Find research datasets worth reusing

openother-openAug 2023View details →

Agriculture Futures and Climate Data Set

This is the second release. The agriculturefuturedata.mat includes the realized volatility series of corn, cotton, palm, wheat, and soybean futures. The climatedata.mat includes the average air pollution variables, weighted average air pollution variables, weighted average weather variables, attention to climate change variables, and attention to extreme weather variables.

opencc-by-4.0Aug 2023View details →

Data from "Unraveling Cross-Border Climate Risks through Climate Storylines:An example from Europe's Cocoa Industry"

The following files were used in the analysis in the article "Unraveling Cross-Border Climate Risks through Climate Storylines: An example from Europe's Cocoa Industry." The traditional assessment of climate change's impact on agriculture, confined by geographical borders, is insufficient due to global trade, allowing climate risks to affect multiple nations. This study uses cacao as an example to highlight cross-border climate risks, showing their implications for the EU's chocolate industry. Concentrating on cacao supply from Ivory Coast and Ghana, the study models various warming scenarios, revealing reduced cacao yields in both countries. Under RCP2.6, Ivory Coast could lose around 7% of cacao production by 2050, rising to 23% at RCP8.5. Ghana might experience losses of 39% by 2050, with a potential extreme loss of 86%. A no-deforestation import policy further affects production, reducing about 24% in the Ivory Coast and 16% in Ghana. These losses possibly cause EU supplies to decrease by 8% by 2050 in the long term and up to  20% in an extreme year. Predicted cacao price hikes of 30% by 2050 will cost the EU 2.5 billion euros annually by 2050. Extreme drought might elevate prices by 115% (RCP8.5), resulting in an additional annual expense of 10 billion euros for the EU. Findings indicate importance of addressing cross-border dimension in climate risk studies. These risks intensify with higher warming degrees, compounded by concentrated crop production, making countries dependent on these commodities highly susceptible to simultaneous, multi-location crop failures. Presently, EU trade agreements lack provisions for such scenarios. Given the increased likelihood of such shocks under a warming climate, more significant investment into disaster management strategies and policies is advisable.

opencc-by-4.0Aug 2023View details →

data and code for climate-cyclone publication

The folder contains the data and scripts used to generate Figures 1-4 of Zhang (2023). version 1.01: italicize omega and fix a function bug

opencc-zeroAug 2023View details →

Data from: Macroecological predictors of evolutionary and plastic potential do not apply at microgeographic scales for a freshwater Cladoceran under climate change

Rapid evolutionary adaptation could reduce the negative impacts of climate change if sufficient heritability of key traits exists under future climate conditions. Plastic responses to climate change could also reduce negative impacts. Understanding which populations are likely to respond via evolution or plasticity could therefore improve estimates of extinction risk. A large body of research suggests that the evolutionary and plastic potential of a population can be predicted by the degree of spatial and temporal climatic variation it experiences. However, we know little about the scale at which these relationships apply. Here, we test if spatial and temporal variation in temperature affect genetic variation and plasticity of fitness and a key thermal tolerance trait (critical thermal maximum; CTmax) at microgeographic scales using a metapopulation of Daphnia magna. Specifically, we ask if: (1) there is microgeographic adaptation of CTmax and fitness to differences in temperature among the pools, (2) pools with greater temporal temperature variation have more genetic variation or plasticity in CTmax or fitness, and (3) increases in temperature affect the heritability of CTmax and fitness. Although we observed genetic variation and plasticity in CTmax and fitness, and differences in fitness among pools, we did not find support for the predicted relationships between temperature variation and genetic variation or plasticity. Furthermore, the genetic variation and plasticity we observed in CTmax is unlikely sufficient to reduce the impacts of climate change. CTmax plasticity was minimal and heritability was 72% lower when D. magna developed at the higher temperatures predicted under climate change. In contrast, the heritability of fitness increased by 53% under warmer temperatures suggesting an increase in overall evolutionary potential unrelated to CTmax under climate change. More research is needed to understand evolutionary and plastic potential under climate change and how that potential will be altered in future climates.

opencc-zeroAug 2023View details →

Data for: Human activity coupled with climate change strengthens the role of lakes as an active pipe of dissolved organic matter

