Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
121
datasets available to search
ShareScore release 0.7.1
Dataset results
121 results for “Global climate change”
Data and model code for study: Mechanistic modelling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change
<p>This folder will include data and model code for study: Mechanistic modelling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change.</p>
Global Fire Weather Indices - supporting data for Jain et al. 2021, Nature Climate Change
<p>Daily fire weather indices (FWI and ISI, outputs of the Canadian Fire Weather Index System) from 1979-2020 at 0.25 deg resolution. This data supports the analysis in "Observed increases in extreme fire weather driven by atmospheric humidity and temperature", Jain et al. 2021, accepted for publication in Nature Climate Change.<br> <br> Variables were processed using inputs from the ERA5 Reanalysis (hourly surface data from 1979–2020, available from <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview">https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview</a>). FWI System indices were calculated using the CFFDRS R package using the overwintering procedure outlined in McElhinny et al. 2020. </p> <p>References</p> <p>McElhinny, M., Beckers, J. F., Hanes, C., Flannigan, M., and Jain, P.: A high-resolution reanalysis of global fire weather from 1979 to 2018 – overwintering the Drought Code, Earth Syst. Sci. Data, 12, 1823–1833, https://doi.org/10.5194/essd-12-1823-2020, 2020.</p> <p> </p> <p> </p> <p> </p>
Intermediate data belonging to "Process-based climate change assessment for European winds using EURO-CORDEX and global models"
<p>This dataset contains the intermediate results of Wohland (2022) that are needed to redo the analysis und produce the figures. It allows to bypass those steps that rely on access to the supercomputers at the German Climate Computing Centre (DKRZ). When using this data in academic work, please reference</p> <blockquote> <p>Jan Wohland, Process-based climate change assessment for European winds using EURO-CORDEX and global models, Environmental Research Letters (provisionally accepted on 28/11/2022), 2022</p> </blockquote> <p><strong>Using this data to reproduce results</strong></p> <p>The data can be used together with the code provided in https://github.com/jwohland/kliwist_modelchain</p> <p>In the above mentioned github repository, there is a `run_all.py` script that repeats the analysis presented in Wohland (2022). After downloading and extracting this data, you can ignore the steps under "calculations", and begin with "plots".</p> <p><strong>Underlying data</strong></p> <p>The dataset draws on output from the CMIP5, CMIP6 and EURO-CORDEX initiatives. I thank the climate modeling groups for making their data openly available. In particular, I acknowledge the World Climate Research Programme’s Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5. I also acknowledge the Earth System Grid Federation infrastructure an international effort led by the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison, the European Network for Earth System Modelling and other partners in the Global Organisation for Earth System Science Portals (GO-ESSP). I also acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6.</p> <p><strong>Funding</strong></p> <p>This work is part of the project "The influence of climate change on wind energy site assessments – KliWiSt" funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK).</p> <p><strong>References to raw data journal articles</strong></p> <blockquote> <p>Jacob, D. <em>et al.</em> EURO-CORDEX: new high-resolution climate change projections for European impact research. <em>Reg Environ Change</em> <strong>14</strong>, 563–578 (2014).</p> </blockquote> <blockquote> <p>Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An Overview of CMIP5 and the Experiment Design. <em>Bull. Amer. Meteor. Soc.</em> <strong>93</strong>, 485–498 (2012).</p> </blockquote> <blockquote> <p>Hurtt, G. C. <em>et al.</em> Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. <em>Climatic Change</em> <strong>109</strong>, 117–161 (2011).</p> </blockquote>
Data for: Coral adaptive capacity insufficient to halt global transition of coral reefs into net erosion under climate change
