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412 results for “September”
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for September-December 2001
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 4 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for September-December 2001.
Marsh water table height, logging data from the Railroad site on the Parker River for September-December 2002
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 4 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for September-December 2002.
Marsh water table height, logging data from the Typha site on the upper Parker River for September-October 2001
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 4 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for September - October 2001.
Marsh water table height, logging data from the Typha site on the upper Parker River for September-December 2002
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 4 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, September - December 2002.
Cumulative PLOS ALM Report - September 2015
Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This PLOS ALM report contains the cumulative stats collected for all works through September 10, 2015. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.
Cumulative Data-Level Metrics (DLM) Report - September 2015
<p>Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This DataSite Data-Level Metrics (DLM) Server report contains the cumulative stats collected for all works through September 11, 2015. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.</p>
Nueva serie de extensión del hielo marino ártico en septiembre entre 1935 y 2014 - A new time series of September Arctic sea ice extent: 1935-2014
<p>Archivo CSV - Presentamos una nueva serie de extensión del hielo marino ártico en el mes de septiembre desde 1935 hasta 2014 que incluye datos para el sector siberiano no utilizados hasta ahora en las series que cubren el conjunto del Ártico. La nueva serie ha sido ajustada para ser consistente con los datos de satélite</p> <p>CSV file - We present a new time series of September Arctic sea ice extent from 1935 to 2014 that includes data for the Siberian sector (AARI operational charts) not used previously in the Arctic wide existing time series (Walsh, HadISST). The new record has been adjusted to be consistent with the satellite data.</p> <p> </p>
Nueva serie de extensión del hielo marino ártico en septiembre entre 1935 y 2014 - A new time series of September Arctic sea ice extent: 1935-2014
<p>Archivo NetCDF- Presentamos una nueva serie de datos raster con la extensión del hielo marino ártico en el mes de septiembre desde 1935 hasta 2014 que incluye datos para el sector siberiano no utilizados hasta ahora en las series que cubren el conjunto del Ártico. La nueva serie ha sido ajustada para ser consistente con los datos de satélite.</p> <p>NetCDF file - We present a new gridded September Arctic sea ice extent dataset from 1935 to 2014 that includes data for the Siberian sector (AARI operational charts) not used previously in the Arctic wide existing time series (Walsh, HadISST). The new record has been adjusted to be consistent with the satellite data.</p> <p> </p>
Level A Pan Europe Solar Index for estimation of Potential evaporation September
Solar Index for estimation of Potential evaporation September. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Data complementing the Avian influenza overview September–December 2023
<p>Data complementing the Avian influenza overview September–December 2023</p><p> </p><p><strong>Annex A – Data on wild bird species and HPAI virus detections in birds</strong></p><p>The annex contains tables and figures on wild bird species and HPAI virus detections in birds.</p><p> </p><p><strong>Annex B – Characteristics of the HPAI A(H5Nx)-affected poultry establishments</strong></p><p>The annex contains a table with the characteristics of the HPAI A(H5Nx)-affected poultry establishments by affected European country submitted to ADIS between 1 September and 2 December 2023.</p><p> </p><p><strong>Annex C – Data on virus sequences</strong></p><p>The annex contains information on authors, originating and submitting laboratories of the sequences from GISAID's EpiFlu™ Database on which this research is based. All data submitters may be contacted directly via <a href="https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.gisaid.org%2F&data=05%7C02%7C%7Cbccd5bb40f5e4a4ccee508dbfbeb3823%7C406a174be31548bdaa0acdaddc44250b%7C1%7C0%7C638380763212264062%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Yxkh9bN0bH3m4Pak8DJa4Mkdj1PTc6%2FYqIoei05qg1M%3D&reserved=0">www.gisaid.org</a>.</p>
Sea ice and wave breaking patterns during the Terra Nova Bay Polynya event on September 19, 2019, based on very high resolution satellite imagery
