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Dataset results
218 results for “Global Warming”
Recent natural variability in global warming weakened phenological mismatch and selection on seasonal timing in great tits (Parus major)
<p></p><p> Climate change has led to phenological shifts in many species, but with large variation in magnitude among species and trophic levels. The poster child example of the resulting phenological mismatches between the phenology of predators and their prey is the great tit (Parus major), where this mismatch led to directional selection for earlier seasonal breeding. Natural climate variability can obscure the impacts of climate change over certain periods, weakening phenological mismatching and selection. Here, we show that selection on seasonal timing indeed weakened significantly over the past two decades as increases in late spring temperatures have slowed down. Consequently, there has been no further advancement in the date of peak caterpillar food abundance, while great tit phenology has continued to advance, thereby weakening the phenological mismatch. We thus show that the relationships between temperature, phenologies of prey and predator, and selection on predator phenology are robust, also in times of a slowdown of warming. Using projected temperatures from a large ensemble of climate simulations that take natural climate variability into account, we show that prey phenology is again projected to advance faster than great tit phenology in the coming decades, and therefore that long-term global warming will intensify phenological mismatches. </p><p></p>
Monthly TSI for "Prospects for Detecting Accelerated Global Warming"
<p>Stitched monthly TSI reconstruction as used in:<br> Richardson M "Prospects for Detecting Accelerated Global Warming"<br> Submitted to: Geophys. Res. Lett. 2021</p> <p>This is constructed from daily PMOD, SORCE and TSIS data, with linear interpolation between missing values before taking the monthly average.<br> <br> Please cite the original data sources:<br> PMOD: ftp://ftp.pmodwrc.ch/pub/data/irradiance/composite/composite_42_65_1709.dat and: https://doi.org/10.1007/s11214-006-9046-5<br> SORCE-TIM: http://lasp.colorado.edu/data/sorce/tsi_data/daily/sorce_tsi_L3_c24h_latest.txt and: https://doi.org/10.1007/s11207-005-7446-4<br> TSIS: http://lasp.colorado.edu/data/tsis/tsi_data/tsis_tsi_L3_c24h_latest.txt and: https://doi.org/10.5067/TSIS/TIM/DATA306</p>
Supplementary data as part of the article "The role of carbon capture, utilization and storage for economic pathways that limit global warming to below 1.5 °C" (https://doi.org/10.1016/j.isci.2022.104237).
<p>Data of the plots in Figure 1a and Figure 1b, showing, respectively, the incremental and the integrated global CO<sub>2</sub> emissions for the 1.5 °C-committed decarbonization pathways from IPCC (P1, P2, P3, and P4 pathways) and the one originally obtained in this work (Q pathway).</p>
Code and source data for the paper: Global warming leads to larger bats with a faster life history pace in the long-lived Bechstein's bat (Myotis bechsteinii)
<p>Contains two R scripts necessary to perfom the analysis for the paper "Global warming leads to a faster life history pace in the long-lived Bechstein’s bat (Myotis bechsteinii)"</p> <ul> <li>1st Script (" Script_analysis paper_bodysize_AFR_fecundity_LRS_GAMs_revised": Descriptive statistics, calculation of all GAMs and code for figure 1, 2 and 3</li> <li>2nd Script (" Script_size specific generation times"): Calculation of reproductive and mortality rates, calculation of generation time and population growth rates (lambda) as well as code for figure 4 and 5</li> </ul> <p>And also .csv files with the data points of all figures.</p>
Model and observations used for Sigmond, M. et al, 'Large contribution of ozone-depleting substances to global and Arctic warming in the late 20th century", Geophysical Research Letters
