Find research datasets worth reusing

opencc-zeroJan 2024View details →

Climate change-induced shifts in survival and size of the worlds' northernmost oviparous snake: a 68-year study

Because of their dependence on ambient temperature ectothermic animals can serve as sentinels of conservation problems related to global warming. Reptiles in temperate areas are especially well suited to study such effects, as their annual and daily activity patterns directly depend on ambient temperature. This study is based on annual data spanning 68 years from a fringe population of Grass Snakes (Natrix natrix), which is the world's northernmost oviparous (egg-laying) reptile, and known to be constrained by temperature for reproduction, morphology, and behavior. Mark-recapture analyses showed that survival probability was generally higher in males than in females and that it increased with body length. Body condition (scaled mass index) and body length increased over time, indicative of a longer annual activity period. Monthly survival was generally higher during winter (i.e., hibernation) than over the summer season. Summer survival increased over time, whilst winter survival decreased, especially during recent decades. Winter survival was lower when annual maximum snow depth was less than 15 cm, implying a negative effect of milder winters with less insulating snow cover. Our study demonstrates long-term shifts in body length, body condition and seasonal survival associated with a warming climate. Although the seasonal changes in survival ran in opposite directions and though changes were small in absolute terms, the trends did not cancel out, but total annual survival decreased. We conclude that effects of a warming climate can be diverse and pose a threat to thermophilic species in temperate regions and that future studies should consider survival change by season, preferably in a long-term approach.

opencc-by-4.0Feb 2024View details →

Data for the "Deforestation could push Amazonia close to a tipping point under future climate change." paper

Matlab datafiles for the output of the HYBRID-ICBL coupled land surface-atmosphere single column model presented in the "Deforestation could push Amazonia close to a tipping point under future climate change" Values are daily mean values and their names are self explanatory as follows.

opencc-by-4.0Feb 2024View details →

IntelComp Climate Change Indicators

The IntelComp Climate Change Indicators  dataset provides essential indicators for STI policymakers in the energy and agrifood sectors of Europe and Greece. It covers a broad spectrum of societal sectors including Science, Technology, Industry, ESG (Environmental, Social, and Governance), Human Resources, and Policy. Each indicator set is derived from specific analytics: Science indicators are created from publication analytics, Technology from patent analytics, Industry from company/industry analytics, ESGs from ESG analytics, Human Resources from Green Skills analytics, and Policy from regulation analytics. This dataset, a product of multiple AI-driven pipelines, is derived by processes on raw datasets (Tier 1) and analytics datasets (Tier 2, as described in this DMP) to produce a comprehensive collection of Tier 3 indicators. These indicators provide a detailed view of the current state and trends within the energy and agrifood sectors, assisting policymakers in agenda setting and policy formulation. The data bridges various aspects of societal development and offers a framework for understanding the intersection of science, technology, industry, and human resource development in these critical domains."

opencc-zeroMar 2024View details →

Climate-limited vegetation change in the conterminous United States of America

In the study "CLIMATE-LIMITED VEGETATION CHANGE IN THE CONTERMINOUS UNITED STATES OF AMERICA", published in the Global Change Biology journal, we evaluated the effects of climate conditions on vegetation composition and distribution in the conterminous United States (CONUS). To disentangle the direct effects of climate change from different non-climate factors, we applied "Liebig's law of the minimum" in a geospatial context, and determined the climate-limited potential for tree, shrub, herbaceous, and non-vegetation fractional cover change. We then compared these potential rates against observed change rates for the period 1986 to 2018 to identify areas of the CONUS where vegetation change is likely being limited by climatic conditions. This dataset contains the input and the resulting rasters for the study which include a) the observed rates of vegetation change, b) the climate derived potential vegetation rates of change, c) the difference between potential and observed values and d) the identified climatic limiting factor.

opencc-by-4.0Mar 2024View details →

Blockage, vandalism, and harassment activities for the cause of climate change mitigation: data deposit

The paper describes a dataset of metadata of 89 blockage, vandalism, and harassment events happening in recent years. The dataset comprises three main categories: 1) Events, 2) Activists, and 3) Consequences. For researchers interested in environmental activism, climate change, and sustainability, the dataset is helpful in studying the effectiveness and appropriateness of strategies to raise public awareness and support. For researchers in the field of security studies and green criminology, the dataset offers resources to study features and impacts of blockage, vandalism, and harassment events. The Bayesian Mindsponge Framework (BMF) analytics was employed to validate the dataset. Consequently, the estimated result aligns with the Mindsponge Theory’s theoretical reasoning.

opencc-by-4.0Feb 2024View details →

Data for study " Future Climate Change Impacts on Rice in Uttar Pradesh, India's Most Populous Agrarian State "

Crop management practicrs used to calibrate the DSSAT for Uttar Pradesh. The rice genetic coefficients for various rice varieties/ cultivars are also available here.

opencc-by-4.0Dec 2023View details →

Results of the community survey associated with manuscript "Knowledge gaps in quantifying the climate change response of biological storage of carbon in the ocean" by Henson et al.

