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Dataset results
412 results for “September”
Data from: "Polar bear (Ursus maritimus) transcriptome assembly and SNP discovery" in Genomic Resources Notes accepted 1 August 2013-30 September 2013
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Data from: "Transcriptomic resources for Hazelnut tree (Corylus avellana L.)" in Genomic Resources Notes Accepted 1 August 2015 to 31 September 2015
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Data from: "Transcriptome resources for the oriental rat flea and primary plague vector, Xenopsylla cheopis" in Genomic Resources Notes Accepted 1 August 2015 to 31 September 2015
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Data from: "Transcriptomic resources for three populations of Conus miliaris (Mollusca: Conidae) from Easter Island, American Samoa and Guam" in Genomic Resources Notes Accepted 1 August 2014-30 September 2014
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RACMO2.3p3 monthly-accumulated shortwave radiation data for Greenland (September 2000 - 2018)
<p>This data set contains RACMO2.3p3 output for Greenland between September 2000 to 2018 at 11 km. Netcdf files are provided for monthly-averaged data for shortwave downward (swsd) and net shortwave (swsn) radiation for total-sky and clear-sky conditions. In addition, the topography and ice mask are added in a separate file. This data set is used in the manuscript "Evaluation of a new snow albedo scheme for the Greenland ice sheet in the regional climate model RACMO2".</p>
RACMO2.3p3 monthly SMB, SEB, t2m and t10m data for Greenland (September 2000-2018)
<p>This data set contains RACMO2.3p3 (Rp3) output between September 2000 to 2018 and RACMO2.3p3 without energy absorption (Rp3 WIE) output between September 2000 to 2015 for Greenland at 11 km. Netcdf files are provided for monthly-accumulated (monthlyS) and monthly-averaged (monthlyA) data for the surface mass balance (SMB), surface energy budget (SEB) and temperature. The following parameters are included: 2-m air temperature (t2m), 10-m depth snow temperature (t10m), shortwave downward radiation (swsd), net shortwave radiation (swsn), longwave downward radiation (lwsd), net longwave radiation (lwsn), sensible heat flux (senf), latent heat flux (latf), surface mass balance (smb), precipitation (precip), refreezing (refreeze), sublimation (subl), drifting snow erosion (sndiv), runoff and snow melt. In addition, the topography and ice mask are added in a separate file. This data set is used in the manuscript "Impact of updated radiative transfer scheme in RACMO2.3p3 on the surface mass and energy budget of the Greenland ice sheet".</p>
PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWL (v2.1.0 - September 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Class-Inverse Relations-OWL</i></p><p><strong>Build Date: </strong>September 01, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/September-01%2C-2021">here</a>.</li></ul>
Modeling Equatorial Plasma Bubbles with SAMI3/WACCM-X: September 2017 Storm
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FIGURE 49 in Supplementary data and taxonomic changes in the subterranean beetles of the Balkan Peninsula from July 1 2016 to September 30 2023
FIGURE 49. Speoplanes biocovensis Müller, 1934, 7.50–9.00 mm (original).
FIGURE 28. Anthroherpon spelaebatoides Noesske, 1914 in Supplementary data and taxonomic changes in the subterranean beetles of the Balkan Peninsula from July 1 2016 to September 30 2023
FIGURE 28. Anthroherpon spelaebatoides Noesske, 1914 (ex Hlaváč et al. 2017: 89), 3.90–4.00 mm.
07 - Teacher training September
<p>All videos of the teacher training of september 2021 for CreaSTEAM project.</p>
August-September maximum temperature reconstruction for the Southeastern United States (1760-2022 CE)
<p>Over recent decades, the southeastern United States (Southeast) has become increasingly well represented by the terrestrial climate proxy record. However, while the paleo proxy records capture the region's hydroclimatic history over the last several centuries, the understanding of near-surface air temperature variability is confined to the comparatively shorter observational period (1895-present). Here, we detail the application of blue intensity (BI) methods on a network of tree-ring collections and examine their utility for producing robust paleotemperature estimates. Results indicate that maximum latewood BI (LWBI) chronologies exhibit positive and temporally stable correlations (<em>r </em>= 0.28- 0.54<em>, p </em>< 0.01) with summer maximum temperatures. As such, we use a network of LWBI chronologies to reconstruct the August-September average maximum temperatures for the Southeast spanning the period 1760-2010 CE. Our work demonstrates the utility of applying novel dendrochronological techniques to improve the understanding of the longer-term temperature history of the Southeast.</p>
National Library of Venezuela, September 13, 2023
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RBN and WSPRNet Data for September 2017
<p>RBN and WSPRNet Data for September 2017</p>
2024 10Ks up to September.
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LPL2 - September 2024
<p>Measurements of LPL2 (Caldera de Taburiente NP) in September 2024</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
Data from: "Comparative genomic resources for spiny lizards (genus Sceloporus)" in Genomic Resources Notes accepted 1 August 2014-30 September 2014
To advance comparative genomic studies of the spiny fence lizards (genus Sceloprous), we provide the genomic annotations for 35 Sceloporus species.
