https://researchdata.se/en/catalogue Search results en The dataset consists of extracts from court records from Sunne tingslag in Jämtland from 1840 to 1859. The extracts contain written descriptions of sustenance activities performed by one or more individuals. These source texts have been transcribed and analyzed within the project Gender and Work (phase 3) at Uppsala University and have been selected with the aim of clarifying the context in which individuals and livelihood activities occur. The dataset contains (a) a list of activities described in the court records, with variables specifying who performed the activity, when and where it was performed, and under what circumstances, and (b) transcriptions of the cases in the court records from which the activities are extracted. Source texts and source-based variables have been registered faithfully to the letter primarily by Örjan Kardell and, in a few cases, by Karin Hassan Jansson, both researchers in the project Gender and Work. Quality control has been carried out by Jonas Lindström. The material is searchable in the database GaW: https://www.uu.se/forskning/gender-and-work Mon, 15 Jun 2026 13:05:59 GMT https://researchdata.se/en/catalogue/dataset/2026-122 https://researchdata.se/en/catalogue/dataset/2026-122 Uppsala University Örjan Kardell Karin Hassan Jansson The study covers parliamentary elections to the second chamber from 1887, the first modern election in Swedish history with clearly defined political groups within the electorate, to 1968, the last election with a bicameral system. The aim is to study the change in Swedish voter turnout during this time period, and to see how social structures affect political behavior. The data material contains both political and social data. Tue, 18 Mar 2025 16:57:51 GMT https://researchdata.se/en/catalogue/dataset/snd0140-1 https://researchdata.se/en/catalogue/dataset/snd0140-1 Uppsala University Leif Lewin The data contains an Excel table of 112 shipwrecks in Southern Norway and Western Sweden. The data is systematised using 64 different variables and contains additional information on dating and provenance. The table is organised as a binary indicator matrix. It is applied in a statistical analysis (Falck, T. 2024. The Becoming of Boats. Craft Practices in Southern Norwegian Boatbuilding. 1050 – 1700 CE. PhD Thesis. Stockholm University). To explain the content of the variables, an extract from the thesis is attached (Chapter 3). Here, the use of technical variables in the table is reviewed, defined and discussed. Thu, 07 Nov 2024 17:40:20 GMT https://researchdata.se/en/catalogue/dataset/2024-502 https://researchdata.se/en/catalogue/dataset/2024-502 Stockholm University Tori Falck Economic-demographic panel dataset over the Danish West Indies (current-day US Virgin Islands), 1760-1914. The dataset contains demographic information on the population, and their ownership of property. The dataset has been assembled from primary sources in the Danish National Archive's collection, for more than 50 benchmark years. The dataset contains information about historical individuals, but all individuals are long deceased, so the dataset is in a legal sense not personal data. Wed, 18 Sep 2024 15:20:37 GMT https://researchdata.se/en/catalogue/dataset/2024-75 https://researchdata.se/en/catalogue/dataset/2024-75 University of Gothenburg Klas Rönnbäck Stefania Galli Dimitrios Theodoridis The Scanian Economic Demographic Database (SEDD) is based on family reconstitutions for nine rural parishes (Ekeby, Frillestad, Halmstad, Hässlunda, Hög, Kågeröd, Kävlinge, Sireköpinge and Stenestad) and one city (Helsingborg) in Scania, the southernmost county of Sweden, in which information in church records on births, deaths and marriages are linked together to form families. The database is the result of project collaborations between the Centre for Economic Demography (CED) and the Regional Archives in Lund. The co-operation has produced both an event database, in which all basic source material is registered, and an applied research database. The event database is accessible through the Regional Archives in Lund. The description that follows primarily relates to the research database which contains information on five parishes (Halmstad, Hög, Kågeröd, Kävlinge and Sireköpinge). From the late 19th century onwards, one of the rural parishes was transformed from a minor rural village to a small industrial town (Kävlinge), while the others preserved their rural characters. At its present stage, the research database includes data for 104 000 individuals from 1646 up to 1968, to which data from central registers for the period up to 2011 has been added. Data for the city of Landskrona are presently digitized. The database contains a variety of information on individual as well as household/family level and each individual in the database is under observation from birth/ in-migration and throughout the life span/ until an out-migration occurs. The fact that the database covers almost four centuries and that it combines economic and demographic data in one database has made it unique by Swedish comparisons. Demographic variables include: Births Deaths Cause of death Marriages In-migration Out-migration Birth-order Socioeconomic and health variables include: Occupation Land holdings (farm size etc.) Type of residence (farm, croft, cottage etc.) Property ownership (freehold, crown, noble) Income Height Health at birth Health at mustering Household variables include: House-hold size Typology of house-hold members (servants, nuclear family, lodgers etc.) Purpose: The purpose of the Scanian Economic Demographic Database (SEDD) is to function as a research infrastructure for economic as well as demographic research. Mon, 01 Nov 2021 15:13:11 GMT https://researchdata.se/en/catalogue/dataset/ext0156-1 https://researchdata.se/en/catalogue/dataset/ext0156-1 Lund University Martin Dribe Patrick