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14,253 results for “15”
handle_laying_15
This is the process of making a carafe Bontemps. The step depicted is called "handle_laying"(from the Mingei project).
Finition_15
This is the process of making a carafe Bontemps. The step depicted is called "Finition"(from the Mingei project).
beak_finishing_15
This is the process of making a carafe Bontemps. The step depicted is called "beak_finishing"(from the Mingei project).
Fundzeichnung Keramik Groß Zastrow 18 - Blatt 15
<p>Dateiname - Znr_15_1230.tif<br> Dateiformat - TIFF<br> Hardware - Scanner Flachbett Epson<br> Software - Adobe Photoshop CS3 Windows<br> Betriebssystem - Windows<br> Erstellungsdatum - 2012:01:31 09:46:15<br> Aktualisierung - 2018:12:30</p> <p>ImageWidth - 3509<br> ImageLength - 5100<br> BitsPerSample -<br> Compression - 1 (None)<br> PhotometricInterpretation - 1<br> StripOffset - 20698<br> Orientation - Top left<br> SamplesPerPixel - 1<br> RowsPerStrip - 5100<br> StripByteCount - 17895900<br> XResolution - 300.00<br> YResolution - 300.00<br> ResolutionUnit - Inch<br> ExifOffset - 17916600<br> InterColorProfile - 19786<br> ColorSpace - Uncalibrated/Unknown (-1)<br> ExifImageWidth - 3509<br> ExifImageHeight - 5100</p> <p><strong>Beschreibung: Fundzeichnungen</strong></p> <p>Keramikfunde der Ausgrabung des Siedlungsplatz Groß Zastrow 18/20 im Vorfeld des Baues der Autobahn A20 2002-2003.</p> <p>Das Blatt trägt die Nummer 15, auf dem Blatt sind einzelne Gegenstände mit fortlaufenden lateinischen Nummern bezeichnet (z.B. 15.I, 15.II). Die einzelnen tragen eine Nummer, die sich aus einem Teil der <strong>Inventarnummer</strong> (2002/<strong>1230,###</strong>) und einer fortlaufenden Nummer pro Inventarnummer zusammensetzt. Achtung! nur die Inventarnummer 2002/1230,### ist in die Grabungsdokumentation aufgenommen worden. Die fortlaufende Nummerierung 2002/1230,###<strong>.##</strong> ist nur während der Aufnahme intern angewandt worden.</p> <p>Die Zeichnungen wurden im Zuge der Auswertung der Grabung von A. Klammt angefertigt. Dazu wurde das Profil von Rand- und Bodenscherben mit Hilfe eines Profilkamms abgenommen. Öffnungsdurchmesser bzw. Durchmesser der Standfläche und die prozentuale Erhaltung (z.B. 50% der Mündung des Gefäßes) wurden mittels einer Polarkoordinatenscheibe bestimmt. Die Wandstärke der Scherben wurde mit einer Schieblehre abgenommen. Mehrheitlich wurde zudem die Aufsicht gezeichnet. Bei Bodenscherben wurden die Bodenzeichen gezeichnet.</p> <p>Die Zeichnungen sind auf Transparentpapier im Format DinA3 mit einem Bleistift (Minen 0,3, Stärke H) angefertigt worden. Das Blatt ist mit einem herkömmlichen Flachbettscanner sw-gescannt worden.</p> <p>Die Funde werden im Landesamt für Kultur und Denkmalpflege Mecklenburg-Vorpommern verwahrt.</p>
Videos, audio transcriptions and closed captions for the workshop: Introduction to Wikidata for Maastricht University, Theory and Pratice - 15 October 2024
<h1><strong>Videos, audio transcriptions and closed captions for the workshop: Introduction to Wikidata for Maastricht University, Theory and Pratice - 15 October 2024</strong></h1> <h3><a href="https://theplant.maastrichtuniversity.nl/event/navigating-the-world-of-wikidata-for-research-science-and-cultural-heritage-2"><em>Navigating the World of Wikidata for Research, Science and Cultural Heritage</em></a></h3> <h3><em><a href="https://www.wikidata.org/wiki/Wikidata:Twelfth_Birthday/Workshop_in_Maastricht" target="_blank" rel="noopener">Wikidata's Twelfth Birthday: Workshop in Maastricht </a></em></h3> <p>Wikidata is a free, collaborative, multilingual database, collecting structured open data for anyone in the world to use. It also plays a crucial role in supporting Wikimedia projects, such as Wikipedia and Wikimedia Commons. Over the last 12 years it has strongly increased in popularity among the scientific and cultural heritage communities.</p> <p>In this 2,5 hours workshop you will learn the basics of working with Wikidata, both in theory and practice. You will learn</p> <ol> <li>The basics of Wikidata: A first look at what Wikidata is and how it works, both technically and socially (Wikidata community)</li> <li>How Wikidata can be relevant for research, science and cultural heritage (GLAM), and</li> <li>First steps in contributing to Wikidata yourself, with a focus on the topic of UM professors from past and present.