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672 results for “August”
Linked collectors and determiners for: Caddisfly (Trichoptera) records from Britain (excluding Northern Ireland and Channel Islands) up to August 2022 from the National Trichoptera (Caddisfly) Recording Scheme.
Natural history specimen data linked to collectors and determiners held within, "Caddisfly (Trichoptera) records from Britain (excluding Northern Ireland and Channel Islands) up to August 2022 from the National Trichoptera (Caddisfly) Recording Scheme". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73">https://bionomia.net/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73">https://gbif.org/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Downward flux of phytoplankton cells in East Greenland fjords, August 2022.
Natural history specimen data linked to collectors and determiners held within, "Downward flux of phytoplankton cells in East Greenland fjords, August 2022". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/61137d30-c560-4309-b278-b2e5aebce92f">https://bionomia.net/dataset/61137d30-c560-4309-b278-b2e5aebce92f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/61137d30-c560-4309-b278-b2e5aebce92f">https://gbif.org/dataset/61137d30-c560-4309-b278-b2e5aebce92f</a>. Formatted as a Frictionless Data package.
TROPOMI research ozone profile dataset in August 2022
<p>This dataset contains ozone profile retrievals from TROPOMI (TROPOspheric Monitoring Instrument) backscattered ultraviolet measurements during the Asian Summer Monsoon Chemical and Climate Impacts Project (ACCLIP) conducted over the Western Pacific in summer 2022. The data is stored in individual files for each date, with all variables described in the attribute field. This dataset has been used in Bak et al. (submitted) for an integrated analysis of ozone and carbon monoxide alongside ACCLIP field datasets and other satellite products.</p> <p><strong>Details on Retrieval Methodology:</strong></p> <ol> <li><strong>Inverse Method:</strong> Optimal estimation</li> <li><strong>Radiative Transfer Model:</strong> PCA-VLIDORT v2.8</li> <li><strong>A Priori Ozone:</strong> Tropopause-based ozone profile climatology</li> <li><strong>Fitting Window:</strong> 310-335 nm in the TROPOMI UV3 channel</li> <li><strong>Spatial Resolution:</strong> Cross-track pixels are binned to match the spatial resolution of the TROPOMI UV1 channel, with every 5 scan pixels coadded.</li> <li><strong>Spatial coveragne</strong> : 50E-180E, 10S-70S</li> <li><strong>Heritage:</strong> OMI PROFOZ ozone profile algorithm (Liu et al., 2010; Bak et al., 2024)</li> </ol>
Fig. 2. Water level oscillation measured between August 1998 and July 2000 in Flow seasonality and fish assemblage in a tropical river, French Guiana, South America
Fig. 2. Water level oscillation measured between August 1998 and July 2000 at the Hydrological station on the Comté River. The numbers indicate the mean water level during the month of sampling.
Sounds of a little auk colony at Siorapaluk, Greenland (August 2022)
<p>These are audio records of little-auk sounds collected between August 18-22, 2022 near Siorapaluk, Greenland. We used Song Meter Micro sampling at 44.1 kHz. These August records were taken at the colony. </p> <p>Time-stamp in the file name corresponds to Local Time.</p> <p>For questions, write to evgeniy.podolskiy@gmail.com.</p>
Dataset for "Yield Estimation of the August 2020 Beirut Explosion by Using Physics-Based Propagation Simulations of Regional Infrasound"
<p>Dataset for “Yield Estimation of the August 2020 Beirut Explosion by Using<br> Physics-Based Propagation Simulations of Regional Infrasound”</p> <p>Authors: Keehoon Kim and Michael E. Pasyanos</p> <p>Lawrence Livermore National Laboratory, Livermore, CA, USA</p> <p>Description<br> This datset includes the infrasound waveform data recorded by the array at the<br> Mt. Meron (IMA) in Israel. A five-element array deployed by the National Data<br> Center of Israel (Fee et al., 2013), and all stations had Martec Tekelec MB2005<br> sensors which have a flat frequency response in the infrasound band (0.1–20Hz)<br> (Ponceau and Bosca, 2010). The infrasound data was provided by the National<br> Data Center of Israel, Soreq Nuclear Research Center, and the pressure<br> recordings only relevant to the 2020 Beirut explosion were uploaded to the<br> public repository (https://zenodo.org).</p> <p>File Description<br> IMA_array_infrasound_waveform.txt Pressure values in ASCII format for 5 stations</p> <p>Acknowledgments<br> This research was performed by the support from the U.S. Department of Energy,<br> National Nuclear Security Administration, Office of Defense Nuclear<br> Nonproliferation, Research and Development under the auspices of the U.S.<br> Department of Energy by the Lawrence Livermore National Laboratory under<br> Contract Number DE-AC52-07NA27344. This is LLNL Contribution LLNL-JRNL- 839419</p> <p>References<br> Fee, D., Waxler, R., Assink, J., Gitterman, Y., Given, J., Coyne, J., ... &<br> Grenard, P. (2013). Overview of the 2009 and 2011 Sayarim infrasound<br> calibration experiments. Journal of Geophysical Research Atmospheres, 118(12),<br> 6122-6143.</p> <p>Ponceau, D., & Bosca, L. (2010). Low-noise broadband microbarometers. In<br> Infrasound monitoring for atmospheric studies (pp. 119-140). Springer,<br> Dordrecht.</p>
Fig. 2. The most numerous RDB wetland birds species, recorded during August Counts 2018 and 2021 in The Red Data Book Waterbirds In The Coastal Wetlands Of The Azov-Black Sea Region Of Ukraine - The Results Of The August Counts 2018 And 2021
Fig. 2. The most numerous RDB wetland birds species, recorded during August Counts 2018 and 2021 (bar chart — amount of birds, line chart — number of sites were species was recorded).
