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361 results for “January”
PERTEMUAN 14_02 JANUARY_SISTEM PENGENDALIAN MANAJEMEN ORGANISASI JASA_STIESIA SURABAYA_JAM 6.30-9.00
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Mahasiswa mampu memahami Sistem Pengendalian Manajemen untuk Organisasi Jasa</p> <p><strong>Indikator</strong><strong> </strong><strong>Pembelajaran Sistem</strong><strong> </strong><strong>Pengendalian</strong><strong> </strong><strong>Manajemen untuk Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong></p> <p>1.<strong>Definisi</strong><strong> </strong><strong>Sistem</strong><strong> </strong><strong>Pengendalian</strong><strong> </strong><strong>Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong></p> <p>2.<strong>Organisasi</strong><strong> </strong><strong>Jasa</strong></p> <p>3.<strong>Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong><strong>Profesional</strong></p>
Template matching earthquake catalog from the 1st of January 2009 to the onset of the 2016 Central Italy sequence (24th of August 2016)
<p>Earthquake catalog obtained using the template matching technique from the 1<sup>st</sup> of January 2009 to the onset of the 2016 Central Italy sequence (24<sup>th</sup> of August 2016): it corresponds to a list of earthquake locations with magnitude estimation; the average cross correlation, the threshold, the associated template and the number of channels above the cross correlation threshold are indicated as well. Other details in Sugan et al., 2023.</p> <p>Sugan, M., Campanella, S., Chiaraluce, L., Michele, M., & Vuan, A. (2023). The unlocking process leading to the 2016 Central Italy seismic sequence. Geophysical Research Letters, 50, e2022GL101838. https://doi.org/10.1029/2022GL101838.</p>
PERTEMUAN 14_12 JANUARY 2023_Pengertian PPh Pasal 25, menghitung dan mengkreditkan pph pasal 25_UNIVERSITAS WIJAYA PUTRA_WIYUNG_JAM 8.00-9.30
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Mahasiswa Mampu menjelaskan pengertian PPh Pasal 25, menghitung dan mengkreditkan pph pasal 25</p> <p><strong>Indikator Pembelajaran</strong></p> <p>1. Pengertian PPh Pasal 25</p> <p>2. Teknis Penghitungan PPh Pasal 25:</p> <p>· Secara Umum;</p> <p>· Untuk WP Baru</p>
Taiwan electricity generation and demand data, 2017 January - 2022 July
<p>This is Taiwan's electricity generation/demand data from 2017 January to 2022 July, in 10-min resolution.</p> <p>Two files are included so far:</p> <ul> <li>loadarea: the electricity demand in four areas (i.e. north, central, south, east) in Taiwan. The information of the area can be found on <a href="https://www.taipower.com.tw/en/page.aspx?mid=4487&cid=2876&cchk=2c550ab4-907c-45df-822d-f35b4d2c63d0">Taipower's web page</a>.</li> <li>powerRatio: the power of each type of electricity generation. The data include both the generation from Taipower company and IPP (independent power plant); 'lng' is refer to gas power plant.</li> </ul> <p><strong>Source</strong>:</p> <ul> <li>the original data can be obtained from the Taiwanese government's open-data platform data.gov.tw.</li> <li>The link to the corresponding dataset is <a href="https://data.gov.tw/dataset/37331">https://data.gov.tw/dataset/37331</a>. (please note this link can only download 3 months of data that be collected a half year ago)</li> <li>live data can be obtained here (update very 10 min) <a href="https://data.gov.tw/dataset/8931">https://data.gov.tw/dataset/8931</a> with Chinese characters</li> <li>More information can be found on the Taipower webpage of <a href="https://www.taipower.com.tw/en/pageList.aspx">Information Disclosure</a>.</li> </ul> <p><strong>License:</strong></p> <ul> <li><a href="https://data.gov.tw/license">Open Government Data License, version 1.0</a> (Taiwan)</li> </ul>
Press, Temperature and Humidity January 2013
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Rain and Hail intensity. January 2013
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Rain and Hail intensity. January 2013
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Rain and Hail intensity. January 2013
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Rain and Hail intensity. January 2013
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Press, Temperature and Humidity January 2013
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Press, Temperature and Humidity January 2013
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Press, Temperature and Humidity January 2013
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Data from: "NGS based generation of expressed sequence tags for Lymantria dispar and Lymantria monacha, two closely related lepidopteran species with different responses to parasitism by Glyptapanteles liparidis" in Genomic Resources Notes accepted 1 December 2013 to 31 January 2014
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Data from: "454 sequencing of reduced representation libraries to discover single nucleotide polymorphisms (SNPs) in Megabunus harvestmen" in Genomic Resources Notes accepted 1 December 2013 to 31 January 2014
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Data from: "Transcriptome sequencing of the Queensland fruit fly, Bactrocera tryoni (Diptera: Tephritidae)" in Genomic Resources Notes accepted 1 December 2013 to 31 January 2014
