cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5878/ywxf-f380
title: Tokenized product information for centrally approved medicines within EU (extracted May 3, 2022)
title: Tokeniserad produktinformation för centralt godkända läkemedel inom EU (extraherad 2022-05-03)

description: The text corpus was compiled on May 3, 2022, by scripted downloading of all available English language product information files for all centrally approved medicinal products within the EU, from the European Medicines Agency website. Package Leaflet (PL) and Summary of product characteristics (SmPC) documents for each medicinal product, excluding multiplicate documents for medicinal products with more than one strength or pharmaceutical preparation, were used. The PDF files were scraped using the pdfplumber version 0.6.1 package in Python 3.8.10 to extract all text except page numbering, headers, and footers. 

Line breaks and special characters (excluding punctuation characters) were removed, and punctuation was added to sentences where this was missing (such as headings) to avoid false aggregation. All paragraphs were tokenized on a sentence level using the Natural Language Toolkit (NLTK) version 3.7 tokenizer

This database contains sentence-level tokenized product infomation from all centrally approved medicinal products within the EU (May 3, 2022) including Summary of product characteristics (SmPC) and Package leaflet (PL) documents.

A total of 1258 medicinal products were initially included, of which 5 were subsequently excluded due to document compatibility issues. From these, a total of 783 K sentences were extracted from PL and SmPC documents.
description: Tokeniserad produktinformation för centralt godkända läkemedel inom EU. Se engelsk beskrivning för detaljer om hur data kompilerats och bearbetats.

Databasen innehåller tokeniserad produktinformation på meningsnivå, extraherad från alla centralt godkända läkemedel inom EU (2022-05-03). Se engelskspråkig beskrivning för ytterligare detaljer.
DOI: 10.5878/sxqq-ck10
title: Evaluation of brownification mitigation potential of a wetland constructed in a managed Swedish forest - Osby
title: Utvärdering av begränsningspotentialen för brunifiering av en våtmark anlagd i en svensk produktions skog - Osby

description: Material collected in Jonstorp north of Osby with the aim of studying how a constructed wetland reduces the colour of the water. Contains chemical and hydrological data collected in field. Chemical data consists of analysis results from an accredited laboratory and hydrological data is reproduced in Excel format.

Data from the projekt Evaluation of brownification mitigation potential of a wetland constructed in a managed Swedish forest.

Chemical_data.xlsx contains a summary over the chemical analyses made by of the accredited lab Synlab.
Flow_recording.xlsx contains the elevation recorded by ISCO autosampler at inflow to the wetland and actual flow measurement to convert the elevation to a flow. 
Trace_data.xlsx contains the reading of rhodamin at the outflow point.

csv_data.zip contains the excel-files converted to csv format.
description: Material insamlad i Jonstorp norr om Osby med syftet att studera hur en konstruerad våtmark minska färgen på vattnet. Innehåller kemiska och hydrologisk data insamlad i fält. Kemiska data består av analysresultat från ackrediterat laboratorium och hydrologisk data återges i Excel-format.

Data från projektet Utvärdering av begränsningspotentialen för brunifiering av en våtmark anlagd i en svensk produktions skog.

Chemical_data.xlsx innehåller sammanställning över de kemiska analyser som gjorts av det ackrediterade labbet Synlab.
Flow_recording.xlsx innehåller höjden registrerad av ISCO autosampler vid inflöde till våtmarken och faktisk flödesmätning för att omvandla höjden till ett flöde.
Trace_data.xlsx innehåller avläsningen av rhodamin vid utflödespunkten.

csv_data.zip innehåller excel-filerna konverterade till csv-format.
DOI: 10.7807/immo:red:wm:v4
title: RWI Real Estate Data- Wohnungsmiete
title: RWI Real Estate Data- Apartments for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.7807/immo:red:wm:v5.1
title: RWI Real Estate Data - Wohnungsmiete
title: RWI Real Estate Data - Apartments for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.5878/mcq7-je86
title: The Performance Information Demand Dataset: Swedish Governments’ Request for Performance Information from Central Government Agencies 1993 – 2017
title: Svenska regeringars krav på återrapportering från statliga myndigheter 1993 – 2017