</li> </ol> <p>As part of the <a title="Wikidata:Twelfth Birthday" href="https://www.wikidata.org/wiki/Wikidata:Twelfth_Birthday">Wikidata 12th Birthday celebrations</a> this workshop is open to academics, researchers, students, and professionals interested in working with Wikidata in the intersection of open data, research, and science. Whether you are new to Wikidata or looking to deepen your understanding, this session will provide valuable insights for improving your work.</p> <h2><strong>Workshop outline</strong></h2> <h3><strong>Part 1: Theory, Wikidata basics (45-60 minutes) </strong></h3> <ul> <li><strong><a href="https://zenodo.org/records/13984149/files/Wikidata%20Workshop%20-%20Theoretical%20part%20-%20Maastricht%20University%20-%2015%20October%202024.webm" target="_blank" rel="noopener">Video</a> (.webm) including <a href="https://zenodo.org/records/13984149/files/WikidataWorkshop_MaastrichtUniversity_15October2024_TheoreticalPart.txt?download=1" target="_blank" rel="noopener">audio transcription </a>(.txt) and <a href="https://zenodo.org/records/13984149/files/Wikidata%20Workshop%20-%20Theoretical%20part%20-%20Maastricht%20University%20-%2015%20October%202024.webm.en.srt?download=1" target="_blank" rel="noopener">closed captions</a> (.srt) are available below</strong></li> </ul> <p><strong>Additional materials</strong></p> <ul> <li><strong>Slides in <a href="https://zenodo.org/records/13837957/files/WikidataWorkshop_MaastrichtUniversity_15October2024_TheoreticalPart.pptx?download=1" rel="nofollow">PowerPoint</a> or <a href="https://zenodo.org/records/13837957/files/Wikidata%20Workshop%20-%20Theoretical%20part%20-%20Maastricht%20University%20-%2015%20October%202024.pdf?download=1" rel="nofollow">PDF</a> are available from <a href="https://zenodo.org/records/13837957" target="_blank" rel="noopener">https://zenodo.org/records/13837957</a></strong></li> </ul> <p><em>1) Wikidata basics</em></p> <ul> <li>What is Wikidata?</li> <li>What are the principles of Wikidata?</li> <li>How are things described in Wikidata?</li> <li>Who builds Wikidata? - The Wikidata community</li> </ul> <p><em>2) Wikidata for research, science and cultural heritage</em></p> <ul> <li>To what extent is Wikidata used throughout science, research and GLAM?</li> <li>Six anecd<em>a</em>tic cases <ol> <li>Scientometrics - Scholia</li> <li>Life and biomedical sciences</li> <li>Astronomy</li> <li>Language technology / AI / LLMs</li> <li>GLAM – KB collection highlights</li> <li>Representation of (female) scientists</li> </ol> </li> </ul> <h3><strong>Break (15 minutes)</strong></h3> <h3><strong>Part 2: Practice, contributing to Wikidata (75-90 minutes) </strong></h3> <ul> <li><strong><a href="https://zenodo.org/records/13984149/files/Wikidata%20Workshop%20-%20Practical%20part,%20UM%20professors%20-%20Maastricht%20University%20-%2015%20October%202024.webm?download=1" target="_blank" rel="noopener">Video</a> (.webm) including <a href="https://zenodo.org/records/13984149/files/WikidataWorkshop_MaastrichtUniversity_15October2024_PracticalPart_UMprofessors.txt?download=1" target="_blank" rel="noopener">audio transcription </a>(.txt) and <a href="https://zenodo.org/records/13984149/files/Wikidata%20Workshop%20-%20Practical%20part,%20UM%20professors%20-%20Maastricht%20University%20-%2015%20October%202024.webm.en.srt?download=1" target="_blank" rel="noopener">closed captions</a> (.srt) are available below</strong></li> </ul> <p><strong>Additional materials</strong></p> <ul> <li><strong>Slides in <a href="https://zenodo.org/records/13837957/files/WikidataWorkshop_MaastrichtUniversity_15October2024_PracticalPart_UMprofessors.pptx?download=1" rel="nofollow">PowerPoint</a> or <a href="https://zenodo.org/records/13837957/files/Wikidata%20Workshop%20-%20Practical%20part,%20UM%20professors%20-%20Maastricht%20University%20-%2015%20October%202024.pdf?download=1" rel="nofollow">PDF</a> are available from <a href="https://zenodo.org/records/13837957" target="_blank" rel="noopener">https://zenodo.org/records/13837957</a></strong></li> <li><strong>Handout for participants in <a