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.
14
datasets available to search
ShareScore release 0.9.0
Dataset results
14 results for “climate manipulation”
Manipulation of netCDF data with R for climate change research: Multi-model analysis for CMIP5 models.
<p>Geoscientists now live in a world with an exponential growth in digital data and methods.<br> Climate change studies usually describe computational methods informally. Climate scientists seek to<br> share their information, the justification of reproducible research has received increasing attention in<br> geosciences. To have it in an open-source format makes it easier to interchange not only with fellow<br> scientists but also a variety of sources including funders, publishers, and journalists. R is a open-source<br> computer language powerful and highly extensible that can promotes reproductive science techniques in a<br> easier way. R is highly accessible for non-computational scientists when coupled with packages like<br> ‘raster', ‘netcdf', ´rgdal`and ‘rasterVis', R enables scientists to make sense of their data and to carry out<br> complex data analysis. In this paper we have assessed the power of R language for manipulating climate<br> data from a huge dataset: the Coupled Model Intercomparison Project Phase 5 (CMIP5). Moreover we<br> have proposed an example of best practices to handle model ensembles. This is the first study to our<br> knowledge to promote best practices for CMIP5 ensemble. The NetCDF data accessible to R via raster<br> package capabilities provides efficient access to the multi-model, with crucial applications in climate<br> change research. In recent years more than 100 peer-reviewed scientific publications have used the<br> CMIP5 data sets. We envision that in the near future (5-10 years), scientists will use radically new tools<br> to author papers and disseminate information about the process and products of their research.</p>
Precipitation manipulation and terrestrial carbon cycle: the roles of treatment magnitude, experimental duration, and background climate
<p><b>Aim: </b><a name="_Hlk62140683">Precipitation manipulation experiments have shown diverse terrestrial carbon (C) cycling responses when the ecosystem is subjected to different magnitudes of altered precipitation, various experimental durations, or heterogeneity in local climates. However, how these factors combine to affect C cycle responses to changes in precipitation remains unclear.</a></p> <p><b>Location</b>: Global.</p> <p><b>Time period</b>: 1990–2019.</p> <p><b>Major taxa studied</b>: Terrestrial ecosystems.</p> <p><b>Methods</b>: Using observations from 230 published studies in which precipitation was manipulated and terrestrial C cycling variables were measured, we conducted a global meta-analysis to investigate responses of diverse C cycle processes to altered precipitation, including gross ecosystem productivity, ecosystem respiration, net ecosystem productivity, ecosystem carbon use efficiency, net primary productivity, aboveground and belowground net primary productivity, aboveground and belowground biomass, shoot:root ratio, soil respiration, and soil microbial biomass C.</p> <p><b>Results</b>: <a name="_Hlk50913646"></a><a name="_Hlk62140761">We found that C cycling responses correlated linearly and positively with the magnitude of precipitation treatments, in that C cycling variables increased under increased precipitation, and decreased under decreased precipitation. </a>We also detected that the responses of net primary productivity (NPP) and its aboveground component (ANPP) to altered precipitation weakened with experimental duration. Furthermore, gross ecosystem productivity, ecosystem respiration, and net ecosystem productivity had larger responses to precipitation treatments of greater magnitude over shorter time periods. The response of soil respiration, a key component of the C budget in most terrestrial ecosystems, particularly depended on the background climate. Local temperature and precipitation not only influenced the magnitude of the response of soil respiration to altered precipitation but also affected its sensitivity to the magnitude of the precipitation treatments, with higher sensitivities in the response of soil respiration to treatment magnitude at drier and colder sites.</p> <p><b>Main conclusions</b>: <a name="_Hlk62140806">Our findings highlight the importance of the interactions between the magnitude of precipitation treatments, their duration, and local climate in the response of ecosystem C cycling to precipitation, which is critical to better understanding and projecting ecosystem C processes and functioning under changing precipitation regimes.</a></p>
Precipitation manipulation and terrestrial carbon cycling: the roles of treatment magnitude, experimental duration, and local climate
Open the record for dataset details and reuse information.
Data from: Phenological responses to multiple environmental drivers under climate change: insights from a long-term observational study and a manipulative field experiment
Open the record for dataset details and reuse information.
Data from: Prairie plant phenology driven more by temperature than moisture in climate manipulations across a latitudinal gradient in the Pacific Northwest, USA
Open the record for dataset details and reuse information.
