https://researchdata.se/en/catalogue Search results en One billion Swedish words from 1950 and onwards. Please reference the dataset using the following reference: Stian Rødven Eide, Nina Tahmasebi, Lars Borin. 2016. The Swedish Culturomics Gigaword Corpus: A One Billion Word Swedish Reference Dataset for NLP Code to extract data from the corpus, as well as usage instructions, can be downloaded from https://svn.spraakbanken.gu.se/sb-arkiv/tools/gigaword/ Sentences per year for each genre fiction government news science socialmedia 1950 - 420 413 - - - 1960 - 424 920 - - - 1965 - - 53 624 - - 1970 - 459 867 - - - 1976 - - 89 175 - - 1977 499 030 - - - - 1980 - 534 194 - - - 1981 307 597 - - - - 1987 97 398 - 364 226 - - 1990 - 551 988 - - - 1991 330 127 - - - - 1992 - - - 44 538 - 1994 - 391 882 1 538 748 - - 1995 - - 514 797 - - 1996 - - 449 148 118 542 - 1997 - - 980 230 125 096 - 1998 - - 804 178 121 895 1 638 1999 194 699 - - 113 568 40 099 2000 - - - 109 289 12 945 2001 - - 1 393 257 115 012 20 006 2002 - 41 066 2 610 740 110 830 191 234 2003 - - 2 095 700 96 778 16 382 2004 - - 2 094 251 103 881 487 447 2005 - - 3 013 787 85 023 985 094 2006 - 50 684 2 634 386 - 408 425 2007 - - 2 530 808 523 102 1 638 311 2008 - - 2 607 657 - 754 801 2009 - - 2 795 855 - 605 194 2010 - - 2 635 687 - 790 148 2011 - - 2 973 928 - 957 017 2012 - - 2 681 277 673 820 1 589 999 2013 - - 2 501 426 - 594 982 2014 - - - - 590 146 2015 - - - 12 293 254 187 253 Mon, 01 Jan 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-3wmv-1z09 https://researchdata.se/en/catalogue/dataset/doi-10-23695-3wmv-1z09 University of Gothenburg Rødven-Eide, Stian Since 1956 a election study have been carried out in conjunction with every parliamentary election in Sweden. Likewise studies have been carried out in conjunction with the two referenda that have taken place since then. In 1957 a referendum on the general supplementary pension scheme (ATP) took place. The respondents were questioned three times, two interviews were held before the day of the referendum and a mail survey were sent to them after the referendum. The study contains questions on the general supplementary pension scheme, national basic pension, opinion of the three proposals, sources of information, and newspaper reading. Apart from the questions concerning the referendum, the study examines Swedish national defence by including questions about the war risk and the atomic bomb. Purpose: Explain why people vote as they do and why an election ends in a particular way. Track and follow trends in the Swedish electoral democracy and make comparisons with other countries. Thu, 01 Jan 1987 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd0208-1 https://researchdata.se/en/catalogue/dataset/snd0208-1 University of Gothenburg Bo Särlvik Jörgen Westerståhl Archaeological assessments between the Braskens bridge and the Kallerstad roundabout - National highway 35, the East link The ZIP-file contains five Shape files with information on trenches, ancient monuments, archaeological finds and other data from the archaeological survey, as well as one file in MS Access format. Wed, 19 Nov 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2433-1 https://researchdata.se/en/catalogue/dataset/snd2433-1 Uppsala University The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey. Wed, 30 Apr 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2304-1 https://researchdata.se/en/catalogue/dataset/snd2304-1 Uppsala University This is a dataset with XRF and XRD scanning of 16 healthy mouse bones. The raw data is seperated into scans in the following manner: 6 frontal sections of from female mice sacrificed at an age of 24 weeks were scanned, they are seperated in the following scans (one line per sample): 8340—8344 382—390 8346–8349 8350–8354 391–394,399–401 8355–8360 Analysis based on these scans are collected in the files named "WT_F_24w.h5" (one with azimuthal resolved fitting, one with fitting in the scattering direction) 4 frontal sections of from female mice sacrificed at an age of 36 weeks were scanned, they are seperated in the following scans (one line per sample): 8461–8469 8470–8476 8477–8484 8557–8563 Analysis based on these scans are collected in the files named "WT_F_36w.h5" (one with azimuthal resolved fitting, one with fitting in the scattering direction) 6 frontal sections of from