<p>This dataset contains all the data used for the study "Large contribution of ozone-depleting substances to global and Arctic warming in the late 20th Century" by Sigmond et al, which was submitted to Geophysical Research Letters on July 26, 2022. It contains the following directories:</p> <p>- AR6: csv data files containing timeseries of Effective Radiative Forcing (ERF) as assessed by the IPCC Sixth Assessment Report (AR6).</p> <p>- CanESM5/DATA_siconc_canesm5_past_[expname] contain timeseries of September Sea Ice Extent (SSIE), where expname=historical (all forcing) or hist-noXXX (as historical, except that XXX is fixed to 1955 values)</p> <p>- CanESM5/DATA_tas_canesm5_past_[expname] contains timeseries of surface air temperature (am_: annual mean, arcam_: Arctic and annual mean, gmam_: Global and annual mean). expname as above </p> <p>- CanESM5/IN_TOA_COUPLED_CanESM5 contain timeseries of the global mean top of atmosphere net raditative flux. his=historical (all forcing) run, rms0056=fixed CFC run, rms0058=fixed CFC+stratospheric ozone run, rms0065: fixed CO2 run, and rms0066=fixed aerosol run.</p> <p>- CanESM5_uncoupled/DATA_rtmt_canesm5_YYYY: contains timeseries of RTMT (top of atmosphere radiative imbalance) in the uncoupled (fixed 1955 SST/SI) CanESM5 simulations. YYYY=fall: historical, faer: fixed aerosols, fco2: fixed CO2, fods: fixed CFC runs</p> <p>- OBSERVATIONS: contains timeseries of observational September Sea Ice Extent and surface air temperature used in the study</p> <p>- data_GSAT+ASAT+ERF+efficacies_2001-2005min1955.txt: contains the most import post-processed data </p> <p>Python code used to create these files from the raw model output are available at https://gitlab.com/michael.sigmond/cfc/</p>
Global warming pushes the distribution range of the two alpine 'glasshouse' Rheum species north- and upwards in the Eastern Himalayas (EH) and the Hengduan Mountains (HM)
<p><span>Alpine plants' distribution is being pushed higher towards mountaintops due to global warming, finally diminishing their range and thereby increasing the risk of extinction. Plants with specialized 'glasshouse' structures have adapted well to harsh alpine environments, notably to the extremely low temperatures, which makes them vulnerable to global warming. </span><span>How</span><span>ever, their response to global warming is quite unexplored. Therefore, by compiling occurrences and several environmental strata, we utilized multiple ensemble species distribution modeling (eSDM) to estimate the historical, present-day, and future distribution of two alpine 'glasshouse' species <em>Rheum nobile</em> Hook. f. & Thomson and <em>R. alexandrae</em> Batalin. <em>Rheum nobile</em> was predicted to extend its distribution from the Eastern Himalaya (EH) to the Hengduan Mountains (HM), whereas <em>R. alexandrae</em> was restricted exclusively in the HM. Both species witnessed a northward expansion of suitable habitats followed by a southerly retreat in the HM region. Our findings reveal that both species have a considerable range shift under different climate change scenarios, mainly triggered by precipitation rather than temperature. The model predicted northward and upward migration for both species since the last glacial period which is mainly due to expected future climate change scenarios. Further, the observed niche overlap between the two species presented that they are more divergent depending on their habitat, except for certain regions in the HM. However, relocating appropriate habitats to the north and high elevation may not ensure the species' survival, as it needs to adapt to the extreme climatic circumstances in alpine habitats. Therefore, we advocate for more conservation efforts in these biodiversity hotspots.</span></p>
Lizard thermoregulation revisited after two decades of global warming
<p>Global warming should have a deep impact on thermoregulation by ectothermic animals such as lizards, because they rely on behavior to select the microhabitats that allow them to keep their body temperature within their preferred -and physiologically optimal- range of temperatures. However, there is a paucity of studies that use the same methods, after a long enough period of environmental warming, to evaluate how much the body temperatures and regulatory behaviors of a given population of lizards have been affected by climate change.