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387 results for “climate adaptation”

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Figure 3 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay

Figure 3. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in summer and autumn.

opencc-by-4.0Nov 2020View details →
zenodo40/100

Figure 2 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay

Figure 2. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in winter and spring

opencc-by-4.0Nov 2020View details →
zenodo40/100

Fig. 3 in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change

Fig. 3. Flow chart outlining factors that can influence the response of parasites to climate change.

opencc-by-4.0Aug 2020View details →
zenodo40/100

Climate Change Adaptive Resilience Analysis Dataset

<p><span>Greenhouse gas escalation and severely deteriorated environment with global warming and climate change impose substantial difficulties in energy resilience for adaption and mitigation of climate change and zero-carbon transitions. However, uncertainties in supply-demand from climate change and climate-adaptive resilience for electrified and integrative PV-battery-building systems remain unclear. In this research, following </span><span>zero-energy building design principles and innovative U-value/M-value battery sizing methods</span><span>, a </span><span>tailored</span><span> </span><span>&lsquo;kWp-kWh-m<sup>2</sup>&rsquo; design approach is proposed with </span><span>intrinsic relationships of prosumer-storage</span><span> to achieve renewable self-sufficiency and avoid battery oversizing</span><span> in both centralized and distributed forms.<a name="OLE_LINK1"></a> Comprehensive analysis is conducted by assessing economic-environmental indicators, such as levelized costs of storage, net present values, decarbonization potentials, and policy incentives, followed by the evaluation of provincial system configurations considering energy system variations across diverse climate change conditions and geographic areas. </span><span>Results reveal significant regional variations induced by climatic conditions, resource availability, local grid energy structure, and electricity prices. Notably, the long-term economic-ecological viability of the proposed PV-battery-building system is highlighted, especially with optimal battery integrations. As climate change progresses, the research provides invaluable guidelines for zero-energy transitions from optimal system design, provincial-level system configurations, and performance evaluation, guiding the strategic investment and targeted policy interventions towards sustainability transformations.</span></p> <p><span>The comprehensive dataset encompasses 25-year time series of instantaneous photovoltaic (PV) generation, building electricity demand, PV-battery system performance, and battery capacity sizing procedures across five distinct climatic regions in China. This data accounts for the impacts of different climate change scenarios, including the typical year as well as the Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5 for the years 2020, 2030, 2060, and 2100.&nbsp;</span></p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Japanese Small-scale fishers adaptive capacity and furthest response to climate change

<p>The database contains data collected from 25 communities along the western coast of Shikoku, Japan, between January and March 2023. It includes values of adaptive capacity indicators aligned with the adaptive capacity domains outlined by Cinner and Barnes (2019). Additionally, the dataset captures fishers' responses to climate change, following the adaptation pathways proposed by Fedele et al. (2019) and Ojea et al. (2020).<br><br>References:&nbsp;</p> <p>Fedele, G., Donatti, C. I., Harvey, C. A., Hannah, L. &amp; Hole, D. G. Transformative adaptation to climate change for sustainable social-ecological systems. <em>Environmental Science &amp; Policy</em> <strong>101</strong>, 116&ndash;125 (2019).</p> <p>Cinner, J. E. &amp; Barnes, M. L. Social Dimensions of Resilience in Social-Ecological Systems.&nbsp;<em>One Earth</em> <strong>1</strong>, 51&ndash;56 (2019).</p> <p>Ojea, E., Lester, S. E. &amp; Salgueiro-Otero, D. Adaptation of Fishing Communities to Climate-Driven Shifts in Target Species. One Earth 2, 544&ndash;556 (2020).</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