<p>Projecting the effects of climate change on net reef calcium carbonate production is critical to understanding the future impacts on ecosystem function, but prior estimates have not included corals' natural adaptive capacity to such change. Here we estimate how the ability of symbionts to evolve tolerance to heat stress, or for coral hosts to shuffle to favourable symbionts, and their combination, may influence responses to the combined impacts of ocean warming and acidification under three representative concentration pathway emissions scenarios (RCP2.6, RCP4.5, RCP8.5). We show that symbiont evolution and shuffling both individually and when combined favours persistent positive net reef calcium carbonate production. However, our projections of future net calcium carbonate production under climate change vary both spatially and by RCP. For example, 19–35% of modelled coral reefs are still projected to have net positive net calcium carbonate production by 2050 if symbionts can evolve increased thermal tolerance, depending on the RCP. Without <span>symbiont adaptive capacity,</span> the number of coral reefs with positive net calcium carbonate production drops to 9–13% by 2050. Accounting for both symbiont evolution and shuffling, we project median positive net calcium carbonate production of coral reefs will still occur under low greenhouse emissions (RCP2.6) in the Indian Ocean, and even under moderate emissions (RCP4.5) in the Pacific Ocean. However, adaptive capacity will be insufficient to halt the transition of coral reefs globally into erosion by 2050 under severe emissions scenarios (RCP8.5).</p>
Projections of changes in the global distribution of shallow water ecosystems through 2100 due to climate change
<p>The global area and distribution of shallow water ecosystems (SWEs), and their projected responses to climate change, are fundamental for evaluating future changes in their ecosystem functions, including biodiversity and climate change mitigation and adaptation. Although previous studies have focused on a few SWEs, we modelled the global distribution of all major SWEs (seagrass meadows, macroalgal beds, tidal marshes, mangroves, and coral habitats) from current conditions (1986−2005) to 2100 under the representative concentration pathway (RCP) 2.6 and 8.5 emission scenarios. Our projections show that global coral habitat shrank by as much as 75% by 2100 with warmer ocean temperatures, but macroalgal beds, tidal marshes, and mangroves remained about the same because photosynthetic active radiation (PAR) depth did not vary greatly (macroalgal beds) and the shrinkage caused by sea-level rise was offset by other areas of expansion (tidal marshes and mangroves). Seagrass meadows were projected to increase by up to 11% by 2100 because of the increased PAR depth. If the landward shift of tidal marshes and mangroves relative to sea-level rise was restricted by assuming coastal development and land use, the SWEs shrank by 91.9% (tidal marshes) and 74.3% (mangroves) by 2100. Countermeasures may be necessary for coastal defense in the future; these include considering the best mix of SWEs and coastal hard infrastructure because the significant shrinkage in coral habitat could decrease wave energy. However, if appropriate coastal management is achieved, the other four SWEs, which have relatively high CO<sub>2</sub> absorption rates, can help mitigate the climate change influences.</p>
Data from: Going with the flow: the role of ocean circulation in global marine ecosystems under a changing climate
Open the record for dataset details and reuse information.
Data from: Global pattern of nest predation is disrupted by climate change in shorebirds
Open the record for dataset details and reuse information.
Data for: Coral adaptive capacity insufficient to halt global transition of coral reefs into net erosion under climate change
Open the record for dataset details and reuse information.
Data from: Global drivers of tree seedling establishment at alpine treelines in a changing climate
Open the record for dataset details and reuse information.
Data from: Differentiation in neutral genes and a candidate gene in the pied flycatcher: using biological archives to track global climate change
Open the record for dataset details and reuse information.
Data from: Palaeobiogeographical distribution of Orbiculoidea (Brachiopoda, Discinoidea) responding to global climatic and geographical changes during the Palaeozoic
Open the record for dataset details and reuse information.
Local anthropogenic stress does not exacerbate coral bleaching under global climate change
Open the record for dataset details and reuse information.
Historical and projected impact of global climate change on the extrinsic incubation of <em>Dirofilaria immitis</em>
Open the record for dataset details and reuse information.
