Researchdata.se
Not a member yet
6142 research outputs found
Sort by
Meteorological data from Mella
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Tarfala Research Station (2025). Meteorological data from Mella, 2017-01-01–2017-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/yFUn7-By6bcw1PUM88iWFvf
Meteorological data from Lönnstorp, AWS
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Lönnstorp Research Station (2025). Meteorological data from Lönnstorp, AWS, 2014-04-17–2024-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/7cYh4rlsSYgQqPfoeUAS6gA
Meteorological data from Lönnstorp, AWS
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Lönnstorp Research Station (2025). Meteorological data from Lönnstorp, AWS, 2023-01-01–2023-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/JQizUOnOvvmFkNKNoekc5E_
Meteorological data from Asa, Meteorological station
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Asa Research Station (2025). Meteorological data from Asa, Meteorological station, 2024 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/ycKfBM22ewYSoi4xreIT-ca
ICOS ATC CO2 Release from Hyltemossa (150.0 m)
No full textQuality-controlled data on molar fraction of atmospheric CO2
Heliasz, M., Biermann, T. (2025). ICOS ATC CO2 Release from Hyltemossa (150.0 m), 2017-04-17–2025-03-31, ICOS RI, https://hdl.handle.net/11676/MUSD-KlXYMm1FXQsYBK1M6H
ICOS ATC/CAL Flask Release from Hyltemossa (150.0 m)
No full textcan contain atmospheric composition data for any of a number of gases; the data can be a mole fraction, isotope ratio, or other related quantity
Heliasz, M., Biermann, T. (2025). ICOS ATC/CAL Flask Release from Hyltemossa (150.0 m), 2020-03-24–2025-02-22, ICOS RI, https://hdl.handle.net/11676/v6QkdklexuebvGCb6tWTVud
ICOS ATC/CAL Flask Release from Norunda (100.0 m)
No full textcan contain atmospheric composition data for any of a number of gases; the data can be a mole fraction, isotope ratio, or other related quantity
Lehner, I., Molder, M. (2025). ICOS ATC/CAL Flask Release from Norunda (100.0 m), 2019-07-09–2025-03-25, ICOS RI, https://hdl.handle.net/11676/x3iua_16wPIb33WRO8b7s6w
Kubord-fasttext - Dagens Nyheter 2010–2024 - token
No full textKubord-fasttext is a collection of fasttext models, developed within a collaboration between
KBLab and Språkbanken Text, that have
been trained on the same underlying data as Kubord 2.
The models have been trained on the token and the lemma level. The tool that has been used for the training is
Gensim, with the following parameter settings:
min_n 4, max_n 7, 20 epoker, dim 300, and lr .05.Kubord-fasttext är en samling fasttext-modeller, framtagna inom ett samarbete mellan
KB-labb och Språkbanken Text, som tränats på
samma underliggande data som Kubord 2. Modellerna är
tränade på token- och lemmanivå. Verktyget som använts vid träning är
Gensim, med följande parameterinställningar:
min_n 4, max_n 7, 20 epoker, dim 300 och lr .05
Baltic coastal meadow specialist plant abundances and habitat extent variables in the 1960s and 2024
No full textThis data consists of an inventory and a re-inventory of plant specialist abundances in Baltic coastal meadows, together with explanatory variables used to model species occurrence and abundance changes between the time steps. The original data was collected by Germund Tyler and published in Tyler (1969) as maps. This original data was collected from 76 Baltic coastal meadows, but here we only include the 65 for which we have data from the re-inventory of 2024. Four of the eleven meadows excluded from this dataset were situated on inaccessible islands, two have been converted to parking lots and five could not be located for the re-inventory. Habitat size, habitat amount, number of coastal meadows and management were calculated using a time series of aerial images. The management status was determined for all sites in each time step in the aerial image time series; all managed coastal meadows were digitized for the aerial images from the 1960s and 2023. See the belonging paper for more information on the plant inventories and the aerial image interpretation.
Reference to the original dataset: Tyler, G. (1969). Studies in the ecology of Baltic sea-shore meadows. 2. Flora and vegetation. Opera Botanica a Societate Botanica Lundensi, 25
Stängd rådatauppsättning för: Intermittent kontroll och retinalt optiskt flöde vid styrning i krökta banor
No full textThe data set contains pre-processed raw data for the research project studying human driving behavior. The data set is pseudonymized but contains sensitive personal data.
The research participants are tasked to drive through an S-shaped two-lane road on a texture-rich ground in virtual reality.
The data consists of visual images rendered from the point of view of the research participants, with their gazing using eye tracking and vehicle kinematics data. Their responses through the steering wheel, pedal position, and head kinematics are captured during the experiment.Datasettet innhåller den förarbetad rådata som används inom forskningsprojektet med ändamålet att studera mänskligt förarbeteende. Datan är pseudonymiserat men innehåller fortfarande känsliga personuppgifter som utgör en del av mätdatan.
Forskningspersonerna i experimentförsöken har i uppgift att köra igenom en S-formad tvåfilig körbana med en textuerad mark i virtual reality.
Den insamlad rådata består av bilder från forskningspersonernas perspektiv med deras blickdata, fordonsinformation, samt styrdata i form av rattsignaler, pedalsignaler och huvudrörelse under försöket såsom renderade bilder från forskningspersonens vy, deras blickbeteende, och fordonsinformation när forskningspersonerna kör i en två-filig S-formad körbana på en texturrik asfalt i virtual reality