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373 results for “November”

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zenodo32/100

Continuous snow temperature profiles from the Snow Ice Mass Balance Apparatus (SIMBA) (level 1 Raw), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), November 2022-June 2023

<p>Raw (Level 1) measurements from the Snow Ice Mass Balance Apparatus (SIMBA) deployed at the Avery Picnic site (~ 38°58.345' N, 106°59.811' W) during the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign near Gothic, Colorado, from November 2021 through June 2023. The SIMBA, originally designed for observing the mass balance of sea ice, is comprised of a thermistor chain with 2 cm spacing (Jackson et al., 2013). This system was configured for terrestrial snowpack by the manufacturer, SAMS Enterprise, to the specifications for SPLASH. The chain was installed suspended from a tripod and fixed to a rigid plastic bar near in time to the onset of snowpack in November 2022. The lowest 10 cm of the chain were buried within the soil. The top of the chain reached approximately 180 cm above the soil surface and snow was permitted to accumulate around the chain throughout the winter of 2022-2023. In the files, negative values of the "height" vector are below the soil surface and positive levels are above, which may be either snow or air depending on the snow depth. The system also uses a low-power heating cycle to measure thermistor's temperature response time for aiding in determining material interfaces: see Jackson et al. (2013) for details.&nbsp;</p><p>There are several cautions to be aware of when using these data. The data has been ingested into daily netCDF and metadata (in attributes) have been provided but no quality control has been carried out on this raw version of the data set. From 1 November through 22 December 2022, the sensor obtained profiles every 10 min after which corruption of the configuration file reverted the profiles to every 6 hours (0, 6, 12, and 18 UTC). After 1 January a problem in the firmware caused the system to lose connection to the time-synching GPS network and therefore the clock drifted from January through June 2023 (the maximum potential time stamping error is likely &lt; 81 sec). Finally, from 23 March through 4 April 2023, the depth of the snow at the location of the sensor was deeper than 180 cm and thus measurements in the upper part of the snowpack were not observed then.</p><p>Jackson, K., J. Wilkinson, T. Maksym, D. Meldrum, J. Beckers, C. Haas, and D. Mackenzie (2013) A novel and low-cost sea ice mass balance buoy. Journal of Atmosphere and Oceanic Technology, 30(11), 2676-2688, https://doi.org/10.1175/JTECH-D-13-00058.1.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Backup for the Mapping DH instance on Wikibase Cloud – November 2024

<p>Backup for the Mapping DH instance on Wikibase Cloud &ndash; November 2024.&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Rates of Vertical Land Motion (VLM) on Tutuila (American Samoa) and Upolu (Samoa) (from 3 December 2015 to 16 April 2020 and from 28 April 2020 to 27 November 2023)

<p>Dataset associated with the resubmitted manuscript under revision "Spatiotemporal Patterns of Subsidence and Sea Level Rise in the Samoan Islands Nearly 15 Years after the 2009 Samoa-Tonga Earthquake" by S. A. Huang, J. M. Sauber, S.-C. Han, R. Ray, and E. J. Fielding.</p> <p>Average VLM rates are provided for Tutuila (American Samoa) and Upolu (Samoa) over two subsets:</p> <ol> <li>3 December 2015 to 16 April 2020</li> <li>28 April 2020 to 27 November 2023</li> </ol> <p>VLM rates were derived using the PS-InSAR technique described in the publication at https://doi.org/10.1109/LGRS.2024.3358737.&nbsp;</p> <p>The following files are included here:</p> <ul> <li>plot_ps_data_tutuila_upolu.m: Matlab script to visualize the data included in all the *.mat files (Figures 4 and 5 and the histograms in 8c and 9c without annotations). Requires Computer Vision Toolbox.</li> </ul> <p>Upolu:</p> <ul> <li>upolu_ampl.mat: Amplitude backscatter from Upolu averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1.</li> <li>latvals.mat: Latitude vector associated with both Upolu datasets.</li> <li>lonvals.mat: Longitude vector associated with both Upolu datasets.</li> <li>upolu_15-20_vlm.mat: Computed VLM rates across Upolu for the 2015-2020 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>upolu_15-20_vlm_uncert.mat: Uncertainty of VLM across Upolu for the 2015-2020 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>upolu_20-23_vlm.mat: Computed VLM rates across Upolu for the 2020-2023 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>upolu_20-23_vlm_uncert.mat: Uncertainty of VLM across Upolu for the 2020-2023 time period [mm/yr]. All non-PS have an "NaN" value.</li> </ul> <p>Tutuila:&nbsp;</p> <ul> <li>tutuila_ampl.mat: Amplitude backscatter from Tutuila averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1.</li> <li>tutuila_latvals.mat: Latitude vector associated with both Tutuila datasets.</li> <li>tutuila_lonvals.mat: Longitude vector associated with both Tutuila datasets.</li> <li>tutuila_15-20_vlm.mat: Computed VLM rates across Tutuila Island for the 2015-2020 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>tutuila_15-20_vlm_uncert.mat: Uncertainty of VLM across Tutuila Island for the 2015-2020 time period[mm/yr]. All non-PS have an "NaN" value.</li> <li>tutuila_20-23_vlm.mat: Computed VLM rates across Tutuila Island for the 2020-2023 time period [mm/yr]. All non-PS have an "NaN" value.</li> <li>tutuila_20-23_vlm_uncert.mat: Uncertainty of VLM across Tutuila Island for the 2020-2023 time period[mm/yr]. All non-PS have an "NaN" value.</li> </ul>

opencc-by-4.0May 2024View details →
zenodo32/100

Simulation of HLVK Configuration for O5 and O6 Observation Runs: Gravitational Wave Detection Rates, Skymaps, and Multimessenger Parameters (November 2024 edition)