Svensson Tommy Bengtsson Information about weather-related conditions in Sweden during the period 1500-1870 has been extracted from various historical documents. The information is presented as cited text, together with the date and geographical region for which the information is relevant. Since the database essentially consists of excerpts from different historical documentary sources of various kinds (Institutional chronicles, accountings, private weather diaries etc) the language is Swedish, though citations of original texts are occasionally given in other languages whenever relevant and when other languages were originally used. See the Swedish description for more information. The database contains a large number of contemporary descriptions for the period 1500–1870 from various types of documents — direct observations in diaries, administrative notes on activities that have been affected by weather conditions, letter collections, newspaper articles, etc. — of weather conditions in Sweden within current borders. ** Database file structure and content: The database is collected in a spreadsheet (xlsx). The same information is also presented in a semicolon-separated text file (csv) (character set: Western Europe, ISO-8859-15 / EURO). File size: 1.6 MB (xlsx) and 4.1 MB (csv). The number of file rows, including the title row, is 20896. In addition to the data file itself, the dataset also contains a source list in xlsx format. The file has two pages: "Otryckta källor" (unprinted sources) and "Bibliografi" (bibliography). The same information is also presented in two comma-separated csv files (character set: Western Europe, ISO-8859-15 / EURO). The main database file contains information in eight columns with the following headings (here also translated to English): * År (year) * Månad (month) * Dag (day) * Annan tidsangivelse (other time indication) * Område (area) * Väder (weather) * Källa (source) * Ytterligare hänvisning/information (additional reference / information) The database main language is Swedish. Quotations of writings in old language are generally preserved as in their original spellings. For a more detailed description of the database content, please see the Swedish data description. ** Main sources and collection method: The data collection was performed by systematically reading through available archive material and literature relevant to the subject. Information that was considered to be of value for climate history was entered into the database, either as a quotation or in the form of comments, together with an indication of the source material for each individual item (row) in the database. Each such item refers to a more or less specified geographical location and either a specific date or an approximate time period. Data have been collected along three main channels: unprinted archive material, printed sources and literature. Unprinted archive material has been retrieved mainly from the National Archives. For the period 1500–1540, data comes mainly from the database of the "Svenskt diplomatariums huvudkartotek" (Sdhk) (Swedish diplomatarium's main file). For the time thereafter, data from, among others, the "Riksregistraturet" (national registry), a collection of copies of letters issued by the "kungliga kansliet" (royal chancellery), has been used. Several unprinted letters, diaries, accounts and reports have also been searched. A particularly extensive individual source is Märta Helena Reenstierna's (known as the Årsta lady) diaries from Årsta Gård in Stockholm, written during the period 1793–1839 and kept in the Nordic Museum's archives. These diaries contain a large number of notes on local weather conditions. More than half of all individual entries in the database originate from the Årsta diaries. Printed sources include editions of source publications such as Gustav Vasa's (King Gustav I of Sweden) letters in 29 volumes. There are also the Royal Swedish Academy of Sciences' Transactions which, among other things, contain meteorological observations. The category literature contains a number of local historical presentations. There are also early attempts at climate historical overviews and interpretations. Corporate history and military history literature have also been used. ** The roles of primary researchers during the construction of the database The main part of the work with building up the database was done during the period 2006–2010 by Johan Söderberg, Lotta Leijonhufvud, Dag Retsö and Ulrica Söderlind at the Department of Economic History, Stockholm University, under the leadership of Johan Söderberg. Curation of the database prior to publication in SND was carried out during 2019–2020 by Lotta Leijonhufvud in collaboration with Anders Moberg, Department of Physical Geography, Stockholm University. Previous, unpublished, versions of the database have been used in the following studies (see list of publications): - Edvinsson et al. (2009). Väder, skördar och priser i Sverige. - Leijonhufuvud et al. (2010). Five centuries of Stockholm winter/spring temperatures reconstructed from documentary evidence and instrumental observations. - Wetter et al. (2014). The year-long unprecedented European heat and drought of 1540 – a worst case. - Retsö (2015). Documentary evidence of historical floods and extreme rainfall events in Sweden 1400–1800. Mon, 01 Feb 2021 08:43:12 GMT https://researchdata.se/en/catalogue/dataset/snd1216-1 https://researchdata.se/en/catalogue/dataset/snd1216-1 Stockholm University Johan Söderberg Lotta Leijonhufvud Dag Retsö Ulrica Söderlind Anders Moberg The Repository and Workspace for Austroasiatic Intangible Heritage (RWAAI) is a digital multimedia resource dedicated to the maintenance of research materials documenting the intangible heritage of the Austroasiatic communities of Mainland Southeast Asia and India. It is the first resource dedicated to a specific language family in this