This dataset contains data from an investigation to resolve the relative importance of multiple environmental drivers on the quantity and quality of chromophoric DOM in lakes at the continental scales. The study is described in the paper: "Du Y., Chen F., Zhang Y., He H., Wen S., Huang X., Song C., Li. K., Wang J., Kellings D., and Lu Y. 2023. Human activity coupled with climate change strengthens the role of lakes as an active pipe of dissolved organic matter, Earth's Future, in press". The primary objectives of the study were to (i) quantity the magnitude of environmental drivers modulating lacustrine DOM quantity and quality at a continental scale, including climate, land cover, societal development, and water retention time, and (ii) unravel individual and interactive effects of the environmental drivers. Firstly, we constructed a structural equation model framework that incorporated both direct and indirect pathways. Secondly, we collected a continental-scale dataset of lake DOM quantity and quality, along with the corresponding environmental driver variables from a group of carefully selected lakes (n=182). Lastly, we established structure equation models to analyze DOM quantity and quality variations as a function of the four environmental drivers. The main results include: (1) land cover and societal development both exhibit positive direct effects on lake CDOM quantity, highlighting the significant role of well-vegetated soils and anthropogenic activities as sources of lake DOM on a continental scale. (2) Climate has two strong but opposite effects –a warming and wet climate facilitates soil OM production and export but also enhances CDOM in-lake transformation. (3) Three proxies are proposed as indicators of the magnitude of biogeochemical drivers influencing lake DOM across ecoclimatic zones, including fluorescent DOM/DOC indicating economic activity, percentages of a degraded fluorescent DOM component indicating solar irradiation, and percent tyrosine-like DOM reflecting DOM processing time within the watershed and lake.

opencc-by-nc-nd-4.0Aug 2023View details →

Emotional intelligence and school climate data from Spain, Norway, and Poland in 2019

Dataset of the published open access article: Luque González, R., Romera, E., Gómez-Ortiz, O., Wiza, A., Laudańska-Krzemińska, I., Antypas, K., & Muller, S. (2022). Emotional intelligence and school climate in primary school children in Spain, Norway, and Poland. Psychology, Society & Education, 14(3), 29–37. https://doi.org/10.21071/psye.v14i3.15122

opencc-by-4.0Aug 2023View details →

Data for "Reducing Southern Ocean biases in the FOCI climate model"

Jupyter notebooks and time-averaged data needed to reproduce all plots in "Reducing Southern Ocean biases in the FOCI climate model" submitted to JAMES. Source code modifications needed to compile and run the model is also included. See attached README for more information.

Data for: Climate change alone cannot explain boreal caribou range recession in Quebec since 1850

The contraction of species range is one of the most significant symptoms of biodiversity loss worldwide. While anthropogenic activities and habitat alteration are major threats for several species, climate change has not been overlooked either. For species at risk, differentiating the effects of human disturbances and climate change on past and current range transformations is an important step towards improved conservation strategies. We paired historical range maps with global atmospheric reanalyses from different sources (ERA5, CERA-20C, 20CRv3) to assess the potential effects of recent climate change on the observed northward contraction of the distribution range of boreal populations of woodland caribou (Rangifer tarandus caribou) in Quebec (Canada) since 1850. We quantified these effects by highlighting the discrepancies between different southern limits of the caribou's range (used as references) observed in the past and reconstitutions obtained through the hindcasting of the climate conditions within which caribou are currently found. Hindcasted southern limits moved ~105 km north over time under all reanalysis datasets, a trend drastically different from the ~620 km reported for observed southern limits since 1850. The differences in latitudinal shift through time between the observed and hindcasted southern limits of distribution suggest that caribou range recession should have been only 17% of what has been observed since 1850 if recent climate change had been the only disturbance driver. This limited impact of climate reinforces the scientific consensus stating that caribou range recession in Quebec is mainly caused by anthropogenic drivers (i.e. logging, development of the road network, agriculture, urbanization) that have modified the structure and composition of the forest over the past 160 years, paving the way for habitat-mediated apparent competition and overharvesting. Our results also call for a better consideration of past distribution ranges in models aiming at projecting future distributions, especially for endangered species.

Data, simulations/projections, and supporting materials for simulated hydrologic responses to climate-change projections for the Lake Tahoe basin: subbasin-scale results

This dataset contains data, simulations, projections, and supporting materials associated with simulated hydrologic responses, at the scale of 60 subbasins comprising the Lake Tahoe Basin, California and Nevada, to a 16-member ensemble of statistically-downscaled projections of climate change, 1950-2099. The process and results are described in detail in <div>Dettinger, M., & Rajagopal, S., 2023, Simulated hydrologic responses to climate-change </div> <div>projections for the Lake Tahoe Basin: Desert Research Institute Publication 41292, 99 p.,</div> <div> </div> <div>which is included here. </div> <div> </div> <div>The dataset as presented here contains 6 files, including one large zipped file that itself contains some 1,975 files, mostly simple text files of data, simulation outputs, and analytical results organized into dozens and dozens of subdirectories to allow specific elements to be identified and isolated. Beyond this large collection, the zipped file also contains copies of the report(s), selected supporting documents, graphical files, codes, and copious #readme.txt files to orient the user. </div>

