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269 results for “Regional climate”
Data from: Biogeography of plant root-associated fungal communities in the North-Atlantic region mirrors climatic variability
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Data from: Phenotypic effects of the nurse Thylacospermum caespitosum on dependent plant species along regional climate stress gradients
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Data from: Dated plant phylogenies resolve Neogene climate and landscape evolution in the Cape Floristic Region
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Data from : Environmental predictability drives adaptive within- and transgenerational plasticity of heat tolerance across life stages and climatic regions
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Data for: The effect of Pliocene regional climate changes on silicate weathering
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Daily weather summaries (temperature, precipitation and wind) for station SAN DIEGO LINDBERGH FIELD, CA US (GHCND:USW00023188), obtained from NOAA National Climatic Data Center and re-published through CCE LTER data system for community use as regionally relevant data, 1939 - Oct 2019.
Data provided here are obtained from the Global Historical Climatology Network - Daily (GHCN-Daily) database, provided by NOAA National Centers for Environmental Information (formerly NCDC). Data are periodically downloaded by CCE LTER Information Management and imported into the local data system for use by the local scientific community as regionally relevant data. The data contained in this dataset are from the SAN DIEGO LINDBERGH FIELD, CA US station (GHCND:USW00023188) at 32.7336°, -117.1831° beginning in July 1, 1939. The Global Historical Climatology Network - Daily (GHCN-Daily) dataset integrates daily climate observations from approximately 30 different data sources. Version 3 was released in September 2012 with the addition of data from two additional station networks. Changes to the processing system associated with the version 3 release also allowed for updates to occur 7 days a week rather than only on most weekdays. Version 3 contains station-based measurements from well over 90,000 land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. Over 25,000 stations are regularly updated with observations from within roughly the last month. The dataset is also routinely reconstructed (usually every week) from its roughly 30 data sources to ensure that GHCN-Daily is generally in sync with its growing list of constituent sources. During this process, quality assurance checks are applied to the full dataset. Where possible, GHCN-Daily station data are also updated daily from a variety of data streams. Station values for each daily update also undergo a suite of quality checks.
Predicting hydrologic responses to climate changes in highly glacierized and mountainous region Upper Indus Basin
<p><span>The Upper Indus Basin (UIB) is a major source of supplying water to different areas because of snow and glaciers melt and</span><span> is also enduring the regional impacts of global climate change. The expected changes in temperature, precipitation, and snowmelt </span><span>could be reasons for further escalation of the problem. </span><span>Therefore, estimation of hydrological processes </span><span>is </span><span>critical for UIB. The objectives of this paper were to estimate the impacts of climate change on water resources and future projection for surface water under different climatic scenarios using Soil and Water Assessment Tool (SWAT). The methodology includes</span><span>:</span><span> (i) development of SWAT model using </span><span>land cover, soil and meteorological data; (ii) calibration of the model using daily flow data from </span><span>1978-1993; (iii) model validation for the time 1994-2003; (iv) bias correction of Regional Climate Model (v) </span><span>utilization of </span><span>bias corrected RCM for future assessment under RCP4.5 and RCP8.5 </span><span>for mid (2041-2070) and late century (2071-2100). The results of the study revealed a strong correlation between simulated and observed flow </span><span>with R<sup>2</sup> and NSE equals 0.85 each for daily flow</span><span>. For validation, R<sup>2</sup> and NSE were found to be 0.84 and 0.80 respectively. Compared to baseline period (1976-2005), the result of RCM showed an increase in temperature ranging from 2.36°C to 3.50°C and 2.92°C to 5.23°C for RCP4.5 and RCP8.5 respectively, till the end of 21<sup>st</sup> century. Likewise, the increase in annual average precipitation is 2.4% to 2.5% and 6.0% to 4.6% (mid to late century) under RCP 4.5 and 8.5 respectively. The model simulation results for RCP4.5 showed increase in flow by 19.24% and 16.78% for mid and late century respectively. For RCP8.5, the increase in flow is 20.13% and 15.86% during mid and late century respectively. The model was more sensitive towards available moisture and snowmelt parameters. Thus, SWAT model </span><span>could </span><span>be used as effective tool for climate change valuation and for sustainable management of water resources in future.</span></p>
