Find research datasets worth reusing

opencc-by-4.0Jul 2021View details →

Data on the sex and age composition of Bramblings Fringilla montifringilla during autumn migration and winter in Europe

Abstract Bramblings Fringilla montifringilla are known to vary in winter distribution according to sex and age (differential migration). This pattern is complicated by the large yearly fluctuation in their preferred winter food, beech seeds. In beechmast areas, large concentrations of Bramblings occur, and their sex and age composition differs from that of winters without a beechmast. Here we present data on the sex and age composition of Bramblings during autumn migration and winters with and without beechmast, mainly from Switzerland, supplemented with data from northern and southern Europe.   Literature cited in the Excel-file Arizaga J, Zuberogoitia I, Zabala J, Crespo A, Iraeta A, Belamendia G (2012) Seasonal patterns of age and sex ratios, morphology and body mass of Bramblings Fringilla montifringilla at a large winter roost in southern Europe. Ring. Migr. 27:1–6. https://doi.org/10.1080/03078698.2012.686707 Browne SJ, Mead CJ (2003) Age and sex composition, biometrics, site fidelity and origin of Brambling Fringilla montifringilla wintering in Norfolk, England. Ring. Migr. 21:145–153. https://doi.org/10.1080/03078698.2003.9674283 Khil L, Samwald O, Tiefenbach A, Tiefenbach M, Pacher H (2011) Der Massenschlafplatz von Bergfinken Fringilla montifringilla in Österreich im Winter 2008/2009. Limicola 25:81–100 Kjellén N, Lindström Å (1993) Bergfinkens övervintringsstrategier samt några iakttagelser från en skånsk sovplats i januari-februari 1993. Anser 32:187–199 Robson D (1996) Influencia de la temperatura en la masa corporal del Pinzon Real. Ardeola 43:139–144 Schierer A (1957) Geschlechts- und Altersverhältnis der Nordfinken. Vögel Heimat 27:68 Widemo U (1977) Bergfink Fringilla montifringilla Jan. - Apr. 1977. Sex and age distribution, winglength and change of weight. Fåglar i Sörmland 10:76–81

opencc-by-4.0Sep 2021View details →

Migrating Tides in the Stratosphere from COSMIC Radio Occultation Data

These analyses of the migrating tides in temperature, microwave refractivity, and geopotential in the Earth’s stratosphere are analyzed using GPS radio occultation (RO) data obtained by the COSMIC constellation of six satellites in orbit planes separated by 30° in ascending node. The tides are analyzed monthly, beginning with November 2006 and ending with December 2016. The radio occultation retrievals used as input to the analyses are obtained from the Climate Data Record v1 of the EUMETSAT Radio Occultation Meteorology Satellite Application Facility (ROM SAF; romsaf.org). The reference model that is used for the sake of comparison are the 3-, 6-, 9-, and 12-hr forecasts of the ERA-Interim reanalysis project.

opencc-by-4.0Nov 2022View details →

Migration on the Chessboard: Political Violence as a Decisive Factor in Coercive Migration Diplomacy (Data and Associated Files for Dissertation)

This publication contains files associated with analysis for my dissertation, "Migration on the Chessboard: Political Violence as a Decisive Factor in Coercive Migration Diplomacy." The dissertation explores a potential relationship between political violence and a state leader's choice to use migration as a bargaining chip in pursuit of foreign policy objectives. "Key to datasets.docx" and "dataframes_viz.png" explain the contents of the five datasets used. These five datasets are the five .dta files. There are five log files (.txt) and five do files containing code (.do) corresponding to the five datasets. Finally, each dataset has three associated results tables (.xls) for a total of fifteen .xls files.