description: The data in this database has been collected mainly from appropriation directives issued by the Swedish government to 188 central government agencies 1993 to 2017. It contains variables that describe the formal steering tools applied by governments, such as choice of management model, financial steering, organizational steering, performance information demands, etc. It also contains information about agency characteristics and the governments in office.
description: Databasen bygger i huvudsak på regleringsbrev utfärdade av svenska regeringar till statliga förvaltningsmyndigheter perioden 1993 – 2017. Här finns variabler som beskriver regeringars formella styrning av 188 statliga myndigheter. De typer av styrning som ingår är ledningsmodell, finansiell styrning, organisationsstyrning, återrapporteringskrav med mera. Datasetet innehåller också information om myndigheternas egenskaper och om regeringarna och statsråden som styr.
DOI: 10.7807/immo:red:wm:v5
title: RWI Real Estate Data - Wohnungsmiete
title: RWI Real Estate Data - Apartments for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.7807/immo:red:wm:v6.1
title: RWI Real Estate Data - Wohnungsmiete
title: RWI Real Estate Data - Apartments for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.5878/a8vn-at39
title: Data from a plot experiment in Lönnstorp, Sweden intercropping oilseed rape (OSR) with various legumes to assess pests, pathogens and weeds 2019-2020
title: Data från ett plottexperiment i Lönnstorp, Sverige, som blandar raps (OSR) med olika baljväxter för att bedöma skadedjur, patogener och ogräs 2019-2020

description: Data was generated from a plot experiment in Lönnstorp, Sweden intercropping oilseed rape (OSR) with various legumes to assess pests, pathogens and weeds 2019-2020. For more infromation, see dataset description.

Data was generated from a plot experiment in Lönnstorp, Sweden intercropping oilseed rape (OSR) with various legumes to assess pests, pathogens and weeds 2019-2020.Includes damage from slugs and cabbage stem flea beetle (CSFB) in September and November 2019. CSFB larval abundance in March 2020. Weed biomass in May 2020 and yield of OSR and legumes in August 2020. Pollen beetle and Brassica pod midge damage in June 2020. Faba rust in July 2020. It also includes slug damage to OSR, spring faba and clover in a follow up cage trial. The associated manuscript was submitted to Frontiers in Agronomy in September 2021 with the title: The potential of intercropping for multifunctional crop protection in oilseed rape (Brassica napus L.).
description: Data genererades från ett plottexperiment i Lönnstorp, Sverige, som blandar raps (OSR) med olika baljväxter för att bedöma skadedjur, patogener och ogräs 2019-2020. För mer information, se beskrivning av dataset.

Data was generated from a plot experiment in Lönnstorp, Sweden intercropping oilseed rape (OSR) with various legumes to assess pests, pathogens and weeds 2019-2020. Includes damage from slugs and cabbage stem flea beetle (CSFB) in September and November 2019. CSFB larval abundance in March 2020. Weed biomass in May 2020 and yield of OSR and legumes in August 2020. Pollen beetle and Brassica pod midge damage in June 2020. Faba rust in July 2020. It also includes slug damage to OSR, spring faba and clover in a follow up cage trial. The associated manuscript was submitted to Frontiers in Agronomy in September 2021 with the title: The potential of intercropping for multifunctional crop protection in oilseed rape (Brassica napus L.).
DOI: 10.7807/immo:red:wm:v6
title: RWI Real Estate Data - Wohnungsmiete
title: RWI Real Estate Data - Apartments for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.7807/immo:red:wm:v7
title: RWI Real Estate Data - Wohnungsmiete
title: RWI Real Estate Data - Apartments for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.5878/90xz-6v16
title: The Regional Western Sweden SOM Survey 2021
title: Den västsvenska SOM-undersökningen 2021
title: Väst-SOM 2021

description: The Regional Western Sweden SOM Survey has been conducted yearly since 1992, but was initially limited to residents of Gothenburg and its surrounding municipalities. In 1998, the survey was extended to include the entire Västra Götaland County plus the municipality of Kungsbacka.

The purpose of the regional surveys is to enable SOM researchers to study attitudes and behaviour linked to local and regional issues. They emphasise public services and media, although many of the questions are identical with those used in National SOM in order to make the answers comparable both between the regions and with Sweden at large.
description: Den västsvenska SOM-undersökningen har genomförts varje höst sedan 1992. Fram till 1997 omfattade studien Göteborg med kranskommuner. Undersökningen utökades sedan till att omfatta hela Västra Götalands län samt Kungsbacka kommun. Studien genomförs i samverkan med Västra Götalandsregionen och är en del av regionens långsiktiga utvärderingsarbete.