Aridity synthesis for 8 selected key regions of the global climate system during the last 60 000 years
<p>A compilation of published literature on dust content in terrestrial and marine sediment cores was synchronized with pollen data and speleothem growth phases on the GICC05 time axis. Aridity patterns for eight key areas of the global climate system have been reconstructed for the last 60,000 years. These records have different time resolutions and different dating methods, i.e. different types of stratigraphy. Nevertheless, all regions analyzed in this study show humid conditions during early marine isotope stage 3 (MIS3) and the early Holocene or deglaciation, but not always at the same time. Such discrepancies have been interpreted as regional effects, although stratigraphic uncertainties may affect some of the proposed interpretations. In comparison, most of the MIS2 interval becomes arid in all of the northern hemisphere records, but the peak arid conditions of the Last Glacial Maximum (LGM) and Heinrich event 1 differ in duration and intensity among regions. In addition, we also compare the aridity synthesis with modelling results using a Global Climate Model (GCM). Indeed, geological archives and GCMs show agreement of aridity pattern for the Holocene or deglaciation, LGM and for the late MIS3.</p>
Dataset for research article: Inluence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico
<p>R project folder, Spatial dataset and R code for research article <em>Influence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico: </em><a href="https://ij-healthgeographics.biomedcentral.com/">International Journal of Health Geographics</a></p>
Data from: Variability of the atmospheric PM10 microbiome in three climatic regions of France
<p>Air pollution is a major public-health concern and it is recognized that particulate matter causes damage to human health through oxidative-stress, being responsible for several million premature deaths worldwide each year. Recent findings showed that, airborne microorganisms/spores can modulate aerosol toxicity by altering the oxidative potential of PM10. Primary Biogenic Organic Aerosols (PBOA) appears to be produced by only few genera of microorganisms, emitted by surrounding vegetation in the case of a regionally-homogeneous field site. This study presents the first comprehensive description of the structure and main sources of airborne microbial communities associated with the temporal trends in PM10 SC concentrations at 3 French sites, under different climates. By combining sugar chemistry and DNA Metabarcoding approaches, we intended to identify PM10-associated microbial communities and their main sources at three climatically different sampling-sites in France during summer 2018. This study accounted also for the interannual variability of the structure of summer airborne microbial community associated with PM10-SC concentrations during a consecutive 2-year survey at one site. Our results showed that the temporal evolutions of SC in PM10 in the three sites are associated with the abundance of only few specific airborne fungal and bacterial taxa. These taxa differ significantly between the 3 climatic regions studied. The structure of microbial communities associated with PM10 SC concentrations during a consecutive 2-year survey remained stable in the rural area. The atmospheric concentration levels of PM10 SC-species vary significantly between the 3 studied sites, but with no clear difference according to site typology (rural vs urban), suggesting that SC emissions are more related to regional climatic characteristics. The overall microbial beta diversity in PM10 samples is significantly different from that of the main vegetation around the studied urban sites. This indicates that airborne microorganisms at such urban sites do not originate only from the immediate surrounding vegetation, which is contrasting with observations at the scale of a regionally homogeneous rural site made in 2017. These results improve our understanding of the spatial behavior of tracers of PBOA emission sources, which need to be better characterized to further implement this important OM-mass fraction into CTM models.</p>
