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361 results for “January”
7 januari stemming
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652523885.319.jpg">https://4dcity.org/imgupload/1652523885.319.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F1270911%2F7_januari_stemming_%25280_42%2529.png&type=VIDEO">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F1270911%2F7_januari_stemming_%25280_42%2529.png&type=VIDEO</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652523885.319.jpg<br>Image Dimensions: 360x288<br>Megapixels: 0.10 MP<br>Filesize: 90.44 KB<br>
Daily Averaged M-Transform output - January_2014_2015_2016
<p>This ".zip" file contains phase-velocity spectra of atmospheric gravity waves (AGWs) with horizontal wavelength 0 - 100 km and time period 5 - 60 minutes for January 2014, 2015, and 2016. These were obatained by applying Matsuda-Transform to OH (3,1) band intensity maps from Advance Temperature Mapper at ALOMAR, Norway. These are "numpy" files and can be read using "numpy" library of Python. Dimension of each file is (300, 300) corresponding to AGW phase speeds between 0 to 150 m/s. </p>
Sculpt January 2018 - 20 Memorial -- lionsgate
The oldest monumental plastic in Europe shows two lions and was built in the 13. century BC. According to antique sources the builder was the mythical king Atreus. The imposing gate of the citadel with the representation of the lionesses or lions was an emblem of the Mycenaean kings and a symbol of their power to both subjects and foreigners. The model was made for SculptJanuary2018. Source: Objaverse 1.0 / Sketchfab
PLoS One Dodder Data January 2013
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COSMOS Photometry Catalog January 2006
COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.This is an I band selected multi-color catalog for 2 square degrees centered on the COSMOS field at 10:00:28.6, +02:12:21. A detailed description of the catalog is given in Capak et. al. (2007) and it is recomended that you read this paper before using the catalog.
High contaminant loads in Lake Apopka mesocosms affect the ovarian transcriptome in largemouth bass [January]
GEO Series GSE38773. Micropterus salmoides. 12 samples. Type: Expression profiling by array.
Clinical Dataset for Risk Factors for Overall Survival in Hospitalized Adults Receiving Total Parenteral Nutrition: A Retrospective Cohort Study at a Social Security Hospital in Peru: January 2022 – June 2023
<p>This Excel dataset contains de-identified clinical data collected over a two-year period, aimed at evaluating risk factors associated with 90-day mortality in hospitalized patients receiving total parenteral nutrition (TPN). The dataset includes variables such as age, sex, clinical diagnosis, comorbidities, days in the ICU, days receiving TPN, laboratory values (lymphocytes, platelets, TGP), and the presence of acute kidney injury (AKI) or chronic kidney disease (CKD).</p> <p>The data is structured in rows, with each row representing an individual patient, and columns corresponding to the various clinical and laboratory parameters. It was used to perform survival analysis using Cox proportional hazards models and other statistical techniques. Sensitive information has been removed to ensure patient confidentiality.</p> <p>Access to the dataset is restricted, and permission must be requested for its use in further research.</p> <p><strong>File format:</strong> Excel (.xlsx)<br><strong>Keywords:</strong> Total Parenteral Nutrition, 90-Day Mortality, Risk Factors, Clinical Dataset, Cox Regression</p>
Time series data and codes from: Quantifying links between social media and the duration and escalation of violence during January 6th US Capitol insurrection
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AIS data prepared by Statsat AS for January 2020
<p>AIS data prepared and provided by Statsat AS (Norway) in the framework of the T-SAR project (<em>IKTPLUSS programme on reducing digital vulnerabilities, </em><strong>10 MNOK from the Research Council of Norway, Norway</strong>).</p> <p>The dataset contains AIS data (satellite + other) on a global coverage for 2020. There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day.</p> <p> </p> <p>The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020.</p> <p>The csv files have one header line:</p> <p>mmsi;lon;lat;date_time_utc;sog;cog;true_heading;nav_status;rot;message_nr;source</p> <p>where:</p> <table> <tbody> <tr> <td><strong>mmsi</strong></td> <td>integer</td> <td>MMSI number of the vessel (AIS identifier). All records belonging to the same vessel will have the same identifier.