href="https://zenodo.org/records/13837957/files/WikidataWorkshop_MaastrichtUniversity_15October2024_PracticalPart_HandoutForParticipants.docx?download=1" rel="nofollow">Word</a> or <a href="https://zenodo.org/records/13837957/files/WikidataWorkshop_MaastrichtUniversity_15October2024_PracticalPart_HandoutForParticipants.pdf?download=1" rel="nofollow">PDF</a></strong> <strong>are available from <a href="https://zenodo.org/records/13837957" target="_blank" rel="noopener">https://zenodo.org/records/13837957</a></strong></li> </ul> <p><strong> </strong>The goals of this hands-on part are:</p> <ul> <li>Get familiar with basic data editing via the Wikidata interface</li> <li>Understand WD data models and structures related to professors (of Maastricht University)</li> <li>Extend existing <a title="Wikidata:Wiki-wetenschappers/Universiteit Maastricht/hoogleraren" href="https://www.wikidata.org/wiki/Wikidata:Wiki-wetenschappers/Universiteit_Maastricht/hoogleraren">Wikidata items about UM professors</a>, based on information in public sources.</li> <li>If time allows: Create new Wikidata items about UM professors</li> </ul> <p>The visual slides and the textual handout explain the same content, blocks and exercises, albeit in a slightly different order.<strong> </strong></p> <h2><strong>Required preparation</strong></h2> <p>To make optimal use of our time, participants must create a Wikidata account in the weeks before the workshop. See <a href="https://www.wikidata.org/w/index.php?title=Special:CreateAccount" target="_blank" rel="noopener">https://www.wikidata.org/w/index.php?title=Special:CreateAccount</a>.</p> <p>This is important because very fresh accounts may have limited editing rights. Furthermore only 6 Wikidata accounts can be created per day from UM IP addresses, so creating a lot of new accounts during the workshop might overstretch this limit.</p> <h2><strong>Workshop leader</strong></h2> <p>This workshop was given by <a href="https://www.kb.nl/over-ons/experts/olaf-janssen">Olaf Janssen</a>, the Wikimedia coordinator of the <a href="https://www.kb.nl/over-ons/experts/olaf-janssen">Koninklijke Bibliotheek</a>, the national library of the Netherlands.</p> <p>In this role he stimulates and facilitates collaboration between the collections, knowledge, open data and staff of the KB on the one hand, and the projects of the Wikimedia movement, such as Wikipedia, Wikimedia Commons and Wikidata on the other. He is also active as a volunteer within the community. Feel free to contact Olaf via olaf.janssen(at)<a href="http://kb.nl">kb.nl</a></p> <h2><strong>Materials on Wikimedia Commons</strong></h2> <p>Photos , videos and presentations related to this event can be found on Wikimedia Commons: <a title="c:Category:Wikidata Workshop at Maastricht University, 15 October 2024" href="https://commons.wikimedia.org/wiki/Category:Wikidata_Workshop_at_Maastricht_University,_15_October_2024">Category:Wikidata Workshop at Maastricht University, 15 October 2024</a></p> <h2>Relevant URLs </h2> <ul> <li><a href="https://www.wikidata.org/wiki/Wikidata:Twelfth_Birthday/Workshop_in_Maastricht">https://www.wikidata.org/wiki/Wikidata:Twelfth_Birthday/Workshop_in_Maastricht </a></li> <li><a href="https://theplant.maastrichtuniversity.nl/event/navigating-the-world-of-wikidata-for-research-science-and-cultural-heritage-2" target="_blank" rel="noopener">https://theplant.maastrichtuniversity.nl/event/navigating-the-world-of-wikidata-for-research-science-and-cultural-heritage-2</a> + <a href="https://web.archive.org/web/20240926154021/https://theplant.maastrichtuniversity.nl/event/navigating-the-world-of-wikidata-for-research-science-and-cultural-heritage-2/">archived version</a></li> <li><a href="https://www.linkedin.com/feed/update/urn:li:activity:7244614063102529536/">https://www.linkedin.com/feed/update/urn:li:activity:7244614063102529536/</a></li> <li><a href="https://www.linkedin.com/feed/update/urn:li:activity:7245329234385059843/" target="_blank" rel="noopener">https://www.linkedin.com/feed/update/urn:li:activity:7245329234385059843/</a></li> </ul> <p>Earlier LinkedIn posts (April-May 2024, before rescheduling the worlshop to October)</p> <ul> <li><a href="https://www.linkedin.com/feed/update/urn:li:activity:7188470390858428416/" target="_blank" rel="noopener">https://www.linkedin.com/feed/update/urn:li:activity:7188470390858428416/</a></li> <li><a href="https://www.linkedin.com/feed/update/urn:li:activity:7188180802021543936/" target="_blank" rel="noopener">https://www.linkedin.com/feed/update/urn:li:activity:7188180802021543936/</a></li> <li><a href="https://www.linkedin.com/feed/update/urn:li:activity:7189276985267826691/" target="_blank" rel="noopener">https://www.linkedin.com/feed/update/urn:li:activity:7189276985267826691/</a></li> </ul> <h3> </h3>
