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412 results for “September”
September 2002 bin-averaged CTD profiles for the Georgia Coastal Ecosystems Intracoastal Waterway transect
Three hydrographic surveys were performed from September 16 to September 18, 2002, along the Intracoastal Waterway between the Altamaha River south of Wolf Island and Sapelo Sound (Intracoastal Waterway Transect, GCE-IC). Vertical CTD profiles were collected at various intervals from 0km to 29km along the transect during various tidal regimes. Conductivity, temperature, pressure and optical backscatter were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected on the upcast were deleted, and the remaining data were averaged within 0.5m depth bins and interpolated to produce a smooth profile for contouring. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 bin-averaged CTD profiles for the Georgia Coastal Ecosystems Sapelo River transect
Three hydrographic surveys were performed on September 17, 2002, along a transect from Sapelo Sound up the Sapelo River to Eulonia, Georgia (Sapelo River Transect, GCE-SP). Vertical CTD profiles were collected at approximately 2km intervals from 0km to 36km during low and high tidal regimes. Conductivity, temperature, pressure and optical backscatter were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected on the upcast were deleted, and the remaining data were averaged within 0.5m depth bins and interpolated to produce a smooth profile for contouring. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 bin-averaged CTD profiles for the Georgia Coastal Ecosystems Altamaha River transect
Four hydrographic surveys were performed on September 18, 2002, along an east-to-west transect up the Altamaha River in Georgia (Altamaha River Transect, GCE-AL). Vertical CTD profiles were collected at 1-2km intervals from 2km east of the line of demarcation (station -02) to 28km upriver along the transect during low and high tidal regimes. Conductivity, temperature, pressure and optical backscatter were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected on the upcast were deleted, and the remaining data were averaged within 0.5m depth bins and interpolated to produce a smooth profile for contouring. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 CTD, PAR, oxygen and chlorophyll profiles for the Georgia Coastal Ecosystems Doboy Sound transect
Two hydrographic surveys were performed on September 16, 2002, along an east-to-west transect through Doboy Sound near Sapelo Island, Georgia (Doboy Sound Transect, GCE-DB). Vertical CTD profiles were collected at approximately 2km intervals from -2km to 10km along the transect during low tide and high tide conditions. Conductivity, temperature, pressure, optical back scatter, photosynthetically-available radiation, oxygen and chlorophyll a fluorescence were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected during the upcast were deleted. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 CTD, PAR, oxygen and chlorophyll profiles for the Georgia Coastal Ecosystems Inner Marsh transect
One hydrographic survey was performed on September 18, 2002, along the Darien River, North River, and north channel of the Altamaha River (Inner Marsh Transect, GCE-IM). Vertical CTD profiles were collected at various nominal stations along the transect during a high tidal regime. Conductivity, temperature, pressure, optical back scatter, photosynthetically-available radiation, oxygen and chlorophyll a fluorescence were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected during the upcast were deleted. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 CTD, PAR, oxygen and chlorophyll profiles for the Georgia Coastal Ecosystems Intracoastal Waterway transect
Three hydrographic surveys were performed from September 16 to September 18, 2002, along the Intracoastal Waterway between the Altamaha River south of Wolf Island and Sapelo Sound (Intracoastal Waterway Transect, GCE-IC). Vertical CTD profiles were collected at various intervals from 0km to 29km along the transect during various tidal regimes. Conductivity, temperature, pressure, optical back scatter, photosynthetically-available radiation, oxygen and chlorophyll a fluorescence were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected during the upcast were deleted. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 CTD, PAR, oxygen and chlorophyll profiles for the Georgia Coastal Ecosystems Sapelo River transect
Three hydrographic surveys were performed on September 17, 2002, along a transect from Sapelo Sound up the Sapelo River to Eulonia, Georgia (Sapelo River Transect, GCE-SP). Vertical CTD profiles were collected at approximately 2km intervals from 0km to 36km during low and high tidal regimes. Conductivity, temperature, pressure, optical back scatter, photosynthetically-available radiation, oxygen and chlorophyll a fluorescence were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected during the upcast were deleted. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 CTD, PAR, oxygen and chlorophyll profiles for the Georgia Coastal Ecosystems Altamaha River transect
Four hydrographic surveys were performed on September 18, 2002, along an east-to-west transect up the Altamaha River in Georgia (Altamaha River Transect, GCE-AL). Vertical CTD profiles were collected at 1-2km intervals from 2km east of the line of demarcation (station -02) to 28km upriver along the transect during low and high tidal regimes. Conductivity, temperature, pressure, optical back scatter, photosynthetically-available radiation, oxygen and chlorophyll a fluorescence were measured, and depth, salinity and sigma-t were calculated for each profile. Data values collected during the upcast were deleted. This data set was collected as part of the Georgia Coastal Ecosystems LTER quarterly hydrographic monitoring program.