male mice sacrificed at an age of 36 weeks were scanned, they are seperated in the following scans (one line per sample): 8381–8385 8386–8392 8393–8399 8549–8556 409–414 445–452 Analysis based on these scans are collected in the files named "WT_M_36w.h5" (one with azimuthal resolved fitting, one with fitting in the scattering direction) Scans 357 and 8332 are the scans of LaB6 that the integrations are based on. The poni files are included as attatchments to those files. Scans with a number above 8000 are integrated with the poni from 8332. Scans with a number below 8000 are integrated with the poni from 357. Wed, 01 Jan 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-48391-d7dcf27a-5f2f-4dad-b8f2-d7a54c105815 https://researchdata.se/en/catalogue/dataset/doi-10-48391-d7dcf27a-5f2f-4dad-b8f2-d7a54c105815 Lund University Christensen, Thorbjørn The Stockholm-Umeå Corpus (SUC) is a collection of Swedish texts from the 1990's, consisting of one million words in total. The corpus is balanced, meaning that it contains various text types and stylistic levels. The texts are annotated with part-of-speech tags, morphological analysis and lemma (all that can be considered gold standard data), as well as some structural and functional information. Version 1.0 was developed in co-operation between Gunnel Källgren at Stockholm University and Eva Ejerhed at Umeå University and was made available in 1997 by the department of linguistics at Stockholm University. Version 2.0 was made available in 2006 by Sofia Gustafsson Capkova and Britt Hartmann at the department of linguistics at Stockholm University. It contains the same texts as SUC 1.0 but is extended with some annotation. Additionally, SUC 2.0 contains bonus materials. TigerSUC is SUC 2.0 converted to TIGER-XML by Martin Volk. StorSUC is additional SUC material of four million words. Version 3.0 is available since 2012. It contains improved annotations, and unannotated texts with seven million words. (For the TigerXML-version, Suc2c, Suc2d, and the DTDs we still refer to version 2.0.) Additional information about the compilation and annotation of SUC can be found in the SUC 2.0 manual [PDF]. Språkbanken distributes SUC 2.0 and SUC 3.0 in two variations: SUC 2.0 and SUC 3.0: freely available for research; require a signed licence SUCX 2.0 and SUCX 3.0: sentences in scrambled order; enriched with automatic annotations; downloadable without restrictions SUCX 3.0 SUCX can be downloaded directly under the open licence CC BY-SA, below. The order of the sentences in this version has been scrambled, and extra annotation has been added automatically by Språkbanken's processing pipeline. The corpus is distributed in Språkbanken's default XML format. The following annotation is taken from the official version: Part of speech (pos attributes of word elements) Morphology (msd attributes) Lemma (lemma attributes) Named entity (SUC 3.0 only; tags, not the tags) All other annotation, like the linking against Saldo, the dependency parses, and alternative named entity annotation ( tags), was created automatically by Sparv. SUCX can also be used in Korp. Mon, 01 Jan 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-9c9f-6132 https://researchdata.se/en/catalogue/dataset/doi-10-23695-9c9f-6132 University of Gothenburg The Stockholm-Umeå Corpus (SUC) is a collection of Swedish texts from the 1990's, consisting of one million words in total. The corpus is balanced, meaning that it contains various text types and stylistic levels. The texts are annotated with part-of-speech tags, morphological analysis and lemma (all that can be considered gold standard data), as well as some structural and functional information. Version 1.0 was developed in co-operation between Gunnel Källgren at Stockholm University and Eva Ejerhed at Umeå University and was made available in 1997 by the department of linguistics at Stockholm University. Version 2.0 was made available in 2006 by Sofia Gustafsson Capkova and Britt Hartmann at the department of linguistics at Stockholm University. It contains the same texts as SUC 1.0 but is extended with some annotation. Additionally, SUC 2.0 contains bonus materials. TigerSUC is SUC 2.0 converted to TIGER-XML by Martin Volk. StorSUC is additional SUC material of four million words. Version 3.0 is available since 2012. It contains improved annotations, and unannotated