</p> <p>We chose a population of <em>Psammodromus algirus</em> lizards inhabiting a well-conserved temperate open forest, and we compared several thermoregulation parameters between the summers of 1997 and 2017:</p> <ol> <li>Body temperatures (T<sub>b</sub>s) of field-active lizards,</li> <li>Environmental operative temperatures, that are the temperatures ‘available’ to lizards and can be estimated using randomly distributed physical models that integrate environmental heat loads (air and substrate temperature, solar radiation, wind speed, etc.) in the same way as lizards do,</li> <li>The extent to which both T<sub>b</sub>s and operative temperatures deviate from the summer ‘target’ range, which for this species is 32.8-36.9 ºC (the ‘target’ range, or T<sub>sel</sub>, is measured in a laboratory thermal gradient where lizards can select their T<sub>b</sub>s with no physical or biotic restrictions); and</li> <li>The selection (use as opposed to availability) of sunlit and shaded patches along the day, that can be estimated by comparing the distributions of lizards (use) and randomly positioned physical models (availability).</li> </ol> <p>Both T<sub>b</sub>s and environmental operative temperatures increased over the 20-years period examined; in 2017, 52% of field T<sub>b</sub>s (N = 65) were above the target range, in sharp contrast with the T<sub>b</sub>s selected by lizards in a laboratory thermal gradient, where only 2% of 43 T<sub>b</sub>s were above the target range. Also, the selection of shaded patches in the field (87% of lizards in full shade<em>, </em>against less than 1% in full sun) was more intense than in 1997. In spite of this, both T<sub>b</sub>s and their average distance to the target range were larger in 2017 (when only 8% of all available operative temperatures were within or below T<sub>sel</sub>) than in 1997 (when most shaded patches offered favourable thermal opportunities, with plenty of operative temperatures within or below T<sub>sel</sub>).</p> <p>Thus, our data suggest that the low availability of operative temperatures within or below T<sub>sel</sub>, at least in mid-summer days, is forcing lizards to reach T<sub>b</sub>s above their preferred range. This implies that the effects of global warming are already hindering the ability of reptiles to buffer environmental change by behavioral means (although lizards could compensate these detrimental effects by being active earlier in the year and/or enlarging their daily activity time in early spring or late autumn).</p>
Analysis tools and data for study "Better insurance could effectively mitigate the increase in economic growth losses from US hurricanes under global warming"
<p>This scripts are used for post-analysis and for creating the main figures for our study "Better insurance could effectively mitigate the increase in economic growth losses from US hurricanes under global warming". Our raw results are calculated by InGroClIm (DOI:10.5281/zenodo.5017904).</p>
Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)
<p>This dataset was created in the context of the project: " Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)".</p> <p>---</p> <p>Global warming is a topic of increasing public importance, but there have not been published scientometric studies on this topic. The objective of this paper is to contribute to a better understanding of the scientific knowledge in global warming and his effect, as well as to investigate its evolution through the published papers included in Web of Science database. Items under study were collected from Web of Science database from Thomson Reuters. A bibliometric and social network analyses was performed to obtain indicators of scientific productivity, impact and collaboration between researchers, institutions and countries. A subject analysis was also carried out taking into account the key words assigned to papers and subject areas of journals. 1,672 articles were analysed since 2005 until 2014. The most productive journals were Journal of Climate (n=95) and Geophysical Resarch Letters (n=78). The most frequent keywords have been Climate Change (n=722), Model (n=216) and Temperature (n=196). The network of collaboration between countries shows the central position of the United States, together with other leading countries such as United Kingdom, Germany, France and Peoples Republic of China. The research on global warming had grown steadily during the last decade. A vast amount of journals from several subject areas publishes the papers on the topic, including journals of general purpose with high impact factor. Almost all the countries have USA as the main country with which one collaborates. The analysis of key words shows that topics related with climate change, impact, temperature, models and variability are the most important concerns on global warming.