opencc-by-4.0Nov 2022View details →

MIGR-TWIT Corpus. Migration Tweets of right and far-right politics in Europe

Description The MIGR-TWIT Corpus is a multilingual corpus of tweets about the topic of migration in Europe. Within the framework of the collaborative research project OLiNDiNUM (Observatoire LINguistique du DIscours NUMérique, Linguistic Observatory of Online Debate) the MIGR-TWIT Corpus is created with the aim of developing language databases of online debate. Considering the global issue of migration in line with British and French political contexts of last dozen years from 2011 to 2022, the corpus consists of two sub-corpora:  <ul> <li> FR-R-MIGR-TWIT-2011-2022 Corpus for French language data (1 January 2011 - 30 June 2022) and  </li> <li> UK-R-MIGR-RA-TWIT-2012-2022 Corpus for English language data (1 January 2012 - 5 September 2022)   </li> </ul> Using the Twitter API v2 Academic Research, tweets containing at least one occurrence of migration or refugee related words are retrieved automatically from 28 right and far-right political figures and parties. The whole corpus contains 18,233  tweets and 533,198 words.  Scientific reference: Pietrandrea, P., Battaglia, E. (2022). “Migrants and the EU”. The diachronic construction of ad hoc categories in French far-right discourse. Journal of Pragmatics 192, 139-157. Blandino, G. (2023). 10 years of public debate on immigration: combining topic modeling and corpus linguistics to examine the British (far-)right discourse on Twitter, MA University of Wolverhampton Jeon, S. (2025). Le discours numérique sur l'immigration en France entre 2011 et 2022. Une analyse de corpus (Online Discourse on Immigration in France between 2011 and 2022. A Corpus Analysis), PhD Thesis, Université de Lille, France. Contents The whole corpus contains two CSV Zip files (tabular format) corresponding to each sub-corpus. The complete corpus is presented in two versions, one version with the tweet identifier (data__id) and the text of the tweet (data__text) as a header (folders named FR-R-MIGR-TWIT-2011-2022_textonly and UK-R-MIGR-RA-TWIT-2012-2022_textonly, respectively composed of 12 and 11 Zip files of every single year), and the other version with all tweet fields information included as a header, such as the posting date (data__created__at), the username (author__name), the number of retweets (data__public_metrics__retweet_count), etc., with two folders named FR-R-MIGR-TWIT-2011-2022_meta and UK-R-MIGR-RA-TWIT-2012-2022_meta. Detailed information for each sub-corpus is illustrated below. 1. FR-R-MIGR-TWIT-2011-2022   <ul> <li>Created at: 2022-08-08</li> <li> Language: FR  </li> <li> Coverage: 16 user accounts; 11,761 tweets; 358,491 words </li> <li> Time of data collection: start=2011-01-01; end=2022-06-30  </li> <li> Keywords: words derived from a latin root “migr” of migrare </li> <li> Corpus composition:  </li> </ul> <table> <tbody> <tr> <th> </th> <th>Political figure/party</th> <th>Username</th> <th>Tweets</th> <th>Year concerned</th> </tr> <tr> <th>1</th> <td>Michel Barnier</td> <td>@MichelBarnier</td> <td>31</td> <td>2017-22</td> </tr> <tr> <th>2</th> <td>Valérie Pécresse</td> <td>@vpecresse</td> <td>81</td> <td>2017-22</td> </tr> <tr> <th>3</th> <td>Rassemblement National</td> <td>@RNational_off</td> <td>3,347</td> <td>2017-22</td> </tr> <tr> <th>4</th> <td>Nicolas Dupont-aignan</td> <td>@dupontaignan</td> <td>663</td> <td>2011-22</td> </tr> <tr> <th>5</th> <td>Éric Ciotti</td> <td>@ECiotti</td> <td>1,007</td> <td>2012-22</td> </tr> <tr> <th>6</th> <td>Christian Estrosi</td> <td>@cestrosi</td> <td>137</td> <td>2011-22</td> </tr> <tr> <th>7</th> <td>Marine Le Pen</td> <td>@MLP_officiel</td> <td>1,650</td> <td>2011-22</td> </tr> <tr> <th>8</th> <td>Valérie Boyer</td> <td>@valerieboyer13</td> <td>837</td> <td>2012-22</td> </tr> <tr> <th>9</th> <td>Florian Philippot</td> <td>@f_philippot</td> <td>485</td> <td>2012-22</td> </tr> <tr> <th>10</th> <td>Xavier Bertrand</td> <td>@xavierbertrand</td> <td>70</td> <td>2017-22</td> </tr> <tr> <th>11</th> <td>Marion