cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5878/1vjn-vq56
title: Experimental evaluation of a rubber-epoxy polymeric system used in the rehabilitation of sewer infrastructure - Dataset
title: Experimental evaluation of a rubber-epoxy polymeric system used in the rehabilitation of sewer infrastructure - Dataset

description: This dataset includes data related to water sorption analyses to support research findings stated in the article: "Experimental evaluation of a rubber-epoxy polymeric system used in the rehabilitation of sewer infrastructure: a case study in Sweden" with the following abstract:

One rehabilitation method used mainly for wastewater sewers in residential buildings involves applying a rubber-epoxy composite to the inner surface of the aged pipeline. In order to understand the material’s performance and stability in operation, during which it is constantly exposed to deteriorative factors, the properties of the material were studied in the laboratory under artificial water and air aging conditions. Changes in the material were monitored by means of tests such as thermal analyses, mechanical testing and water absorption assessment.

The dataset was originally published in DiVA and moved to SND in 2024.
description: This dataset includes data related to water sorption analyses to support research findings stated in the article: "Experimental evaluation of a rubber-epoxy polymeric system used in the rehabilitation of sewer infrastructure: a case study in Sweden" with the following abstract:

One rehabilitation method used mainly for wastewater sewers in residential buildings involves applying a rubber-epoxy composite to the inner surface of the aged pipeline. In order to understand the material’s performance and stability in operation, during which it is constantly exposed to deteriorative factors, the properties of the material were studied in the laboratory under artificial water and air aging conditions. Changes in the material were monitored by means of tests such as thermal analyses, mechanical testing and water absorption assessment.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.57804/hw5p-yy28
title: SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models
title: SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models

description: The data consists of a pdf file with visualizations and an excel file with following tables:

- Table S1 The overview of applications.

- Table S2 SFARI result for 4 genes overlapped the rule-network of case-control study of autism and the SFARI genes databese.

- Table S3 GO over-representation results for the rule-network of case-control study of autism.

- Table S4 Full list of variables used for the rule-based machine learning schema. The list includesmetabolites and pools of metabolites.

- Table S5 List of rules for the R.ROSETTA model including support, accuracy and BH-corrected p-value for each rule.

The dataset was originally published in DiVA and moved to SND in 2024.
description: The data consists of a pdf file with visualizations and an excel file with following tables:

- Table S1 The overview of applications.

- Table S2 SFARI result for 4 genes overlapped the rule-network of case-control study of autism and the SFARI genes databese.

- Table S3 GO over-representation results for the rule-network of case-control study of autism.

- Table S4 Full list of variables used for the rule-based machine learning schema. The list includesmetabolites and pools of metabolites.

- Table S5 List of rules for the R.ROSETTA model including support, accuracy and BH-corrected p-value for each rule.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.48723/kpk8-e336
title: The Pep-study 2019
title: Pep-rapporten 2019

description: The Pep-study is a nation wide survey with the purpose of investigating children and young adults health in regard to food and physical activity. The Pep-study was conducted in 2019 where 29 000 children and young adults between the ages 4-17 were invited to participate in the study. The study is financially supported by Generation Pep and the Swedish Heart Lung Foundation.

Sample size: 29000 
Cause of non response -Respondent unable to participate: 169

The dataset contains three files:
pep19.csv (ca 4.6 MB)
pep19.dta (ca 0.5 MB) 
pep19.sav (ca 9.2 MB)

The survey results and documentation are in Swedish.
description: Pep-rapporten är en nationell enkätundersökning om barn och ungas matvanor och fysiska aktivitet. Syftet med undersökningen är att öka kunskapen om hur hälsoläget ser ut för barn och unga i Sverige. Karolinska Institutet, SOM-institutet vid Göteborgs universitet och organisationen Generation Pep har i samverkan genomfört Pep-rapporten 2019. Pep-rapporten genomfördes för första gången hösten 2019 där 29000 barn i åldrarna 4-17 bjöds in att delta. Undersökningen finansieras av Generation Pep tillsammans med Hjärt-Lungfonden.