<p>We conducted a simulation of the<strong> HLVK </strong>configuration for the upcoming O5 and O6 observing runs, estimating the expected gravitational wave (GW) detection rates based on a signal-to-noise (S/N) <strong>threshold of 10</strong>. This dataset includes skymap files and essential parameters for multimessenger studies. Additionally, a Python script is provided to facilitate the separation of BNS, BBH, and NSBH events based on mass, with a default recommendation of setting neutron star (NS) mass to &lt;3 solar masses and black hole (BH) mass to &ge;3 solar masses. Previous simulations for the O4 and O5 runs used an <strong>S/N of 8</strong> and can be found here: <a href="https://doi.org/10.5281/zenodo.7026209" target="_new" rel="noopener">https://doi.org/10.5281/zenodo.7026209</a>.&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Distribution. Most of mainland Australia, with the exception of Cape York and Nullarbor Plain; also Koolan, Tiwi, Kangaroo, King, and Tasmania Is, and old records from Norfolk I. There is also a record of a female captured in November 2010 from Lord Howe I, although this was probably a vagrant. in Vespertilionidae

Distribution. Most of mainland Australia, with the exception of Cape York and Nullarbor Plain; also Koolan, Tiwi, Kangaroo, King, and Tasmania Is, and old records from Norfolk I. There is also a record of a female captured in November 2010 from Lord Howe I, although this was probably a vagrant.

opennotspecifiedOct 2019View details →
zenodo32/100

NASKAH UJIAN TENGAH SEMESTER (UTS) AKUNTANSI KEUANGAN LANJUTAN 1_PRODI AKUNTANSI_12 NOVEMBER 2024_UNIVERSITAS GRESIK

<p><strong>Capaian Pembelajaran Mata kuliah (CPMK)</strong></p> <p>Untuk mengevaluasi atau mengukur kemampuan mahasiswa dalam penyerapan materi dari pertemuan 1 sampai pertemuan 7</p> <p><strong>Indikator Pencapaian</strong></p> <p>1 Tes Tulis</p> <p>2. Tes Lisan</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

UJIAN TENGAH SEMESTER (UTS) AKUNTANSI BIAYA_PRODI AKUNTANSI_11 NOVEMBER 2024_UNIVERSITAS GRESIK

<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Untuk mengevaluasi atau mengukur kemampuan mahasiswa dalam penyerapan materi mulai pertemuan pertama sampai pertemuan ke tujuh.</p> <p><strong>Indikator Pencapaian</strong></p> <p>1. Tes Tulis</p> <p>2. Tes Lisan</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

UJIAN TENGAH SEMESTER (UTS) AKUNTANSI BIAYA_PRODI MANAJEMEN_11 NOVEMBER 2024_UNIVERSITAS GRESIK

<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Untuk mengevaluasi atau mengukur kemampuan mahasiswa dalam penyerapan materi dari pertemuan pertama sampai dengan pertemuan ke tujuh</p> <p><strong>Indikator Pencapaian</strong></p> <p>1. Tes Tulis</p> <p>2. Tes Lisan</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Huntingtin Q23 with FLAG antibody Grafix in 0-1 percent Glutaraldehyde – 28th November 2017

<p>Huntingtin structure function open lab notebook</p>

opencc-by-4.0Nov 2017View details →
zenodo32/100

Full-length huntingtin Q54 and Q145 expression and purification – 29th November 2017

<p>Huntingtin structure-function open lab notebook</p>

opencc-by-4.0Nov 2017View details →
zenodo32/100

Full-length huntingtin Q23 expression and purification – 19th November 2017

<p>Huntingtin structure-function open lab notebook</p>

opencc-by-4.0Nov 2017View details →
zenodo32/100

Huntingtin Q23 +- DNA Grafix in 0-1 percent Glutaraldehyde – 24th November 2017

<p>Huntingtin structure-function&nbsp;open lab notebook project</p>

opencc-by-4.0Nov 2017View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: IDENTITY, days: 1, dates: 15 November 2023-05 December 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: IDENTITY, days: 7, dates: 15 November 2023-05 December 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 1, dates: 15 November 2023-05 December 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 7, dates: 15 November 2023-05 December 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 1, dates: 17 October 2023-08 November 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: IDENTITY, days: 1, dates: 17 October 2023-08 November 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: IDENTITY, days: 7, dates: 17 October 2023-08 November 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: fqdn, weighting: TTLBOUNDED, days: 7, dates: 17 October 2023-08 November 2023)

See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.

opencc-by-4.0Apr 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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