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Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.MOHC.HadGEM3-GC31-MM.ssp126' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The HadGEM3-GC3.1-N216ORCA025 climate model, released in 2016, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N216; 432 x 324 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km.

The aggregation of data concerned 103 Italian cities and for each city 45 indicators were considered

Raw data and corresponding data analysis (Microsoft Office Excel, Origin) supporting Journal of American Chemical Society publication: "Photoreduction of CO2 with a formate dehydrogenase driven by photosystem II using a semi-artificial Z-scheme architecture". Data include: three-electrode and two-electrode electrochemistry and photoelectrochemistry, data analysis and product quantification.

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 repository contains postprocessed results that are part of the paper "Identification of reliable locations for wind power generation through a global analysis of wind droughts" published in Communications Earth & Environment. The results are provided on a latitude-longitude grid, except where specified, and include: mean wind speed, annual mean wind speed, mean wind power density, annual mean wind power density, minumum annual mean wind power density, energy deficits for seasonal variability, energy deficits for weather variability, energy deficits for wind droughts, wind speed time series at Lat 53.00 Lon 3.00. Code and instructions required to reproduce these results are available in the GitHub repository at https://github.com/eantonini/Global_wind_droughts.

Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO2 emissions from fossil fuel combustion and industry (FFI), CH4 emissions, N2O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO2 emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.

Aim: Climate warming and biodiversity loss both alter plant productivity, yet we lack an understanding of how biodiversity regulates the responses of ecosystems to warming. In this study, we examine how plant diversity regulates the responses of grassland productivity to experimental warming using meta-analytic techniques. Location: Global Major taxa studied: Grassland ecosystems Methods: Our meta-analysis is based on warming responses of 40 different plant communities obtained from 20 independent studies on grasslands across five continents. Results: Our results show that plant diversity and its responses to warming were the most important factors regulating the warming effects on plant productivity, among all the factors considered (plant diversity, climate and experimental settings). Specifically, warming increased plant productivity when plant diversity (indicated by effective number of species) in grasslands was lesser than 10, whereas warming decreased plant productivity when plant diversity was greater than 10. Moreover, the structural equation modelling showed that the magnitude of warming enhanced plant productivity by increasing the performance of dominant plant species in grasslands of diversity lesser than 10. The negative effects of warming on productivity in grasslands with plant diversity greater than 10 were partly explained by diversity-induced decline in plant dominance. Main Conclusions: Our findings suggest that the positive or negative effect of warming on grassland productivity depends on how biodiverse a grassland is. This could mainly owe to differences in how warming may affect plant dominance and subsequent shifts in interspecific interactions in grasslands of different plant diversity levels.

Input data set for OPHELIA optimisation model investigating optimal heat decarbonization pathways through electrification for net zero economy in Great Britain.