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.
214
datasets available to search
ShareScore release 0.9.0
Dataset results
214 results for “Climatic variables”
Dataset of soil, climatic and stand variables in Pinus sylvestris and Pinus halepensis plantations in Spain
<p>Soil, climatic and stand variables measured in 35 <em>Pinus sylvestris</em> and 32 <em>Pinus halepensis </em>plantations in Castilla y León region (Spain)</p>
Inferring current and Last Glacial Maximum distributions are improved by physiology-relevant climatic variables in cold-adapted ectotherms
<p>Table with the occurrence data at 10 min resolution (~20 x 20 km) for <em>Vipera berus</em> and <em>Zootoca vivipara</em>, used in Guillon et al. 2024, Inferring current and Last Glacial Maximum distributions are improved by physiology-relevant climatic variables in cold-adapted ectotherms. <a href="https://doi.org/10.1111/jbi.14828">https://doi.org/10.1111/jbi.14828</a></p>
Drivers and mechanisms that contribute to microbial β-diversity patterns and range sizes in mountains across a climatic variability gradient
<p>Microbial communities are highly diverse, yet the mechanisms underlying microbial community assembly are not well understood. Janzen's mountain passes hypothesis proposed that climatic barriers and dispersal limitation shape communities to a greater extent in mountains with lower climatic variability and overlap, permitting higher levels of species coexistence. Here, we investigate changes in microbial community dissimilarities, distributional range sizes and ecological processes along elevational gradients in three montane ecosystems representing a climatic variability gradient. We found that climate, climatic variability and spatial distance play dominating roles in affecting microbial β-diversity patterns and range sizes along elevational gradients. Janzen's mountain passes hypothesis can be applied for microbial community assembly: mountains with lower climatic variability and higher climatic difference between elevations exhibited higher β-diversity, higher endemism, lower range sizes, and steeper distance-decay trends. However, microbial communities experience clear climate-driven limited range sizes and dispersal processes and show typical endemic patterns in all mountain ecosystems. Our results emphasize the importance of dispersal and climatic niche processes in shaping montane biodiversity. As a result, changes in climate may significantly impact soil biodiversity in montane ecosystems by altering the effects of dispersal limitation and climatic variability on bacterial and fungal community composition along elevational gradients.</p>
Variable influence of photosynthetic thermal acclimation on future carbon uptake in Australian wooded ecosystems under climate change
<p><span>Climate change will impact gross primary productivity (GPP), net primary productivity (NPP), and carbon storage in wooded ecosystems. The extent of change will be influenced by thermal acclimation of photosynthesis – the ability of plants to adjust net photosynthetic rates in response to growth temperatures – yet regional differences in acclimation effects among wooded ecosystems are currently unknown. We examined the effects of changing climate on 17 Australian wooded ecosystems with and without the effects of thermal acclimation of C<sub>3</sub> photosynthesis. Ecosystems were drawn from five ecoregions (tropical savanna, tropical forest, Mediterranean woodlands, temperate woodlands, and temperate forests) that span Australia's climatic range. We used the CABLE-POP land surface model adapted with thermal acclimation functions and forced with HadGEM2-ES climate projections from RCP8.5. For each site and ecoregion, we examined a) effects of climate change on GPP, NPP, and live tree carbon storage; and b) impacts of thermal acclimation of photosynthesis on simulated changes. Between the end of the historical (1976–2005) and projected (2070–2099) periods, simulated annual carbon uptake increased in the majority of ecosystems by 26.1 to 63.3% for GPP and 15 to 61.5% for NPP. Thermal acclimation of photosynthesis further increased GPP and NPP in tropical savannas by 27.2% and 22.4% and by 11% and 10.1% in tropical forests with positive effects concentrated in the wet season (tropical savannas) and the warmer months (tropical forests). We predicted minimal effects of thermal acclimation of photosynthesis on GPP, NPP and carbon storage in Mediterranean woodlands, temperate woodlands and temperate forests. Overall, positive effects were strongly enhanced by increasing CO<sub>2</sub> concentrations under RCP8.5. We conclude that the direct effects of climate change will enhance carbon uptake and storage in Australian wooded ecosystems (likely due to CO<sub>2</sub> enrichment) and that benefits of thermal acclimation of photosynthesis will be restricted to tropical ecoregions.</span></p>
Data of monthly climate variables and drought indices within continental Chile for 1981-2023