Fig. 1 in The Red Data Book Waterbirds In The Coastal Wetlands Of The Azov-Black Sea Region Of Ukraine - The Results Of The August Counts 2018 And 2021
Fig. 1. Coverage of wetlands of Azov-Black Sea coast of Ukraine in 2018 and 2021 (yellow — 1 count, red — 2 counts). The numbers of the wetlands (1–40) correspond to those in table 3.
Fig. 3 in The Red Data Book Waterbirds In The Coastal Wetlands Of The Azov-Black Sea Region Of Ukraine - The Results Of The August Counts 2018 And 2021
Fig. 3. The most important wetlands for RDB wetland bird species according to August Counts 2018 and 2021 (bar chart — average amount of birds, line chart — number of the species recorded at the site).
IWIN: The Isfjorden Weather Information Network (August 2021 - June 2023)
<p>The Isfjorden Weather Information Network provides standard meteorological near-surface measurements from the Isfjorden region in Svalbard. The network includes weather stations permanently installed on lighthouses around the fjord and onboard small tourist cruise ships trafficking the fjord from the spring to the autumn. A defined (fixed-end) data set covering the period August 2021 - June 2023 is available here, while new observations become available in near real-time via the data portals of MET Norway (https://doi.org/10.21343/ebrw-w846; https://thredds.met.no/thredds/unis-obs/unis-obs.html).</p>
August 2023 OCFL Community Meeting
<p>This month's community meeting was allocated to hold a Community Listening Session. Full notes from the listening session can be found at: <a href="https://github.com/OCFL/spec/wiki/2023.08.09-Community-Meeting">https://github.com/OCFL/spec/wiki/2023.08.09-Community-Meeting</a>.</p> <p>More information about the Community Listening Sessions and future Community Listening Session dates can be found at: <a href="https://ocfl.io/news/#community-listening-sessions-for-version-2-of-the-oxford-common-file-layout">https://ocfl.io/news/#community-listening-sessions-for-version-2-of-the-oxford-common-file-layout</a></p>
Cetacean sightings, n T.t.ponticus 59 45 22 4 2 3 1 2 0 0 4 1 June July August September Fig. 4. Sightings per month for each species. in Vantage point surveys of cetaceans (Mammalia, Cetacea) and their interactions with marine birds
Cetacean sightings, n T.t.ponticus 59 45 22 4 2 3 1 2 0 0 4 1 June July August September Fig. 4. Sightings per month for each species.
LPL11 - August 2023
<p>Measurements of LPL11 (Frontera Rural Park) in August 2023</p> <p>El Hierro</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL11">info</a></p>
LPL2 - August 2023
<p>Measurements of LPL2 (Caldera de Taburiente NP) in August 2023</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
SNN-NLN August 2023 HERA Experiment Results
<p>Trial result files, presented plots and summary result tables for HERA simulation RFI detection experiments.</p> <p>These result files are published for complete result transparency and not necessarily re-use.</p>
August–September temperature reconstruction over the period 1792–2020 based on a tree-ring maximum latewood density
<p>We present a late summer (August–September) temperature reconstruction over the period<br> 1792–2020 based on a tree-ring maximum latewood density (MXD) chronology for the southern Tibetan Plateau (TP).<br> The reconstruction explained 66.2% of the variance in the instrumental temperature records during the calibration period<br> 1960–2020.</p>
Fig. 7 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020
Fig. 7. The growth in the list of tintinnid species reported from the Chukchi Sea beginning with the first sampling in 1953 up to and including our 2020 sampling. The list of the 60 species now known for Chukchi Sea, with sampling year first found for each species, and the reference, is given in the supplementary file. Data are from Bursa 1963, Matsuno et al. 2014, Li et al. 2016, Yokoi et al. 2016, Dolan et al. 2017, Xu et al. 2018, Wang et al. 2019, and this study.
Fig. 2. Sampling locations, 2011–2020 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020
Fig. 2. Sampling locations, 2011–2020 in Chukchi Sea. See supplementary file for details of station locations and sampling dates. Colored zones indicate water column depth.
Fig. 5 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020
Fig. 5. Morphological variability of Acanthostomella norvegica found in a single sample. The 18 cells shown were the first properly orientated cells encountered in sample aliquots from Station 17 of the 2017 cruise. Certain individuals shown (e.g., A and K) have lorica morphologies resembling those of a co-gener A. gracilis, first described as a variety of A. norvegica as they differ only in the near absence of an aboral horn. As shown here, the aboral point or horn appears to be quite variable.
Fig. 1 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020
Fig. 1. Examples of the distinct sea ice conditions in August encountered through the 10 cruises. Color-coding indicates areas of sea ice coverage varying from 100% to 0 %, or open water. The year 2012 was a record year of low sea ice extent while 2020 was year of sea ice extent more common in recent years.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.