Maréchal</td> <td>@MarionMarechal</td> <td>479</td> <td>2012-17,19-22</td> </tr> <tr> <th>12</th> <td>Philippe Meunier</td> <td>@Meunier_Ph</td> <td>245</td> <td>2013-22</td> </tr> <tr> <th>13</th> <td>Jordan Bardella</td> <td>@J_Bardella</td> <td>1,095</td> <td>2013-22</td> </tr> <tr> <th>14</th> <td>Nicolas Bay</td> <td>@NicolasBay_</td> <td>1,260</td> <td>2017-22</td> </tr> <tr> <th>15</th> <td>Emmanuel Macron</td> <td>@EmmanuelMacron</td> <td>72</td> <td>2017-22</td> </tr> <tr> <th>16</th> <td>Éric Zemmour</td> <td>@ZemmourEric</td> <td>302</td> <td>2019-22</td> </tr> <tr> <th>17</th> <td>Jean Messiha*</td> <td>Banned from Twitter (since July 2021)</td> <td>-</td> <td>-</td> </tr> </tbody> </table> <ul> <li>Political figures and parties of table above are listed in chronological order according to the dates on which they posted their first tweet.</li> <li> *Before the launching of Twitter API v2 Academic Research, migr-tweets were collected from the database of Europresse.com including 1,453 tweets of Jean Messiha as part of the reference study (Pietrandrea & Battaglia 2022). However, the Twitter account in question has been permanently banned since July 2021. For our data collection using the Twitter API started in September 2021, we could not access this account. Therefore, we decided not to include his tweets in the FR-R-MIGR-TWIT-2011-2022 for the sake of consistency with the rest of twitter data that are automatically retrieved. </li> <li> The sub-corpus FR-R-MIGR-TWIT-2017-2022 is developed, annotated and analyzed as part of a doctoral thesis in progress (<a href="https://theses.fr/s360032">Jeon, 2025</a>) with the aim of studying the semantic construction of migr-lexicon over the period between 2011 and 2022.  </li> </ul>   2. UK-R-MIGR-RA-TWIT-2012-2022  <ul> <li> Created at: 2022-09-06 </li> <li> Language: EN </li> <li> Coverage: 12 user accounts; 6,472 tweets; 174,707 words  </li> <li> Time of data collection: start=2012-01-01; end=2022-09-05 </li> <li> Keywords: words derived from a latin root “migr” of migrare in addition to the keywords “refugee(s)” and “asylum”. </li> <li> Corpus composition: </li> </ul> <table> <tbody> <tr> <th> </th> <th>Political figure/party</th> <th>Username</th> <th>Tweets</th> <th>Year concerned</th> </tr> </tbody> <tbody> <tr> <th>1</th> <td>David Cameron</td> <td>@David_Cameron</td> <td>32</td> <td>2012-22</td> </tr> <tr> <th>2</th> <td>Amber Rudd</td> <td>@AmberRuddUK</td> <td>29</td> <td>2012-22</td> </tr> <tr> <th>3</th> <td>Sajid Javid</td> <td>@sajidjavid</td> <td>84</td> <td>2012-22</td> </tr> <tr> <th>4</th> <td>Boris johnson</td> <td>@BorisJohnson</td> <td>80</td> <td>2015-22</td> </tr> <tr> <th>5</th> <td>Priti Patel</td> <td>@pritipatel</td> <td>304</td> <td>2012-22</td> </tr> <tr> <th>6</th> <td>UK Home Office</td> <td>@ukhomeoffice</td> <td>909</td> <td>2012-22</td> </tr> <tr> <th>7</th> <td>Nigel Farage</td> <td>@Nigel_Farage</td> <td>1,010</td> <td>2012-22</td> </tr> <tr> <th>8</th> <td>Richard Tice</td> <td>@TiceRichard</td> <td>180</td> <td>2013-22</td> </tr> <tr> <th>9</th> <td>UKIP</td> <td>@UKIP</td> <td>2,746</td> <td>2012-22</td> </tr> <tr> <th>10</th> <td>Neil Hamilton</td> <td>@NeilUKIP</td> <td>252</td> <td>2013-22</td> </tr> <tr> <th>11</th> <td>Nick Griffin</td> <td>@NickGriffinBU</td> <td>542</td> <td>2012-22</td> </tr> <tr> <th>12</th> <td>Robin Tilbrook</td> <td>@RobinTilbrook</td> <td>304</td> <td>2012-22</td> </tr> </tbody> </table>   <ul> <li> 2 out of 12 accounts are official accounts belonging to the” UK Home Office” department and the “UKIP” (United Kingdom Independence Party) party. 10 out of 12 accounts are political figures’ accounts. </li> <li> The corpus UK-R-MIGR-RA-TWIT-2012-2022 will be exploited for the following master’s thesis: Blandino, G. (2023). 10 years of public debate on immigration: combining topic modeling and corpus linguistics to examine the British (far-)right discourse on Twitter, MA University of Wolverhampton. </li> </ul>