Full anonymised results of the community survey are available as part of the Supporting Information (Data Set S1) for manuscript "Knowledge gaps in quantifying the climate change response of biological storage of carbon in the ocean" by Stephanie Henson, Chelsey A. Baker, Paul Halloran, Abigail McQuatters-Gollop, Stuart Painter, Alban Planchat, Alessandro Tagliabue

opencc-by-4.0Apr 2024View details →

Data for "The hydrogen economy can reduce costs of climate change mitigation by up to 22%"

This dataset contains the underlying data for all figures in the main text and in the SI of Wolfram et al. "The hydrogen economy can reduce costs of climate change mitigation by up to 22%", published in One Earth (2024).

opencc-by-4.0Nov 2024View details →

Compound coastal flooding in San Francisco Bay under climate change

These files provide the data that are used for the compound coastal flooding analysis in San Francisco Bay under climate change. If you have used this dataset, please cite our papers: "Wang, Z., Leung, M., Mukhopadhyay, S. et al. Compound coastal flooding in San Francisco Bay under climate change. npj Nat. Hazards 2, 3 (2025). https://doi.org/10.1038/s44304-024-00057-0" .  "Wang, Zhenqiang, et al. "A hybrid statistical–dynamical framework for compound coastal flooding analysis." Environmental Research Letters 20.1 (2024): 014005."

embargoedcc-by-4.0Nov 2024View details →

Dataset of the assessment of the sensitivity of soil communities under climate change

Dataset of the assessment of the sensitivity of soil communities under climate change. Includes measures of microbial biomass and enzymatic activities

opencc-by-4.0Nov 2024View details →

A companion dataset to the paper Scenarios of future climate zone changes in Europe based on EURO-CORDEX regional model ensemble by Holtanová et al., to be submitted to Regional Environmental Change

The content of the dataset is described in the metadata.txt file.

opencc-by-4.0Dec 2024View details →

Vulnerable but not equal: mountain lakes exhibit heterogeneous patterns of phytoplankton responses to climate change

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →

Beaufort Gyre Liquid Freshwater Content Change under Greenhouse Warming from an Eddy-resolving Climate Simulation

This archive contains data and MATLAB code used to generate figures in the manuscript "Beaufort Gyre Liquid Freshwater Content Change under Greenhouse Warming from an Eddy-resolving Climate Simulation".

opencc-by-4.0May 2024View details →

Simulated winter snow, soil thermal regime, and artificial drainage dynamics under climate change.

This dataset provides simulated winter subsurface drainage outputs from the calibrated Root Zone Water Quality Model–Simultaneous Heat and Water (RZ-SHAW) and four machine-learning models (Cubist, LSTM, Multilinear, SVM) for five agricultural research sites across Eastern Canada (Alfred, Harrow, Kentville, Ottawa-Greenbelt, and St-Emmanuel). The simulations span from 1950 to 2100 under the high-emission climate change scenario RCP8.5, derived from the Canadian Regional Climate Model Large Ensemble (CANRCM4 LE). Included in this repository are: <ul> <li> Winter drainage volume's future projections from 1950 to 2100 the RZ-SHAW and machine-learning models. </li> <li> RZ-SHAW simulated future projections from 1950 to 2100 in snow cover, soil thermal conditions, subsurface drainage volume and frequency, evaporation, surface runoff, and soil water storage. </li> </ul> This dataset also contains simulated annual crop yield projections (kg/hectare) from 1950 to 2100 the five sites Alfred (corn), Harrow (corn and soybean), Kentville (corn), Ottawa (corn), St-Emmanuel (corn). Simulations were performed using the RZ-SHAW model under RCP8.5 climate change scenario. Each site's data includes annual grain yield values and Sen's slope trend analysis with Mann-Kendall significance test results. Users should note the following important limitations when interpreting these yield projections: <ol> <li>Simplified Crop Growth Parameters: The crop module was implemented primarily to account for crop residue effects on winter soil conditions, not for yield prediction. No calibration was performed for crop growth parameters.</li> <li>No Nutrient Stress: Simulations were run without nitrogen or phosphorus limitations for simplicity, which may overestimate yields in scenarios where nutrient availability would be constraining.</li> <li>Fixed Management Practices: Planting and harvest dates were held constant throughout the simulation period (1950-2100) based on historical averages, which becomes increasingly unrealistic under future climate conditions.</li> <li>No CO₂ Fertilization Effect: Atmospheric CO₂ concentration changes were not incorporated, potentially underestimating photosynthetic responses in future climate scenarios.</li> <li>Limited Stress Responses: The model's representation of heat stress, drought tolerance, and other physiological responses to extreme conditions may not fully capture crop responses under future climate scenarios.</li> <li>No Adaptation Strategies: The simulations do not account for potential adaptations such as cultivar changes, shifting planting dates, or irrigation implementation that would likely occur in response to changing conditions.</li> </ol>