Distribution of economic damages due to climate-driven sea-level rise across European regions and sectors
<p>The datasets generated during and/or analysed during the study</p>
Fig. 4 in Shell Morphology, Growth Pattern And Population Dynamics Of The Land Snail Xerolenta Obvia (Menke, 1828) In Two Areas Of Different Climatic Conditions Within A Temperate Climate Region
Fig. 4. Average monthly whorl increment of Xerolenta obvia at different stages of growth in SW (diamonds with the solid trend line) and NE (squares with the dashed trend line) populations
Fig. 1 in Shell Morphology, Growth Pattern And Population Dynamics Of The Land Snail Xerolenta Obvia (Menke, 1828) In Two Areas Of Different Climatic Conditions Within A Temperate Climate Region
Fig. 1. Shell size differences of Xerolenta obvia at different stage of growth in SW (filled symbols) and NE (empty symbols) populations; diamonds = mean shell width, triangles = mean shell height, lines = range of size
Fig. 3 in Shell Morphology, Growth Pattern And Population Dynamics Of The Land Snail Xerolenta Obvia (Menke, 1828) In Two Areas Of Different Climatic Conditions Within A Temperate Climate Region
Fig. 3. Relative distribution of size classes (I–VI) over the whole activity period studied in SW (A) and NE (B) populations of Xerolenta obvia
The fate of Meconopsis species in the Tibeto-Himalayan region under future climate change
<p>High-mountain areas such as the Tibeto-Himalayan region (THR) host cold-adapted biota expected to be sensitive to anthropogenic climate change. <i>Meconopsis</i> is a representative endangered genus confined to alpine meadow or subnival habitats in the THR. To obtain occurrence data for <i>Meconopsis</i> species found in the THR and adjacent regions, we used records from the Chinese Virtual Herbarium (CVH: <a href="http://www.cvh.org.cn/"><span>http://www.cvh.org.cn/</span></a>), the Global Biodiversity Information Facility (GBIF: <a href="http://www.gbif.org/">http://www.gbif.org/</a>), and the published literature (He et al., 2019). We only used occurrence data collected after 1950, and removed duplicate records found within a 5-kilometer diameter. Our dataset for ten species of <i>Meconopsis </i>are the numbers of records per species ranging from 17 to 228. For these ten <i>Meconopsis</i> species, we identified potential future climate refugia and determined optimal routes for each species to disperse to the proposed refugia. Our results indicate that for the ten <i>Meconopsis</i> species the regions with low vulnerability to climate change in the THR are the central Qinghai-Tibet Plateau, the Hengduan Mountains (HDM), the eastern Himalayas, and the West Qinlin Mountain (WQL), and can be considered potential future climate refugia. Under future climate change, we found for the ten <i>Meconopsis</i> species potential dispersal routes to three of the four identified refugia: the HDM, the eastern Himalayas, and the WQL. <i> </i>Furthermore, climate change may affect the threat ranking of Red Listed Species for <i>Meconopsis</i> species, as Least Concern species were estimated to become more vulnerable to climate change than the only Near Threatened species.</p>
NZESM & UKESM data for JAMES study on climatic changes associated with a nested ocean model in the region around New Zealand.
<p>NZESM & UKESM data for JAMES study on climatic changes associated with a nested ocean model in the region around New Zealand.</p>
Supplementary material 1 from: Piria M, Radočaj T, Vilizzi L, Britvec M (2022) Climate change may exacerbate the risk of invasiveness of non-native aquatic plants: the case of the Pannonian and Mediterranean regions of Croatia. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 25-52. https://doi.org/10.3897/neobiota.76.83320
Table S1
Impacts of anthropogenic management legacies on forest dynamics of the Tibetan Plateau transition region under changing climates
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Dataset for "Optimistic growth of marginal region plantations under climate warming: assessing divergent drought resilience"
<p>Dataset for published paper "<em>Optimistic growth of marginal region plantations under climate warming: assessing divergent drought resilience</em>", including the original tree-ring for four species and site features (topographic information, soil conditions, and LIDAR extracted data).</p>
Thermokarst disturbance responses to climate warming across the circumpolar permafrost regions from 1990 to 2023
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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.
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.