Urvalsstorlek: 29000 
Anledning till bortfall -Naturligt bortfall: 169

Datasetet innehåller tre filer:
pep19.csv (ca 4,6 MB)
pep19.dta (ca 0,5 MB) 
pep19.sav (ca 9,2 MB)
DOI: 10.5878/hxe3-ax65
title: CHAMP Operational Scenario generated from OpenAI GPT-4
title: CHAMP Operational Scenario generated from OpenAI GPT-4

description: OpenAI GPT-4 was used to generate a hypothetical scenario for the development of a hypothetical new multi-role airlift. A dataset containing the conversation leading up to this document is available under "Conversation history from Scenario Generation with OpenAI GPT-4"

Document with a hypothetical scenario that has been generated by OpenAI GPT-4

License:
Creative Commons Attribution 4.0 International

The dataset was originally published in DiVA and moved to SND in 2024.
description: OpenAI GPT-4 was used to generate a hypothetical scenario for the development of a hypothetical new multi-role airlift. A dataset containing the conversation leading up to this document is available under "Conversation history from Scenario Generation with OpenAI GPT-4"

Document with a hypothetical scenario that has been generated by OpenAI GPT-4

License:
Creative Commons Attribution 4.0 International

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/yy1k-eg75
title: Dataset containing concentration of accumulated pollutants in 29 stormwater biofilters in the USA
title: Dataset innehållande koncentration av ackumulerade föroreningar i 29 dagvattenbiofilter i USA

description: This dataset presents the concentrations of a wide range of stormwater pollutants accumulated in filter materials and forebays of 29 bioretention systems having been in long-term operation for urban stormwater treatment in Ohio, Michigan, and Kentucky (USA). The study investigates pollutants including metals, microplastics, and organic micropollutants (PAHs, phthalates, alkyl phenols, PCBs, as well as 35 PFASs and their precursors).
description: Denna datauppsättning presenterar koncentrationerna av ett brett spektrum av dagvattenföroreningar som ackumulerats i filtermaterial och förvägar i 29 bioretentionssystem som har varit i långvarig drift för rening av dagvatten i städer i Ohio, Michigan och Kentucky (USA). Studien undersöker föroreningar inklusive metaller, mikroplaster, och organiska mikroföroreningar (PAH, ftalater, alkylfenoler, PCB, såväl som PFAS och deras prekursorer).
DOI: 10.5878/042d-s478
title: Data from various stunning attempts for Nile tilapia (Oreochromis Niloticus)
title: Data från olika bedövningsförsök för Niltilapia (Oreochromis Niloticus)

description: The study that this data supports aimed to evaluate the stunning effectiveness of various stunning attempts on Nile tilapia by measuring brain activity to assess neurological indicators of conscioussness/unconsciousness. Thus, this data set contains raw data from measurements of brain activity using electroencephalography in Nile tilapia. Data were collected before and after stunning attempts using the following stunning methods: Live chilling, mechanical stunning (percussion), electrical stunning and a combinational approach consisting of electrical stunning followed by direct throat cutting and chilling. The data is extracted from Labchart, where data was collected using a Powerlab and a Bioamp. The data contains the mean amplitude during 20-80 s during the 200 ms long light and dark phases. The data set also contains the mean amplitude during 10 s before short electrical exposure as well as the mean amplitude of the signal during the time that the epileptic-like seizure lasted after electrical exposure (i.e., 9-27 s). The data also include information on the time that visually evoked responses (VERs) were lost after stunning, as well as the induction time (when applicable) for the loss of VERs.
description: Studien som datan tillhör syftade till att utvärdera bedövningseffekten av olika bedövningsförsök på Niltilapia genom mätningar av hjärnaktivitet för att studera neurologiska indikatorer på medvetande/medvetslöshet. Datasetet innehåller således rådata från mätningar av hjärnaktivitet med hjälp av elektroencefalografi på Nile tilapia. Datan samlades in innan och efter bedövningsförsök med följande bedövningsmetoder: Nedkylning, mekanisk bedövning (perkussion), elektrisk bedövning och en kombinationsbedövning bestående av elektrisk exponering följt av direkt strupskärning och nedkylning. Datan är extraherad från Labchart, där datan, med hjälp av ett Powerlab och en Bioamp samlats in. Datan innehåller dels medelamplituden under 20-80 s under de 200 ms långa ljusa och mörka faserna. Datasetet innehåller också medelamplituden under 10 s innan kort elektriskt exponeringstid samt medelamplituden på signalen under den tid som det epilepsi-liknande anfallet höll i sig efter elexponering (dvs 9-27 s). Datan innehåller också information om tiden som visuellt framkallade responser (VERs) förlorats efter bedövning, samt induktionstiden (när det är applicerbart) för förlorandet av VERs.
DOI: 10.5878/p6xc-8n77
title: Conversation history from Scenario Generation with OpenAI GPT-4
title: Conversation history from Scenario Generation with OpenAI GPT-4