diverse and dynamic region. RWAAI serves to: Consolidate both legacy and newly created materials and expertise into a unique, persistent and accessible multidisciplinary resource documenting the languages and cultures of Austroasiatic-speaking communities. Provide a digital workspace for contributors where they can store, curate and reuse their research collections. Facilitate the presentation of intangible heritage collections for fellow researchers, community members, and the general public by assisting depositors in the digitisation, cataloguing and presentation of their research collections. Bring together an international network of Austroasiatic scholars to generate new initiatives in the evolving field of eScience. Provide capacity building in MSEA to promote the documentation of intangible heritage, and sustainable archiving technology and data management. Purpose: To maintain research materials documenting the intangible heritage of the Austroasiatic communities of Mainland Southeast Asia and India. Tue, 15 Dec 2020 14:01:56 GMT https://researchdata.se/en/catalogue/dataset/ext0056-1 https://researchdata.se/en/catalogue/dataset/ext0056-1 Lund University Niclas Burenhult Nicole Kruspe See description in Swedish. The ZIP file contains data in the form of four Shape files with information on trenches, features and other metadata from the archaeological excavation. Fri, 30 Oct 2020 10:42:34 GMT https://researchdata.se/en/catalogue/dataset/snd2409-1 https://researchdata.se/en/catalogue/dataset/snd2409-1 Uppsala University This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh). For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file. Purpose: This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh). Wed, 19 Feb 2020 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd1148-1 https://researchdata.se/en/catalogue/dataset/snd1148-1 Lund University Per F. Andersson Thomas Brambor The data contains inequality measures at the municipality-level for 1892 and 1871, as estimated in the PhD thesis "Institutions, Inequality and Societal Transformations" by Sara Moricz. The data also contains the source publications: 1) tabel 1 from “Bidrag till Sverige official statistik R) Valstatistik. XI. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1892” (biSOS R 1892) 2) tabel 1 from “Bidrag till Sverige official statistik R) Valstatistik. II. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1871” (biSOS R 1871) --------------------------------------------- moricz_inequality_agriculture.csv --------------------------------------------- A UTF-8 encoded .csv-file. Each row is a municipality of the agricultural sample (2222 in total). Each column is a variable. R71muncipality_id: a unique identifier for the municipalities in the R1871 publication (the municipality name can be obtained from the source data) R92muncipality_id: a unique identifier for the municipalities in the R1892 publication (the municipality name can be obtained from the source data) agriTop1_1871: an ordinal measure (ranking) of the top 1 income share in the agricultural sector for 1871 agriTop1_1892: an ordinal measure (ranking) of the top 1 income share in the agricultural sector for 1892 highestFarm_1871: a cardinal measure of the top 1 person share in the agricultural sector for 1871 highestFarm_1871: a cardinal measure of the top 1 person share in the agricultural sector for 1892 --------------------------------------------- moricz_inequality_industry.csv --------------------------------------------- A UTF-8 encoded .csv-file. Each row is a municipality of the industrial sample (1328 in total). Each column is a variable. R71muncipality_id: see above description R92muncipality_id: see above description indTop1_1871: an ordinal measure (ranking) of the top 1 income share in the industrial sector for 1871 indTop1_1892: an ordinal measure (ranking) of the top 1 income share in the industrial sector for 1892 --------------------------------------------- moricz_R1892_source_data.csv --------------------------------------------- A UTF-8 encoded .csv-file with the source data. The variables are described in the adherent codebook moricz_R1892_source_data_codebook.csv. Contains table 1 from “Bidrag till Sverige official statistik R) Valstatistik. XI. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1892” (biSOS R 1892). SCB provides the scanned publication on their website. Dollar Typing Service typed and delivered the data in 2015. All numerical variables but two have been checked. This is easy to do since nearly all columns should sum up to another column. For “Folkmangd” (population) the numbers have been corrected against U1892. The highest estimate of errors in the variables is 0.005 percent (0.5 promille), calculated at cell level. The two numerical variables which have not been checked is “hogsta_fyrk_jo“ and “hogsta_fyrk_ov“, as this cannot much be compared internally in the data. According to my calculations as the worst case scenario, I have measurement errors of 0.0043 percent (0.43 promille) in those variables. --------------------------------------------- moricz_R1871_source_data.csv --------------------------------------------- A UTF-8 encoded .csv-file with the source data. The variables are described in the adherent codebook moricz_R1871_source_data_codebook.csv. Contains table 1 from “Bidrag till Sverige official statistik R) Valstatistik. II. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1871” (biSOS R 1871). SCB provides the scanned publication on their website. Dollar Typing Service typed and delivered the data in 2015. The variables have been checked for accuracy, which is feasible since columns and rows should sum. The variables that most likely carry mistakes are “hogsta_fyrk_al” and “hogsta_fyrk_jo”. Wed, 10 Apr 2019 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd1098-1 https://researchdata.se/en/catalogue/dataset/snd1098-1 Lund University Sara Moricz