September 2002 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in September, 2002. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
Grass exposure, mesquite height, and plant greenness at a Jornada Basin LTER sand-sheet site, July and September 2019
Two large wind storms in March and April, 2019 caused severe erosion and exposed the roots of many grass patches in the wind-erodible "sand sheet" of the Jornada LTER. These data are from these wind-affected areas. Field transect measurements of grass cover (line-point intercept, grass plants with exposed roots (1-m belt transect), grass plants with green shoots (1-m belt transect), mesquite (PRGL) height (maximum height of cord on transect for each individual) for 18 transects in the sandy loam "sand sheet" geomorphic surface of Jornada. Also included are histograms of UAV-based measurements of green chromatic coordinate (GCC) and grass patch size (cm2) for individual grass patches within each 1-m belt transect.
Earth grazing meteor over Northern Europe, September 22, 2020, 03:53UTC
<p>An earth grazing meteor was observed over Northern Europe on September 22, 2020, around 03:53UTC.</p> <p>From Dwingeloo in the Netherlands, two images were obtained.</p> <ul> <li>2020-09-22T03:53:33.445.fits (FITS format, BGGR bayer matrix)</li> <li>2020-09-22T03:53:33.445.png (Debayered image)</li> <li>2020-09-22T03:53:50.135.fits (FITS format, BGGR bayer matrix)</li> <li>2020-09-22T03:53:50.135.png (Debayered image)</li> </ul> <p>The image times refer to the start of the exposure.</p>
Tess dataset - September 2016
<p>This datasets corresponds to the measures taken by the STARS4ALL photometer network during the month of September(2016).</p>
Nationally Representative Social Contact Patterns among U.S. adults, August 2020-September 2021
<p>The CovidVu study is a national probability survey that collected data on SARS-CoV-2 infection in the U.S. in three rounds: August-December 2020, March-April 2021, and July-September 2021. The goal of this study was to estimate cumulative incidence of SARS-CoV-2 infection in the United States. Surveys were mailed to randomly sampled households in the U.S., and one adult member of the household filled out the questionnaire and sent back SARS-CoV-2 specimens for testing. The data collected included information on social contacts by age, location, and whether they were physical or nonphysical contacts, as well as key demographic information on participants. Survey weights were used to determine unbiased estimates of key parameters, and were based on the population of noninstitutionalized, housed adults (>=18 years of age) in the U.S. Weights were calculated with respect to gender, age, race/ethnicity, education, income, marital status, and census division. For more in-depth information, please visit https://prismhealth.emory.edu/covidvu/ to view recent publications using this data.</p>
FGI ARVO VLS-128 LiDAR Point Cloud, Käpylä, 7th of September 2020
<p>This LiDAR point cloud dataset is collected with a research platform of Finnish Geospatial Research Institute (FGI), called Autonomous Research Vehicle Observatory (ARVO). The dataset was collected with Velodyne VLS-128 Alpha Puck LiDAR, 7th of September 2020 in a suburban environment in the area of Käpylä in Helsinki, the capital of Finland. The environment in the dataset consists of a straight two-way asphalt street, called Pohjolankatu, which starts from a larger controlled intersection at the crossing of Tuusulanväylä (60.213326° N, 24.942908° E in WGS84) and passes by three smaller uncontrolled intersections until the crossing of Metsolantie (60.215537° N, 24.950065° E). It is a typical suburban street with tram lines, sidewalks, small buildings, traffic signs, light poles, and cars parked on both sides of the streets. To collect a reference trajectory and to synchronize the LiDAR measurements, we have used a Novatel PwrPak7-E1 GNSS Inertial Navigation System (INS).</p> <p>The motion distortion of each individual scan has been corrected with a postprocessed GNSS INS trajectory and the scans have been registered with Normal Distributions Transform (NDT). Each point is provided with a semantic label probability vector and the final point cloud is averaged with a 1 cm voxel filter.