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64 results for “Olympics”
Japanese "Olympic" and "Suga" Tweets from 2021-07-01 to 2021-09-02
<p><strong>Abstract</strong> (our paper)</p> <p>The Olympic Games are a typical media event and are seen as a festive occasion that monopolizes people’s attention through the mass media. The Games and their media coverage have a predetermined schedule that enhances the nation’s sense of unity by placing a temporary truce on political conflicts. Governments, especially those of Olympic host countries, tend to take advantage of this effect to garner support for their own policies. However, the effects of such media events may be weakening owing to changes in the media environment and increasing political polarization. Examining the 2020 Tokyo Olympic Games, this case study analyzes a large amount of Twitter data to probe Japanese social media users’ attitudes toward the Olympic Games and the relationship of these attitudinal changes with their attitudes toward the political leadership of the prime minister. The results showed that previously negative attitudes toward the Olympic Games improved as people enjoyed the event. However, this positive shift did not appear to be associated with their attitudes toward the prime minister. Users’ political predispositions strongly determined their attitudes toward the Olympic Games, indicating that the Olympic Games as a media event had limited implications for support for the administration.</p> <p><strong>Data</strong></p> <p>olympic.tsv.gz, suga.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 "オリンピック OR パラリンピック OR 五輪 OR 聖火 OR オリパラ" or "スガ OR 菅 OR 総理 OR 首相" 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> Takeshi Sakaki, Tetsuro Kobayashi, Mitsuo Yoshida, Fujio Toriumi. Do media events still unite the host nation’s citizens? The case of the Tokyo 2020 Olympic Games. <em>PLOS ONE</em>. vol.17, no.12, e0278911, 2022.<br> <a href="https://doi.org/10.1371/journal.pone.0278911">https://doi.org/10.1371/journal.pone.0278911</a></p>
Shipboard Conductivity–Temperature–Depth (CTD) and dissolved oxygen profile data collected during hypoxia surveys along six hydrographic sampling lines within Olympic Coast National Marine Sanctuary, 2004–2015
<p>This data set includes Conductivity-Temperature-Depth (CTD) and dissolved oxygen profile data that were collected along Washington State’s outer coast within Olympic Coast National Marine Sanctuary (OCNMS). Measurements were made along six cross-shelf hydrographic sampling lines during a series of hypoxia survey cruises from 2004 – 2015. The 398 CTD profiles were acquired using Sea-Bird Scientific 19 SeaCAT or 19plus SeaCAT CTD profilers with associated SBE-43 (Sea-Bird Electronics) or Beckman or YSI-type (Yellow Springs Instruments) dissolved oxygen sensors. The data were processed via Sea-Bird Scientific’s SBE Data Processing application using six of the modules in the following order: Data Conversion, Filter, Align CTD, Loop Edit, Derive, and Bin Average. These processing steps and associated methods are the same as those used to process CTD data collected during OCNMS mooring maintenance cruises (<a href="https://www.sciencedirect.com/science/article/pii/S2352340924001422">Risien et al., 2024</a>) and along the Newport Hydrographic Line (<a href="https://www.sciencedirect.com/science/article/pii/S2352340922001342">Risien et al., 2022</a>) located off the central Oregon coast.</p> <table> <tbody> <tr> <td><strong>Station Name </strong></td> <td><strong>Latitude</strong></td> <td><strong>Longitude</strong></td> <td><strong>Water Depth (m, MLLW)</strong></td> </tr> <tr> <td><strong>Cape Alava (CA)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CA010</td> <td>48.1661oN</td> <td>124.7540oW</td> <td>10</td> </tr> <tr> <td>CA020</td> <td>48.1661oN</td> <td>124.7598oW</td> <td>20</td> </tr> <tr> <td>CA030</td> <td>48.1659oN</td> <td>124.7783oW</td> <td>30</td> </tr> <tr> <td>CA040</td> <td>48.1659oN</td> <td>124.7852oW</td> <td>40</td> </tr> <tr> <td>CA045</td> <td>48.1659oN</td> <td>124.8335oW</td> <td>45</td> </tr> <tr> <td>CA050</td> <td>48.1658oN</td> <td>124.8578oW</td> <td>50</td> </tr> <tr> <td>CA060</td> <td>48.1659oN</td> <td>124.8843oW</td> <td>60</td> </tr> <tr> <td>CA070</td> <td>48.1655oN</td> <td>124.9011oW</td> <td>70</td> </tr> <tr> <td>CA080</td> <td>48.1657oN</td> <td>124.9141oW</td> <td>80</td> </tr> <tr> <td>CA090</td> <td>48.1659oN</td> <td>124.9247oW</td> <td>90</td> </tr> <tr> <td>CA100</td> <td>48.1658oN</td> <td>124.9319oW</td> <td>100</td> </tr> <tr> <td><strong>Teahwhit