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MASTER: Instrument validation, California, January, 1999
This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during a single flight aboard a DOE B-200 aircraft over California, U.S., on 1999-01-17. A primary objective of this deployment was instrument validation. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory (RSL) located at Nellis Air Force Base near Las Vegas, Nevada. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 20-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
Video S.M. 1 from Coastal Impacts of Storm Gloria (January 2020) over the Northwestern Mediterranean
<p>Animation of the simulated period. The first panel shows the atmospheric forcing (wind speed in colours and black arrows; surface atmospheric pressure in black isolines), the second the total simulated surge, and the third panel shows the wind waves.</p>
Data from January 2020 SERDP - OSU Smoldering Emissions Lab Experiment
<p>The dataset <strong><em>Data from January 2020 SERDP - OSU Smoldering Emissions Lab Experiment</em></strong>, DOI 10.5281/zenodo.5601977, published on Oct 28, 2021, was found to contain errors associated with an emission sampling artifact. The dataset has been supplanted by the dataset <strong><em>Pollutant emission factors data for smoldering conifer forest duff from Oregon</em></strong>, DOI 10.2737/RDS-2025-0046, which corrects for the sampling artifacts:</p> <p>Urbanski, Shawn P.; Kay, Shannon L.; Baker, Stephen P.; Lincoln, Emily N.; Ross, Andrew A.; Blunck, David L. 2025. Pollutant emission factors data for smoldering conifer forest duff from Oregon. Fort Collins, CO: Forest Service Research Data Archive. <a href="https://doi.org/10.2737/RDS-2025-0046">https://doi.org/10.2737/RDS-2025-0046</a></p> <p>Details of the errors in the original dataset (DOI 0.5281/zenodo.5636928) and their correction in the revised dataset (DOI 10.2737/RDS-2025-0046) are provided in:</p> <p>Urbanski, Shawn P.; Kay, Shannon; Baker, Stephen P.; Lincoln, Emily N.; Ross, Andrew A.; Blunck, David. 2024. <em>Pollutant emission factors for smoldering conifer forest duff</em>. Gen. Tech. Rep. RMRS-GTR-444. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 45 p. <a href="https://doi.org/10.2737/RMRS-GTR-444">https://doi.org/10.2737/RMRS-GTR-444</a>.</p> <p> </p>
CESM2(WACCM6) Earth system prediction framework forecast output for "Limited surface impacts of the January 2021 sudden stratospheric warming"
<p>Included in this repository is CESM2(WACCM6) Earth system prediction framework forecast output necessary to replicate the results of "Delayed surface impacts of the January 2021 sudden stratospheric warming".</p> <p>Standard forecast output is formatted as "ssfcst_ddMMM", where ddMMM is either 04jan or 08feb.</p> <p>Forecasts initialized January 4th, 2021 with scrambled initial conditions are formatted as: "15to20kmRampBot_", for scrambled tropospheric initial conditions; "9to12kmRamp_" for scrambled stratospheric initial conditions; and "2017noSSW_" for scrambled atmospheric initial conditions started from a January 2017 atmospheric restart.</p> <p>The forecast initialized February 8th, 2021 with scrambled tropospheric initial conditions is formatted "15to20kmRampBot_update_".</p> <p>Forecasts initialized February 1st and 8th, 2021, with scrambled stratospheric initial conditions are formatted "9to12kmRamp_updated_".</p> <p>All files contain relevant dimensions. "mXX", where XX is between 0 and 20, denotes the forecast member. Geopotential height is in the "Z3" files, surface temperature is in the "tas" files, and zonal mean zonal wind and tropopause pressure are in the "h2" files.</p>
Tree phenology from Lanjak Entimau Wildlife Sanctuary (Sarawak, Malaysia) October 2016-January 2020
<p>Community-managed forests (CF) bordering protected areas are critical to conservation in Borneo. Iban-managed CF retain tree species characteristic of primary forests within <em>pulau</em>, remnant old growth forests conserved for harvesting forest products. However, the selective felling of large trees, and proximity to surrounding <em>mixed-use mosaic</em> habitat, likely influence <em>pulau </em>structure and composition. Tropical Asian forests exhibit supra-annual mast fruiting (3-7 yrs) and extended periods of fruit scarcity, but fruit trees encouraged and planted by communities, in <em>mixed-use mosaic</em> bordering<em> pulau</em>, may benefit wildlife during periods of food scarcity.</p> <p>This data was used to investigate the seasonal availability of foods (fruits and seeds) important to wildlife within protected forest (predominately primary mixed-dipterocarp forest) and community-managed Iban <em>pulau</em> (selectively logged primary forest remnants) at the boundary of the Lanjak Entimau Wildlife Sanctuary (LEWS), in Sarawak, Malaysia (Borneo). We documented the presence of fruits and seeds, comparing relative composition and fruiting activity between forests, using bimonthly phenology surveys across 50 locations (October 2016-2019). We also documented fruit presence along walking transects within LEWS and the <em>mixed-use mosaic</em> bordering <em>pulau</em> within Iban territories.</p>
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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.