<p>The dataset contains derived climatic data from ERA-5 at monthly frequency for continental Chile. The variables are:</p><ul><li>Precipitation (pre)</li><li>Minimum temperature (tas_min)</li><li>Mean temperature (tas)</li><li>Maximum temperature (tas_max)</li><li>Reference evapotranspiration (pet)</li><li>Snow water eqivalent (swe)</li><li>Soil volumetric water content at 1m depth (sm)</li></ul><p>Besides, the dataset contains the follwoing derived drough indices:</p><ul><li>Standardized Precipitation Index (SPI) for 1, 3, 6, 12, 24, and 36 months (spi_1<i> to </i>spi<i>_</i>36)</li><li>Standardized Precipitation Evapotranspiration Index (SPEI) for 1, 3, 6, 12, 24, and 36 months (spei_1<i> to </i>spei<i>_</i>36)</li><li>Evaporative Demand Drought Index (EDDI) for 1, 3, 6, 12, 24, and 36 months (eddi_1<i> to eddi_</i>36)</li><li>Anomaly of cumulative soil moisture at 1m depth (zcSM) for 1, 3, 6, 12, 24, and 36 months (zcsm_1<i> to zcsm_</i>36)</li><li>Anomaly of cumulative NDVI (zcNDVI) for 1, 3, and 6 months (zcndvi<i>1 to zcndvi</i>6)</li><li>Snow Water Equivalent Index (SWEI)</li></ul><p> </p>
Glacier model simulations of moraine building forced by interannual variability in climate
<p>A set of 2,000-year simulations of moraine building by a glacier flowing through a synthetic alpine landscape forced by interannual variability in weather imposed on an otherwise stable climate. Moraine relief is shown for a standard deviation in mean annual air temperature (dT) of 0.5°C, 1.5°C, and 3.0°C around a long-term mean of 7.0°C. Simulations were made using the ice-flow model iSOSIA (Egholm et al., 2011, <em>Geomorphology</em>).</p>
Data from: Net plant interactions are highly variable and weakly dependent on climate at the global scale
<p>Data were collected from the literature. The dataset is a compilation of published studies.</p> <p>An ISI Web of Science search covering the time period from 1900 onwards was conducted to identify the publications on plant interactions. Each publication was individually reviewed, and the reference list was inspected to identify additional relevant publications. We collected a total 1,220 publications for data compilation. We built a global dataset of 10,502 pairs of plant interaction data.</p>
Elevational and local climate variability predicts thermal breadth of mountain tropical tadpoles
<p>The climate variability hypothesis posits that increased environmental thermal variation should promote species with broader thermal tolerance breadths, while stable environments should promote thermal specialists. This hypothesis has been tested on large spatial scales, such as latitude and elevation, but less so on smaller scales which reflect the experienced microclimate. Here, we estimated thermal tolerance limits of 75 species of amphibian tadpoles from an aseasonal tropical mountain range of the Ecuadorian Andes, distributed along a 3500 m elevational range, to test the climatic variability hypothesis at a large (elevation) and a small (microhabitat) scales. We show how species from less variable thermal habitats, such as lowlands and those restricted to streams, exhibit narrower thermal tolerance breadths than highland and pond-dwelling species respectively. Interestingly, while broader thermal tolerance breadths at large scales are driven by higher cold tolerance variation (heat-invariant hypothesis), at local scales they are driven by higher heat tolerance variation. This contrasting pattern may result from divergent selection on both thermal limits to face environmental thermal extremes at different scales. Specifically, within the same elevational window, exposure to extreme maximum temperatures could be avoided through habitat shifts from temporary ponds to permanent ponds or streams, while minimum peak temperatures remained invariable between habitats but steadily decreased with elevation. Therefore addressing the effects of habitat conversion is crucial for future research on resilience to climate change.</p>
Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting
<p>The dataset contains time series of surface soil moisture at three locations, namely Idaho, Indiana, and Oklahoma.</p> <p>For each location, the folder contains multiple gif images, one for each year, each containing 12 frames corresponding to monthly averages.</p> <p>More information at </p> <p>https://github.com/gtsagkatakis/ETCN</p>
Replication of manuscript entitled "Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates"
<p>Replication of manuscript entitled "Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates".</p> <p>This page contains datasets used to replicate figures in a manuscript entitled "Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates". These ascii or netcdf files can be easily read by NCL, Fortran and others.</p> <p> </p>
Data from: Leaf morphological traits show greater responses to changes in climate than leaf physiological traits and gas exchange variables