texts with seven million words. (For the TigerXML-version, Suc2c, Suc2d, and the DTDs we still refer to version 2.0.) Additional information about the compilation and annotation of SUC can be found in the SUC 2.0 manual [PDF]. Språkbanken distributes SUC 2.0 and SUC 3.0 in two variants: SUC 2.0 and SUC 3.0: freely available for research; require a signed licence SUCX 2.0 and SUCX 3.0: sentences in scrambled order; enriched with automatic annotations; downloadable without restrictions SUC 3.0 SUC is freely available for research, but requires that every user signs an individual license with the department of linguistics at Stockholm University. Since December 1st 2008, SUC licensing is delegated to Språkbanken Text at the University of Gothenburg. Appendix 3 of the SUC license [PDF] needs to be printed, signed, and sent either to sb-info@svenska.gu.se or to SUC-licens Språkbanken Text Institutionen för svenska, flerspråkighet och språkteknologi Göteborgs universitet Box 200 405 30 Göteborg When we have received and registered the signed license, we will contact you with a download link. Mon, 01 Jan 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-wy84-ar30 https://researchdata.se/en/catalogue/dataset/doi-10-23695-wy84-ar30 University of Gothenburg The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey. Mon, 28 Apr 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2264-1 https://researchdata.se/en/catalogue/dataset/snd2264-1 Uppsala University Background Studies from high-income countries reported reduced life expectancy in children with cerebral palsy (CP), while no population-based study has evaluated mortality of children with CP in sub-Saharan Africa. This study aimed to estimate the mortality rate (MR) of children with CP in a rural region of Uganda and identify risk factors and causes of death (CODs). Methods and Findings This population-based, longitudinal cohort study was based on data from Iganga-Mayuge Health and Demographic Surveillance System in eastern Uganda. We identified 97 children (aged 2–17 years) with CP in 2015, whom we followed to 2019. They were compared with an age-matched cohort from the general population (n=41 319). MRs, MR ratios (MRRs), hazard ratios (HRs), and immediate CODs were determined. MR was 3952 per 100 000 person years (95% CI 2212–6519) in children with CP and 137 per 100 000 person years (95% CI 117–159) in the general population. Standardized MRR was 25·3 in the CP cohort, compared with the general population. In children with CP, risk of death was higher in those with severe gross motor impairments than in those with milder impairments (HR 6·8; p=0·007) and in those with severe malnutrition than in those less malnourished (HR=3·7; p=0·052). MR was higher in females in the CP cohort, with a higher MRR in females (53·0; 95% CI 26·4–106·3) than in males (16·3; 95% CI 7·2–37·2). Age had no significant effect on MR in the CP cohort, but MRR was higher at 10–18 years (39·6; 95% CI 14·2–110·0) than at 2–6 years (21·0; 95% CI 10·2–43·2). Anaemia, malaria, and other infections were the most common CODs in the CP cohort. Conclusions Risk of premature death was excessively high in children with CP in rural sub-Saharan Africa, especially in those with severe motor impairments or malnutrition. While global childhood mortality has significantly decreased during recent decades, this observed excessive mortality is a hidden humanitarian demand that needs to be addressed. The dataset contains of the following files: - CP_cohort–Children_and_youth_at_the_IM-HDSS.csv - CoD–General_population_of_children_and_youth_IM-HDSS.csv - Variable_list.pdf Details about the variables in the tables can be found in the variable list. Tue, 26 Jan 2021 08:19:07 GMT https://researchdata.se/en/catalogue/dataset/2020-178-1 https://researchdata.se/en/catalogue/dataset/2020-178-1 Karolinska Institutet Hans Forssberg Angelina Kakooza-Mwesige Previous Archaeological Excavations along the 'Ostlänken' Railway Corridor 1965-2012: Södermanland County, Överjärna Parish, Linga 1:8, RAÄ 127 The ZIP file contains digitized drawings and plans in Shape and GeoTIFF format, showing trenches, features, finds and other data and metadata from the archaeological excavation. Tue, 05 Aug 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2366-1 https://researchdata.se/en/catalogue/dataset/snd2366-1 Uppsala University