Climate manipulations differentially affect plant population dynamics within versus beyond northern range limits
<ol> <li>Predicting species' range shifts under future climate is a central goal of conservation ecology. Studying populations within and beyond multiple species' current ranges can help identify whether demographic responses to climate change exhibit directionality, indicative of range shifts, and whether responses are uniform across a suite of species.</li> <li>We quantified the demographic responses of six native perennial prairie species planted within and, for two species, beyond their northern range limits to a three-year experimental manipulation of temperature and precipitation at three sites spanning a latitudinal climate gradient in the Pacific Northwest, USA. We estimated population growth rates <span>(</span><span>λ</span><span>) </span>using integral projection models and tested for opposing responses to climate in different demographic vital rates (demographic compensation).</li> <li>Where species successfully established reproductive populations, warming negatively affected <span>λ</span> at sites within species' current ranges. Contrarily, warming and drought positively affected <span>λ</span> for the two species planted beyond their northern range limits. Most species failed to establish a reproductive population at one or more sites within their current ranges, due to extremely low germination and seedling survival. We found little evidence of demographic compensation buffering populations to the climate treatments.</li> <li> <i>Synthesis: </i>These results support predictions across a suite of species that ranges will need to shift with climate change as populations within current ranges become increasingly vulnerable to decline. Species capable of dispersing beyond their leading edges may be more likely to persist, as our evidence suggests that projected changes in climate may benefit such populations. If species are unable to disperse to new habitat on their own, assisted migration may need to be considered to prevent the widespread loss of vulnerable species.</li> </ol>
Data from: Short-term climate change manipulation effects do not scale up to long-term legacies: effects of an absent snow cover on boreal forest plants
1. Despite time lags and non-linearity in ecological processes, the majority of our knowledge about ecosystem responses to long-term changes in climate originates from relatively short-term experiments. 2. We utilized the longest ongoing snow removal experiment in the world and an additional set of new plots at the same location in northern Sweden to simultaneously measure the effects of long-term (11 winters) and short-term (1 winter) absence of snow cover on boreal forest understorey plants, including effects on root growth and phenology. 3. Short-term absence of snow reduced vascular plant cover in the understorey by 42%, reduced fine root biomass by 16%, reduced shoot growth by up to 53%, and induced tissue damage on two common dwarf shrubs. In the long-term manipulation, more substantial effects on understorey plant cover (92% reduced) and standing fine root biomass (39% reduced) were observed, whereas other response parameters, such as tissue damage, were observed less. Fine root growth was generally reduced, and its initiation delayed by c. 3 (short-term) to 6 weeks (long-term manipulation). 4. Synthesis We show that one extreme winter with a reduced snow cover can already induce ecologically significant alterations. We also show that long-term changes were smaller than suggested by an extrapolation of short-term manipulation results (using a constant proportional decline). In addition, some of those negative responses, such as frost damage and shoot growth, were even absolutely stronger in the short-term compared to the long-term manipulation. This suggests adaptation or survival of only those individuals that are able to cope with these extreme winter conditions, and that the short-term manipulation alone would over-predict long-term impacts. These results highlight both the ecological importance of snow cover in this boreal forest, and the value of combining short- and long-term experiments side by side in climate change research.
Non-native species outperform natives in coastal marine ecosystems subjected to warming and freshening events - A meta-analysis of coastal marine native and non-native species responses to experimentally manipulated climatic events
<p><b>Aims</b>: Contemporary climate change and biological invasions are two main drivers of biodiversity redistribution. Interactive effects between these drivers have been reported in a number of study systems, yet results are conflicting. Some studies find that future climate change facilitates the spread and success of non-native species, especially those with broad physiological tolerances. Other studies conclude that non-natives are vulnerable to current and future changes in climatic conditions. Given that most studies have focused on terrestrial species, here we contribute to this debate by analysing responses of coastal native and non-native fauna and flora to key climate-related stressors namely increased temperature (warming) and decreased salinity (freshening).</p> <p><b>Location: </b>Global.</p> <p><b>Time period: </b>2002 – 2019.</p> <p><b>Major taxa studied: </b>Marine benthic<b> </b>macrophytes and invertebrates.</p> <p><b>Methods</b>: We conducted a meta-analysis of results from experiments investigating the performance (e.g., growth, survival and reproduction) of sessile and sedentary species from benthic marine communities to warming and freshening.</p> <p><b>Results</b>: We found evidence of positive responses to elevated temperature across a range of biological processes on non-native species, whereas the performance of native species declined. Similarly, decreased salinity negatively affected the biological processes of native species, but non-natives<span> showed no positive or negative overall response to freshening</span>.</p> <p><b>Main conclusions:</b> Our study showed that non-native species outperform natives under a wide variety of warming and freshening conditions. The growth and reproduction of non-natives are enhanced by warmer temperatures, and thus ocean warming is expected to facilitate future spread and success of non-native species. Increased freshening, however, <span>will likely have a negative impact in the future in both native and non-native species and thus is expected to be a driver of significant change in coastal marine ecosystems. Our</span> comprehensive literature search revealed the need of more <span>studies </span>focusing on s<span>alinity changes and highlighted the need to expand our understanding of climate change drivers beyond warming.</span></p>
Data from: Does adaptation to historical climate shape plant responses to future rainfall patterns? A rainfall manipulation experiment with common ragweed
Open the record for dataset details and reuse information.
Data from: Isotopic methods for non-destructive assessment of carbon dynamics in shrublands under long-term climate change manipulation
Open the record for dataset details and reuse information.
Non-native species outperform natives in coastal marine ecosystems subjected to warming and freshening events - A meta-analysis of coastal marine native and non-native species responses to experimentally manipulated climatic events
Open the record for dataset details and reuse information.
Data from: Transgenerational and within-generation plasticity in response to climate change: insights from a manipulative field experiment across an elevational gradient
Open the record for dataset details and reuse information.
Climate manipulations differentially affect plant population dynamics within versus beyond northern range limits
Open the record for dataset details and reuse information.
Data from: Short-term climate change manipulation effects do not scale up to long-term legacies: effects of an absent snow cover on boreal forest plants
Open the record for dataset details and reuse information.
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.