Japanese "Abe" Tweets from 2019-02-10 to 2020-10-07 (15,407,811 tweets and 114,231,250 retweets)
<p><strong>Abstract</strong> (our paper)</p> <p>To examine conservative–liberal differences in the extent to which partisan tweets reach less partisan moderate users in a nonwestern context, we analyzed a network of retweets about former Japanese Prime Minister Shinzo Abe. The analyses consistently demonstrated that partisan tweets originating from the conservative cluster reach a wider range of moderate users than those from the liberal cluster. Network analyses revealed that while the conservative and the liberal clusters’ internal structures were similar, the conservative cluster reciprocated the follows from moderate accounts at a higher rate than the liberal cluster. In addition, moderate accounts reciprocated the conservative cluster’s following at a higher rate than they did for the liberal cluster. The analysis of tweet content showed no difference in the frequency of hashtag use between conservatives and liberals, but there were differences in the use of emotion words and linguistic expressions. In particular, emotion words related to the propagation of messages, such as those expressing “dislike”, were used more frequently by conservatives, while the use of adjectives by conservatives was closer to that of moderate users, indicating that conservative tweets are more palatable for moderate users than liberal tweets.</p> <p><strong>Data</strong></p> <p>Abe.tsv.gz:<br> The first column is the tweet id, the second column is the tweet id of the retweet source, and the third column is the date and time (JST) when the tweet was posted.<br> This data was collected by giving the query "安倍 OR アベ" to the Twitter Search API. Therefore, most of the tweets are Japanese tweets. The second column is empty if the tweet is not a retweet.</p> <p><strong>Publication</strong></p> <p>This data set was created for our study. If you make use of this data set, please cite:<br> Mitsuo Yoshida, Takeshi Sakaki, Tetsuro Kobayashi, Fujio Toriumi. Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter. <em>Scientific Reports</em>. vol.11, article no.19224, 2021.<br> <a href="https://doi.org/10.1038/s41598-021-98349-2">https://doi.org/10.1038/s41598-021-98349-2</a></p>
Continuous Wave Analysis of the NANOGrav 15-Year Dataset
<p>This repository contains the data used in the analysis detailed within "<em>The NANOGrav 15-year Data Set: Bayesian Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries</em>" (DOI <a href="https://arxiv.org/abs/2306.16222">arXiv:2306.16222</a>). It also provides instruction on how one could reproduce those results on their own.</p> <ul> <li><code>jar</code> folder: contains pickled <code>enterprise</code> pulsar objects that contain each pulsar's TOA data and timing model information</li> <li><code>v1p1_all_dict.json</code>: dictionary with measured white noise and red noise parameters for each pulsar - used to fix white noise parameters when running QuickCW</li> <li><code>emp_dist_15yr_v1p1_bence_my_run_v4.3.pkl</code>: <code>enterprise_extension</code> <code>EmpiricalDistribution2D</code> objects for the amplitude and spectral index of each pulsar's red noise - used to make informed red noise proposals when running QuickCW</li> <li><code>pulsar_distances_15yr.pkl</code>: dictionary containing 3 element list for each pulsar specifying its distance [kpc], statistical error of distance [kpc], and method of distance measurement [PX for parallax or DM for dispersion measure]</li> <li><code>15yr_quickCW_detection.h5</code>: HDF5 file containing results from QuickCW detection runs (log uniform amplitude prior). Includes the following data: <ul> <li>MCMC samples (<code>samples_cold</code>)</li> <li>log likelihood values corresponding to those samples (<code>log_likelihood</code> )</li> <li>temperature ladder used for the parallel tempering (<code>Ts</code>)</li> <li>names of parameters corresponding to each column in the samples array (<code>par_names</code>)</li> <li>rate of different MCMC jumps being accepted (<code>acc_fraction</code>)</li> <li>diagonal fisher matrix used for some proposals (<code>fisher_diag</code>)</li> </ul> </li> <li><code>15yr_quickCW_UL.h5</code>: Same as <code>15yr_quickCW_detection.h5</code> but for upper limits based on runs with uniform amplitude prior.