</p> <p>---</p> <p>The dataset consist of the following:</p> <p>1) The list of papers included in the analyses: Papers.xlsx</p> <p>This file contains 1672 titles, each line representing a paper (including title of the paper, journal ISSN and year of publication).</p> <p>2) The list of authors: Authors.xlsx</p> <p>This file contains all 4488 authors, each line representing an author (including full name, total number of papers and year of publication).</p> <p>3) The list of scientific journals: Journals.xlsx</p> <p>This file containts all 687 journals, each line representing a journal (including name of the journal, ISSN, total number of papers and year of publication).</p> <p>4) The list of countries: Country.xlsx</p> <p>This file contains all 84 countries, each line representing a country (including country name, total number of papers, total number of citations, and number of citations per paper).</p> <p>5) The list of keywords: Keywords.xlsx</p> <p>This file contains all 6422 keywords, each line representing a keyword (including keywords, number of papers and year of publication)</p>
The 2023 global warming spike was driven by El Niño/Southern Oscillation (Data)
<p>GFDL FLOR and CM2.1 surface temperature datasets used in:<br>Raghuraman et al., 2024, Atmospheric Chemistry and Physics,<br>"The 2023 global warming spike was driven by El Niño/Southern Oscillation"</p> <p>Point of Contact: Shiv Priyam Raghuraman, sraghur2@illinois.edu</p> <p>All other model data files used in paper can be downloaded from their respective websites (see paper's "Data availability" section).</p>
Global warming may turn ice-free areas of Maritime and Peninsular Antarctica into potential soil organic carbon sinks
<h2>Dear researchers and interested parties,</h2> <p>We are excited to announce the publication of our recent research on Zenodo, presenting <strong>high-resolution</strong> (8 m) spatial models of <strong>soil organic carbon (SOC) stocks in ice-free areas of Maritime and Peninsular Antarctica</strong>. This research evaluates the potential impacts of climate change on SOC stocks under three Shared Socioeconomic Pathways (SSPs), providing a comprehensive understanding of the role these regions may play as carbon sinks in the face of intensified global warming.</p> <h2>Available resources:</h2> <h3>SOC stock predictions:</h3> <p>We provide detailed maps of SOC estimates and uncertainties for different soil depths across various IPCC Shared Socioeconomic Pathways, including mean values (Mg ha⁻¹) and coefficients of variation (%). All maps are available in "tif" format, using the South Pole Stereographic projection system (<a href="https://epsg.io/102021" target="_blank" rel="noopener">ESRI:102021</a>).</p> <p>Open-Source Code and Data: The entire analytical workflow, developed in R, <strong>is accessible through our <a href="https://github.com/moquedace/soc_stock_antarctica" target="_blank" rel="noopener">GitHub repository</a></strong>, ensuring reproducibility and transparency. Additional methodological details are provided in our publication:</p> <p>Mello, D., Francelino, M. R., Moquedace, C. M., Baldi, C. G. O., Silva, L., Siqueira, R. G., Veloso, G. V., Fernandes-Filho, E. I., Thomazini, A., Demattê, J., Ferreira, T., Gomes, L. C., Senra, E., Schaefer, C. E. G. R. Global warming may turn ice-free areas of Maritime and Peninsular Antarctica into potential soil organic carbon sinks. <em>Commun Earth Environ</em>, v. 6, n. 1, p. 143, 2025. DOI: <a href="https://doi.org/10.1038/s43247-024-01937-z" target="_blank" rel="noopener">10.1038/s43247-024-01937-z</a></p> <h2>Availability objectives:</h2> <h3>Advancing scientific collaboration:</h3> <p>We invite scientists, researchers, and organizations to explore our findings to support additional studies on soil carbon dynamics and climate change.</p> <h3>Supporting environmental understanding:</h3> <p>By providing open access to these models, we aim to contribute to global knowledge on Antarctic soil carbon dynamics and assist in formulating sustainable climate mitigation strategies.</p> <h3>Fostering innovation:</h3> <p>Sharing this data aims to stimulate advances in spatial modeling and SOC prediction methodologies, especially in high-latitude environments.</p> <h2>We appreciate your interest and collaboration. We look forward to advancing knowledge and promoting sustainable solutions to essential environmental challenges together.</h2>