</td> </tr> <tr> <td><strong>lon</strong></td> <td>float</td> <td>Geographical longitude (WGS84) between -180 to 180</td> </tr> <tr> <td><strong>lat</strong></td> <td>float</td> <td>Geographical latitude (WGS84) between -90 to 90</td> </tr> <tr> <td><strong>date_time_utc</strong></td> <td>datetime</td> <td>Date and Time (in UTC) when position was recorded by AIS. It is represented as: YYYY-MM-DD HH:MM:SS (for instance 2020-01-01 00:00:00).</td> </tr> <tr> <td><strong>sog</strong></td> <td>float</td> <td>Speed over ground (knots)</td> </tr> <tr> <td><strong>cog</strong></td> <td>float</td> <td>Course over ground (degrees)</td> </tr> <tr> <td><strong>true_heading</strong></td> <td>integer</td> <td>Heading (degrees) of the vessel's hull. A value of 511 indicates there is no heading data.</td> </tr> <tr> <td><strong>nav_status</strong></td> <td>integer</td> <td>Navigation status according to <strong><a href="https://api.vtexplorer.com/docs/ref-navstat.html">AIS Specification</a></strong></td> </tr> <tr> <td><strong>rot</strong></td> <td>integer</td> <td>rate of turn</td> </tr> <tr> <td><strong>message_nr</strong></td> <td>integer</td> <td>message number</td> </tr> <tr> <td><strong>source</strong></td> <td>integer</td> <td>source is the source of AIS data ('g' for ground or 's' for satellite).</td> </tr> </tbody> </table> <p>One row in the CSV file corresponds to one message.</p>
Global CMT Catalog from January 01, 1976 until December 31, 2022
<p>Global CMT catalog providing focal mechanisms for earthquakes from January 01, 1976 until December 31, 2022, used in the paper "Influence of Earthquake Faulting Type on Polarity of Non-Double-Couple Components" submitted to Seismica</p>
#BLKTwitterstorians January 2018 Chat
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Continuous passive seismic data recorded at the Larderello-Travale geothermal field (June 2017-January 2018)
<p>The compressed files contain the continuous data (in mseed format) recorded from 23 June 2017 to 21 January 2018 by 8 temporary stations installed in the Larderello-Travale geothermal field (Lago Boracifero area). VN.dseed is a dataless SEED containing the metadata about the instruments.</p>
HRIT SEVIRI data 12:30 UTC, January 28, 2017
<p>HRIT Meteosat-10 SEVIRI data received at SMHI 12:30 UTC, January 28, 2017. Full disk.</p> <p>Copyright EUMETSAT</p>
Supplementary database January - June 2023
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GPS fixes for foraging Southern Giant Petrels (Macronectes giganteus) breeding in Nelson Island, Maritime Antarctic Peninsula (December 2019-January 2020)
<p>In the ZIP file there are two files.</p> <p>One is a .csv with GPS fixes processed using the adehabitatLT to identify events of low speed and high turn movements categorized as foraging. Points within a 250m radius from the breeding colony were excluded, and foraging trips were estimated based on the moment the animals crossed such a radius. Each foraging point was classified as being on land, within 5kms of coastline or on pelagic waters, and on different levels of Sea Ice Cover (from Bremen Sea Ice Remote Sensing data browser https://seaice.uni-bremen.de/databrowser/, Spreen, G., L. Kaleschke, and G.Heygster (2008), Sea ice remote sensing using AMSR-E 89 GHz channels J. Geophys. Res.,vol. 113, C02S03, <a href="http://dx.doi.org/10.1029/2005JC003384">doi:10.1029/2005JC003384</a>).</p> <p>Second file is a R Script with details of the methods for processing the data.</p> <p>Two types of devices were used: Kite-M (Ecotone, NAV individuals) and Axy Trek Marine (Techno SmArt, HP individuals) configurated to collect points each 5 and 10 minutes, respectively.</p> <p>Funded by Fondecyt Iniciación (111 801 75) and Programa Áreas Marinas Protegidas del Instituto Antártico Chileno (24 03 052).</p>
TweetsCOV19 - A Semantically Annotated Corpus of Tweets About the COVID-19 Pandemic (Part 4, January 2021 - August 2022)