Head (TH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>TH030</td> <td>47.8759oN</td> <td>124.6481oW</td> <td>30</td> </tr> <tr> <td>TH035</td> <td>47.8761oN</td> <td>124.7024oW</td> <td>35</td> </tr> <tr> <td>TH040</td> <td>47.8760oN</td> <td>124.7281oW</td> <td>40</td> </tr> <tr> <td>TH050</td> <td>47.8761oN</td> <td>124.7567oW</td> <td>50</td> </tr> <tr> <td>TH060</td> <td>47.8765oN</td> <td>124.7822oW</td> <td>60</td> </tr> <tr> <td>TH070</td> <td>47.8765oN</td> <td>124.8084oW</td> <td>70</td> </tr> <tr> <td>TH080</td> <td>47.8768oN</td> <td>124.8415oW</td> <td>80</td> </tr> <tr> <td>TH090</td> <td>47.8769oN</td> <td>124.8868oW</td> <td>90</td> </tr> <tr> <td>TH100</td> <td>47.8769oN</td> <td>124.9182oW</td> <td>100</td> </tr> <tr> <td><strong>Hoh Head (HH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>HH025</td> <td>47.7688oN</td> <td>124.5605oW</td> <td>25</td> </tr> <tr> <td>HH042</td> <td>47.7688oN</td> <td>124.6428oW</td> <td>42</td> </tr> <tr> <td>HH065</td> <td>47.7688oN</td> <td>124.7401oW</td> <td>65</td> </tr> <tr> <td><strong>Raft River (RR)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>RR015</td> <td>47.4632oN</td> <td>124.3748oW</td> <td>15</td> </tr> <tr> <td>RR020</td> <td>47.4644oN</td> <td>124.4510oW</td> <td>20</td> </tr> <tr> <td>RR042</td> <td>47.4632oN</td> <td>124.5199oW</td> <td>42</td> </tr> <tr> <td>RR065</td> <td>47.4629oN</td> <td>124.6074oW</td> <td>65</td> </tr> <tr> <td><strong>Cape Elizabeth (CE)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CE010</td> <td>47.3541oN</td> <td>124.3347oW</td> <td>10</td> </tr> <tr> <td>CE020</td> <td>47.354oN</td> <td>124.3608oW</td> <td>20</td> </tr> <tr> <td>CE030</td> <td>47.3538oN</td> <td>124.3913oW</td> <td>30</td> </tr> <tr> <td>CE040</td> <td>47.3534oN</td> <td>124.4678oW</td> <td>40</td> </tr> <tr> <td>CE050</td> <td>47.3532oN</td> <td>124.5064oW</td> <td>50</td> </tr> <tr> <td>CE060</td> <td>47.3529oN</td> <td>124.5510oW</td> <td>60</td> </tr> <tr> <td>CE070</td> <td>47.3528oN</td> <td>124.5823oW</td> <td>70</td> </tr> <tr> <td>CE080</td> <td>47.3527oN</td> <td>124.6158oW</td> <td>80</td> </tr> <tr> <td>CE090</td> <td>47.3526oN</td> <td>124.6491oW</td> <td>90</td> </tr> <tr> <td>CE100</td> <td>47.3522oN</td> <td>124.6754oW</td> <td>100</td> </tr> <tr> <td><strong>Moclips (MO)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>MO010</td> <td>47.2214oN</td> <td>124.2394oW</td> <td>10</td> </tr> <tr> <td>MO015</td> <td>47.2214oN</td> <td>124.2599oW</td> <td>15</td> </tr> <tr> <td>MO020</td> <td>47.2214oN</td> <td>124.2791oW</td> <td>20</td> </tr> <tr> <td>MO030</td> <td>47.2195oN</td> <td>124.3347oW</td> <td>30</td> </tr> <tr> <td>MO042</td> <td>47.2195oN</td> <td>124.3958oW</td> <td>42</td> </tr> </tbody> </table>
Conductivity–Temperature–Depth (CTD) and dissolved oxygen profile data from shipboard surveys collected within Olympic Coast National Marine Sanctuary, 2005-2023
<p>This data set includes Conductivity-Temperature-Depth (CTD) and dissolved oxygen profile data that were collected along Washington State’s outer coast within Olympic Coast National Marine Sanctuary towards the northernmost extent of the California Current System. Measurements were made at fourteen hydrographic stations during mooring deployment, recovery, and maintenance cruises between the months of May and October from 2005–2023. The 792 CTD profiles were acquired using Sea-Bird Scientific 19 SeaCAT or 19plus SeaCAT CTD profilers with associated SBE-43 (Sea-Bird Electronics) or Beckman or YSI-type (Yellow Springs Instruments) dissolved oxygen sensors. The data were processed via Sea-Bird Scientific’s SBE Data Processing application using six of the modules in the following order: <em>Data Conversion, Filter, Align CTD, Loop Edit, Derive, and Bin Average</em>. These processing steps and associated methods are the same as those used to process CTD data that make up the <a href="../records/5814071">Newport Hydrographic Line time series</a> located off the central Oregon coast thus allowing for a direct comparison between the two regions.