opencc-by-4.0Feb 2023View details →

Migration Data Inventory Records

This inventory includes metadata on various quantitative sources of information on migration that can be used for modelling purposes. Documentation: http://www.quantmig.eu/res/QuantMig_documentation_website.pdf Instructional video: https://www.youtube.com/watch?v=Lqm36f0lXho How to cite: Soto Nishimura A and Mooyaart J (2021) Migration Data Inventory Records: Data Inventory. Online resource, available at <a href="http://www.quantmig.eu/data_inventory/">http://www.quantmig.eu/data_inventory/.</a>

Centripetal migration in Drosophila ovary I: wild type timelapse & milestones pt1

Timelapse imaging data tracking inward migration of follicle cells during centripetal migration in Drosophila ovary.  Part of data supporting Figs 2, S1 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration” DOI: 10.1242/dev.200492      •Timelapse imaging data of wild type samples      •Quantitative analysis of specific milestone morphologies      •Analysis of distances between leader FC tips from opposite sides of egg chamber prior to Milestone VII in relevant samples

Centripetal migration in Drosophila ovary IX: E-cadherin null clones pt2 & E-Cadherin germ cell RNAi pt 2

Part of data supporting Figs 6, 7, S3, S6, S16 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration” DOI: 10.1242/dev.200492 Data file descriptions: <ul> <li>“FRT G13 mitotic clones”                                               14.6 GB</li> </ul>             Fixed sample image data for clones of cells with E-Cadherin mutant or control mitotic clones <ul> <li>“GC RNAi flipout timelapse data pt2”                          28.92GB</li> </ul>             Timelapse image data for clones of germ cells with E-Cadherin knockdown <ul> <li> “Image analysis of ring canals-fixed G13 control”        6 KB</li> </ul>             Evaluation of fixed samples for ring canal position just prior to stage 11, nurse cell dumping, using <ul> <li>“Immuno Shg LOF clonal analysis”                                     98 KB</li> </ul>             Preliminary evaluation of sample image with clones of cells with E-Cadherin mutant or  control mitotic clones <ul> <li>“Live GC RNAi clonal data Prelim Eval”                                 25.2 MB</li> </ul>             Preliminary evaluation of germ cell E-Cadherin knockdown samples

Centripetal migration in Drosophila ovary X: E-Cadherin germ cell RNAi pt 1

Part of data supporting Fig S16 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration” DOI: 10.1242/dev.200492 Data description: <ul> <li>“GC RNAi flipout timelapse data pt1”                         38 GB</li> </ul>               Timelapse image data for clones of germ cells with E-Cadherin knockdown <ul> <li>“Live GC RNAi clonal data Prelim Eval”                                25.2 MB</li> </ul>            Preliminary evaluation of all germ cell E-Cadherin knockdown samples

Centripetal migration in Drosophila ovary VIII: E-cadherin null mitotic clones pt1

Data supporting Figs. 6, 7, S6 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration” DOI: 10.1242/dev.200492 <ul> <li>“Immuno Shg LOF clonal analysis”                                    98 KB</li> </ul>             Preliminary evaluation of sample image with clones of cells with E-Cadherin mutant or control mitotic clones <ul> <li>“Mixed control and shg mutant mitotic clones”       44.1Gb </li> </ul>             Fixed sample image data for clones of cells with E-Cadherin mutant or control mitotic clones

