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269 results for “Regional climate”
Demographic inferences and climatic niche modeling shed light on the evolutionary history of the emblematic cold-adapted Apollo butterfly at regional scale
<p>Cold-adapted species escape climate warming by latitudinal and/or altitudinal range shifts, and currently occur in Southern Europe in isolated mountain ranges within 'sky islands.</p> <p>Here we studied the genetic structure of the Apollo butterfly in five such alpine islands (above 1000 m) in France, and infer its demographic history since the last interglacial, using single nucleotide polymorphisms (ddRADseq SNPs). The Auvergne and Alps populations show strong genetic differentiation but not alpine massifs, although separated by deep valleys. Combining three complementary demographic inference methods and species distribution models (SDMs) we show that the LIG period was highly defavorable for Apollo that probably survived in small population in the highest summits of Auvergne. The population shifted downslope and expanded eastward between LIG and LGM throughout the large climatically suitable Rhône valley between the glaciated summits of Auvergne and Alps. The Auvergne and Alps populations started diverging before the LGM but remained largely connected till the mid-Holocene. Population decline in Auvergne was more gradual but started before (~7 kya versus 800 ya), and was much stronger with current population size ten times lower than in the Alps. In the Alps, the low genetic structure and limited evidence for isolation by distance suggest a non-equilibrium metapopulation functioning. The core Apollo population experienced cycles of contraction-expansion with climate fluctuations with largely inter-connected populations over time according to a 'metapopulation-pulsar' functioning. This study demonstrates the power of combining demographic inferences and SDMs to determine past and future evolutionary trajectories of an endangered species at a regional scale.</p>
Appendix to paper Mid-Holocene climate record in Santovka travertine (Slovakia) in context of regional discrepancies of climate shifts 8.2 and 7.4 ka BP
<p>Figures, data, and code are available in html file exported from RStudio. The html knit file contain the whole code with notes, used R libraries, data preparation, visualisation of plots, and data analyses. Zip file contain used LiPD data of Santovka-village and other sites.</p>
Supplementary material 3 from: Szamosvári E, Nagy L, Konrad H, Móricz N, Weißenbacher L, Bálint A, Neuvirthné Bilics A, van Loo M (2023) Bilateral cooperation - Fostering the ability of native European beech and sessile oak forests in the border region against the impacts of climate change. Research Ideas and Outcomes 9: e109816. https://doi.org/10.3897/rio.9.e109816
Experimental trial design near Sparbach, NÖ, AT
Supplementary material 2 from: Szamosvári E, Nagy L, Konrad H, Móricz N, Weißenbacher L, Bálint A, Neuvirthné Bilics A, van Loo M (2023) Bilateral cooperation - Fostering the ability of native European beech and sessile oak forests in the border region against the impacts of climate change. Research Ideas and Outcomes 9: e109816. https://doi.org/10.3897/rio.9.e109816
Experimental trial design near Reichenau an der Rax, NÖ, AT
Supplementary material 1 from: Szamosvári E, Nagy L, Konrad H, Móricz N, Weißenbacher L, Bálint A, Neuvirthné Bilics A, van Loo M (2023) Bilateral cooperation - Fostering the ability of native European beech and sessile oak forests in the border region against the impacts of climate change. Research Ideas and Outcomes 9: e109816. https://doi.org/10.3897/rio.9.e109816
Experimental trial design near Mannersdorf am Leithagebirge, NÖ, AT.