</p> <table> <tbody> <tr> <td><strong>Station Name </strong></td> <td><strong>Latitude</strong></td> <td><strong>Longitude</strong></td> <td><strong>Water Depth (m, MLLW)</strong></td> </tr> <tr> <td><strong>Makah Bay (MB)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>MB015</td> <td>48.3254oN</td> <td>124.6768oW</td> <td>15</td> </tr> <tr> <td>MB042</td> <td>48.3240oN</td> <td>124.7354oW</td> <td>42</td> </tr> <tr> <td><strong>Cape Alava (CA)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CA015</td> <td>48.1663oN</td> <td>124.7568oW</td> <td>15</td> </tr> <tr> <td>CA042</td> <td>48.1660oN</td> <td>124.8234oW</td> <td>42</td> </tr> <tr> <td>CA065 </td> <td>48.1659oN</td> <td>124.8949oW</td> <td>65</td> </tr> <tr> <td><strong>Teahwhit Head (TH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>TH015</td> <td>47.8761oN</td> <td>124.6195oW</td> <td>15</td> </tr> <tr> <td>TH042</td> <td>47.8762oN</td> <td>124.7334oW</td> <td>42</td> </tr> <tr> <td>TH065 </td> <td>47.8767oN</td> <td>124.7967oW</td> <td>65</td> </tr> <tr> <td><strong>Kalaloch (KL)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>KL015</td> <td>47.6008oN</td> <td>124.4284oW</td> <td>15</td> </tr> <tr> <td>KL027</td> <td>47.5946oN</td> <td>124.4971oW</td> <td>27</td> </tr> <tr> <td>KL050 </td> <td>47.5933oN</td> <td>124.6112oW</td> <td>50</td> </tr> <tr> <td><strong>Cape Elizabeth (CE)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CE015</td> <td>47.3568oN</td> <td>124.3481oW</td> <td>15</td> </tr> <tr> <td>CE042</td> <td>47.3531oN</td> <td>124.4887oW</td> <td>42</td> </tr> <tr> <td>CE065 </td> <td> 47.3528oN</td> <td>124.5669oW</td> <td>65</td> </tr> </tbody> </table>
Dataset: Sentiment Analysis annotation of News headlines covering the Olympic legacy of Rio 2016 and London 2012 published by the Brazilian and British online media
<p>Dataset of 464 news headlines with sentiment manually annotated by a domain expert using the labels positive, negative and neutral. Data contains URLs for news articles published between 2004-2020 by the British and Brazilian media in English and Brazilian Portuguese covering the Olympic legacies of London 2012 and Rio 2016. Articles were collected from the news outlets’ websites using Google search engine.</p> <p>News outlets:</p> <ul> <li>The Guardian</li> <li>Daily Mail</li> <li>Globo</li> <li>Estadao</li> </ul>
R&D Dataset for LHC Olympics 2020 Anomaly Detection Challenge
<p>This is the first R&D dataset for the LHC Olympics 2020 Anomaly Detection Challenge. It consists of 1M QCD dijet events and 100k W'->XY events, with X->qq and Y->qq. The W', X, and Y masses are 3.5 TeV, 500 GeV and 100 GeV respectively. The events are produced using Pythia8 and Delphes 3.4.1, with no pileup or MPI included. They are selected using a single fat-jet (R=1) trigger with pT threshold of 1.2 TeV. </p> <p>The events are randomly shuffled together, but for the purposes of testing and development, we provide the user with a signal/background truth bit for each event. Obviously, the truth bit will not be included in the actual challenge.</p> <p>These events are stored as pandas dataframes saved to compressed h5 format. For each event, all Delphes reconstructed particles in the event are assumed to be massless and are recorded in detector coordinates (pT, eta, phi). More detailed information such as particle charge is not included. Events are zero padded to constant size arrays of 700 particles, with the truth bit appended at the end. The array format is therefore (Nevents=1.1M, 2101).</p> <p>For more information, including an example Jupyter notebook illustrating how to read and process the events, see the official LHC Olympics 2020 webpage.