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    <title>Researchdata.se</title>
    <description>Search results</description>
    <language>en</language>
    <item>
      <title>Arctic Ocean 2016 - 360 Degree Camera Images of Surrounding Ice</title>
      <description>This dataset contains data collected during the Canadian-Swedish expedition Arctic Ocean 2016. The research cruise took place August through September 2016, using the icebreaker Oden.

For ship data from the cruise, as well as graphics and files describing the route, see https://snd.gu.se/sv/catalogue/study/ecds0221

For descriptions of Work Packages and research conducted during the cruise, see the SWEDARCTIC Arctic Ocean 2016 Expedition Report: http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-3475

Additional information on the expedition, including links to publications, is available at http://www.polarforskningsportalen.se/en/arctic/expeditions/arctic-ocean-2016

Work Package: Ice Management

Two panorama cameras with a total of 6 lenses recorded a 360° panorama of the ice conditions during the entire expedition. The images have a resolution of 30 megapixels and cover an area of around 120 meter around the vessel. The images were recorded with a framerate of 0.1 Hz until the 03.09.2016 and after that with 0.2 Hz until the end of the expedition.

Data include:

Image files of 360° panorama of surrounding ice.</description>
      <pubDate>Wed, 22 Mar 2023 10:01:32 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/ecds0239-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/ecds0239-1</guid>
      <dc:publisher>The Norwegian University of Science and Technology (NTNU)</dc:publisher>
      <dc:creator>Hans-Martin Heyn</dc:creator>
    </item>
    <item>
      <title>The Swedish Culturomics Gigaword Corpus</title>
      <description>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</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-23695-3wmv-1z09</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-23695-3wmv-1z09</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Rødven-Eide, Stian</dc:creator>
    </item>
    <item>
      <title>TV4 parliamentary election day survey 1998 - TV4/Demoskop parliamentary election day survey 1998</title>
      <description>The survey was carried out on the day of the parliamentary election, September 20 1998. In a telephone survey a nationally representative sample of voters, Swedish citizens 18 years and older, were interviewed. In all 1 952 persons who had voted in the general election were interviewed. In the survey questions on behaviour in the general election were included.</description>
      <pubDate>Fri, 01 Jan 1999 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0639-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0639-1</guid>
      <dc:publisher>Demoskop</dc:publisher>
      <dc:creator>Arne Modig</dc:creator>
      <dc:creator>Göran Ellung</dc:creator>
    </item>
    <item>
      <title>GIS-material for the archaeological project: Link-Link - Preliminary investigation preceding new public transport system</title>
      <description>The ZIP file consist of GIS files with information about the excavations, findings and other metadata about the archaeological survey.</description>
      <pubDate>Wed, 30 Apr 2014 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd2300-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd2300-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
    </item>
    <item>
      <title>Swedish election study 1964</title>
      <description>The 1964 election study was the start of a three-stage panel in which the same respondents were interviewed at the elections of 1964, 1968 and 1970. Questions were asked about newspaper reading, attention to election programs in television and other features of the election campaign, such as election meetings and election pamphlets, and the consequences of a change in government. The respondents had to point out issues they wanted their party to work for in the immediate future, and also the most important things the party had accomplished earlier. Respondents were also asked to give their opinion on the governments handling of the Wennerström spy-affair, and to give a judgement of the possibilities for young people to get education, the hospitals and medical care, housing conditions, social care for the aged, and unemployment benefits. There were also a number of questions about the general supplementary pension scheme.

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.</description>
      <pubDate>Fri, 01 Jan 1982 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0007-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0007-1</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Bo Särlvik</dc:creator>
    </item>
    <item>
      <title>GIS-material for the archaeological project: New visitors centre at Djurgården - Preliminary investigation preceding planned visitors centre</title>
      <description>The ZIP file consist of GIS files with information about the excavations, findings and other metadata about the archaeological survey.</description>
      <pubDate>Wed, 30 Apr 2014 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd2296-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd2296-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
    </item>
    <item>
      <title>GIS-material for the archaeological project: Ten meters from RAÄ 34 in Malma, Rystad</title>
      <description>The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.</description>
      <pubDate>Tue, 22 Apr 2014 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd2148-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd2148-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
    </item>
    <item>
      <title>CO2 and CH4 concentrations of Swedish streams</title>
      <description>The study includes a compilation of published and unpublished data on low-order stream CO2 and CH4 concentrations. Based on these data together with modelling of gas transfer velocities

Temporal coverage
2005-2016

The study is a scaling exercise to estimate stream CO2 and CH4 emissions of the entire network of low-order streams of Sweden. CO2 and CH4 concentration data is combined with an empirically derived gas transfer model and the characteristics of a virtual stream network of Sweden in order estimate stream CO₂ and CH₄ emissions of all Swedish low-order streams.

See metadata-file for further information.


The dataset was originally published in DiVA and moved to SND in 2024.</description>
      <pubDate>Fri, 27 Oct 2017 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-203</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-203</guid>
      <dc:publisher>Uppsala University</dc:publisher>
      <dc:creator>Marcus Wallin</dc:creator>
    </item>
    <item>
      <title>SUCX 3.0</title>
      <description>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.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-23695-9c9f-6132</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-23695-9c9f-6132</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
    </item>
    <item>
      <title>SUC 3.0</title>
      <description>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.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-23695-wy84-ar30</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-23695-wy84-ar30</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
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