opencc-zeroOct 2021View details →

A fingerprint of climate change across pine forests of Sweden

Needle traits of coniferous forests reflect environmental conditions and influence tree physiology and growth. Given the sensitivity of needle traits and tree growth to climate, temperature warming of ≈1°C in the past century may have influenced structure and function of high latitude forests across the globe. Here we show that throughout a ≈1,000 km transect in cold, high latitude Scots pine (Pinus sylvestris L.) forests in Sweden, which has warmed by ≈1°C in a century, needles today (2012-2017) are 9-19% longer and have 30-31% shorter life-times than in 1914-15. These century-scale shifts in needle traits were detected by sampling 74 sites from 2012-2017 along the same transect first assessed at 57 sites in 1914-1915. Geographic variation in temperature strongly explained spatial patterns of needle length and longevity in both the early 20th and 21st centuries, with Scots pine from warmer sites further to the south having longer needles and shorter needle life-times than at colder, more northern sites. Moreover, the warming of climate along the transect in the past century has likely driven the temporal shift towards longer needles with shorter life-spans. The spatial and temporal variation in needle traits is both cause and consequence of variation in Scots pine tree growth rates, which tend to be higher in warmer times and places. These century-scale changes in Scandinavian Scots pine needles represent a fingerprint of climate change on a fundamental biological element, the leaf, which are likely to be mirrored by similar changes for evergreen conifers across the boreal biome.

opencc-by-4.0Jan 2022View details →

Combined Effects of Future Urban Growth and Climate Change on Irrigation Water Demand in Central Arizona

This dataset contains the simulation results of the combined effects of future urban growth and climate change on irrigation water use in the Phoenix Metropolitan Area, central Arizona. The simulation is conducted with the Variable Infiltration Capacity (VIC) model at 1-km, hourly resolution from 1981-2100 and aggregated to 30-yr average in this dataset.  The 30-yr average results are compressed and organized into three files: Baseline, ICLUS2050, and ICLUS2100. The Baseline file contains results using the historical land cover map (year 2010). The ICLUS2050 and ICLUS2100 contain results using future land cover maps. The filename of modeling results contains the associated land cover and climate change scenario as follows: "fluxes.irri.ICLUS_$YEAR_$LCSCE.$CLSCE.$GCM.nc", where $YEAR is the year of land cover change projection (2050 or 2100), $LCSCE is the land cover change scenario (SSP2 or SSP5), $CLSCE is the climate change scenario (RCP45 or RCP85), and $GCM is the GCM used (eight in total)  More details can be found on the associated paper (this record will be updated when the paper is published): Wang, Z., and Vivoni, E.R. 2021. Combined Effects of Future Urban Growth and Climate Change on Irrigation Water Demand in Central Arizona. Journal of the American Water Resources Association (in revision).

Using different body size measures can lead to different conclusions about the effects of climate change

<div> <div> <div> <div> Aim: Declining animal body size has been proposed as a general response to increasing global temperatures that should be observed across a broad biogeographical scale. However, published studies have shown large variation in both the magnitude and direction of body size trends. We aim to investigate how the way body size is measured (body mass, structural size, body condition) may contribute to differences in body size trends between studies. Location: Semi-arid Australia. Taxon: White-plumed honeyeater (Ptilotula penicillatus). Methods: We studied two separate populations of P. penicillatus over 30 years to investigate the associations between weather and body size. We first investigated how body mass has been affected by weather conditions at each site and then determined how these same local weather conditions affected the constituent components of body mass (structural size and body condition). Results: The magnitude and direction of weather effects differed with the measure of body size used. Average structural size (wing length) increased with increasing temperatures while average body condition decreased. As body mass is a composite of structural size and body condition, the magnitude and direction of body mass trends was affected by trends in these two other traits. For example, differences in temperature effects on structural size between our two sites led to clear differences in body mass trends. Main Conclusions: Trends in body size will be strongly affected by the choice of body size measure used in analyses. Change in body mass can be particularly difficult to interpret as it will be a composite of changes in both structural size and body condition. Our results indicate that it is difficult to compare studies using different measures of body size. Using consistent measures of body size will be important to better understand the general effects of climate change on body size. </div> </div> </div> </div>