Data from: Climate micro-mobilities as adaptation practice in the Pacific: the case of Samoa

Data from: Navigating Polycrisis: long-run socio-cultural factors shape response to changing climate

Data from: Minority-group incubators and majority-group reservoirs for the diffusion of climate change adaptations

These data are part of a data portal that accompanies the special issue 'Climate change adaptation needs a science of culture,' published in Philosophical Transactions of the Royal Society B in 2023. To access the data portal, please visit <a href="https://doi.org/10.5061/dryad.bnzs7h4h4">10.5061/dryad.bnzs7h4h4</a>. This repository contains code and supporting documentation for the agent-based model analyzed in our paper, "Minority-group incubators and majority-group reservoirs for climate change adaptation". We performed and analyzed a suite of agent-based models that simulated the spread of an adaptation, i.e., a beneficial behavior, in a population with a minority and majority group, defined by group size and tendency to interact with others from one's own group versus another group (homophily). We ran 1000 trials per parameter setting, where parameters were systematically varied to test different homophily levels in each group, and the effect of whether the minority group, majority group, or both groups start with one member knowing the adaptation. The adaptation either spread from one agent in one or both groups to the rest of the members of both groups in the case of adaptation success, or the adaptation disappeared from the entire population (adaptation failure). We then calculated the success rate across all 1000 trials. We also measured the mean time to either adaptive success or failure.

Data for: Genomic signals of local adaptation across climatically heterogenous habitats in an invasive tropical fruit fly (Bactrocera tryoni)

Local adaptation plays a key role in the successful establishment of pest populations in new environments by enabling them to tolerate novel biotic and abiotic conditions experienced outside their native range. However, the genomic underpinnings of such adaptive responses remain unclear, especially for agriculturally important pests. We investigated population genomic signatures in the tropical/subtropical Queensland fruit fly, Bactrocera tryoni, which has an expanded range encompassing temperate and arid zones in Australia, and tropical zones in the Pacific Islands. Using reduced representation sequencing data from 28 populations, we detected allele frequency shifts associated with the native/invasive status of populations and identified environmental factors that have likely driven population differentiation. We also determined that precipitation, temperature, and geographic variables explain allelic shifts across the distribution range of B. tryoni. We found spatial heterogeneity in signatures of local adaptation across various climatic conditions in invaded areas. Specifically, disjunct invasive populations in the tropical Pacific Islands and arid zones of Australia were characterised by multiple significantly differentiated single nucleotide polymorphisms (SNPs), some of which were associated with genes with well-understood function in environmental stress (e.g., heat and desiccation) response. However, invasive populations in southeast Australian temperate zones showed higher gene flow with the native range and lacked a strong local adaptive signal. These results suggest that population connectivity with the native range has differentially affected local adaptive patterns in different invasive populations. Overall, our findings provide insights into the evolutionary underpinnings of invasion success of an important horticultural pest in climatically distinct environments.

Data from: Lizard richness in mainland China is more strongly correlated with energy and climatic stability than with diversification rates

Aim: Contemporary environmental, historical, and evolutionary factors are increasingly used to decipher the drivers of spatial patterns of species richness. Evidence of such correlations for Chinese reptiles is scarce and poorly understood. We therefore explored the validity of the environmental capacity, historical climatic stability, and diversification rates hypotheses on Chinese lizard richness. Location: Mainland China Taxon: Squamata: Sauria Methods: We mapped the distribution ranges of all 237 lizards in mainland China using a combination of different datasets. We used current environmental conditions (ambient energy, environmental productivity, and habitat heterogeneity), historical climate stability indices (long-term: since ~3.3 Ma and short-term: since the Last Glacial Maximum), and mean tip diversification rates to test whether current environmental conditions, historical climate change, and diversification rates drive contemporary richness patterns of lizards in China. We applied piecewise structural equation models (pSEM) to jointly evaluate our hypotheses, considering direct and indirect effects. Results: Chinese lizards showed latitudinal diversity gradients. We found consistent support for contemporary climatic and environmental factors' relationships with richness. Richness was also positively correlated with short-term climatic stability, but less so with long-term stability. Diversification rates were only seldom found to be positively correlated with lizard richness. Main conclusions: Our results support the environmental capacity and historical climate hypotheses, which link high richness to highly productive warm and stable regions (and low richness to cold and unstable regions). We conclude that post-speciation dispersal and short-term climatic oscillations quickly swamp the long-term signal of diversification rates and climatic fluctuations, creating strong current climate-richness associations.