Centripetal migration in Drosophila ovary VII: E-cadherin RNAi clones in follicle cells timelapse

Data supporting Figs. 5, S7, S8, S9, S10, S11, S12, S13, S14, S15 of “Two phases for centripetal migration of Drosophila melanogaster follicle cells: initial ingression followed by epithelial migration” DOI: 10.1242/dev.200492 <ul> <li>“FC RNAi flipout timelapse data complete”               43.53GB</li> </ul>            Timelapse image data for clones of follicle cells with E-Cadherin knockdown <ul> <li>“Live FC RNAi Clonal Data prelim evaluation”             22.1 MB</li> </ul>             Preliminary evaluation of follicle cell E-Cadherin knockdown samples <ul> <li>“RNAi clone M2-M3-M5 quant”                                12 KB</li> </ul>            Quantitative data from specific milestones for clones of follicle cells with E-Cadherin knockdown

opencc-by-4.0Apr 2023View details →

MIGR-TWIT CORPORA. Migration Tweets of French Left-wing Politics.

Description The FR-L-MIGR-TWIT Corpus is part of the <a href="https://www.ortolang.fr/market/corpora/migr-twit-corpus">MIGR-TWIT CORPORA</a>, diachronic bilingual corpus of Tweets about the topic of migration in Europe. Within the framework of the collaborative research project <a href="https://olindinum.huma-num.fr/recherche/">OLiNDiNUM</a> (Observatoire LINguistique du DIscours NUMérique, [Linguistic Observatory of Online Debate]), the MIGR-TWIT Corpora are created with the aim to study the evolution of the public discourse on migration in Europe during the past dozen years from 2011 to 2022. First two components of the corpus represent migration discourse of right-wing politics in France and in the UK. The FR-L-MIGR-TWIT Corpus represents French left-wing politics' migration discourse on Twitter.   Using the Twitter API v2 Academic Research, the Tweets containing at least one occurrence of lexicon derived from a latin root "migr" of migrare are automatically retrieved from 23 Twitter accounts of French left-wing political figures and parties.   Scientific reference :  Jeon, S. (2025). Le discours numérique sur l'immigration en France entre 2011 et 2022. Une analyse de corpus (Online Discourse on Immigration in France between 2011 and 2022. A Corpus Analysis), PhD Thesis, Université de Lille, France. Contents The downloadable version of FR-L-MIGR-TWIT-2011-2022 Corpus contains 32 CSV files (tabular format). The corpus is presented in simplified and complete versions in terms of metadata. The simplified version corresponds to one single file named FR-L-MIGR-TWIT-2011-2022.csv, containing four basic (meta)data, i.e. identifier, text, posting date and username (that is, data__id, data__text, data__created_at and author__name as the table hearder elements). In addition to these four (meta)data, the elaborate version is provided with all Tweet fields information included as a header element, such as the numbers of Replies, Retweets, Likes and Quotes, etc. This version is also available in one single CSV file named FR-L-MIGR-TWIT-2011-2022_meta.csv. Besides, the elaborate version is provided with three CSV Zip files: 7 CSV files in the zip file named FR-L-MIGR-TWIT-YEAR_meta correspond to grouped years (i.e. FR-L-MIGR-TWIT-2011-2016_meta.csv) or each and every year (e.g. FR-L-MIGR-TWIT-2017_meta.csv, and so on) for the last dozen years. 23 files in the zip file named FR-L-NAME-MIGR-TWIT_meta for each and every component of selected French left-wing political figures and parties (e.g. FR-L-Arthaud-TWIT_meta.csv). The zip file named FR-L-MIGR-TWIT-2011-2022_meta contains yearly Tweets of each and every component of political figures and parties. Detailed information of the FR-L-MIGR-TWIT-2011-2022 CORPUS is illustrated below. <ul> <li>Created at: 2023-04-18</li> <li>Language: FR</li> <li>Coverage: 23 user accounts ; 5,636 Tweets ; 169,818 words</li> <li>Time of data collection: start=2011-01-01 ; end=2022-06-30</li> <li>Keywords: words derived from a latine root “migr” of migrare</li> <li>Corpus composition:</li> </ul> <table> <tbody> <tr> <td>   </td> <td> Political Figure/party </td> <td> Type of representative </td> <td> Username </td> <td> migr-Tweets </td> </tr> <tr> <td> 1 </td> <td> Adrien