Data from: Global warming will affect the maximum potential abundance of boreal plant species
<p>Forecasting the impact of future global warming on biodiversity requires understanding how temperature limits the distribution of species. Here we rely on Liebig's Law of Minimum to estimate the effect of temperature on the maximum potential abundance that a species can attain at a certain location. We develop 95%-quantile regressions to model the influence of effective temperature sum on the maximum potential abundance of 25 common understory plant species of Finland, along 868 nationwide plots sampled in 1985. Fifteen of these species showed a significant response to temperature sum that was consistent in temperature-only models and in all-predictors models, which also included cumulative precipitation, soil texture, soil fertility, tree species and stand maturity as predictors. For species with significant and consistent responses to temperature, we forecasted potential shifts in abundance for the period 2041–2070 under the IPCC A1B emission scenario using temperature-only models. We predict major potential changes in abundance and average northward distribution shifts of 6–8 km yr−1. Our results emphasize inter-specific differences in the impact of global warming on the understory layer of boreal forests. Species in all functional groups from dwarf shrubs, herbs and grasses to bryophytes and lichens showed significant responses to temperature, while temperature did not limit the abundance of 10 species. We discuss the interest of modelling the 'maximum potential abundance' to deal with the uncertainty in the predictions of realized abundances associated to the effect of environmental factors not accounted for and to dispersal limitations of species, among others. We believe this concept has a promising and unexplored potential to forecast the impact of specific drivers of global change under future scenarios.</p>
Seamless Projections of Global Storm Surge and Ocean Waves under a Warming Climate
<p>This is dataset of global ocean waves and storm surges used in the paper "Seamless Projections of Global Storm Surge and Ocean Waves under a Warming Climate" by Shimura et al. (2022, Geophysical Research Letters).</p> <p>AnnualMaxSSH_SeamlessExperiment.nc contains the global annual maximum storm surge in the seamless experiment.</p> <p>AnnualMaxHs_SeamlessExperiment.nc contains the global annual maximum significant wave heights in the seamless experiment.</p> <p>AnnualMaxHs_TimesliceExperiment_Historical.nc contains the global annual maximum significant wave heights in the time-slice experiment (the historical climate simulations).</p> <p>AnnualMaxHs_TimesliceExperiment_ProjectedFuture.nc contains the global annual maximum significant wave heights in the time-slice experiment (the projected future climate simulations).</p>
Comparing the Influence of Global Warming and Urban Anthropogenic Heat on Extreme Precipitation in Urbanized Pearl River Delta Area Based on WRF Dynamical Downscaling
<p>The simulation outputs from the Weather Research and Forecasting (WRF) v3.8.1 coupled with single layer urban canopy model from three experiments (HIST_AH300, HIST_AH0, and RCP85_AH300).</p> <p>Variables include hourly precipitation, wind, specific humidity, relative humidity, convective available potential energy, convective inhibition, temperature, model height, land use land cover, and topography.</p> <p> </p>
Heat waves affect prey and predators differently via developmental plasticity: who may benefit most from global warming?
<p>Dataset of the results in the article: Heat waves affect prey and predators differently via developmental plasticity: who may benefit most from global warming? in Pest Management Science. <a href="https://doi.org/10.1002/ps.6722">https://doi.org/10.1002/ps.6722</a></p> <p>This research was funded by the Austrian Science Fund (FWF).</p>
Global warming enhances nitrogen-limitation in a temperate reservoir system under consistent external load.