</p> <p><a href="https://lhco2020.github.io/homepage/">https://lhco2020.github.io/homepage/</a></p> <p><strong>UPDATE May 18 2020</strong></p> <p>We have uploaded a second signal dataset for R&D, consisting of 100k W'->XY with X,Y->qqq (i.e. 3-prong substructure). Everything else about this signal dataset (particle masses, trigger, Pythia configuration, detector simulation) is the same as the previous one described above. </p> <p><strong>UPDATE November 23 2020</strong></p> <p>We now include high-level feature files for the background and 2-prong signal (events_anomalydetection_v2.features.h5) and for the 3-prong signal (events_anomalydetection_Z_XY_qqq.features.h5). To produce the features, we have clustered every event into R=1 jets using the anti-kT algorithm. The features (calculated using fastjet plugins) are the 3-momenta, invariant masses, and n-jettiness variables tau1, tau2 and tau3 for the highest pT jet (j1) and the second highest pT jet (j2):</p> <p>'pxj1', 'pyj1', 'pzj1', 'mj1', 'tau1j1', 'tau2j1', 'tau3j1', 'pxj2', 'pyj2', 'pzj2', 'mj2', 'tau1j2', 'tau2j2', 'tau3j2'</p> <p>The rows (events) in each feature file should be ordered exactly the same as in their corresponding raw event file. For convenience, we have also included the label (1 for signal and 0 for background) as an additional column in the first feature file (events_anomalydetection_v2.features.h5).</p> <p><strong>UPDATE February 11 2021</strong></p> <p>We have included the Delphes detector card and the Pythia8 command files used to produce the R&D datasets.</p> <p><strong>UPDATE April 17 2022</strong></p> <p>It was brought to our attention that somehow the raw events file events_anomalydetection.h5 was never updated to v2, which had a lower generator-level pT threshold (PhaseSpace:pTHatMin = 500) for QCD events to minimize artificial trigger sculpting. This v2 is the version that the features file (events_anomalydetection_v2.features.h5) corresponds to, as well as the Pythia cmnd file (pythia_RnD_qcd.cmnd). Now the raw events file has been brought up to date as well. </p>
Dataset: Olympic Steel, Inc. (ZEUS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
The Olympic gold medalists and Instagram - A longitudinal study on user characteristics
<p>This dataset includes Instagram user characteristics of those Olympic athletes who won gold medals in the individual events of Rio2016. The name of all these gold medalists of individual events are in the dataset (226 athletes), however only 144 athletes (83 men and 61 women) had a publicly available Instagram account in all of the observations during the 4 months period of data gathering. The first round of data gathering (first observation, i.e. OlympicAthletesData_1) took place 9-Aug-2019 to 12-Aug-2019, the second round of data gathering (second observation, i.e. OlympicAthletesData_2) took place 9-Sep-2019 to 12-Sep-2019, the third round of data gathering (third observation, i.e. OlympicAthletesData_3) took place 9-Oct-2019 to 12-Oct-2019, the fourth round of data gathering (fourth observation, i.e. OlympicAthletesData_4) took place 9-Nov-2019 to 12-Nov-2019. The data gathered for each user (in each observation) consists of:</p> <p>1- Name of the individual event </p> <p>2- Country</p> <p>3- Name</p> <p>4- Gender</p> <p>5- Instagram ID</p> <p>6- Number of Posts</p> <p>7- Number of followers</p> <p>8- Number of followings</p> <p>9- Maximum Number of likes (in the last 10 photo posts)</p> <p>10- Number of comments for the post with Maximum Number of likes (in the last 10 photo posts)</p> <p>11- Number of self-presenting posts in the last 10 photo posts (those posts in which the athlete is present)</p> <p>12- Number of pure self-presenting posts in the last 10 photo posts (those posts in which the athlete is the only person who is present)</p> <p>13- Age</p> <p>14- Date of data crawling</p>
1956 Melbourne Olympic Torch
Melbourne's 1956 summer Olympics saw a number of events held at Lake Wendouree, Ballarat, and was an important moment in the town's history. This torch was used in the relay event, and forms part of a small collection of material donated to the City of Ballarat by Ballarat-born Olympians Robert 'Bob' Bath and John Vernon. Other items include a Visitors Book signed by 1956 canoeing and rowing teams from competing countries, as well as one of four Olympic flags used in Ballarat during the 1956 Games. Discover the [Ballarat Town Hall collection](http://www.hulballarat.org.au/cb_pages/rediscovering_town_hall_vaults.php) today and [watch](https://www.youtube.com/watch?v=zGT5XAA_W8c&feature=youtu.be&list=PLjLlvPyK341_pITtZlYnODx1vMftp0x73) a short video about the Olympic collection. Source: Objaverse 1.0 / Sketchfab