Urban nature-based solutions to climate change adaptation database

<p>This dataset is the result of a systematic mapping of the application of nature-based solutions (NbS) to climate change adaptation in urban areas across the world. We screened 823 potential urban NbS to climate adaptation, which resulted in the inclusion of 216 interventions worldwide from 130 cities in 55 countries within our dataset. We analysed each of the NbS according to key characteristics in terms of how these interventions are helping cities confront the grave climate change, biodiversity, and related social challenges they are facing. We further analyse the capacity for each NbS to affect change in the city it is implemented within, which ranges from incremental (shallow) change to reformistic (middle ground) and finally transformative (deep) change.&nbsp;The full range of climate, biodiversity, and social challenges, as well as further discussion on the meaning of these different levels of change, is described in the attached file in the coding template tab.&nbsp;</p> <p>The results and analysis of this database (v 1.0.0) appear in the following article:</p> <p>Goodwin, S., M. Olazabal, A. Castro, U. Pascual. &quot;Global mapping of urban nature-based solutions for climate change adaptation&quot;.&nbsp;<em>Nature Sustainability. doi:&nbsp;<a href="http://doi.org/10.1038/s41893-022-01036-x">10.1038/s41893-022-01036-x&nbsp;</a></em></p> <p><strong>A read-only&nbsp;version of this article can be found online for free <a href="https://rdcu.be/c4tjk">here</a>.</strong></p> <p>For any use of this dataset, please cite this dataset along with the associated publication in Nature Sustainability. Please report any errors or omissions to Sean Goodwin.</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Indicators and metrics in local climate adaptation plans

<p>This dataset gathers information related to indicators and metrics collected from 11 local climate adaptation plans in worldwide cities -&nbsp; Athens (Greece), Auckland (USA), Barcelona (Spain), Glasgow (UK), Istanbul (Turkey), Lima (Peru), Los Angeles (USA), Montreal (Canada), Nagoya (Japan), New York City (USA), Portland (USA), Tokyo (Japan) and Vancouver (Canada). The dataset describes the use and characteristics of adaptation indicators and metrics across climate adaptation-related planning documents. Although the sample is relatively small, it is a reflection of the global embryonic stage of adaptation metrics practice.</p> <p>The results of the analysis of this database have been published in:</p> <p>Goonesekera, S. M., &amp; Olazabal, M. (2022). Climate adaptation indicators and metrics: State of local policy practice. <em>Ecological Indicators</em>, <em>145</em>, 109657. <a href="https://doi.org/10.1016/j.ecolind.2022.109657">https://doi.org/10.1016/j.ecolind.2022.109657</a> (OPEN ACCESS)</p>

opencc-by-4.0Nov 2021View details →
zenodo40/100

VCF file from: Signatures of local adaptation to current and future climate in phenology-related genes in natural populations of Quercus robur

<p>Qrob_seqcap_87_18799.vcf - containing 18,799 single nucleotide variants (SNPs) in phenology-related genes in 87 individuals of Quercus robur from 6 populations,&nbsp;described in Meger&nbsp;et al.</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Climatic adaptation explains responses to Pleistocene oscillations and diversification in European vipers

<p>Table with the occurrence data at&nbsp;10 min resolution (~20x20 km) for 24 lineages of the genus <em>Vipera,&nbsp;</em>used in &quot;Climatic adaptation explains responses to Pleistocene oscillations and diversification in European vipers&quot;.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Fig. 1 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)

Fig. 1 – Relationship between activity and temperature in some tenebrionid species in Palestine investigated by Bodenheimer (1934). Activity intensity is expressed by the following rank scale: (1) cold-torpor, (2) only weak, occasional movements of legs and antennae, (3) crawling with interruptions, (4) normal activity, (5) high activity, (6) excited activity, (1) heat-torpor, (0) heat-death. Redrawn from Fattorini (2008) with corrections. Inset: Zophosis punctata (photo S. Fattorini).

opencc-by-4.0May 2023View details →
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Fig. 2 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)