</p> <p>The steps to create this preprocessed dataset have been described in more detail in the article "<a href="https://arxiv.org/abs/2301.03956">Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity</a>" published in IROS 2022. However, the number of points in each semantic segment in Table I in Section IV-A are different. The correct values are shown in the table below. This does not affect the results.</p> <table align="left"> <caption>TABLE I: RandLA-Net classified dataset label proportions.</caption> <tbody> <tr> <td><strong>Semantic label</strong></td> <td><strong>No. of points</strong></td> <td><strong>% of all</strong></td> <td><strong>% of used</strong></td> </tr> <tr> <td>Ground</td> <td>14,206,060</td> <td>32.3</td> <td>50.3</td> </tr> <tr> <td>Building</td> <td>7,782,757</td> <td>17.7</td> <td>27.6</td> </tr> <tr> <td>Tree Trunk</td> <td>3,736,775</td> <td>8.5</td> <td>13.2</td> </tr> <tr> <td>Fence</td> <td>2,201,851</td> <td>5.0</td> <td>7.8</td> </tr> <tr> <td>Pole</td> <td>206,983</td> <td>0.5</td> <td>0.7</td> </tr> <tr> <td>Traffic Sign</td> <td>85,316</td> <td>0.2</td> <td>0.3</td> </tr> <tr> <td>Labels used here</td> <td>28,219,742</td> <td>64.1</td> <td>100.0</td> </tr> <tr> <td>Others</td> <td>15,821,962</td> <td>35.9</td> <td> </td> </tr> <tr> <td>Total</td> <td>44,041,704</td> <td>100.0</td> <td> </td> </tr> </tbody> </table>
Data archive and code for "Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison"
<p>This upload contains data and code related to the paper "Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison" by M. Bushuk, S. Ali, D. Bailey, Q. Bao, L. Batte, U. S. Bhatt, E. Blanchard-Wrigglesworth, E. Blockley, G. Cawley, J. Chi, F. Counillon, P. Goulet Coulombe, R. Cullather, F. X. Diebold, A. Dirkson, E. Exarchou, M. Gobel, W. Gregory, V. Guemas, L. Hamilton, B. He, S. Horvath, M. Ionita, J. E. Kay, E. Kim, N. Kimura, D. Kondrashov, Z. M. Labe, W. Lee, Y. J. Lee, C. Li, X. Li, Y. Lin, Y. Liu, W. Maslowski, F. Massonnet, W. N. Meier, W. J. Merryfield, H. Myint, J. C. Acosta Navarro, A. Petty, F. Qiao, D. Schroder, A. Schweiger, Q. Shu, M. Sigmond, M. Steele, J. Stroeve, N. Sun, S. Tietsche, M. Tsamados, K. Wang, J. Wang, W. Wang, Y. Wang, Y. Wang, J. Williams, Q. Yang, X. Yuan, J. Zhang, and Y. Zhang, published in the Bulletin of the American Meteorological Society, DOI: https://doi.org/10.1175/BAMS-D-23-0163.1.</p> <p>See README.txt for a description of the datasets and code.</p>
DEM and associated kinematic GPS coordinates of September 2002 survey of the salar de Uyuni, Bolivia
<p>This dataset consists of two parts: 1) the post-processed kinematic GPS coordinates of a September 2002 survey of a 45 x 54 km region of the salar de Uyuni, Bolivia. 2) a digital elevation model (DEM) of the salar de Uyuni surface derived from those kinematic GPS data.</p> <p>Details of the survey and DEM generation can be found in the manuscript, "Topography of the salar de Uyuni, Bolivia from kinematic GPS" (doi: 10.1111/j.1365-246X.2007.03604.x). The only difference between this dataset and one described is that the DEM was generated from fitting two-dimensional Fourier basis set with parameters: L_x = L_y = 70000 meters, m = n = 10. This results in a basis set with a nominal resolution of 7 km, which is almost identical to that used in the dataset shown in the manuscript.</p>
Differential Interferogram of the September 16 2018 Mw 5.3 earthquake Lake Muir, Perth, Australia
<p>A moderate earthquake of Mw 5.3 (M<sub>L</sub> 5.7) occured on September 16 2018 near the Lake Muir region, Perth, SW Australia. Despite Australia being in a mostly stable continental interior, moderate or strong shallow crustral earthquakes occured the past years. Due to shallow faulting and low relief/semi-arid conditions in most regions of Australia, even moderate events lead to surficial deformation in form of mapped surface ruptures or deformation identified by radar satellites (InSAR).