Data supporting "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization"
<p>This data supports the analysis of the manuscript Asmus et al. 2023 "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization".</p><p><strong>Simulation data</strong></p><p>The simulation data is created with REMO2020-iMOVE using the new irrigation parameterization. The results are saved as NetCDF files with monthly mean values and/or time series (hourly) of single variables for the analysis period. A list of the simulations can be found below.</p><p><strong>Observation data </strong></p><p>The observation data is published with the kind permission of ISPRA which hosts the SCIA database (www.scia.isprambiente.it). If you use this data, please make sure to include the following data source:<br>SCIA by ISPRA - Area Climatologia operativa - Via V. Brancati 48 00144 Roma. <br>We downloaded monthly mean values for the variables T2Max, T2Min and T2Mean from <a href="http://193.206.192.214/servertsutm/serietemporali100.php">http://193.206.192.214/servertsutm/serietemporali100.php </a>(last accessed on 14/10/2022) to verify the model results with and without irrigation parameterization. </p><p>By untarring the tarballs, the data structure is created that is necessary to execute the analysis scripts.</p><p>For more information or additional data please contact the author.</p><p> </p><p><strong>tarball | exp_number | description </strong></p><p>067015.tar.gz | 067015 | not irrigated</p><p>067016.tar.gz | 067016 | irrigated with "adaptive water application scheme"</p><p>067017.tar.gz | 067017 | irrigated with "adaptive water application scheme"</p><p>067019.tar.gz | 067019 | irrigated with "flexible time water application scheme"</p><p>067020.tar.gz | 067020 | irrigated with "prescribed water application scheme"</p><p>observation_scia.tar | - | observation data from SCIA </p><p> </p><p><strong>Data structure for simulation data</strong></p><p>\<exp_number><br> \monthly<br> \hourly<br> \var_series<br> \<variable><br><br>Note:<br>\067015 includes static variables<br> \irrifrac (irrigated fraction)<br> \bla (land-sea-mask)</p>
Predicting hydrologic responses to climate changes in highly glacierized and mountainous region Upper Indus Basin
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Demographic inferences and climatic niche modeling shed light on the evolutionary history of the emblematic cold-adapted Apollo butterfly at regional scale
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Data from: Variability of the atmospheric PM10 microbiome in three climatic regions of France
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The fate of Meconopsis species in the Tibeto-Himalayan region under future climate change
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LBA Regional Climate Data, 0.5-Degree Grid, 1960-1990 (Willmott and Webber)
This data set is a subset of a 0.5-degree gridded temperature and precipitation data set for South America (Willmott and Webber 1998). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA), defined as 10° N to 25° S, 30° to 85° W. The data are in ASCII GRID format. The data consist of the following: Monthly mean air temperature time series (1960-1990), in degrees C: monthly mean air temperatures for 1960-1990 cross validation errors associated with time series monthly mean air temperatures for 1960-1990, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation time series Monthly mean air temperature climatology, in degrees C: climatic means of monthly and annual air temperatures cross validation errors associated with climatic means climatic means of monthly and annual mean air temperatures, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation climatic means Monthly total precipitation time series (1960-1990), in millimeters: monthly precipitation totals for 1960-1990 cross validation errors associated with time series monthly precipitation totals for 1960-1990, climatologically aided interpolation cross validation errors associated with climatologically aided interpolation time series Monthly total precipitation climatology, in millimeters: climatic means of monthly and annual precipitation totals cross validation errors associated with climatic means More information about the full data set can be found at "Willmott, Matsuura, and Collaborators' Global Climate Resource Pages" (http://climate.geog.udel.edu/~climate) at the University of Delaware. To obtain the original documentation and data, follow the link for "Available Climate Data," register or sign in, and follow the link for "South American Climate Data." Information on the LBA subset can be found at ftp://daac.ornl.gov/data/lba/physical_climate/willmott/comp/willmott_readme.pdf.
Transcriptome Comparison of Cabernet Sauvignon Grape Berries from Two Regions with Distinct Climate
GEO Series GSE63512. Vitis vinifera. 6 samples. Type: Expression profiling by high throughput sequencing.
Data from: Effects of livestock grazing on soil, plant functional diversity and ecological traits vary between regions with different climate in northeastern Iran
Understanding the responses of vegetation characteristics and soil properties to grazing in different precipitation regimes is useful for the management of rangelands, especially in the arid regions. In northeastern Iran, we studied the responses of vegetation to livestock grazing in three regions with different climate: arid, semi-arid and sub-humid. In each region, we selected 6-7 pairwise sampling areas of high versus low grazing intensity and six traits of the present species were recorded on 1 m2 plots - 5 grazed and 5 ungrazed in each area. The overall fertility was compared using the dissimilarity analysis, linear mixed-effect models were used to compare the individual fertility parameters, functional diversity indices and species traits between the plots with high and low grazing intensity and between the climatic regions. Both climate and grazing, as well as their interaction, affected fertility parameters, functional diversity indices and the representation of species traits. Grazing reduced functional evenness, height of the community, the representation of annuals, but increased the community leaf area. In the sub-humid region, grazing also reduced functional richness. Further, grazing decreased the share of annual species in the semi-arid region and seed mass in the arid region. Larger leaf area and seed mass, smaller height and lower share of annuals were associated with intensive grazing. Species with large LA and seed mass, lower height and perennials can be therefore presumed to tolerate trampling and benefit from high nutrient levels, associated with intensive grazing. By providing a detailed view on the impacts of overgrazing, this study highlights the importance of protection from grazing as an effective management tool for maintaining the pastoral ecosystems. In general, the composition of plant traits across the pastures of northeastern Iran was more affected by intensive grazing compared to climate.
