/j.dsr2.2020.104763">https://doi.org/10.1016/j.dsr2.2020.104763</a> for details</p> <p> </p> <p>Huffard, C. L., Durkin, C. A., Wilson, S. E., McGill, P. R., Henthorn, R., & Smith Jr, K. L. (2020). Temporally-resolved mechanisms of deep-ocean particle flux and impact on the seafloor carbon cycle in the northeast Pacific. <em>Deep Sea Research Part II: Topical Studies in Oceanography</em>, <em>173</em>, 104763.</p>
Physical oceanography and meteorological data from the W1M3A observatory, Ligurian Sea (North Western Mediterranean) October 2020 - July 2021
<p>Time series data of physical oceanography (salinity, temperature) and meteorology (atmospheric pressure, wind speed and direction, air temperature and humidity, shortwave radiation, longwave radiation and rain) collected from October 2020 to July 2021 by observatory W1M3A at 1h interval. The file contains tabular data (tab delimited) with the following columns: Day; Month; Year; UTC Hour; Minute ; Longitude [deg]; Latitude [deg]; Atmospheric Pressure [hPa]; Wind speed [m/s]; Wind direction [deg]; Air Temperature [°C]; Relative air humidity [%]; Short wave Radiation [W/m2]; Long wave radiation [W/m2]; Rainfall [mm/h]; Sea temperature @ 6 m [°C]; Sea temperature @ 20 m [°C]; Sea temperature @ 36 m [°C]; Salinity @ 6 m [psu]; Salinity @ 20 m [psu], Salinity @ 36 m [psu].</p>
Water quality and stage in Gibson Jack Creek, SE Idaho, March-October 2020
Diel dissolved organic matter (DOM) variation can be used to understand hydrological and biogeochemical controls on organic matter cycling. We collected high-frequency fluorescent DOM data, and additional high-frequency data that could be used to parse controls, including stage, specific conductivity, water and air temperature, dissolved oxygen, and light availability at three locations in a non-perennial reach in Gibson Jack Creek, in southeastern Idaho. Weekly grab samples were collected for water chemistry throughout the study period. Data were collected from March 2020 through October 2020.
Spider web distribution and characteristics in Dean Creek Marsh, Sapelo Island, Georgia, USA, October 2024
Salt marshes are a rare environment but are nonetheless home to many web-building spiders. This dataset describes a small-scale study of the distribution and sizes of webs in Dean Creek Marsh, located on the southern end of Sapelo Island, Georgia, USA. The study contained three components: A transect survey to understand the spatial distribution and density of spider webs among different vegetation types, a targeted search for webs to understand the population of webs in the region, and a sticky-trap study to investigate the prey abundance among vegetation types in the marsh.
Chlorophyll data from experiments testing for nitrogen, phosphorus, and thiamine limitation of phytoplankton in 39 Ohio lakes of varying trophic status during the growing seasons (April – October) of 2008–2009
Although nitrogen and phosphorus deficiency of algal blooms have been the focus of substantial attention, organic nutrients can limit algal growth in aquatic systems. Growing evidence indicates thiamine (vitamin B1) can influence the community of primary producers in marine systems, but comparatively little is known about the effect of thiamine on freshwater algal productivity. We conducted 106 nutrient deficiency experiments with water from 39 Ohio lakes of varying trophic status during the growing seasons (April – October) of 2008–2009. Specifically, we tested the response of phytoplankton biomass (as chlorophyll a, chl-a) relative to controls to added nitrogen (N), phosphorus (P), thiamine (Th), or combinations of N+P and N+P+Th in integrated surface water collected from the inflow and outflow of each lake. The data presented here show the average chl-a of two replicate samples of each treatment (control, N, P, Th, N+P, N+P+Th), ratio of treatment/control response, and growth response ratio as ln(treatment chl-a/control chl-a). Each entry also includes lake surface water pH at time of collection and the initial chl-a concentration at time of experiment start.
LiDAR data (October 2011) for the Blue River Watershed, Willamette National Forest
Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data on October 27th, 28th and November 1st, 2011 for the United States Forest Service and Environmental Protection Agency. This study includes bare-earth, highest hit, vegetation height, and intensity grids. The raw point cloud data is available on request, due to massive size of the data. Derived entities include aspect, percent slope, hill shades (bare-earth and high hits), flow accumulation grid, and contours.
Station data of passive and active fluorescence measurements of chlorophyll-a (Chl), phycoerythrin (PE), chromophoric dissolved organic matter (CDOM), and variable fluorescence (Fv/Fm) from CCE-CalCOFI Augmented cruises in the California Current System, 2012 - October 2020.