<p><strong><a href="https://data.gesis.org/tweetscov19/">TweetsCOV19</a></strong><strong> </strong>is a semantically annotated corpus of Tweets about the COVID-19 pandemic. It is a subset of <a href="https://data.gesis.org/tweetskb">TweetsKB</a> and aims at capturing online discourse about various aspects of the pandemic and its societal impact. <strong>Metadata</strong> information about the tweets as well as extracted <strong>entities</strong>, <strong>sentiments</strong>, <strong>hashtags</strong>, <strong>user mentions</strong>, and <strong>resolved URLs </strong>are exposed in RDF using established RDF/S vocabularies*.</p> <p>We also provide a <em><strong>tab-separated values (tsv)</strong></em> version of the dataset. Each line contains features of a tweet instance. Features are separated by tab character ("\t"). The following list indicate the feature indices:</p> <ol> <li>Tweet Id: Long.</li> <li>Username: String. Encrypted for privacy issues*.</li> <li>Timestamp: Format ( "EEE MMM dd HH:mm:ss Z yyyy" ).</li> <li>#Followers: Integer.</li> <li>#Friends: Integer.</li> <li>#Retweets: Integer.</li> <li>#Favorites: Integer.</li> <li>Entities: String. For each entity, we aggregated the original text, the annotated entity and the produced score from <a href="https://github.com/yahoo/FEL">FEL</a> library. Each entity is separated from another entity by char ";". Also, each entity is separated by char ":" in order to store "original_text:annotated_entity:score;". If FEL did not find any entities, we have stored "null;".</li> <li>Sentiment: String. <a href="http://sentistrength.wlv.ac.uk/">SentiStrength</a> produces a score for positive (1 to 5) and negative (-1 to -5) sentiment. We splitted these two numbers by whitespace char " ". Positive sentiment was stored first and then negative sentiment (i.e. "2 -1").</li> <li>Mentions: String. If the tweet contains mentions, we remove the char "@" and concatenate the mentions with whitespace char " ". If no mentions appear, we have stored "null;".</li> <li>Hashtags: String. If the tweet contains hashtags, we remove the char "#" and concatenate the hashtags with whitespace char " ". If no hashtags appear, we have stored "null;".</li> <li>URLs: String: If the tweet contains URLs, we concatenate the URLs using ":-: ". If no URLs appear, we have stored "null;"</li> </ol> <p>To extract the dataset from <a href="https://data.gesis.org/tweetskb">TweetsKB</a>, we compiled a seed list of 268 COVID-19-related <a href="https://data.gesis.org/tweetscov19/keywords_v1.1.txt">keywords</a>.</p> <p><em>* For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets.</em></p>
TweetsKB (Part 11, January 2022 - August 2022)
<p><strong>TweetsKB</strong><strong> </strong>is a public RDF corpus of anonymized data for a large collection of <strong>annotated </strong>tweets. The dataset currently contains data for more than <strong>2 billion tweets</strong>, spanning more than 7 years (February 2013 - August 2022). Metadata information about the tweets as well as extracted <strong>entities</strong>, <strong>sentiments</strong>, <strong>hashtags</strong>, <strong>user mentions</strong> and <strong>URLs </strong>are exposed in RDF using established RDF/S vocabularies*. Example queries and more information are available through TweetsKB's home page: <a href="https://data.gesis.org/tweetskb/">https://data.gesis.org/tweetskb/</a>.</p> <p> </p> <p><em>* For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets.</em></p>
TweetsKB (Part 10, January 2021 - December 2021)
<p><strong>TweetsKB</strong><strong> </strong>is a public RDF corpus of anonymized data for a large collection of <strong>annotated </strong>tweets. The dataset currently contains data for more than <strong>2 billion tweets</strong>, spanning more than 7 years (February 2013 - August 2022). Metadata information about the tweets as well as extracted <strong>entities</strong>, <strong>sentiments</strong>, <strong>hashtags</strong>, <strong>user mentions</strong> and <strong>URLs </strong>are exposed in RDF using established RDF/S vocabularies*. Example queries and more information are available through TweetsKB's home page: <a href="https://data.gesis.org/tweetskb/">https://data.gesis.org/tweetskb/</a>.</p> <p> </p> <p><em>* For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets.</em></p>
LANL/GEO datafiles for "Kozyra et al, (2024), Multi-Species Energy-Banded Ions in the Ionosphere During the 21 January 2005 Magnetic Storm: Low-Altitude Edge of the Warm Plasma Cloak, JGR-Space Physics"
<p>Full resolution MPA data files covering the time period Jan 21-22, 2005. </p>
Tumor Compendium 25.01 PolyA (January 2025)
This compendium was released in January 2025. It includes a total of 13,359 datasets from Treehouse clinical sites (identifiers start with "TH"), publicly available repositories, TCGA and TARGET projects. These data were generated by library preparation methods including polyA selection. For more information on the accession identifiers listed in the "dataset_accession" field, please visit our Dataset Accessions Legend page.
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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.