Data from: Diachronous increase in early Cambrian ichnofossil size and benthic faunal activity in different climatic regions
In order to clarify the pattern of diversification and processes of biological activity during the Cambrian radiation, ichnofossils were comparatively studied in the early Cambrian sections of Newfoundland, South China and western Mongolia. Special attention was paid to size distributions of the most common ichnogenus, Planolites, and the densities of all the observed ichnofossils that preserve animal activity as expressed by bedding plane bioturbation indices (BPBI). From the Fortune Head section in Newfoundland, a clear size increase in the ichnogenus Planolites is confirmed from the Treptichnus pedum Zone to the overlying Rusophycus avalonensis Zone. The BPBI also shows much stronger biological activity in the R. avalonensis Zone than in the T. pedum Zone. In Meishucun, South China and Gobi-Altai, Mongolia, however, a variety of Planolites sizes had already appeared in the T. pedum Zone, and the BPBI's on some bedding surfaces of the T. pedum Zone are already comparable to those in the R. avalonensis Zone in Newfoundland. In the earliest Cambrian, diversification and increase in the biological activity of the benthic fauna were diachronous in the wide geographic scale, starting earlier at lower latitudes (South China and western Mongolia) than at higher latitudes (Newfoundland), reflecting differences in the onset of Cambrian benthic animal activity under different climatic conditions.
Code and data used for findings and figures in the manuscript "Land cover change-climate interactions amplified the diminishment of spring ecosystem productivity in the Arctic-Boreal region"
<p><span>This is the code and data used in the manuscript "Land cover change-climate interactions amplified the diminishment of spring ecosystem productivity in the Arctic-Boreal region" to generate all findings and figures.</span></p>
Hourly Balancing Authority Transfers, Streamflows, and Climate Data for Carolinas Region
<p>The data contain the electricity transfers and relevant indicators associated with nine exchanges between balancing authorities in the Carolinas region. The information comes from the following sources:</p> <p>Hydrology Dataset from USGS:</p> <p>CPLE<span> </span>02084557- Van Swamp near Hoke, NC</p> <p><span> </span>02089000- Neuse River near Goldsboro, NC</p> <p><span> </span>02087324-Crabtree Creek at US 1 at Raleigh, NC</p> <p>DUK<span> </span>0212427947- Reedy Creek at SR2803 near Charlotte, NC</p> <p><span> </span>0212430653- McKee Creek at SR2804 near Wilgrove, NC</p> <p><span> </span>02124080- Clarke Creek near Harrisburg, NC</p> <p>SC<span> </span>02171500- Santee River near Pineville, SC</p> <p><span> </span>02131010- Pee Dee River below Pee Dee, SC</p> <p><span> </span>02130980- Black Creek near Quinby, SC</p> <p>SCEG<span> </span>02175500- Salkehatchie River near Miley, SC</p> <p><span> </span>02176500- Coosawhatchie River near Hampton, SC</p> <p>YAD<span> </span>02121500- Abbotts Creek at Lexington, NC</p> <p>CPLW<span> </span>02140991- Johns River at Arneys Store, NC</p> <p>*CPLE = Duke Energy Progress East; DUK = Duke Energy Carolina; SC = Santee Cooper; SCEG = South Carolina Electric & Gas Company; YAD = Yadkin, Inc.; CPLW = Duke Energy Progress West</p> <p> </p> <p>Balancing Authority Data</p> <p><span>Nugent J, Chini C M, Peer R A M and Stillwell A S 2023 Monthly virtual water transfers on the U.S. electric grid Environ. Res. Infrastruct. Sustain. 3 035006</span></p> <p><span>Balancing Authority Climate Data</span></p> <p>Burleyson C, Thurber T and Vernon C 2023 Projections of hourly meteorology by balancing authority based on the IM3/HyperFACETS thermodynamic global warming (TGW) simulations (v1.0.0) [Data set] MSD-LIVE Data Repos.</p> <p>NOAA National Centers for Environmental Information 2024 U.S. Air Force 14th weather squadron (2013): United States Air Force 14th weather squadron surface weather observations (restricted). NCEI DSI 9966</p> <p> </p>
Climate model (CM2.6) and regional model (ACM) outputs used to investigate the physical drivers and biogeochemical effects of the weakening of the northwest North Atlantic Shelfbreak Jet (Garcia-Suarez & Fennel., 2024; JAMES)
<p>Key variables from the climate model GFDL CM2.6 and the regional Atlantic Canada model (ACM) used to investigate the physical drivers and the biogeochemical effects of the weakening of the shelfbreak jet in the northwest North Atlantic Ocean. The dataset includes all model variables required to reproduce the key results in <em>Garcia-Suarez & Fennel (2024, JAMES)</em>. See <em>GarciaSuarezandFennel_JAMES_CM26_ACM_data_README.txt</em> for more details.</p>
Data from: Diachronous increase in early Cambrian ichnofossil size and benthic faunal activity in different climatic regions
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Data from: Effects of livestock grazing on soil, plant functional diversity and ecological traits vary between regions with different climate in northeastern Iran
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Extreme events changes over China under 1.5-4°C global warming targets: projected by an ensemble of regional climate model simulations
<p>This file is for the upload of data for 2019JD031057R.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.