<p>Adaptation to changing conditions is one of the strategies plants use to survive climate change. Here, we ask whether plants' leaf morphological and physiological traits/gas exchange variables have changed in response to recent, anthropogenic climate change. We grew seedlings from resurrected historic seeds from <em>ex-situ </em>seed banks and paired modern seeds in a common-garden experiment. Species pairs were collected from regions that had undergone differing levels of climate change using an emerging framework – Climate Contrast Resurrection Ecology, allowing us to hypothesise that regions with greater changes in climate (including temperature, precipitation, climate variability and climatic extremes) there would be greater trait responses in leaf morphology and physiology over time. Our found that in regions where there were greater changes in climate, there were greater changes in average leaf area, leaf margin complexity, leaf thickness and leaf intrinsic water use efficiency. Changes in leaf roundness, photosynthetic rate, stomatal density and the leaf economic strategy of our species were not correlated with changes in the climate. Our results show that leaves do have the ability to respond to changes in climate, however, there are greater inherited responses in morphological leaf traits than in physiological traits/variables, and greater responses to extreme measures of climate than gradual changes in climatic means. It is vital for accurate predictions of species' responses to impending climate change to ensure that future climate change ecology studies utilise knowledge about the difference in both leaf trait and gas exchange responses, and the climate variables that they respond to.</p>
Morphometrics of mallards in the Lower Mississippi Alluvial Valley and associated climate variables from 1979-2021
<p>Body mass in overwintering waterfowl is an important fitness attribute as it affects winter survival, timing of spring migration, and subsequent reproductive success. Recent research in Europe and the western United States indicates body mass of mallards (<em>Anas platyrhynchos</em>) has increased from the late 1960s to early 2000s. The underlying mechanism is currently unknown; however, researchers hypothesize that increases are due to a more benign winter climate, increased food availability through natural and artificial flooding, introgression of wild mallard populations by game-farm mallards, or shifting of wintering distributions northward. Further investigation of factors related to winter mallard body mass increases and whether this phenomenon is occurring in other major flyways could increase understanding of intrinsic and extrinsic variables influencing waterfowl fitness. We collected and analyzed mallard body mass data in the Lower Mississippi Alluvial Valley from 1979 to 2021 to determine sources of temporal variation. We measured hunter-harvested mallards from private hunting clubs, public hunting areas, and duck-plucking businesses. Mallard body mass increased by approximately 6% among all age-sex classes from 1979 to 2021. We also compiled weather data (rainfall [cm], weather severity index information [WSI], river gage discharge [cfs] and height [m]) to relate to mallard body mass measurements.</p>
Data supplement to 'Orbital (Hydro)Climate Variability in the Ice-Free early Eocene Arctic'
<p>Data supplement to 'Orbital (Hydro)Climate Variability in the Ice-Free early Eocene Arctic'.</p> <ul> <li><strong>Table T1</strong>: Bulk magnetic susceptibility data.<br><br></li> <li><strong>Table T2</strong>: GDGT analysis results. Integrated peak areas of isoprenoid and branched GDGTs, several GDGT ratio's,SST and SubT data, and indicators for TEX86 outliers.<br><br></li> <li><strong>Table T3</strong>: Color analysis data. Mean greyscale values, generated on 1-cm resolution from the core picture.<br><br></li> <li><strong>Table T4</strong>: Palynology data. This file contains concentrations and relative abundances of low salinity tolerant dinoflagellate cysts, normal marine dinoflagellate cysts and terrestrial palynomorphs.<br><br></li> <li><strong>Table T5</strong>: Age-depth tie points. The age depth constraints based on the positions of ETM2, H2, and four identified eccentricity maxima in the pre-ETM2 interval.</li> </ul> <p>All reported data was generated on samples from Arctic Coring EXpedition (ACEX; IODP 302) Site M0004a, Core 27X.</p>
Data for "Why Climate Sensitivity may be Constrained by Observable Natural Variability"
<p>Surface temperature and top-of-atmosphere radiation data from a 700-yr CO<sub>2</sub>-doubling experiment performed with the fully-coupled CESM1. Given on the CAM5 native grid (1 degree nominal resolution) as annual means. </p> <p>Data include annual TS (radiative surface temperature; in K), FLNT (net longwave radiation out at top-of-atmosphere), FSNT (net shortwave radiation in at top-of-atmosphere), FLNTC (net clear-sky longwave radiation out at top-of-atmosphere) and FSNTC (net clear-sky shortwave radiation out at top-of-atmosphere).</p>