Olympic Ring Benches
A pair of benches (2 of 4 in this location) that were made from the large Olympic Rings that hung in St Pancras Station during the London 2012 Olympics. Located in the small parklet at the north east corner of St Pancras Station, Camley Street, London. The benches are now heavily overgrown and unmaintained. 246 photos taken in May 2022 with a Sony a7R III and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Boxing Glove from 1952 Olympic Games
This boxing glove made by the Finnish manufacturer Karhu carries the signatures of all boxing gold medalists at the Helsinki Olympic Games of 1952. The finals of the Olympic boxing tournament took place in Töölö Exhibition Hall on 2 August, one day before the closing ceremony of the Games. American boxers won five gold medals out of ten. The rest of the winners came from five different European countries. Pentti Hämäläinen of Finland delighted the home crowd by winning gold in the bantamweight division. Names on the glove: Nathan "Nate" Brooks (USA), flyweight (51 kg) Pentti Hämäläinen (Finland), bantamweight (54 kg) Ján Zachara (Czechoslovakia), featherweight (57 kg) Aureliano Bolognesi (Italy), lightweight (60 kg) Charles Adkins (USA), light welterweight (63.5 kg) Zygmunt Chychła (Poland), welterweight (67 kg) László Papp (Hungary), light middleweight (71 kg) Floyd Patterson (USA), middleweight (75 kg) Norvel Lee (USA), heavy middleweight (81 kg) Edward Sanders (USA), heavyweight (over 81 kg) Source: Objaverse 1.0 / Sketchfab
1956 Olympic relay torch
Melbourne's 1956 summer Olympics saw a number of events held at Lake Wendouree, Ballarat, making Ballarat one of only three Olympic cities in Australia. This torch was used in the relay event, and forms part of a small collection of material donated to the City of Ballarat by Ballarat-born Olympians Robert 'Bob' Bath and John Vernon. Other items include a Visitors Book signed by 1956 canoeing and rowing teams from competing countries, as well as one of four Olympic flags used in Ballarat during the 1956 Games. Discover the [Ballarat Town Hall collection](http://www.hulballarat.org.au/cb_pages/rediscovering_town_hall_vaults.php) today and [watch](https://youtu.be/zGT5XAA_W8c?list=PLjLlvPyK341_pITtZlYnODx1vMftp0x73) a short video about the Olympic collection. Model developed by  [Digital Heritage Australia ](http://digitalheritageaustralia.com) Source: Objaverse 1.0 / Sketchfab
1952 Olympic Tin Candy Box
The Organising Committee of the Helsinki Olympic Games authorised dozens of companies to use the Olympic rings in their marketing. The range of licensed products spanned from spoons to saunas and candies to car parts. The Olympic candy boxes were made by Oy G.W. Sohlberg Ab. The same company made also Olympic needle plates, corkscrews, matchbox covers and flashlights. Source: Objaverse 1.0 / Sketchfab
Olympic Collection Box
This wooden cash box was used at coffee parties by Finnish-American societies in New York to raise funds for the Finnish Olympic team ahead of the 1932 Winter Games held in Lake Placid, N.Y. The collection drive held in the winter of 1931-32 – in the middle of the Great Depression – among Finnish immigrants in the United States and Canada yielded an impressive sum that eventually covered half of the travel expenses of the Finnish Olympic teams for Lake Placid and for the Summer Games held in Los Angeles. The cash-strapped Finnish Olympic Committee could afford to send only seven athletes to the Winter Games in Lake Placid – and one of them had to pay for his own fare. This box was apparently handed to the team in New York on 20 February 1932, the date seen on the bottom with signatures of the Finnish athletes. Source: Objaverse 1.0 / Sketchfab
Olympic Gold Medal From Stockholm 1912