</li> <li><code>15yr_cw_3d_limits_v4.npz</code>: npz file containing limits as a function of frequency and sky location. Specifically it has the following arrays: <ul> <li><code>F_edges</code>: array specifying the edges of the frequency bins</li> <li><code>strain_limit_skies</code>: 2D array containing the strain upper limits as a function of frequency bin and sky pixel</li> <li><code>strain_limit_sky_sigmas</code>: 2D array containing 1-sigma statistical errors on the strain upper limits</li> <li><code>dist_limit_skies</code>: 2D array containing the luminosity distance limits in Mpc as a function of frequency bin and sky pixel</li> <li><code>dist_limit_sky_sigmas</code>: 2D array containing 1-sigma statistical errors on the distance limits in Mpc</li> </ul> </li> </ul>
Digital Elevation Models of Hunga Volcano; pre- and post- 15 January 2022 eruption
<p>This dataset contains digital elevation models (DEM) of the Hunga Volcano complex. The first is a pre-2022 eruption elevation model. The second is a post-2022 eruption elevation model.</p><p>Hunga Volcano is a volcanic complex near the island of Tongatapu in the Kingdom of Tonga. The volcano rises from ~2,500 m depth, a caldera at its summit, and two islands, Hunga Tonga and Hunga-Ha'apai, at the on the rim of the caldera. An eruption during December 2014-January 2015 was centered between the islands and combined them into one larger structure named Hunga Tonga – Hunga Ha'apai (HTHH). HTHH erupted violently on 15th January 2022, sending large clouds of ash into the atmosphere, triggering a tsunami, and reducing the size of the islands of Hunga Tonga and Hunga Ha'apai.</p><p>As a result of this event, the NIWA-Nippon Foundation Tonga Eruption Seabed Mapping Project (TESMaP) is a multidisciplinary research plan involving geological, oceanographic and biological studies that centered around three objectives:</p><ol><li>To determine the impacts of volcanic ash on ocean productivity, species composition, and biogeochemical cycling in the water column.</li><li>To determine the immediate nature and extent of the impact of ash fall/turbidity flows on deep-sea sediments and benthic ecosystems.</li><li>To determine the recovery potential of the deep-sea ecosystem.</li></ol><p>This project involved two survey voyages of the volcano and its surrounding waters. The first was carried out from <i>RV Tangaroa</i> in April and May 2022 (Mackay et al., 2022) and the second was carried out by the <i>USV Maxlimer</i> in August 2022.</p><p>TESMaP was funded from a combination of sources including The Nippon Foundation, Japan; the Natural Environmental Research Council, UK, Japan Agency for Marine Earth Science and Technology, the Tangaroa Reference Group (TRG) for ship time and the NIWA Oceans Centre. Support was given by The Nippon Foundation Seabed 2030 project and by GEBCO Alumni.</p>
The NANOGrav 15-Year Data Set
<pre><strong>The NANOGrav 15-Year Data Set Public release "v2.1.0" 2025/07/17</strong> <strong>OVERVIEW</strong> -------- This file contains "narrowband" and "wideband" TOAs and timing solutions for the NANOGrav 15-year data set, covering data taken from 2004 to mid-2020 using Arecibo, the Green Bank Telescope (GBT), and the Very Large Array (VLA) with ASP/GASP and PUPPI/GUPPI/YUPPI backend instrumentation. The observations, data reduction, and analysis procedures used to produce these data are described in detail in the accompanying paper, "The NANOGrav 15-year Data Set: Observations and Timing of 68 Millisecond Pulsars" (Agazie et al., 2023, ApJL 951 L9, DOI 10.3847/2041-8213/acda9a, arXiv:2306.16217).<br> This release is available at Zenodo (DOI 10.5281/zenodo.16051178).