Quatennens </td> <td> PERSON (M) </td> <td> @AQuatennens </td> <td> 315 </td> </tr> <tr> <td> 2 </td> <td> Alexis Corbière </td> <td> PERSON(M) </td> <td> @Alexiscorbiere </td> <td> 209 </td> </tr> <tr> <td> 3 </td> <td> Anne Hidalgo </td> <td> PERSON (F) </td> <td> @Anne_Hidalgo </td> <td> 801 </td> </tr> <tr> <td> 4 </td> <td> Arnaud Montebourg* </td> <td> PERSON (M) </td> <td> @montebourg </td> <td> 7 </td> </tr> <tr> <td> 5 </td> <td> Benoît Hamon </td> <td> PERSON (M) </td> <td> @benoithamon </td> <td> 172 </td> </tr> <tr> <td> 6 </td> <td> Christiane Taubira </td> <td> PERSON (F) </td> <td> @ChTaubira </td> <td> 11 </td> </tr> <tr> <td> 7 </td> <td> Clémentine Autain </td> <td> PERSON (F) </td> <td> @Clem_Autain </td> <td> 102 </td> </tr> <tr> <td> 8 </td> <td> Danièle Obono </td> <td> PERSON (F) </td> <td> @Deputee_Obono </td> <td> 415 </td> </tr> <tr> <td> 9 </td> <td> Esther Benbassa** </td> <td> PERSON (F) </td> <td> @EstherBenbassa </td> <td> 936 </td> </tr> <tr> <td> 10 </td> <td> François Hollande </td> <td> PERSON (M) </td> <td> @fhollande </td> <td> 28 </td> </tr> <tr> <td> 11 </td> <td> François_Ruffin </td> <td> PERSON (M) </td> <td> @Francois_Ruffin </td> <td> 19 </td> </tr> <tr> <td> 12 </td> <td> Jean-Luc Mélenchon </td> <td> PERSON (M) </td> <td> @JLMelenchon </td> <td> 240 </td> </tr> <tr> <td> 13 </td> <td> Manon Aubry </td> <td> PERSON (F) </td> <td> @ManonAubryFr </td> <td> 182 </td> </tr> <tr> <td> 14 </td> <td> Natalie Arthaud </td> <td> PERSON (F) </td> <td> @n_arthaud </td> <td> 165 </td> </tr> <tr> <td> 15 </td> <td> Philippe Poutou </td> <td> PERSON (M) </td> <td> @PhilippePoutou </td> <td> 83 </td> </tr> <tr> <td> 16 </td> <td> Raphael Glucksmann </td> <td> PERSON (M) </td> <td> @rglucks1 </td> <td> 142 </td> </tr> <tr> <td> 17 </td> <td> Yannick Jadot </td> <td> PERSON (M) </td> <td> @yjadot </td> <td> 374 </td> </tr> <tr> <td> 18 </td> <td> Europe Écologie-Les Verts </td> <td> ORGANIZATION </td> <td> @EELV </td> <td> 484 </td> </tr> <tr> <td> 19 </td> <td> Gauche Républicaine et Socialiste </td> <td> ORGANIZATION </td> <td> @Gauche_RS </td> <td> 73 </td> </tr> <tr> <td> 20 </td> <td> Génération.s </td> <td> ORGANIZATION </td> <td> @GenerationsMvt </td> <td> 165 </td> </tr> <tr> <td> 21 </td> <td> La France Insoumise </td> <td> ORGANIZATION </td> <td> @FranceInsoumise </td> <td> 300 </td> </tr> <tr> <td> 22 </td> <td> Parti Radical Gauche </td> <td> ORGANIZATION </td> <td> @PartiRadicalG </td> <td> 37 </td> </tr> <tr> <td> 23 </td> <td> Parti Socialiste </td> <td> ORGANIZATION </td> <td> @partisocialiste </td> <td> 376 </td> </tr> </tbody> </table> <ul> <li>Political figures and parties, listed in alphabetical order, are selected according to the four criteria: (1) the high number of migr-tweets, (2) the political affiliation, (3) the political careers, that is, the Member of the European Parliament or (4) the presidential candidate during the period between 2011 and 2022. These four criteria are not mutually exclusive.</li> <li>As part of a doctoral thesis (<a href="https://theses.fr/s360032">Jeon, 2025</a>), the FR-L-MIGR-TWIT and FR-R-MIGR-TWIT corpora are compiled, annotated and analyzed through a comparative discourse analysis approach, with the aim to study the semantic construction of migr-lexicon over the period between 2011 and 2022.</li> <li>*One migration Tweet retrieved from the user account @montebourg for the year of 2019 was removed and is not included in his 7 migr-tweets because it refers to the issue of the migration of honey bees.</li> <li>**We later added the user account @EstherBenbassa represented by Esther Benbassa, senator and former member of political party Europe Écologie-Les Verts (representative of the user account @EELV), because of the high number of her migr-tweets that were retweeted by @EELV.</li> </ul> The MIGR-TWIT Corpus consists of three subcorpora for a total amount of 23,869 Tweets and 703,016 words: <ul> <li>FR-R-MIGR-TWIT-2011-2022 Corpus: French Right-wing politics' migr-tweets</li> <li>UK-R-MIGR-RA-TWIT-2011-2022 Corpus: British Right-wing politics' migr-tweets</li> <li>FR-L-MIGR-TWIT-2011-2022 Corpus: French Left-wing politics' migr-tweets </li> </ul>