Climate change impacts on seabirds and marine mammals: the importance of study duration, thermal tolerance and generation time

Understanding climate change impacts on top predators is fundamental to marine biodiversity conservation, due to their increasingly threatened populations and their importance in marine ecosystems. We conducted a systematic review of the effects of climate change (prolonged, directional change) and climate variability on seabirds and marine mammals. We extracted data from 484 studies (4808 published studies were reviewed), comprising 2215 observations on demography, phenology, distribution, diet, behaviour, body condition and physiology. The likelihood of concluding that climate change had an impact increased with study duration. However, the temporal thresholds for the effects of climate change to be discernible varied from 10 to 29 years depending on the species, the biological response and the oceanic study region. Species with narrow thermal ranges and relatively long generation times were more often reported to be affected by climate change. This provides an important framework for future assessments, with guidance on response- and region-specific temporal dimensions that need to be considered when reporting effects of climate change. Lastly, we found that tropical regions and non-breeding life stages were poorly covered in the literature, a concern that should be addressed to enable a better understanding of the vulnerability of marine predators to climate change.

Predators balance consequences of climate-change induced habitat shifts for range-shifting and resident species

While many species distributions are shifting poleward or up in elevation in response to a changing climate, others are shifting their habitats along localized gradients in environmental conditions as abiotic conditions become more stressful. Whether species are moving across regional or local environmental gradients in response to climate change, range-shifting species become embedded in established communities of competitors and predators. The consequences of these shifts for both resident and shifting species are often unknown, as it can be difficult to isolate the effects of multiple species interactions. Using a model system of insects in high-elevation ponds in the Rocky Mountains of Colorado, we sought to disentangle the effects of predation and intraguild interactions on the survival and development of a semi-permanent pond resident caddisfly Limnephilus externus and the habitat-shifting caddis Asynarchus nigriculus that is being forced into semi-permanent ponds as temporary ponds dry too quickly to complete development. We conducted a manipulative in-situ pond cage experiment in which L. externus and A. nigriculus caddisfly larvae in single-species treatments and together were exposed to the presence/absence of predatory Dytiscus diving beetle larvae. This approach allowed us to isolate the effects of intraguild interactions and predation on the survival and development of both the resident and habitat-shifting species. We found that intraguild interactions had strong negative effects on the resident and habitat-shifting species. Intraguild interactions reduced the survival of the resident L. externus and increased the variation in survival of the shifting A. nigriculus. However, Dytiscus predators reduced these negative effects, stabilizing the community by increasing L. externus survival and reducing variation in A. nigriculus survival. We also found that intraguild interactions reduced L. externus biomass but resulted in increased A. nigriculus development. A. nigriculus development was also increased by predation. Our results show that strong intraguild interactions between resident and shifting species are likely to have negative consequences for both species. However, the presence of predators reduces these negative consequences of the habitat shift on both the resident and the shifting.

Data from: Northwest range shifts and shorter wintering period of an Arctic seabird in response to four decades of changing ocean climate

Climate change is altering the marine environment at a global scale, with some of the most dramatic changes occurring in Arctic regions. These changes may affect the distribution and migration patterns of marine species throughout the annual cycle. Species distribution models have provided detailed understanding of the responses of terrestrial species to climate changes, often based on observational data; biologging offers the opportunity to extend those models to migratory marine species that occur in marine environments where direct observation is difficult. We used species distribution modelling and tracking data to model past changes in the non-breeding distribution of thick-billed murres Uria lomvia from a colony in Hudson Bay, Canada, between 1982 and 2019. The predicted distribution of murres shifted during fall and winter. The largest shifts have occurred for fall migration, with range shits of 211 km west and 50 km north per decade, compared with a 29 km shift west per decade in winter. Regions of range expansions had larger declines in sea ice cover, smaller increases in sea surface temperature, and larger increases in air temperature than regions where the range was stable or declining. Murres migrate in and out of Hudson Bay as ice forms each fall and melts each spring. Habitat in Hudson Bay has become available later into the fall and earlier in the spring, such that habitat in Hudson Bay was available for 21 d longer in 2019 than in 1982. Clearly, marine climate is altering the distribution and annual cycle of migratory marine species that occur in areas with seasonal ice cover.