Active and passive fluorescence measurements are made using the ALFA5 system (Chekalyuk and Hafez, 2013) on water from the ship’s underway system (these are not samples from bottles!) during CalCOFI cruises while on station. The instrument uses excitation at 405 and 510 nm to measures passively the fluorescence of chlorophyll-a (Chl), three different phycoerythrins (PE1, PE2 and PE3) and chromophoric dissolved organic matter (CDOM). Variable fluorescence (Fv/Fm) is measured actively using pump-during-probe (PDP) measurements of Chl a fluorescence induction. Fluorescence measurements are normalized to the water’s Raman fluorescence. ALF data are merged with CTD and bottle data that were collected by the CalCOFI group.
Stage, flow, and suspended sediment data from nine "intensive" Coweeta-LTER watershed study sites from August 2010 to October 2011
Automated water samplers were deployed at nine "intensive" Coweeta-LTER watershed study sites from August 2010 to October 2011. They were set to record stream stage every 15 minutes. During six storm events, the samplers were set to collect 1000mL water samples hourly for 24 hours in order to sample suspended sediment during the rising and falling limbs of the hydrograph during storm flow.
Water Quality Data (Porewater) from the Taylor Slough, just outside Everglades National Park (FCE), from August 1998 to October 2006
Porewater samples are collected at SRS1b,SRS1c,SRS1d,SRS2,SRS3, TS/Ph-1-5 within the 1 m^ aboveground sawgrass nondestructive biomass plots. Airstones connected to Tygon tubing are inserted 10-15 cm below the soil surface. Biannually during the wet season, Monoject 140cc syringes are used to collect at least 80 mL of porewater sample and after collection they are immediately placed in an ice filled cooler. The lab processing of these samples include salinity measurements using a refractometer, and filtering the sample through a Whatman GF/F filter. Samples are analyzed for inorganic nutrients such as NO2-,NO3-,NH4+,SRP, and DOC. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques and DOC is quantified on a Shimadzu TOC Analyzer.
Sawgrass above ground biomass from the Taylor Slough, just outside Everglades National Park (FCE), South Florida from October 1997 to December 2006
Sawgrass biomass is measured for TS/Ph-1, 2, 3, & 6 since 1999; TS/Ph-4 & 5 since 1997 to 2006; SRS-1b, 2, & 3 since 2000; SRS1c for 2005 to 2006, and SRS1d since 2006. Three 1 m2 plots are placed on each site. The sites are measured every two months. The number of sawgrass plants is counted for each 1 m2 plot and one third or a minimum of fifteen plants is measured. For each measured plant, measurements of the total number of live leaves, length of the live leaves, and culm diameter at the base are taken. From these measurements we calculate the average leaf length, and the sum of the length of the leaves. We created a model for biomass using a stepwise regression to see which of the variables measured and calculated are more correlated to explain plant biomass. Obtaining the mean biomass for the plants within the plot and multiplying it by the number of plants counted in the plot calculates biomass for each plot. The total biomass for each plot is summed with the other two plots in the same site, and they are averaged to obtain one biomass number per site. To validate our model, plant clippings are obtained in which four plants are clipped (small, medium, large, inflorescence) from each site. The same measurements are applied to the clipped plants as those applied to the measured plants in the plots. The plant clippings are oven dried at 70 degrees C and weighed.
Water Levels from the Taylor Slough, just outside the Everglades National Park (FCE), South Florida from October 1997 to December 2006
Water level is recorded at least hourly at TS/Ph4 and TS/Ph5. Water level is measured with acoustic water level gages that digitally record relative water height relative to the local soil surface.
Water Temperature measured at Shark River, Everglades National Park (FCE) from October 2007 to August 2008
American alligators (Alligator mississippiensis) are top predators in the Florida Coastal Everglades (FCE), but their movement patterns and role in the ecosystem are largely unknown. Proposed restoration and management efforts in the Everglades are likely to influence both alligator movements and the spatiotemporal patterns of their effects on ecosystem and community dynamics, making studies of the factors influencing alligator movements important at this time. In October 2007, we initiated a study of alligators in the Shark River Slough of Everglades National Park using two tracking techniques that have yet to be used on crocodilians: GPS tracking and passive acoustic telemetry. GPS units attached to two alligators have provided 120 positions over a two month period while acoustic transmitters attached to 12 alligators have been detected 34,000 times on an array of 8 monitoring stations within the river system. GPS positions are more accurate than acoustic monitoring and can provide data over the entire range an alligator might move, but acoustic transmitters provide more temporally detailed information on movements within a monitoring array and over a longer duration (potentially years rather than months). Our preliminary results show that alligators may remain in localized areas for weeks at a time, but make long-distance moves from the mouth of the river system to the marsh-mangrove ecotone and likely into the marsh. In general, most alligators moved upstream as freshwater inputs decreased, but some individuals remained near the river mouth even when salinities were high. Ultimately, by characterizing alligator movements in relation to spatiotemporal variation in environmental factors we will be able to predict how alligator distributions and populations will respond to planned increases in freshwater flow. Furthermore, movement data combined with dietary and stable isotopic studies may shed light on the possible role of alligators in the redistribution of nutri
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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.