Combined effects of global climate change and nutrient enrichment on the physiology of three temperate maerl species
<p><span><span><span><span><span><span><span><span><span><span><span>Made up of calcareous coralline algae, maerl beds play a major role as ecosystem engineers in coastal areas throughout the world. They undergo strong anthropogenic pressures, which may threaten their survival. The aim of this study was to gain insight into the future of maerl beds in the context of global and local changes. We examined the effects of rising temperatures (+3ºC) and ocean acidification (-0.3 pH units) according to temperature and pH projections (i.e. the RCP8.5 scenario), and nutrient (N and P) availability on three temperate maerl species (<i>Lithothamnion corallioides</i>, <i>Phymatolithon calcareum</i>, <i>Lithophyllum incrustans</i>) in the laboratory in winter and summer conditions. Physiological rates of primary production, respiration and calcification were measured on all three species in each treatment and season. The physiological response of maerl to global climate change was species-specific and influenced by seawater nutrient concentrations. Future temperature-pH scenario enhanced maximal gross primary production rates in <i>P. calcareum </i>in winter and in <i>L. corallioides </i>in both seasons. Nevertheless, both species suffered an impairment of light harvesting and photo-protective mechanisms in winter. Calcification rates at ambient light intensity were negatively affected by the future temperature-pH scenario in winter, with net dissolution observed in the dark in <i>L. corallioides</i>and <i>P. calcareum</i>under low nutrient concentrations. Nutrient enrichment avoided dissolution under future scenarios in winter and had a positive effect on <i>L. incrustans</i>calcification rate in the dark in summer. In winter conditions maximal calcification rates were enhanced by the future temperature-pH scenario on the three species, but <i>P. calcareum </i>suffered inhibition at high irradiances. In summer conditions, the maximal calcification rate dropped in <i>L. corallioides </i>under the future global climate change scenario<i>, </i>with a potential negative impact on CaCO<sub>3</sub>budget for maerl beds in the Bay of Brest where this species is dominant. Our results highlight how local changes in nutrient availability or irradiance levels impact the response of maerl species to global climate change and thus point out how it is important to consider other abiotic parameters in order to develop management policies capable to increase the resilience of maerl beds under the future global climate change scenario.</span></span></span></span></span></span></span></span></span></span></span></p>
Supplementary material 3 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 2
Supplementary material 4 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 3
Supplementary material 1 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 1
Supplementary material 2 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Table S1
Data from: Coupling of palaeontological and neontological reef coral data improves forecasts of biodiversity responses under global climatic change
Reef corals are currently undergoing climatically-driven poleward range expansions, with some evidence for equatorial range retractions. Predicting their response to future climate scenarios is critical to their conservation, but ecological models are based only on short-term observations. The fossil record provides the only empirical evidence for the long-term response of organisms under perturbed climate states. The palaeontological record from the Last Interglacial (LIG; 125,000 years ago), a time of global warming, suggests that reef corals experienced poleward range shifts and an equatorial decline relative to their modern distribution. However, this record is spatiotemporally biased, and existing methods cannot account for data absence. Here, we use ecological niche modelling to estimate reef corals' realised niche and LIG distribution, based on modern and fossil occurrences. We then make inferences about modelled habitability under two future climate change scenarios (RCP4.5, RCP8.5). Reef coral ranges during the LIG were comparable to the present, with no prominent equatorial decrease in habitability. Reef corals are likely to experience poleward range expansion and large equatorial declines under RCP4.5 and RCP8.5. However, this range expansion is likely optimistic in the face of anthropogenic climate change. Incorporation of fossil data in niche models improves forecasts of biodiversity responses under global climatic change.
Climate-driven change to phytoplankton blooms across the global ocean - CMIP6 Phenology Outputs
<p>Bloom phenology metrics calculated from CMIP6 chlos outputs archived. Models include 'CNRM-ESM2-1-LR', 'MPI-ESM1-2-LR', 'NorESM2-LM' and 'NorESM2-MM'. Metrics calculated using daily outputs resampled to 5 day means with the methods outlined in Thomalla et al. (2023) Nature Climate Change (doi: 10.1038/s41558-023-01768-4).</p><p>Data are organised along the dimensions of model, year, latitude and longitude.</p><p>Data include the Historical (1850-2014) and high emissions SSP5-8.5 (2015-2100) simulations.</p><p>Metrics include bloom initiation, bloom termination, bloom duration, bloom integrated chlorophyll-a, bloom mean chlorophyll-a, bloom maximum chlorophyll-a, bloom maximum date, number of bloom peaks and seasonal cycle reproducibility.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.