398 research outputs found
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Unique thermal expansion properties of water key to the formation of sea ice on Earth: model outputs
Description: Outputs from the MIT General Circulation Model (MITgcm) run in an idealized coupled ocean-atmopshere-sea ice configuration. This dataset contains all data necessary to reproduce figures and analysis published in Roquet et al. (2022). It includes outputs from the ocean, atmosphere, sea ice, and land surface components of the MITgcm simulations of the Control simulation and sensitivity experiments. Outputs cover the last 50 years of all simulations after spin-up.
Roquet, F., D. Ferreira, R. Caneill, D. Schlesinger, and G. Madec, 2022: Unique thermal expansion properties of water key to the formation of sea ice on Earth. Science Advances. DOI:10.1126/sciadv.abq079
Data from GC-MS supporting identification of molecular triggers of parosmia
Olfactory function of parosmic and non-parosmic participants was assessed using GC-olfactometry. Coffee, chicken, bell pepper, cocoa and faeces were used to identify trigger molecules. These data correspond to the GC-MS chromatograms which were used to confirm the identity of the compounds identified by the participants
Tonga eruption atmospheric pressure wave data
The eruption of the Hunga volcano on 15th January 2022 generated a pressure wave which propagated around the world multiple times. Its passage was recorded at the University of Reading Atmospheric Observatory in the routine precision barometer data. Using additional data from roadside measurement sites, the initial pressure disturbances could be seen to propagate north-south across the UK (having travelled via the north pole), and subsequently south-north (having travelled via the south pole). The first passage at Reading disturbed the low cloud which was then present. Subsequent passages of the pressure wave diminished in amplitude. This archive contains the roadside atmospheric pressure data, and the Reading University atmospheric pressure and cloud base data
Residue dynamics of cyprodinil and fludioxonil in pollen and nectar of courgette (Cucurbita pepo L.)
The aim of this study was to investigate and compare the residue profile in pollen, nectar, flowers, anthers, and leaves of courgette plants following a foliar spray application of two pesticides with contact and systemic properties. Therefore, glasshouse experiments were set up. Courgette plants were sprayed during flowering with cyprodinil and fludioxonil. Samples were taken daily over the course of two weeks and were analysed for residues of both active ingredients using LC-MS/MS
Residue variability in pollen and nectar following application with different application techniques and at different sites
The aim of the experiments was to investigate pesticide residue profiles in different plant matrices following an application with cyprodinil and fludioxonil using different application techniques and under protected (glasshouse) and open field conditions.
Courgette plants were sprayed during flowering with two active ingredients with systemic and contact properties. In the glasshouse the plants were sprayed either with an automated track sprayer or a hand-held sprayer. In the field, the plants were sprayed with a knapsack sprayer with boom.
Nectar, pollen, anther, flower and leaf samples were taken daily over the course of 5 days. Samples were analysed for residues of both active ingredients using LC-MS/MS
Oral language and emergent literacy skills in Arabic speaking children with and without developmental language disorder
This dataset contains children's performances (raw and percentage scores) on:
1. Nonverbal test
2. Digit recall
3. Nonword repetition
4. Vocabulary knowledge tests (receptive and expressive)
5. Syntactic test
6. Listening comprehension: inferential and literal skills.
7. Emergent literacy composite.
The dataset also includes children's age and gender
Data supporting ethnobotanical insights from an historical herbarium: the Samuel Browne collections from early modern India.
These files are eAppendices containing ethnobotanical data collected from several locations in peninsular India (southeast India- Tamil Nadu and Andhra Pradesh, southwest India- Kerala) and Sri Lanka which are part of a PhD Thesis. The data is generated from existing literature resources from late 17th century to modern century up to 2021. The data is in tabular format. These are excel spreadsheets saved as .csv files
University of Reading Open Research Survey 2021 dataset
This dataset contains anonymised data collected during the University of Reading Open Research Survey 2021. This project was lead by a group of Open Research Champions across multiple departments, with the aim of mapping the current open research landscape of the university.
Questionnaire responses were collected from 403 staff and students in the University of Reading community between October and November 2021. The data shared here contains anonymised responses from 390 participants, following cleaning of the dataset to remove duplicates and participants who did not provide consent for data usage and/or sharing.
Participants were recruited using departmental mailing lists, and through word of mouth. Dissemination across the institution was supported by Open Research Champions within their respective departments. Three 50 GBP prizes were offered to respondees to incentivise participation in the survey.
The dataset contains anonymised survey data for individual respondees, a data dictionary for interpreting values in the dataset, a copy of the original survey as implimented in REDCap, and a Jupyter Notebook used to generated the sharable data from our raw dataset
Dataset supporting: 'A systematic map of cassava farming practices and their agricultural and environmental impacts using new ontologies: Agri-ontologies 1.0'
These data support a systematic map of scientific studies about cassava farming practices, which was made with the aim of identifying knowledge gaps and clusters. A secondary aim of the study was to develop a hierarchical classification system for [1] farming interventions, and [2] agricultural, economic, and environmental outcomes. This standardized classification system for agricultural metadata can facilitate dataset reuse and promote research efficiency across syntheses. Following our published protocol [2], we searched eight publication databases/repositories using the search string “cassava OR mandioca OR manihot OR manioc OR yuca” in December 2017. We screened 36,580 records at title and abstract and then at full text stage, and included publications that measured the impact of cassava farming practices on agricultural or environmental outcomes, including: yield, soil, water, wildlife, pests, pollutants, profits, and labour. We classified the resultant 1,599 publications by interventions, outcomes, study location, study years, and study design. We assessed coding consistency using Kappa scores. This map is available online via an interactive database: https://www.metadataset.com/ (registration required). The Kappa scores indicated that we successfully developed a consistent intervention and outcome ontology that can be applied to other systems
Co-occurring Mediterranean orchids: morpho-anatomical, phenological, reproductive and microsatellites data from Ophrys fusca and Ophrys dyris in Central Portugal
The dataset includes morphological, phenological and genetic diversity data collected in six different populations in Central Portugal, from Ophrys fusca and Ophrys dyris plants. It includes morpho?anatomical traits from 272 plants, phenological records and pollination success assessments from 887 flowers from 260 plants (Chpt 2 datafiles). Relative DNA content was also assessed from flow cytometry measurements (Chpt 3 datafile) from 67 plants analysed. Genetic dataset (Chpt 4) refers to the analysis of 13 microsatellite loci in 162/ 167 plants (Chpt 4 datafiles 1 and 2). Files 1 and 2 consist of scoring data, file 3 includes the results of hybridisation analysis carried out from reference samples using Structure software