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2,260 results for “Climatic change”

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zenodo36/100

Fig. 1 in Retrieving climate change dependent Sea Surface Temperature (SST) in Southern Turkey by using Landsat thermal imagery

Fig. 1 — Map of the study area, Bay of Goköva

opencc-by-4.0Jul 2022View details →
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Fig. 4 in Retrieving climate change dependent Sea Surface Temperature (SST) in Southern Turkey by using Landsat thermal imagery

Fig. 4 — Average annual temperature in Gökova Bay

opencc-by-4.0Jul 2022View details →
dryad36/100

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>

opencc-zeroJun 2024View details →
zenodo36/100

FIGURE 4 in Southern Africa's Great Escarpment as an amphitheater of climate-driven diversification and a buffer against future climate change in bats

FIGURE 4 (Continued)

opencc-by-4.0Jun 2024View details →
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FIGURE 2 in Southern Africa's Great Escarpment as an amphitheater of climate-driven diversification and a buffer against future climate change in bats

FIGURE 2 (Continued)

opencc-by-4.0Jun 2024View details →
zenodo36/100

Climate Change Adaptation, Social Resilience, and Perceived Values Data from Turkana, Machakos and Narok County, Kenya

<p>This dataset provides socioeconomic and value perception interview data collected from 1,020 individuals living across three counties in Kenya: Turkana, Machakos and Narok. Socioeconomic data were collected on housing, healthcare, water sources, electricity access, experience of extreme weather events, community services and access to information. Value perception data were collected using the user-perceived value (UPV) method - a perception-based surveying approach which requires interviewees to select their most valued household items in different circumstances and explain their choice through 'why'-probing. This is done under different circumstances - here, either in daily life, or in the face of a climate shock. The data are made available with sub-county level geospatial attribution. Together, the socioeconomic and interview data can be used to better understand the views of different communities and demographic groups concerning climate change and extreme weather events across Kenya. They also provide insight as to the intrinsic, social, emotional, epistemic, functional, and indigenous values associated with everyday household items. The data can be used by policymakers to inform development planning and to identify gaps in available infrastructure. Additionally, researchers and development practitioners can use these data to design interventions which reflect the needs and values of communities in Kenya.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

The evaluation of climate change competitiveness via DEA models and Shannon's entropy: EU regions case

<p>Supplementary materials for the article titled &ldquo;The evaluation of climate change competitiveness via DEA models and Shannon&rsquo;s entropy: EU regions case&rdquo;.</p> <p><span>The data was collected under project provided by the National Science Centre, Poland; Grant No. 2019/35/B/HS5/01548.</span></p> <div> <div> <div> <p>&nbsp;</p> </div> </div> </div> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Datasets used in Erosional response to Pleistocene climate changes in the Brazilian highlands

<p>The data files correspond to the data tables of the ms "Erosional response to Pleistocene climate changes in the Brazilian highlands", submitted to JGR.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Fig. 12 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 12. Map of comparison of P. melas current range and ranges for 2050 and 2070

opencc-by-4.0Aug 2020View details →
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Fig. 11 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 11. Comparison of P.melas current range and range for 2050

opencc-by-4.0Aug 2020View details →
dryad36/100

Data from: Responses of population structure and genomic diversity to climate change and fishing pressure in a pelagic fish

<p><span>The responses of marine species to environmental changes and anthropogenic pressures (e.g. fishing) interact with ecological and evolutionary processes that are not well understood. Knowledge of changes in the distribution range and genetic diversity of species and their populations into the future is essential for the conservation and sustainable management of resources.</span><span> Almaco jack (<em>Seriola rivoliana</em>) is<em> </em>a pelagic fish with high importance to fisheries and aquaculture in the Pacific Ocean. </span><span>In this study, we assessed contemporary genomic diversity and structure in loci that are putatively under selection (outlier loci) and determined their potential functions.  Utilizing a combination of genotype-environment association, spatial distribution models, and demogenetic simulations, we modeled the effects of cl</span><span>imate change (under three different RCP scenarios) and fishing pressure on the species' geographic distribution and genomic diversity and structure to 2050 and 2100.</span><span> Our results show that most of the outlier loci identified were related to biological and metabolic processes that may be associated with temperature and salinity. Contemporary genomic structure showed three populations—two in the Eastern Pacific (</span><span>Cabo San Lucas </span><span>and Eastern Pacific) and one in the Central Pacific (</span><span>Hawaii</span><span>). Future projections suggest a loss of suitable habitat and potential range contractions for most scenarios, while fishing pressure decreased population connectivity. Our results suggest that future climate change scenarios and fishing pressure will affect the genomic structure and genotypic composition of <em>S. rivoliana</em> and lead to loss of genomic diversity in populations distributed in the eastern-central Pacific Ocean, which could have profound effects in fisheries that depend on this resource.</span></p>

opencc-zeroJun 2024View details →
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Figure 2 in Forest yield prediction under different climate change scenarios using data intelligent models in Pakistan