description: This dataset contains the conversation history where OpenAI GPT-4 is asked to generate a hypothetical scenario for the development of a new hypothetical multi-role tactical airlift. The dataset contains all user input and the OpenAI GPT-4 output, including the graphical representations of the ontology. The generated word-file, containing the generated scenario, is stored in a separate dataset: "CHAMP Operational Scenario generated from OpenAI GPT-4"

Document containing conversation log with OpenAI GPT-4 where a hypothetical scenario is generated. The text and images have been manually copied from the OpenAI webpage, and the formating has been recreated to the greatest extent

License:
Creative Commons Attribution 4.0 International

The dataset was originally published in DiVA and moved to SND in 2024.
description: This dataset contains the conversation history where OpenAI GPT-4 is asked to generate a hypothetical scenario for the development of a new hypothetical multi-role tactical airlift. The dataset contains all user input and the OpenAI GPT-4 output, including the graphical representations of the ontology. The generated word-file, containing the generated scenario, is stored in a separate dataset: "CHAMP Operational Scenario generated from OpenAI GPT-4"

Document containing conversation log with OpenAI GPT-4 where a hypothetical scenario is generated. The text and images have been manually copied from the OpenAI webpage, and the formating has been recreated to the greatest extent

License:
Creative Commons Attribution 4.0 International

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/9k01-fd12
title: Single-point but not tonic cuff pressure pain sensitivity is associated with level of physical fitness: a study of non-athletic healthy subjects
title: Single-point but not tonic cuff pressure pain sensitivity is associated with level of physical fitness: a study of non-athletic healthy subjects

description: Exercise is often used for pain rehabilitation but the link between physical activity level and pain sensitivity is still not fully understood. Pressure pain sensitivity to cuff algometry and conditioned pain modulation (CPM) were evaluated in highly active men (n=22), normally active men (n=26), highly active women (n=27) and normally active women (n=23) based on the Godin Leisure-Time Exercise Questionnaire. Cuff pressure pain sensitivity was assessed at the arm and lower leg. The subjects scored the pain intensity on an electronic Visual Analogue Scale (VAS) during ten minutes with 25 kPa constant cuff pressure and two minutes with zero pressure. The maximal VAS score and area under the VAS-curve were extracted. Pressure pain thresholds (PPT) were recorded by manual pressure algometry on the ipsilateral tibialis anterior muscle before, during and after the tonic arm stimulation.

A description of variables used is to be found on the first page of the PDF-file.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Exercise is often used for pain rehabilitation but the link between physical activity level and pain sensitivity is still not fully understood. Pressure pain sensitivity to cuff algometry and conditioned pain modulation (CPM) were evaluated in highly active men (n=22), normally active men (n=26), highly active women (n=27) and normally active women (n=23) based on the Godin Leisure-Time Exercise Questionnaire. Cuff pressure pain sensitivity was assessed at the arm and lower leg. The subjects scored the pain intensity on an electronic Visual Analogue Scale (VAS) during ten minutes with 25 kPa constant cuff pressure and two minutes with zero pressure. The maximal VAS score and area under the VAS-curve were extracted. Pressure pain thresholds (PPT) were recorded by manual pressure algometry on the ipsilateral tibialis anterior muscle before, during and after the tonic arm stimulation.