Overview of surveys on migration aspirations, plans, and intentions.

This is a dataset of metadata on surveys. It is the first comprehensive overview of existing survey data on migration aspirations, plans and intentions, with recorded metadata on geographic and temporal coverage, survey population, sample size, and other characteristics.

opencc-by-4.0Aug 2023View details →

MCMC simulations from the posterior distributions of European migration flows

This folder contains three RData files each containing MCMC simulations from the posterior distributions of a Bayesian hierarchal model used to estimate European migration flows, developed as part of the project Quantifying Migration Scenarios for Better Policy (QuantMig, <a href="https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.quantmig.eu%2F&data=05%7C01%7CP.W.Smith%40soton.ac.uk%7Cc166e7bff7f840a7983b08db94af1244%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C638267252014422806%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=yMDYBngYz%2BnzvXmNj6MqseYwso0ICNbREE8TmqQ%2BRJ0%3D&reserved=0">www.quantmig.eu</a>); see Aristotelous, Smith and Bijak (2022) for details. The first set of estimates are disaggregated by origin, destination and time, a breakdown which we denote as ODT. The second and third sets of estimates are again disaggregated by origin, destination and time, but they are additionally disaggregated by other factors. The second set is further disaggregated by age and sex and the third by just birth region. We respectively denote these breakdowns as ODAST and ODBT. Also, included in this folder is an R script to calculate summaries of these posterior distributions (means, and lower and upper quartiles) and output them to csv files, which are also in the folder. For further details, see deliverable_6_4_v1_2.pdf also in the folder.

opencc-by-4.0Dec 2022View details →

Space weather disrupts nocturnal bird migration

Our paper tests for the effects of space weather-induced geomagnetic disturbances on radar-detected nocturnal bird migration. We find evidence for a ~10% decrease of migration intensity after controlling for weather variables and spatiotemporal autocorrelation, and also for a decrease in the effort birds spent flying against the wind in the fall, especially under overcast conditions. This repository provides the data and the code used to arrive at these conclusions and plot the main results. Weather radar data was processed from the NOAA NEXRAD network, weather data was accessed from the North American Regional Reanalysis, and magnetometer data was accessed from the SuperMAG inventory.

opencc-by-4.0Sep 2023View details →

ERK activity in migrating MDA-MB-231 cells (clover-ERK-KTR + sir-DNA)

