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CASCADE is a global dataset for 139 extant coccolithophore taxonomic units. CASCADE includes a trait database (size and cellular organic and inorganic carbon contents) and taxonomic-specific global spatiotemporal distributions (Lat/Lon/Depth/Month/Year) of coccolithophore abundance and organic and inorganic carbon stocks. CASCADE covers all ocean basins over the upper 275 meters, spans the years 1964-2019 and includes 33,119 taxonomic-specific abundance observations. Within CASCADE, we characterise the underlying uncertainties due to measurement errors by propagating error estimates between the different studies. Full details of the data set are provided in the associated Scientific Data manuscript. The repository contains five main folders: 1) "Classification", which contains YAML files with synonyms, family-level classifications, and life cycle phase associations and definitions; 2) "Concatenated literature", which contains the merged datasets of size, PIC and POC and which were corrected for taxonomic unit synonyms; 3) "Resampled cellular datasets", which contains the resampled datasets of size, PIC and POC in long format as well as a summary table; 4) "Gridded data sets", which contains gridded datasets of abundance, PIC and POC; 5) "Species lists", which contains spreadsheets of the "common" (>20 obs) and "rare" (<20 obs) species and their number of observations. The CASCADE data set can be easily reproduced using the scripts and data provided in the associated github repository: https://github.com/nanophyto/CASCADE/ (zenodo.12797197) Correspondence to: Joost de Vries, joost.devries@bristol.ac.uk v.0.1.2 has some fixes: 1. The wrongly specified S. neapolitana was removed from synonyms.yml (this species is now S. nana)2. Longitudes were corrected for Guerreiro et al., 20233. A double entry for Dimizia et al., 2015 was fixed4. Units in Sal et al., 2013 were correct to cells/L (previously cells/ml)5. Data from Sal et al., 2013 was re-done, as some species were missing6. Duplicate entries from Baumann et al., 2000 were dropped

This dataset contains the underlying data for the following publication: Doukas, H., Spiliotis, E., Jafari, M. A., Giarola, S. & Nikas, A. (2021). Low-cost emissions cuts in container shipping: Thinking inside the box. Transportation Research Part D: Transport and Environment, 94, 102815, https://doi.org/10.1016/j.trd.2021.102815.

Description: Leaf and invertebrate biomass in streams Project: This dataset was collected as part of the following SAFE research project: A preliminary study of the allochthonous inputs into tropical streams across a land use gradient in Sabah, Malaysia XML metadata: GEMINI compliant metadata for this dataset is available here Data worksheets: There are 2 data worksheets in this dataset: Insects (Worksheet Insects) Dimensions: 23 rows by 11 columns Description: Insect capture rates Fields: Location: SAFE project riparian site (Field type: Location) Stream: SAFE project stream (Field type: ID) Repeat: sample number for that stream (Field type: ID) Total Mass of Insects (g): the total dried mass of insects collected for each of the repeats (Field type: Numeric) Total Insects: the total number of insects collected in each repeat (Field type: Abundance) Hymenoptera: the total number of hymenoptera in each repeat (Field type: Abundance) Diptera: the total number of diptera in each repeat (Field type: Abundance) Coleoptera: the total number of coleoptera in each repeat (Field type: Abundance) Other.Insect: the grouped total of Hemiptera, Thysanoptera, Orthoptera, Blattodea, Trichoptera, Mantodea, Ephemeroptera, Dermaptera for each repeat (Field type: Abundance) Other: the grouped total of Arachnida, Entognatha, Diplopoda, Chilopoda for each repeat (Field type: Abundance) Hydrology (Worksheet Hydrology) Dimensions: 60 rows by 17 columns Description: River characteristics and litter quantities Fields: Location: SAFE project riparian site (Field type: Location) Stream Code: The stream from which the sample was taken (LFE, 15m, 30m, VJR or OP) (Field type: ID) Transect No.: The point of each sample within the 100m transect at each stream (Field type: ID) Channel Width: The bank full width of the channel at this point (Field type: Numeric) Wetted Width: The width of the runnin water at this point (Field type: Numeric) SAFE Habitat Quality Right: the SAFE Habitat quality on the right of the channel when looking upstream (Field type: Ordered Categorical) SAFE Habitat Quality Centre: the SAFE Habitat quality in the centre of the channel when looking upstream (Field type: Ordered Categorical) SAFE Habitat Quality Left: the SAFE Habitat quality on the left of the channel when looking upstream (Field type: Ordered Categorical) Flow Rate Right (s): the time taken for a tennis ball to travel 10m in the water on the right of the channel when looking upstream (Field type: Numeric) Flow Rate Centre (s): the time taken for a tennis ball to travel 10m in the water in the centre of the channel when looking upstream (Field type: Numeric) Flow Rate Left (s): the time taken for a tennis ball to travel 10m in the water on the left of the channel when looking upstream (Field type: Numeric) Average Flow Rate (s): an average of flow rate centre, flow rate left and flow rate right (Field type: Numeric) Leaf Litter Retention (g): the dried mass of leaf litter retained across the wetted width of the stream at each point (Field type: Numeric) Average Substrate Size: the average size of the substrate across the channel width of the stream at each point (Field type: Numeric) Leaf Litter Trap Position: the position where the leaf litter trap was placed relative to the stream when looking upstream (left, right or centre) (Field type: Categorical) Leaf Litter Mass: the dried mass of leaf litter collected in the leaf litter trap at each point (Field type: Numeric) Date range: 2017-02-06 to 2017-07-06 Latitudinal extent: 4.6314 to 4.7273 Longitudinal extent: 117.4556 to 117.6233 Taxonomic coverage: All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets. Animalia - Arthropoda - - Insecta - - - Coleoptera - - - Diptera - - - Hymenoptera - - [Other.Insect]