A description of variables used is to be found on the first page of the PDF-file.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.48723/t5ga-8871
title: The Pep-study 2022
title: Pep-rapporten 2022

description: The Pep-study is a nation wide survey with the purpose of investigating children and young adults health in regard to food and physical activity. The Pep-study was conducted for the first time in 2018 where 29 000 children and young adults between the ages 4-17 were invited to participate in the study. The study is financially supported by Generation Pep and Hjärt-Lungfonden.

Sample size: 29000 
Cause of non response -Respondent unable to participate: 149

The dataset contains three files:
pep22.csv (ca 3 MB)
pep22.dta (ca 16 MB) 
pep22.sav (ca 4 MB)

The survey results and documentation are in Swedish.
description: Pep-rapporten är en nationell enkätundersökning om barn och ungas matvanor och fysiska aktivitet. Syftet med undersökningen är att öka kunskapen om hur hälsoläget ser ut för barn och unga i Sverige. Karolinska Institutet, SOM-institutet vid Göteborgs universitet och organisationen Generation Pep har i samverkan genomfört Pep-rapporten 2022. Pep-rapporten genomfördes för första gången hösten 2018 där 29000 barn i åldrarna 4-17 bjöds in att delta. Undersökningen finansieras av Generation Pep tillsammans med Hjärt-Lungfonden.

Urvalsstorlek: 29000 
Anledning till bortfall - Naturligt bortfall: 149

Datasetet innehåller tre filer:
pep22.csv (ca 3 MB)
pep22.dta (ca 16 MB) 
pep22.sav (ca 4 MB)
DOI: 10.5878/6kzg-ht74
title: Source data for "Diel variability of CO2 emissions from Northern lakes and the effect of lake mixing"
title: Source data for "Diel variability of CO2 emissions from Northern lakes and the effect of lake mixing"

description: Excel-file with data for reproducing figures and tables for the article and supplementary information.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Excel-fil med data för återgivning av figurer och tabeller för artikel samt kompletterande information.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/cbn6-c922
title: Dataset concerning the vibration signals from wind turbines in northern Sweden
title: Dataset concerning the vibration signals from wind turbines in northern Sweden
title: Dataset of A dictionary learning approach to monitoring of wind turbine drivetrain bearings

description: In the manuscript, we investigate condition monitoring methods based on unsupervised dictionary learning.

The dataset includes the raw time-domain vibration signals from six turbines within the same wind farm (near geographical location). All the wind turbines are of the same type and possess a three-stage gearbox. All measurement data corresponds to the axial direction of an accelerometer mounted on the housing of the output shaft bearing of each turbine. The sampling rate is 12.8 kilosamples/second and each signal segment is 1.28 seconds long (16384 samples).

There are six files, which contains the vibration data from each of the six wind turbines. Within each file, each row corresponds to a different measurement. Furthermore, the first column represents the time expressed in years since the vibration data started to be recorded. The second column is the speed expressed in cycles per minute. The remaining columns are the vibration signal time series expressed in Gs.

The dataset was originally published in DiVA and moved to SND in 2024.
description: In the manuscript, we investigate condition monitoring methods based on unsupervised dictionary learning.

The dataset includes the raw time-domain vibration signals from six turbines within the same wind farm (near geographical location). All the wind turbines are of the same type and possess a three-stage gearbox. All measurement data corresponds to the axial direction of an accelerometer mounted on the housing of the output shaft bearing of each turbine. The sampling rate is 12.8 kilosamples/second and each signal segment is 1.28 seconds long (16384 samples).

There are six files, which contains the vibration data from each of the six wind turbines. Within each file, each row corresponds to a different measurement. Furthermore, the first column represents the time expressed in years since the vibration data started to be recorded. The second column is the speed expressed in cycles per minute. The remaining columns are the vibration signal time series expressed in Gs.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/07fw-bj83
title: The Media Barometer 2022
title: Mediebarometern 2022

description: The Media Barometer has been conducted annually since 1979. Through 2018, the Media Barometer was conducted as a telephone-only survey. Since 2019, the results are based on answers collected via a combined web and telephone survey. Traditionally, the results referred to the Swedish population aged 9–79, but in 2020, the sample frame was expanded to ages 9–85.