Flertalet frågor har ställts i många år och svaren bidrar till att bibehålla tidsserier som sträcker sig från undersökningens början 1992. Frågorna har tonvikt på attityder och beteenden inom områdena offentlig service och medier. Många av frågorna är identiska med frågor i den nationella SOM-undersökningen vilket ger möjlighet att jämföra data både på regional och på nationell nivå.
DOI: 10.7807/immo:red:wm:v8
title: RWI Real Estate Data - Wohnungsmiete
title: RWI Real Estate Data - Apartments for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all appartments for rent at ImmobilienScout24
description: full sample
DOI: 10.7807/immo:red:wm:v11
title: RWI Real Estate Data - Wohnungsmiete
title: RWI Real Estate Data - Apartments for Rent
title: Version 11
DOI: 10.7807/immo:red:wm:v12
title: RWI Real Estate Data - Apartments for Rent
title: SUF On-site

description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: Sampled Universe: All houses for sale at ImmobilienScout24

Sampling: Full sample
description: Collection Mode: Observation.ComputerBased
description: Unit Type: HousingUnit

Number of Units: 26041713
DOI: 10.5878/ddse-v797
title: 3D dataset from "Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models"
title: 3D dataset from "Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models"

description: This dataset has been produced according to the method described in the paper "Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models". This is a 3D global dataset of the concentrations of sulfurdioxide in the stratosphere after the volcanic eruption from Sarychev the 11-21 of June 2009.

Data of SO2 concentrations in the stratosphere after the Sarychev 2009 eruption. The data has been put together from the satellite instruments CALIOP and AIRS with the aid of FLEXPART. The data can be used in models as emissions of SO2 from the 2009 Sarychev eruption.
description: Detta dataset har producerats utifrån metoden beskriven i artikeln "Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models". Datat är ett globalt 3D dataset över koncentrationer av svaveldioxid i stratosfären efter vulkanutbrottet från Sarychev den 11-21 juni 2009.

Data över SO2 koncentrationer i stratosfären efter vulkanutbrottet från Sarychev 2009. Datat har tagits fram utifrån data från satellit instrumenten CALIOP och AIRS med hjälp av FLEXPART. Datat kan användas i modeller som utsläpp av SO2 från Sarychev utbrottet.
DOI: 10.5878/hhan-ac13
title: Code for: Identifying the Relationship Between Earnings and Prices
title: Code for: Identifying the Relationship Between Earnings and Prices

description: The files contain code for R, giving possibility to apply the method presented in the article: Starica, C., & Marton, J. (2024). Identifying the relationship between earnings and prices. The Accounting Review (forthcoming).
description: Filerna innehåller kod för R, och ger möjlighet att tillämpa metoden som presenteras i artikeln: Starica, C., & Marton, J. (2024). Identifying the relationship between earnings and prices. The Accounting Review (forthcoming).
DOI: 10.7807/immo:redc:suf:v3
title: RWI Commercial Real Estate Data - SUF
title: SUF Off-site

description: ImmoScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the RWI-GEO-REDC data only cover commercial properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the property but also automatically generated items like the duration of the advertisement spell.
description: Sampled Universe: All commercial properties listed on ImmoScout24

Sampling: full sample
description: Collection Mode: Observation.ComputerBased
description: Unit Type: HousingUnit

Number of Units: 4848857
DOI: 10.5878/786j-n432
title: Swedish Sign Language as Second Language Corpus
title: Korpus i svenskt teckenspråk som andraspråk

description: Swedish Sign Language as Second Language Corpus includes video recordings and documentation of sign language texts, produced by adult hearing second language learners of Swedish Sign Language.

The data selection consists of seven video sequences (.mp4 format) created here with the purpose of serving as illustrative examples for a scientific article on self-repair in L2 learners of Swedish Sign Language.
description: Korpus i svenskt teckenspråk som andraspråk omfattar inspelade videomaterial och dokumentation av teckenspråkstexter, producerade av vuxna hörande andraspråksinlärare.

Dataurvalet består av sju videosekvenser (.mp4-format) som tagits fram här i syfte att tjäna som illustrativa exempel till en vetenskaplig artikel om självreparation hos L2-inlärare av svenskt teckenspråk.
DOI: 10.7807/immo:redc:suf:v4
title: RWI Commercial Real Estate Data - SUF
title: SUF Off-site

description: ImmoScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the RWI-GEO-REDC data only cover commercial properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the property but also automatically generated items like the duration of the advertisement spell.
description: Sampled Universe: All commercial properties listed on ImmoScout24

Sampling: Full sample
description: Collection Mode: Observation.ComputerBased
description: Unit Type: HousingUnit

Number of Units: 5095277