Fig. 2 – Diel and monthly activity patterns of tenebrionid beetles of Mediterranean dunes. A, diel activity of Erodius siculus in Latium (Central Italy) in May 1997; B, diel activity of Pimelia bipunctata in Latium (Central Italy) in March 1997; C, diel activity of Pimelia bipunctata in the same locality in May 1997. In these experiments, activity was measured as number of individuals intercepted by pitfall traps per hour in single days. After counting, beetles were immediately released. N: number of trapped individuals per hour. Ta: ambient temperature (°C), Ti: soil internal (3-4 cm depth) temperature (°C), Ts: soil surface temperature (°C). D, Phenological patterns of Erodius siculus in Latium (Central Italy) and Sicily (Southern Italy). Phenologies are expressed as number of locations in which the species has been recorded in each month over a period of a century (from 1897 to 1997). A and D are based on Di Stefano &amp; Fattorini (2002). B and C are based on Fattorini &amp; Di Stefano (2004). Photos: courtesy of L. Di Biase.

opencc-by-4.0May 2023View details →
dryad40/100

Simulated data and code from: Socio-economic predictors of Inuit hunting choices and their implications for climate change adaptation

<p>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 <strong><a href="https://doi.org/10.5061/dryad.bnzs7h4h4">10.5061/dryad.bnzs7h4h4</a>.</strong></p> Summary <p>Repository of R and Stan code to simulate and analyse foraging trip data (patch choice and harvest success).</p> <a class="anchor" href="https://github.com/fhillemann/MSrepo_harvest_patch_choice#accompanying-manuscript"></a>Accompanying manuscript <p>F. Hillemann, B. A. Beheim, E. Ready. 2023. Socio-economic predictors of Inuit hunting strategies and their implications for climate change adaptation. Phil. Trans. R. Soc. B 378: 20220395. <a href="https://doi.org/10.1098/rstb.2022.0395" rel="nofollow">https://doi.org/10.1098/rstb.2022.0395</a></p> <p><strong>Manuscript Abstract:</strong><br>In the Arctic, seasonal variation in the accessibility of the land, sea ice, and open waters influences which resources can be harvested safely and efficiently. Climate stressors are also increasingly affecting access to subsistence resources. Within Inuit communities, people differ in their involvement with subsistence activities, but little is known about how engagement in the cash economy (time and money available) and other socio-economic factors shape the food production choices of Inuit harvesters, and their ability to adapt to rapid ecological change. We analyse 281 foraging trips involving 23 Inuit harvesters from Kangiqsujuaq, Nunavik, using a Bayesian approach modelling both patch choice and within-patch success. Gender and income predict Inuit harvest strategies: while men, especially men from low-income households, often visit patches with a relatively low success probability, women and high-income hunters generally have a higher propensity to choose low-risk patches. Inland hunting, marine hunting, and fishing differ in the required equipment and effort, and hunters may have to shift their subsistence activities if certain patches become less profitable or less safe due to high costs of transportation or climate change (e.g., navigate larger areas inland instead of targeting seals on the sea ice). Our finding that household income predicts patch choice suggests that the capacity to maintain access to country foods depends on engagement with the cash economy.</p>

opencc-zeroSep 2023View details →
dryad40/100

Data for: Local adaptation of seed and seedling traits along a natural aridity gradient may both predict and constrain adaptive responses to climate change

Open the record for dataset details and reuse information.

publicAug 2022View details →
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Data from: Can extreme climatic events induce shifts in adaptive potential? A conceptual framework and empirical test with Anolis lizards

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publicOct 2022View details →
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Climate change alters sexual signaling in a desert-adapted frog

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publicJul 2022View details →
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Data from: Signatures of local adaptation in candidate genes of oaks (Quercus spp.) in respect to present and future climatic conditions

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publicOct 2016View details →
dryad40/100

Population genomics reveals demographic history and climate adaptation in Japanese Arabidopsis halleri

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publicSep 2024View details →
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Data from: Local adaptation to seasonal cues at the fronts of two parallel, climate-induced butterfly range expansions

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publicAug 2022View details →
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Climate adaptation and genetic differentiation in the mosquito species <em>Culex tarsalis</em>

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publicSep 2025View details →
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Population genomics of a forest fungus reveals high gene flow and climate adaptation signatures

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publicFeb 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record