Atmospheric and sea ice model fields from the perturbed parameter ensemble E3SMv0-HILAT used to examine emergent relationships among climate variables in the Arctic
<p>These files contain time series of several sea ice ad atmospheric fields produced in an ensemble of perturbed parameter simulations using the E3SMv0-HiLAT model. The time series are used to produced seasonal means, which are used to examine emerging relationships in the ensemble discussed in our manuscript, as of September 2019, in review at JGR</p>
Data for manuscript "Evidence for large-scale climate forcing of dense shelf water variability in the Ross Sea"
<p>Relevant data shown in figures of the manuscript "Evidence for large-scale climate forcing of dense shelf water variability in the Ross Sea"</p>
Supplementary files: Machine Learning Insights into Türkiye's Climate Variability: Predictive Modelling and Spatial Analysis
<p>This dataset and python code were used in the study titled "Machine Learning Insights into Türkiye's Climate Variability: Predictive Modelling and Spatial Analysis".</p>
Code and figure data from "Projections of northern hemisphere extratropical climate underestimate internal variability and hence uncertainty"
<p>Code and figure data from "Projections of northern hemisphere extratropical climate underestimate internal variability and hence uncertainty".</p>
Data for: The climatic variability hypothesis and trade–offs in thermal performance in coastal and inland populations of Mimulus guttatus
<p>Ecologists and evolutionary biologists have long predicted that organisms in more climatically variable environments should be adapted to handle a wider range of conditions. This intuitive idea, known as the Climatic Variability Hypothesis, has gained mixed support from empirical studies. We tested the Climatic Variability Hypothesis in a novel system by comparing the thermal breadth of coastal and inland populations of <em>Mimulus guttatus</em>. To quantify thermal breadth, we performed a thermal performance experiment and built performance curves. Using these performance curves, we also evaluated evidence for a breadth–performance trade–off and the Hotter–is–Better hypothesis. We did not find support for the Climatic Variability Hypothesis; coastal and inland populations did not differ in thermal breadth. However, we found evidence for a breadth performance trade–off and the Hotter–is–Better hypothesis. Surprisingly, the two most inland populations differed the most in the thermal performance traits we evaluated. Our results highlight the importance of explicitly measuring thermal performance to test explanations of species distribution patterns and the need to examine alternative mechanisms by which organisms occupy different climatic regimes.</p>
Range restriction, climate variability, and human-related risks imperil lizards worldwide
Aims: Identifying major reasons for species imperilment is a necessary step for conservation, yet the degree to which we can generalize is hard for species-rich yet less-studied taxa, such as lizards. Here, we aim to bridge the gap by providing comprehensive analyses of the correlates and processes of species extinction and threats for global lizards. Location: Global Time period: Current Major taxa studied: Lizards Methods: We compiled a dataset comprising extinction risk status, six intrinsic traits, and seven extrinsic factors for 5256 lizard species. We carried out binomial distribution tests for 43 families and seven realms to check the non-randomness in species' extinction risk and then employed phylogenetic linear regressions to identify the key factors that relate to the extinction proneness of lizards and species subgroups. Based on the IUCN threat assessment, we identified major threats for global lizards and for major families and regions. Results: We found strong evidence of taxonomic and geographical non-randomness in the extinction risk of lizards. Geographical range size, human footprint and density, insular endemism, temperature and precipitation seasonality, and body size were key predictors of extinction risk, and the first three factors were also important across families and realms. Moreover, newly described species were more likely to have a restricted range size and a higher extinction risk. Globally, the most detrimental threat was habitat destruction, while overexploitation, species invasion, and climate change varied widely in importance among species groups. Main conclusions: Overall, we highlight the detrimental influences of range restriction, climate variability, and anthropogenic threats to species persistence. We suggest that lizards are potentially at high risk of extinction due to widespread human disturbance and species with extinction-prone traits require conservation prioritization. Moreover, lizards of different families and regions require different management strategies because of variation in extinction-risk correlates and threats. --
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.