<p>Results of the WorldView-2 (WV2) panchromatic image analysis, described in Herman and Bradtke 2023 "Fetch-limited, strongly forced wind waves in waters with frazil and grease ice — spectral modelling and satellite observations in an Antarctic coastal polynya". The image, which cover part of the polynya in Terra Nova Bay, was taken on September 19, 2019 at 21:22 UTC. The spatial resolution of source data is 0.5 m.</p> <p>The zip file contains:</p> <ol> <li> “AOI” folder with the analyzed area outline in SHAPEFILE format</li> <li>“whitecaps” folder with breaking wave signatures (polygons) in SHAPEFILE format</li> <li>Sea ice (1) - water (2) mask in GeoTIFF format (0 means NoData)</li> </ol> <p>Data are provided in WGS 1984 / UTM Zone 58S projection (EPSG:32758)</p>
HIRHAM–NAOSIM simulations for the periods March/April 2018 and March to September 2020
<p>This dataset group comprises subsets of two HIRHAM–NAOSIM simulations for the periods March/April 2018 and March to September 2020, as used in the paper “Observations and modeling of areal surface albedo and surface types in the Arctic” by Jäkel et al. (2024, https://doi.org/10.5194/tc-18-1185-2024).</p> <p>The simulation for 2018 was originally carried out for the period from January to September 2018. It was started from rest with temperature, salinity, ice thickness, and ice concentration fields from ORAS5. The simulation for 2020 was originally carried out for the period 2019-2020 and initialized with fields from 1 January 2019, 00 UTC of an earlier long-term simulation. The prognostic atmospheric fields of the two simulations were nudged to the corresponding ERA5 fields with a vertically uniform nudging time scale of 16.67 h. Sea ice and ocean fields were initialized with fields from an earlier long-term simulation. Further details on the simulations are given in "On the importance to consider the cloud dependence in parameterizing the albedo of snow on sea ice" by Foth et al. (2023, https://doi.org/10.5194/egusphere-2023-634).</p>
Solar and meteorological data collected from the Bras Panon Moreau station (La Réunion) by the ENERGY-lab at the University of La Reunion between November 2010 and September 2014
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Saint Joseph Marie station (La Réunion) by the ENERGY-lab at the University of La Reunion between September 2013 and June 2015
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
AWI-Gen 2 Microbiome Project MAGs September 2024
<p>Metagenome-assembled genomes, phage genomes, and related statistics for the AWI-Gen 2 Microbiome Project. </p>
Multi-Mission Phase Space Density Observations - 6 - 10 September 2017
<p>FILE DESCRIPTION:<br> Archived data for the manuscript “Resolving Magnetopause Shadowing Using Multi-Mission Measurements of Phase Space Density” Staples et al., submitted to the Journal of Geophysical Research: Space Physics (manuscript archived via Earth and Space Science Open Archive ESSOAr<strong>;</strong> Washington, Mar 11, 2021. DOI:10.1002/essoar.10506455.1).</p> <p><br> These files contain multi-mission phase space density measurements including, Van Allen Probes, GOES 13, 14, 15, GPS, MMS, and THEMIS, computed in adiabatic coordinates. All data is between 6 - 10 September 2017. For detailed description of the method used in the computation of this data, see section 2.1 of the submitted manuscript.<br> <br> The THEMIS, Van Allen Probe, MMS, and GOES data used in computations is publicly available via http://cdaweb.gsfc.nasa.gov <br> The GPS data is available via https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/</p> <p>FILES:</p> <p>'allsc_psd_mu400.txt' - electron PSD from all spacecraft listed above, where µ = 390 to 410 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>'allsc_psd_mu900.txt' - electron PSD from all spacecraft listed above, where µ = 877.5 to 922.5 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 350 to 450 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 850 to 950 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p><br> DATA OWNER: Adam Kellerman<br> DATA PREPERATION: Frances Staples</p> <p><br> CONTACT:<br> Adam Kellerman: akellerman@epss.ucla.edu<br> Frances Staples: frances.staples@ucl.ac.uk<br> </p>
LPL2 - September 2021
<p>Measurements of LPL2 (PN Caldera de Taburiente) in September 2021</p> <p>El Paso, La Palma</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
LPL1 - September 2021
<p>Measurements of LPL1 (Güímar) in September 2021</p> <p>Tenerife</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
UEX1 - September 2021
<p>Measurements of UEX1 (Universidad Extremadura) in September 2021</p> <p>Universidad Extremadura</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/UEX1">info</a></p>
LPL3 - September 2021
<p>Measurements of LPL3 (Costa este de Madeira) in September 2021</p> <p>Madeira</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL3">info</a></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.