<br>You can also reference all versions (DOI 10.5281/zenodo.7967584). All *.par and *.tim files are ASCII and are formatted for use with standard pulsar timing packages such as tempo2 and PINT, except for profile template files which are FITS format (narrowband) or python pickle files (wideband).<br><br> For our narrowband results, we have included ASCII space-separated <br>tables of our post-fit timing model residuals for all of our pulsars <br>(both un-whitened and whitened). These are available as both full <br>and epoch-averaged formats. Correlation matrix files are available in three formats (*.txt, *.npz, and *.hdf5). See "description.txt" in both the narrowband and wideband ./correlations subdirectories for more details about these files. Questions about the contents of this data set can be addressed to Joe Swiggum (swiggumj@gmail.com) or comments@nanograv.org. <strong>DIRECTORY AND FILE STRUCTURE (FURTHER DETAILS BELOW)</strong> --------------------------------------------------- ./README This file. ./clock Files for tracing observatory-measured TOAs to clock standards. ./narrowband Directory containing the narrowband data set. Details are provided in README.narrowband in that directory. ./wideband Directory containing the wideband data set. Details are provided in README.wideband in that directory. ./correlations Directory containing the correlation matrix files for both the narrowband and wideband data. Details are provided in the /wideband/ and /narrowband/ subdirectories' description.txt files. <strong>SOFTWARE</strong> -------- This data set requires up-to-date installations of PINT or tempo2. Our original analysis used PINT v0.9.1 and tempo2 v2022.01.1. Up to date versions of these packages, as well as usage information and documentation can be found at the following repositories: PINT https://github.com/nanograv/PINT tempo2 https://bitbucket.org/psrsoft/tempo2 Note that we do not guarantee complete/correct functionality of these timing models in the older original tempo software package. Please also ensure that the clock files you are using cover the full range of the data set. Using the provided clock files (see below) will ensure this. All models included here are based on a generalized least squares (GLS) fit that includes a noise model with covariance between TOAs (ECORR/jitter parameters, if narrowband; RNAMP/RNIDX red noise parameters, if significant), as well as "traditional" EQUAD and EFAC parameters. Additional EFAC parameters for the wideband DM measurements are also included. All noise model parameters are included in the par files. <strong>CLOCK FILES</strong> ----------- The clock files used for our analysis are provided in the clock/ subdirectory. While the standard files distributed with tempo and tempo2 should be consistent with the clock files provided in the current release at the time of writing, this may be a source of inconsistent results in the future. Please see ./clock/README.clock directory for installation instructions. <strong>PLANNED REVISIONS</strong> ----------------- The initial release of the data set contained all fundamental data<br>products needed for pulsar timing analysis: Times of arrival (.tim<br>files), timing models (.par files), standard template profiles,<br>clock correction files, and noise modeling MCMC chains. In v2,<br>parameter correlation matrices were added, as well as alternate versions<br>of timing model parameter files ("NoRedNoise" and "predictive"). In v2.1, <br>post-fit timing residuals for our narrowband data set were made available. <br>A future release will add a number of other useful derived products as <br>mentioned in the paper, including dispersion measure time series. <strong>CHANGE LOG</strong> ----------<br>2025/07/17<br> Addition of the Timing Model Residual files for the <br> narrowband dataset, including overview plots (v2.1.0). 2023/09/19 Addition of "NoRedNoise" and "predictive" par files, correlation matrices, noise modeling chains (v2). 2023/07/01 Correction to tar.gz directory structure (v1.0.1). 2023/06/28 Initial public release (v1).</pre>
Sacramento-San Joaquin Bay-Delta Continuous (15 Minute) water quality monitoring data collected by the Continuous Environmental Monitoring Program, DWR, 2005- ongoing.