</p> <p>The Sep.16 earthquake produced a distinctive surficial deformation pattern, identified in an interferometric pair of Sentinel-1 Copernicus radar images (Descending orbit, September 14 - September 26). Sentinel-1 TOPS Interferogram and Line-of-Sight (LOS) displacement were produced using SNAP and DIAPASON tools in the <a href="https://geohazards-tep.eo.esa.int">Geohazards Exploitation Platform</a>. Color fringes on interferogram represent each a ~2.8cm displacement. Displacement (unwrapped) grid files are also provided.</p> <p>InSAR analysis show co-seismic rupture along a NNE-SSW reverse fault plane, consistent with published moment tensors (USGS). LOS profiles show a 5-15cm displacement across a fault rupture that propagated to the surface. Hundreds of metres of fractures and surface ruptures were reported by local farmers' accounts and photographs to the ABC South West Australia news agency.</p>
Integrated Taxonomic Information System (ITIS): ITIS version 26 September 2023
ITIS provides authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. It is a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF). The ITIS and Species 2000 Catalogue of Life (CoL) partnership is proud to provide the taxonomic backbone to the Encyclopedia of Life (EOL). <p></p>https://www.itis.gov/
Evolution of FDA Guidelines on Control of Nitrosamine Impurities in Human Drugs – A Comparative Analysis of September 2024 Revisions
<p>Nitrosamine impurities have become a significant concern in the pharmaceutical industry due to their carcinogenic potential. In response, the U.S. Food and Drug Administration (FDA) has continuously updated its guidelines to ensure the safety and efficacy of drug products. This review article provides a comprehensive analysis of the evolution of FDA guidelines on the control of nitrosamine impurities, with a particular focus on the September 2024 revisions. By comparing the latest guidance with previous versions, this article highlights key changes, including the expanded focus on Nitrosamine Drug Substance-Related Impurities (NDSRIs), updated risk assessment strategies, and the introduction of new Acceptable Intake (AI) limits. The analysis underscores the FDA's commitment to enhancing drug safety through rigorous control measures and global harmonization efforts.</p>
Simulated tracks and associated melting of 6912 small to giant Antarctic icebergs, September 1997 to December 2008
<p>We present a dataset of Antarctic iceberg drift tracks and melting that includes small, medium-sized, and giant tabular icebergs with a realistic size distribution. An iceberg model is initialized with 6912 observed iceberg positions and sizes around Antarctica. The dataset is the result of a 2017 study "A simulation of small to giant Antarctic iceberg evolution: Differential impact on climatology estimates" published in JGR:Oceans (<a href="https://doi.org/10.1002/2016JC012513">https://doi.org/10.1002/2016JC012513</a>).</p> <p>We simulate drift and lateral melt using iceberg-draft averaged ocean currents, temperature, and salinity. A new basal melting scheme, originally applied in ice shelf melting studies, uses in situ temperature, salinity, and relative velocities at an iceberg's bottom. Climatology estimates of Antarctic iceberg melting based on simulations of small (≤2.2 km), “small-to-medium-sized" (≤10 km), and small-to-giant icebergs (including icebergs >10 km) exhibit differential characteristics: successive inclusion of larger icebergs leads to a reduced seasonality of the iceberg meltwater flux and a shift of the mass input to the area north of 58°S, while less meltwater is released into the coastal areas. This suggests that estimates of meltwater input solely based on the simulation of small icebergs introduce a systematic meridional bias; they underestimate the northward mass transport and are, thus, closer to the rather crude treatment of iceberg melting as coastal runoff in models without an interactive iceberg model. Future ocean simulations will benefit from the improved meridional distribution of iceberg melt, especially in climate change scenarios where the impact of iceberg melt is likely to increase due to increased calving from the Antarctic ice sheet.</p> <p> </p>
ScienceDex guides
Understand access before you commit
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.