MDA-MB-231 or U2OS cells stably expressing clover-ERK-KTR were seeded on fibronectin-coated (1 µg /ml) Ibidi 8-well slides (Ibidi) 1 day before imaging. Four hours before imaging, the medium was supplemented with 250 nM sir-DNA (Cytoskeleton) and 25 mM HEPES (Sigma). Cells were then imaged live (37 °C, 5% CO2) using a Nikon Eclipse Ti2-E microscope (Nikon) equipped with an sCMOS Orca Flash4.0 camera (Hamamatsu) and controlled by the NIS-Elements software (Nikon, v 5.11.01). MDA-MB-231 cells were imaged using a 20× Nikon CFI Plan Apo Lambda objective (NA 0.75), either 1 frame per minute for 2 hours or 1 frame every 5 minutes for 17 hours. In these experiments, a camera binning of 2 × 2 was used.  This dataset consists of 20 videos.

Fig. 6. Prochilodus costatus swimming speeds measured a in Upstream and downstream migration speed of Prochilodus costatus (Characiformes: Prochilodontidae) in upper São Francisco basin, Brazil

Fig. 6. Prochilodus costatus swimming speeds measured a. in this study in stretch 2 and b. in the laboratory by Santos et al. (2012). Central points are medians, boxes represent percentiles 25 and 75 and whiskers represent amplitude. Dashed lines separate different kinds of fish movements. BL/s = swimming velocity in standard length of fish per second.

Data_Figure 2_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration

Data of figure 2 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1007_s00018-019-03227-w_CMLS_Fig2). Corresponding raw data obtained from a) Migration potential as four files in CSV format (31003A-179400_ date_examiner_17BHSD12_16_1_1-4. b) mRNA content analyzed by RT-PCR provided as ten files in CSV format (31003A-179400_date_examiner_17BHSD12_1_1-2_1-6) and proliferation investigation on xCELLigence provided as six files in CSV format (31003A-179400_date_examiner_17BHSD12_9_2_1-6). All further experiment related information and subsequent data analysis provided as four meta-data-files (31003A-179400_ date_examiner_17BHSD12_16/1/9_dataset_M_1) as TXT format.

Data_Figure 6_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration

Data of figure 6 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. 6). Corresponding raw data obtained from a1/2) cellomics HTC array scan analysis provided as six files in CSV format (31003A-179400_Date_examiner_17BHSD12_8_6_1-6), b1/2) oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) provided as 10 files in CSV format (31003A-179400_20190521_MT_17BHSD12_10_3-4_1-5); c 1/2 ), cellomics HTC array scan analysis provided as 12 files in CSV format (31003A-179400_Date_examiner_17BHSD12_8_7-8_1-8). d) Western blot and densitometry provided as eight files in CSV format (31003A-179400_Date_examiner_17BHSD12_2_3-4_1-5). All further experiment related information protocols and subsequent data analysis provided as meta-data-files (31003A-179400_date_examiner_17BHSD12_8/10/2_dataset_M_1) as TXT format and (31003A-179400_date_examiner_17BHSD12_2_dataset_M_2-3) as PNG format.

Data_Figure 7_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration

Data of figure 7 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. 7). Corresponding raw data obtained from a1/2) Western blot and densitometry provided as eight files in CSV format (31003A-179400_date_examiner_17BHSD12_2_5-6_1-6); b) mRNA content analyzed by RT-PCR provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_1_6_1-4); c 1/2) cellomics HTC array scan analysis provided as 11 files in CSV format (31003A-179400_Date_examiner_17BHSD12_8_9-10_1-6); d1/2); Western blot and densitometry provided as eight files in CSV format (31003A-179400_date_examiner_17BHSD12_2_7-8_1-6). All further experiment related information protocols and subsequent data analysis provided as meta-data-files (31003A-179400_date_examiner_17BHSD12_2/1/8_dataset_M_1) as TXT format and (31003A-179400_date_examiner_17BHSD12_2_dataset_M_2-3) as PNG format.

Data_Figure 5_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration

Data of figure 5 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. 5). Corresponding raw data obtained from oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) provided as 10 files in CSV format (31003A-179400_20190521_MT_17BHSD12_10_1-2_1-5). All further experiment related information and subsequent data analysis provided as two meta-data-file: (31003A-179400_20190521_MT_17BHSD12_10_1-2_1) as TXT format.