#YMMFire crawl; August 31-September 2, 2016
<p>Consists of a web crawl of unique URLs tweeted with the #YMMFire hashtag. #YMMFire collection took place from May 1-June 25, 2016. Unique URLs were extracted from the dataset, and harvested with Heritrix on August 31-September 2, 2017.</p>
Legend to conference participants: from: Kováč Ľ (2013) 21st International Conference on Subterranean Biology, Košice, Slovakia, 2–7 September 2012. Subterranean Biology 11: 75-78. https://doi.org/10.3897/subtbiol.11.6490
Legend to conference participants: - 1 Andrej Mock 2 Marconi Souza Silva 3 Matheus B. Mescolotti 4 Bernd Hauser 5 Christian Juberthie 6 Pierre J. Strinati 7 Valerio Sbordoni 8 Marina Cobolli 9 Monika Balogová 10 Dajana Hmura 11 Maja Hodžić 12 Ana Sofia P. S. Reboleira 13 Janice Muriel-Cunha 14 Elżbieta Dumnicka 15 Horst Wilkens 16 Luiza B. Simões 17 Marcella P. Uchoa 18 Kym M. Abrams 19 Rachael A. King 20 Florian Malard 21 Ioana N. Meleg 22 Cornelia Spengler 23 Maria Avramov 24 Lou Maurice 25 Peter Ľuptáčik 26 Remko Leijs 27 Thami G. Silva 28 Anđela Ćukušić 29 Stuart Halse 30 Tamara Ćuković 31 Ana Komerički 32 Helena Bilandžija 33 Jana Bedek 34 Vladimír Košel 35 Jean-Jacques Geoffroy 36 Hans S. Reip 37 Elke Aden 38 Ulrike Strecker 39 Jaroslav Smrž 40 Michal Rendoš 41 Alena Nováková 42 Vladimír Šustr 43 José D. Gilgado 44 Alexander M. Weigand 45 Sanja Gottstein 46 David Eme 47 Ľubomír Kováč 48 Gregor Aljančič 49 Magdalena Năpăruş 50 Zuzana Višňovská 51 William Jeffery 52 Thais G. Pellegrini 53 Iva Njunjić 54 Marko Lukić 55 Martina Pavlek 56 Lucie Volná 57 Beata Adamczyk 58 Giuseppe Messana 59 Oana T. Moldovan 60 Stefano Taiti 61 Maria E. Bichuette 62 Pedro Oromí 63 Lívia M. Cordeiro-Borghezan 64 Karel Tajovský 65 Somayeh Esmaeli-Rineh 66 Vahid Akmali 67 Branko Jalžić 68 Aleksandra Kilian 69 Jaroslav Svatoň 70 Roman Ozimec 71 Mladen Kučinić 72 Slavko Polak 73 Erika L. S. Taylor 74 Marcus P. A. Oliveira 75 Rodrigo L. Ferreira 76 Vladimír Papáč 77 Traian Brad 78 Alica Chroňáková 79 Edita Miková 80 Peter Fenďa 81 Marcel Uhrin 82 William F. Humphreys 83 Eleonora Trajano 84 Marie-José Turquin 85 Marcus V. Dominguez 86 Laura Epure 87 Jonas E. Gallão 88 Rodica Plăiaşu 89 Steven J. Taylor 90 Horton H. Hobbs III 91 Hans J. Hahn 92 Tanja Pipan 93 Peter Trontelj 94 David Culver 95 Daniel W. Fong 96 Vlastimil Růžička 97 José G. Palacios-Vargas 98 Ian Moody 99 Jason Corbett 100 Robert A. Susac 101 Barbara Zakrzewska 102 Maja Zagmajster 103 Ivica Barač, and 104 Valerio Ketmaier. Sketch: P. Ľuptáčik.
Multi-Spacecraft Observations of the September 05, 2022 CME
<p>Combination of in situ data, remote sensing observations, and CME modeling for the ICME on 2022 September 05. <strong>(a)</strong> Running difference COR2 image from STEREO-A at 19:11 UT, where the location of PSP is represented by the white asterisk. <strong>(b)</strong> The combined WISPR FOV, overlaid on a grid of heliocentric longitude and latitude. <strong>(c)</strong> PSP orbital trajectory in HEEQ coordinates, with CME1 in blue and CME2 in red. The orbital location of Solar Orbiter (SOLO), STEREO-A (STA), and Earth are shown by black arrows. <strong>(d)</strong> In situ measurements observed by PSP. From top to bottom, the electron density from QTN (blue) and SPAN-E (red), solar wind velocity spectra from SPAN-I, RTN magnetic field vector with magnitude (black), and normalized ePADs measured at 433 eV. The vertical black line indicates the current time in the animation. An animation of this figure is also available in the online Journal, spanning from 22-09-05/16:00 to 22-09-07/12:00~UT, syncing the different cadence rates of the coronagraph imaging, in situ measurements, and CME modeling.</p>
ScienceDex guides
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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.