The dataset consists of response data from the Media Barometer 2022 in the form of an SPSS data file with variable and value labels.
The questionnaire for the Media Barometer 2022 consisted of 54 media-related questions divided into
four areas: 1) Access to different media and media technologies, 2) Use of different media
and media content during the previous day (alt. last week/month), 3) Time of use for different
media, and 4) Consumption of news in different media. The form ended with eight questions
about the respondent's background and living situation. A number of these questions were only asked
to persons who were older than 17 during the survey year. It concerned questions about employment, income and level of education. All questions in the form had fixed answer options.
description: Mediebarometern har genomförts varje år sedan 1979. Till och med 2018 samlades svaren in via telefon. Sedan 2019 bygger resultaten på svar insamlade via en kombinerad webb- och telefonundersökning. Fram till och med 2019 avsåg resultaten befolkningen mellan 9 och 79 år. Från och med 2020 bygger resultaten på data som avser befolkningen mellan 9 och 85 år.

Tanken med Mediebarometern var redan från starten att långsiktigt följa mediepubliken. Den ansats som val­des för Mediebarometern är mediers faktiska räckvidd. Undersökningen avser således inte människors regel­bundna medievanor, utan vad man faktiskt gjort under en specifik tidsperiod. Mediebarometern utgår från gårdagen som tidsen­het för mediekonsumtionen. Frågorna avser exempelvis om man under föregående dag läste någon dagstidning, om man tittade på rörlig bild eller lyssnade på musik. Först därefter ställs vidare frågor om vilken plattform intervjupersonen använt, t.ex. en tryckt tidning, en vanlig tv-­apparat eller någon hemsida.

Datasetet består av svarsdata från Mediebarometern 2022 i form av en SPSS-datafil försedd med variabel- och värdeetiketter.
Frågeformuläret till Mediebarometern 2022 bestod av 54 medierelaterade frågor fördelade på
fyra områden: 1) Tillgång till olika medier och medietekniker, 2) Användning av olika medier
och medieinnehåll under gårdagen (alt. senaste veckan/månaden), 3) Användningstid för olika
medier, samt 4) Konsumtion av nyheter i olika medier. Formuläret avslutades med åtta frågor
om svarspersonens bakgrund och boendesituation. Ett antal av dessa frågor ställdes bara
till personer som var äldre än 17 år under undersökningsåret. Det gällde frågor om sysselsättning, inkomst och utbildningsnivå. Samtliga frågor i formuläret hade fasta svarsalternativ.
DOI: 10.57804/nnfb-ve23
title: CAPTURE survey on making and using archaeological data
title: CAPTURE enkät om skapande och användning av arkeologisk data

description: An online survey targeted to individuals who, according to themselves, had previously used and/or created, collected or deposited archaeological data (understood broadly, ranging from digital data to finds collections) was used to collect views of what information users think they need to know about data to use it effectively, and what data producers consider it to be important to know about their data.
description: En onlineundersökning riktad till individer som, enligt dem själva, tidigare hade använt och/eller skapat, samlat in eller deponerat arkeologiska data (förstått brett, från digitala data till fyndsamlingar) användes för att samla in åsikter om vilken information användarna anser att de behöver veta om data för att använda dem effektivt, och vad dataproducenter anser vara viktigt att veta om sina data.
DOI: 10.57804/a9kp-9k29
title: Data on lake ice quality from the international IceBlitz campaign in 2020/2021
title: Data on lake ice quality from the international IceBlitz campaign in 2020/2021

description: This dataset is on lake ice quality observations performed in 31 lakes across the Northern Hemisphere during winter 2020/2021. The sampling campaign is known as IceBlitz and has been carried out within the Global Lake Ecological Observatory Network (https://gleon.org/). 

The dataset was originally published in DiVA and moved to SND in 2024.
description: Detta dataset innehåller observationer av iskvaliteten i 31 sjöar på norra halvklotet under vintern 2020/2021. Provtagningsinsatsen benämns IceBlitz och utfördes inom ramen för Global Lake Ecological Observatory Network (https://gleon.org/).

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.