This data set contains the essential files used as input for the analysis, intermediate files produced during the analysis, and the key output fields. The code of the analysis is available here: https://github.com/VUB-HYDR/2021_Thiery_etal_Science Input fields: - isimip.zip: Postprocessed ISIMIP2b simulation output. This data set is very similar to the data presented in Lange et al. (2020 Earth's Future) but includes selected additional impact models and scenarios (notably RCP8.5). This data set also includes the gridded population data. - GMT_50pc_manualoutput_4pathways.xlsx: Global mean temperature anomaly trajectories from the IPCC SR15 - wcde_data.xlsx: postprocessed cohort size data originally obtained from the Wittgenstein Centre Human Capital Data Explorer. - WPP2019_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXES.xlsx: Postprocessed life expectancy data originally obtained from the UNited Nations World Population Programme Intermediate files *only use if you're interested in reproducing the results*: - workspaces.zip: Postprocessed ISIMIP2b simulation output. These matlab workspaces contain data on land area annually exposed to extreme events which is stored in a format designed to speed up the analysis. - mw_isimip.mat: ISIMIP2 simulations metadata (e.g. model, gcm and rcp name per simulation) - mw_countries.mat: information on the countries used in the analysis (e.g. border polygon coordinates) - mw_exposure.mat: age-dependent exposure computed from the ISIMIP and population data - mw_exposure_pic.mat: pre-industrial control age-dependent exposure computed from the ISIMIP and population data - mw_exposure_pic_coldwaves.mat: pre-industrial control age-dependent exposure to coldwaves computed from the ISIMIP and population data Output of the analysis: - mw_output.mat: Matlab workspace containing all variables produced during the analysis presented in thepaper. Use this file if you wish to look up certain numbers or want to use the study results for further analysis.

Survey used and data gathered for research into adoption of carbon management strategies amongst universities 2022, which forms part of a PhD thesis and will be submitted for publication in a journal.

Prepared by Tom McAuliffe (t.mcauliffe17@imperial.ac.uk) This repository is a release of the raw data and analysis results for: 'Advancing characterisation with statistics from correlative electron diffraction and X-ray spectroscopy, in the scanning electron microscope' https://doi.org/10.1016/j.ultramic.2020.112944 The raw data is given as 'RawData.h5' - this contains patterns, spectra, and metadata in the Bruker-exported format. Outputs of our analysis code (which will be made available via AstroEBSD) are contained in 'PCA_Outputs' subfolders. Exported plots and .mat results files are contained within. These are organised by Figure number in the paper. The provided results are divided into two major sections: (1) Variation in the variance tolerance limit (and corresponding numbers of retained components), and the weighting of the PCA in favour of EBSD or EDS information. RCCs are validated by cross-correlation with the corresponding raw data point pattern and/or spectrum. (2) Full outputs of PCA analysis having varied the weighting parameter. This contains IPF maps, quantified chemical maps, PC scores, and label maps.

Data repository for the paper 'Morocco's Coal to Clean Journey: Optimised Pathways for Decarbonisation and Energy Security' (https://doi.org/10.21203/rs.3.rs-2579435/v4). Six clic-SAND scenario files for analysis of decarbonisation and energy security in Morocco, 'Data Note describing the scenarios' file outlining the steps to replicate the analysis and rebuild the scenarios, 'Data Annex' listing the data sources and assumptions in the scenarios, 'Instructions for running the model' outlining the steps required to re-run the scenarios on OSeMOSYS Cloud, and 'U4RIA Compliance' describing the level of compliance of the study to U4RIA principles.

This study assessed the hand hygiene performance in French nursing homes using the consumption of alcohol-based hand rubs (AHRs) as a surrogate. Nursing homes from the 17 French regions were contacted to collect their AHR consumption and occupancy in 2018 and 2019. A total of 1290 nursing homes from 15 French regions participated in the survey. The estimated median number of hand hygiene actions per resident-day was 1.48 (interquartile range: 1.04-2.03) in 2018 and 1.60 (1.10-2.26) in 2019. A significantly higher AHR consumption was observed in public nursing homes with an infection control team or link nurse.