The Continuous Environmental Monitoring Program (CEMP) plays an instrumental role in overseeing real-time water quality in the Sacramento-San Joaquin Delta (the Delta) and Suisun Bay. The program harnesses wireless telemetry to transmit crucial data to the California Data Exchange Center (CDEC), making high-resolution environmental data pertaining to the Delta and Suisun Bay publicly accessible. The extensive dataset captures information at 15-minute intervals from 15 monitoring stations, utilizing YSI 6600 and YSI EXO sondes to obtain standalone water quality measurements. This extensive dataset informs the operations of the California State Water Project, ensuring it adheres to mandated water quality standards set by Water Right Decision 1641. This data compilation incorporates all information since the transition to YSI multiparameter sondes in 2005. It is important to note that the commencement dates and subsequent upgrades vary between stations, leading to slight discrepancies in the dataset's date ranges. Since its inception in the mid-1980s, CEMP has progressively expanded its monitoring capabilities, consistently augmenting the number of monitoring locations and the array of water quality parameters assessed. Its commitment to utilizing the most advanced water quality monitoring technology reaffirms its position as an environmental monitoring leader in the Delta and Suisun Bay. Today, the program oversees 15 water quality stations that reliably capture data every 15 minutes, each day of the year, transmitting this data in real-time. The core tenents of CEMP: • to obtain consistent and accurate data in real-time at established monitoring stations • to provide data necessary to achieve compliance with salinity, flow, and dissolved oxygen standards • to perform data analyses for further understanding of estuarine ecology • to report information to other government agencies, as well as the public, for the purpose of management and conservation of the upper San F
Groundwater well pressure, temperature, conductance, salinity and oxygen measurements for GCE-LTER study hammock PC_i_29 from 15-Aug-2008 to 13-Dec-2013
Groundwater pressure, temperature and other parameters (e.g. conductance, salinity, oxygen and pH) were measured using various instruments installed in PVC wells at the GCE-LTER PC_i_29 pleistocene study hammock from 15-Aug-2008 to 13-Dec-2013. Observations were logged continuously at 15 minute intervals, and accumulated data were downloaded from loggers using manufacturer-provided communications software semi-monthly, then imported into MATLAB for post-processing, quality control and documention. Raw, unvented pressure readings were corrected for atmospheric pressure and sensor height from the bottom of the well to generate corrected pressure readings. Separate data tables are provided for each combination of instrument and well due to differences in parameters measured and post-processing steps, but all tables include detailed information on location and well characteristics to support integration and analysis. These data were collected as part of the Georgia Coastal Ecosystems LTER Intensive Hammock Characterization and Hammock Groundwater Modeling projects, and will be used for groundwater modeling studies at two marsh hammocks on Sapelo Island, Georgia.
High frequency sediment surface temperature measurements at GCE-LTER study hammock PC_i_29 from 15-Aug-2008 to 24-Sep-2012
Sediment surface temperature was recorded at 5 minute intervals adjacent to 7 groundwater wells installed at the GCE-LTER study hammock PC_i_29 on Sapelo Island, Georgia, from 15-Aug-2008 to 24-Sep-2012. Temperature was measured using Onset Hobo Tidbit temperature loggers that were placed onto the surface of the sediment in shallow PVC enclosures to protect against solar radiation. Data were downloaded from the logger and processed using the manufacturer's software, then imported into MATLAB for post-processing, quality control and documention. Individual data tables were created for each location to minimize file size for analysis, but complete location and deployment information are included in each table to facilitate integration. These data were collected as part of the Georgia Coastal Ecosystems LTER Intensive Hammock Characterization project to illucidate the timing of marsh inundation, and will be used for groundwater modeling studies at two marsh hammocks on Sapelo Island, Georgia.