Data from: hibernation telomere dynamics in a shifting climate: insights from wild greater horseshoe bats

Hibernation is linked with various hypotheses to explain the extended lifespan of hibernating mammals compared with their non-hibernating counterparts. Studies on telomeres, markers of ageing and somatic maintenance, suggest telomere shortening slows during hibernation and lengthening may reflect self-maintenance with favourable conditions. Bats in temperate zones adjust body temperatures during winter torpor to conserve energy and exploit mild conditions for foraging. Climate change may impact the hibernation cycle of bats, but more research is needed regarding the role of telomeres in understanding their response to a changing climate. Here relative telomere length (rTL) was measured in the long-lived greater horseshoe bat Rhinolophus ferrumequinum (n = 223 individuals) over three winters, considering climatic conditions. Cross-sectional analyses revealed between-individual variation in rTL with a strong year effect, likely linked to varying weather conditions and foraging success. Additionally, within-individual increases of rTL occurred in 51% of consecutive measurements, with evidence of increasing telomerase expression during hibernation in this species. These findings highlight the beneficial effects of hibernation on telomeres and potential consequences of changing climatic conditions for long-lived temperate bats. Understanding the interplay between hibernation, telomeres, and climate can provide insights into the adaptive capacity and survival of bat populations facing environmental challenges.

opencc-by-4.0Jul 2021View details →

NEEM seasonal dO18 data for "Climate information preserved in seasonal water isotope at NEEM: relationships with temperature, circulation and sea ice"

NEEM seasonal dO18 data over the period 1855-2004. Please cite the following reference when using the data: Zheng, M., Sjolte, J., Adolphi, F., Vinther, B. M., Steen-Larsen, H. C., Popp, T. J., and Muscheler, R.: Climate information preserved in seasonal water isotope at NEEM: relationships with temperature, circulation and sea ice, Climate of the Past, 14, 1067-1078, <a href="https://doi.org/10.5194/cp-14-1067-2018">https://doi.org/10.5194/cp-14-1067-2018</a>, 2018.

opencc-by-4.0Oct 2023View details →

Hydro-climatic data and catchment descriptors for 232 stations in Norway

Streamflow data [l/s/km2] and catchment and climatic descriptors for 232 stations in Norway for use in regional regression analyses. Median annual maximum flood for each catchment is reported for two durations, 1 hour and 24 hours, where durations represent the total flow volume over 1 and 24 hours.

opencc-by-nc-nd-4.0May 2023View details →

A global hybrid tropical cyclone risk model based upon statistical and coupled climate models - Supporting figures and data

IntroductionThis contribution consists of 1) supporting figures and 2) supporting data for the submitted manuscript "A Global Hybrid Tropical Cyclone Risk Model based upon Statistical and Coupled Climate Models." Supporting figures are presented in two interactive HTML documents. The supporting datasets contain tropical cyclone event sets, catalogs, and an example analysis that plots summaries of the simulated catalogs and compares them to historical observations. All files are provided for the 400 ensemble members (event sets) that represent climate model years 1981-2020 (40 years) from the first 10 CESM-LE members.Contents./Catalog/sim_650Tropical cyclone annual catalog for each basin based on the CESM-LE distribution of ENSO phases. 650 simulations are provided for each of 400 event sets. Each file contains the catalog for a single basin and is written as catalog_tc_(BASIN)_sim650_my400_nbinom_condmeanensojma.csv., where BASIN can be NA, EP, WP, NI, SI, SP../DocumentationTCMODEL_UQAM_EXAMPLE.html: Analysis script showing example of use of the tropical cyclone catalogs and comparison to historical observations.UQAM_TC_Model_Data_Supplement_Dictionary.xlsx: Data dictionary of all data supplement file contents../IBTRACSSummary of IBTrACS data required in the analysis script../TrajectoryBanksContains subdirectories for each basin (EP, NAT, NI, SI, SP, WP)Each subdirectory contains several files summarizing the event sets, or banks, of tropical cyclone trajectories.VersionsVersion 1.0.1: Updated TCMODEL_UQAM_SUPPORTING_FIGURES.zip for revisions to submitted manuscript.Version 1.0.0: Original version.

opencc-by-4.0Oct 2023View details →

Data for: Climate driven tipping points in the trophic status of northern lakes.

These data were generated to investigate resilience of northern lakes to climate change. Chlorophyll a concentrations in 12,644 temperate lakes in Ontario, Canada were modelled using remote sensing (see Paltsev, A., & Creed, I. F. (2021) Are northern lakes in relatively intact temperate forests showing signs of increasing phytoplankton biomass? Ecosystems. https://doi.org/10.1007/s1002 1-021-00684-y.) and then analysed using spectral methods.