Hannes Kolehmainen won three gold medals at the Stockholm Olympic Games of 1912: in 5,000 metres, 10,000 metres and the cross-country race. His most famous victory came in the 5,000-metre final, where he beat France's Jean Bouin after a tight duel with a world record time of 14:36.6. The Olympic gold medals of 1912 were the last ones made of solid gold; at all subsequent Games gilded silver has been used. The medal is 33 mm in diameter and weighs 30 g. The obverse, designed by Bertram Mackennal originally for the 1908 London Games, depicts two female figures holding a laurel wreath above a young victorious athlete. The reverse, designed by Erik Lindberg, features a herald and a statue of the Swedish gymnastics educator Per Henrik Ling. Source: Objaverse 1.0 / Sketchfab
Olympics Dataset
<p>Olympics Dataset (Summer and Winter) with all participing athletes from 1900 to 2016 from : https://www.kaggle.com/datasets/heesoo37/120-years-of-olympic-history-athletes-and-results/data?select=athlete_evdf.columns%20=%20df.columns.str.replace(%27%22%27,%20%27%27).df.columns%20=%20df.columns.str.replace(%27%22%27,%20%27%27).str.strip().strip()ents.csv</p> <pre>ID,Name,Sex,Age,Height,Weight,Team,NOC,Games,Year,Season,City,Sport,Event,Medal </pre>
Full Olympics DataSet
<p>Olympics Dataset (Summer and Winter) with all participing athletes from 1900 to 2016 from : https://www.kaggle.com/datasets/heesoo37/120-years-of-olympic-history-athletes-and-results/data?select=athlete_evdf.columns%20=%20df.columns.str.replace(%27%22%27,%20%27%27).df.columns%20=%20df.columns.str.replace(%27%22%27,%20%27%27).str.strip().strip()ents.csv</p>
Instagram Characteristics of Olympic gold medalists (Rio2016)
<p>This dataset includes Instagram user characteristics of those Olympic athletes who won gold medals in the individual events of Rio2016. The name of all these gold medalists of individual events are in the dataset (226 athletes), however only 149 athletes (85 men and 64 women) had their Instagram publicly available at the time of data crawling (the whole dataset was crawled from 9-Aug-2019 to 12-Aug-2019). Thus, for some athletes we could not present data in the dataset. The data gathered for each user consists of:</p> <p>1- Name of the individual event </p> <p>2- Country</p> <p>3- Name</p> <p>4- Gender</p> <p>5- Instagram ID</p> <p>6- Number of Posts</p> <p>7- Number of followers</p> <p>8- Number of followings</p> <p>9- Maximum Number of likes (in the last 10 photo posts)</p> <p>10- Number of comments for the post with Maximum Number of likes (in the last 10 photo posts)</p> <p>11- Number of self-presenting posts in the last 10 photo posts (those posts in which the athlete is present)</p> <p>12- Number of pure self-presenting posts in the last 10 photo posts (those posts in which the athlete is the only person who is present)</p> <p>13- Age</p> <p>14- Date of data crawling</p>
Wikidata Dump Olympics
<p> RDF dump of wikidata produced with <a href="https://tools.wmflabs.org/wdumps/">wdumps</a>. </p> <p> Getting all the data related to Olympics<br> <a href="https://tools.wmflabs.org/wdumps/dump/1716">View on wdumper</a> </p> <p> <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0 </p>
Olympic Commemorative medal Helsinki 1952
The Organising Committee of Helsinki 1952 announced an open design competition for the commemorative medal of the Olympic Games in the spring of 1951. The winner among 35 entrants was the young sculptor Kauko Räsänen, who received the prize of 150,000 marks and additional 50,000 for final production of the medal. The bronze commemorative medal was given to all participants and officials at the Olympic Games. The number of medals struck was 14,000. The medal is 54 millimetres in diameter. The obverse side features two figures carrying torches, the Olympic rings and the text: XV OLYMPIA. The reverse side depicts an athlete's profile, a curve of the Olympic Stadium and the text: HELSINKI HELSINGFORS 1952. Source: Objaverse 1.0 / Sketchfab
Wind River Experimental Forest site, station Washington Region 4, East Olympic Cascades Foothills, study of Palmer Drought Severity Index in units of dimensionless on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Wind River Experimental Forest (WIN) contains Palmer Drought Severity Index measurements in dimensionless units and were aggregated to a monthly timescale.
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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.