Figure 2. Schematic view of Kernel Ridge Regression (KRR) model.

opencc-by-4.0Jun 2024View details →
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Figure 1 in Forest yield prediction under different climate change scenarios using data intelligent models in Pakistan

Figure 1. High-resolution flow chart of the Random Forest (RF) model.

opencc-by-4.0Jun 2024View details →
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Climate regulates the effect of land-use change on the diversity of soil microbial functional groups and soil multifunctionality

<p>Although studies have explored how soil microbial diversity and soil multifunctionality respond to land-use change at local scales, they have rarely been explored at larger scales and across different climatic and soil environmental conditions.</p> <p>By sampling 40 paired sites of land-use change from natural forests to agricultural lands (including croplands and orchards) along the middle and lower Yangtze River, combined with a global meta-analysis, we investigated the effects of land-use change and climate on the alpha and beta diversity of soil bacterial and fungal functional groups (FGs) and their associated soil multifunctionality at a regional scale.</p> <p>Our results showed that land-use change strongly changed the diversity of soil bacterial and fungal FGs and decreased multifunctionality, which was supported by our meta-analysis at a global scale. Direct effects of land-use change and climate and their interaction, together with changes in soil environmental variables, were the main determinants of the land-use change-induced changes in the diversity of soil bacterial or fungal FGs. The land-use change-induced decrease in multifunctionality was mainly associated with the direct effect of forest conversion, soil fertility, and diversity of fungal FGs. Furthermore, climate also regulated the effects of land-use change on multifunctionality by affecting soil fertility and fungal FGs diversity along the Yangtze River.</p> <p><em>Synthesis and applications</em>. Taken together, our findings highlight the important effects of land-use change, climate, and their interactions on microbial diversity and multifunctionality, and suggest that effective land-use management and climate change mitigation strategies should be adopted to protect biodiversity and ecosystem function in the Yangtze River Basin.</p>

opencc-zeroJun 2024View details →
dryad36/100

Data from: Cenozoic climate change and the evolution of North American mammalian predator ecomorphology

<p>The trend of global cooling across the Cenozoic transformed the North American landscape from closed forest to more open grasslands, resulting in dietary adaptations in herbivores in response to shifting resources. In contrast, the material properties of the predator food source, muscle, skin, and bone, have remained constant over this transition, suggesting a corresponding lack of change in predator dietary adaptations. We investigate the North American mammal predator fossil record using a tooth shape metric and body mass, predicting that the former would exhibit stability. Instead, we found that mean molar morphology became more blade-like, with our tooth shape metric sharply increasing in the late Eocene and remaining high from the Oligocene onward. Subsequent tests in extant carnivorans reveal taxa with more blade-like teeth are prevalent in more open environments. Our results reveal an unexpected functional shift among North American predators in response to large-scale environmental changes across the Cenozoic.</p>

opencc-zeroJun 2024View details →
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Beryllium Isotopes in Maar Lake Sediments Response to Rapid Climate Change Since the Last Deglaciation

<p>Data for "<span>Beryllium Isotopes in Maar Lake Sediments Response to Rapid Climate Change Since the Last Deglaciation</span>"</p>

opencc-by-4.0Jul 2024View details →
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Fig. 6 in Phytoplankton Responses To Climate Change In The Large Lakes Of The Baltic Sea Basin

Fig. 6. Trend of changes in ice-free period (in days) on Lake Onega and Lake Peipsi for 1960- 2015.

opencc-by-4.0Dec 2015View details →
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Fig. 2 in Phytoplankton Responses To Climate Change In The Large Lakes Of The Baltic Sea Basin

Fig. 2. Phytoplankton biomass structure in the Lake Onega for August 1976-2010.

opencc-by-4.0Dec 2015View details →
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Fig. 1 in Phytoplankton Responses To Climate Change In The Large Lakes Of The Baltic Sea Basin

Fig. 1. Map of lakes with indication of sampling sites.

opencc-by-4.0Dec 2015View details →
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Fig. 4. Annual air temperature over Lake Onega catchment area for 1951–2014 in Phytoplankton Responses To Climate Change In The Large Lakes Of The Baltic Sea Basin

Fig. 4. Annual air temperature over Lake Onega catchment area for 1951–2014.

opencc-by-4.0Dec 2015View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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