Hubbard Brook Experimental Forest: 15 Minute Barometric Pressure Measurements, 2018 – present
Barometric pressure has been measured at 15-minute intervals at the Headquarters Station at the Hubbard Brook Experimental Forest since 2018. These data are gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Plant phenology observations at 15 sites at Jornada Basin LTER, 1992-ongoing
This ongoing data package, which began in 1992, contains monthly plant phenological observations by species at the 15 Net Primary Production (NPP) study sites at the Jornada Experimental Range (JER) or Chihuahuan Desert Rangeland Research Center (CDRRC) in Dona Ana County, New Mexico, USA. Sites were selected to represent the 5 major ecosystem types in the Chihuahuan Desert (upland grasslands, playa grasslands, mesquite-dominated shrublands, creosotebush-dominated shrublands, tarbush-dominated shrublands). For each ecosystem type, three sites were selected to represent the range in variability in production and plant diversity; thus the locations are not replicates. A transect at each site is monitored monthly to assess the following phenological stages for each species: dormancy, non-reproductive status, budding, flowering, and fruiting. Sampling methods in the first years of the study monitored all plant species present but have been changed to focus on specific species at each site.
Gap-filled daily precipitation at the 15 long-term NPP sites at Jornada Basin LTER, 1980-ongoing
This package contains gap-filled daily precipitation values for the 15 NPP sites at Jornada Basin LTER in southern New Mexico, USA. Sites were selected to represent the 5 major ecosystem types in the Chihuahuan Desert (upland grasslands, playa grasslands, mesquite-dominated shrublands, creosotebush-dominated shrublands, tarbush-dominated shrublands). For each ecosystem type, three sites were selected to represent the range in variability in production and plant diversity; thus the locations are not replicates. Gap-filled daily precipitation was calculated for the period from 1980 to 2020 at each site using the closest rain gauges that provided a minimum resolution of daily precipitation data. The Methods section and attached documents describe this process in detail. The rain gauges used are described, with respect to their relationship to NPP sites, in the attached "daily_gapfill_ppt_gauge_usage.csv" file. Although automated weather stations became operational at all NPP sites in 2013 (except P-SMAL, in 2017), updates to this data package are ongoing and are intended to gap-fill any missing or invalid data from the weather stations.
Shrimp populations in Quebrada Prieta (Pools 0, 8, 9, 15) (El Verde)
Freshwater shrimp from the Quebrada Prieta (a tributary to the Sonadora in the Espiritu Santu drainage, have been censused 6 times yearly since 1988. Atya lanipes, Xiphocaris elongata and Macrobrachium spp. are regularly captured and comprise the species in this dataset. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
PIE LTER, Year 2018, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
Year 2018, 15 minute measurements of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club, Ipswich, MA.
PIE LTER Year 2017, 15 minute measurements of conductivity, water temperature at the Ipswich River head of tide, Sylvania Dam in Ipswich, MA.
Year 2017, continuous measurements, every 15 minutes were made of conductivity, water temperature in the Ipswich River behind the head of tide Sylvania Dam in Ipswich, MA. The datalogger was retrieved in August, 2017 and returned to Dr. Green.
PIE LTER year 2016, 15 minute measurements of specific conductance, water temperature in a small headwater stream draining a highly suburban catchment (72% residential), Saw Mill Brook, Burlington, MA.
Year 2016, continuous measurements, every 15 minutes were made of conductivity, water temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential) in the Ipswich River watershed. Due to sedimentation within the datalogger housing, there are periods when the datalogger lost hydrological connection with the stream (i.e., during low flow). As such, data has been flagged to remove these erroneous readings.
Measurements of tidal creek discharge measurements during tidal creek lateral exchange measurements approximately every 15 minutes from beginning of flood tide to the following low tide, Rowley, MA, PIE LTER.
Measurement of the volume of water during lateral exchange measurements in tidal creek systems draining predominantly low-elevation marsh dominated by Spartina alterniflora (LM1 and LM2) and high-elevation marsh dominated by Spartina patens (West, Nelson, HM1). Creeks are located in Rowley, MA, PIE LTER.
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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.
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.