<p>Data belonging to AGU<em>:Water Resources Research</em> submission:</p> <p>Global warming and continued external loading increase nitrogen limitation in a temperate reservoir system.</p> <p>Climate change impacts hydrology, geochemistry, and biology of lakes and reservoirs worldwide, also affecting surface water concentrations of the essential nutrients nitrogen (N) and phosphorus (P). Few studies have illustrated climate change’s impact on nutrient processing due to compounded effects of both climate change and catchment inputs. In this study, we have evaluated monitoring data from the years 2000 to 2019 in the Franconian Lake District (FLD), which consists of one shallow (hypertrophic) and three deep reservoirs (meso- to eutrophic), interconnected by a transfer canal. The cascade configuration and consistent external load buffer catchment variations, making nutrient trends attributable to internal processing. Mass balances were set up and statistical analyses were conducted for trends in stratification, hypolimnetic anoxia and nutrient concentrations. Warming significantly increased water temperature (+0.35-1.0°C decade<sup>−1</sup> ), stratification (+7-18 days decade<sup>−1</sup>), and hypolimnetic anoxia (+15-35 days decade<sup>−1</sup>). TP increased in deep reservoirs (+0.006-0.01 mg-P L<sup>−1</sup> decade<sup>−1</sup> ) and TN decreased in all reservoirs (−0.2-0.4 mg-N L<sup>−1</sup> decade<sup>−1</sup> ). The increased rates of NO<sub>3</sub>-loss could be related to enhanced denitrification rates and earlier algal uptake. Increased TP-concentrations were attributable to increased sediment P-release, induced by prolonged stratification and hypolimnetic anoxia. Primarily, the decrease in TN drove a strong decrease in TN:TP-ratio (-4 to -15 mol:mol decade<sup>−1</sup>), triggering a biogeochemical regime shift towards N-limitation, associated with proliferation of harmful algae blooms. The identified impacts emphasizes the need to consider the potential disruptive effects of intensifying climate change on the health and restoration efforts for temperate, eutrophic lakes worldwide.</p>
Data to reproduce paper: Submesoscale effects on changes to export production under global warming
<p>Data to reproduce paper: Submesoscale effects on changes to export production under global warming</p> <p>Paper is being submitted to the AGU journal Global Biogeochemical Cycles. A pre-print copy of the submitted paper will be available on essoar.org</p> <p>Matlab data files contain data to reproduce all figures in the paper and supplement</p> <p>Zipped files contain the input files for ROMS (Regional Ocean Modeling System) to re-run the simulations, when combined with the netcdf files for initial and boundary conditions. </p> <p>Pdf and image files are copies of the paper figures; supplement2_CodeDataList has a table matching the code and data for each figure. </p> <p>Matlab software is at github.com/gjayb/submesoBioROMS/ and will be archived here on Zenodo as well.</p> <p>The Bipit code for the biological model within ROMS is archived at <a href="http://doi.org/10.5281/zenodo.5716181">doi.org/10.5281/zenodo.5716181</a>, within tpos-roms-v.1.0.0\ROMS\Nonlinear\Biology </p> <p>This work was primarily funded by the National Science Foundation (NSF) under grants OCE-1658550 and OCE-1658541. This material is based on work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the NSF under Cooperative Agreement No. 1852977. Computing and data storage resources, including the Cheyenne supercomputer (doi:10.5065/D6RX99HX), were provided by the Computational and Information Systems Laboratory (CISL) at NCAR. We thank all the scientists, software engineers, and administrators who contributed to the development of CESM. <br> DBW acknowledges additional support from the National Oceanic and Atmospheric Administration (NA18OAR4310408) and the National Aeronautics and Space Administration (80NSSC19K1116). GJB acknowledges additional support from a Janney grant awarded by the Johns Hopkins University Applied Physics Laboratory. </p>
Global warming facilitates the nesting of the loggerhead turtle on the Mediterranean coast of Spain
<p>T<span>emperature data loggers were deployed in 2015, 2016 and 2017 at simulated loggerhead sea turtle nests in 52 beaches scattered along the Mediterranean coast of Spain. Results demonstrated that sand temperature is currently high enough to allow the incubation of loggerhead turtles' clutches in most Spanish beaches. The data set provides with average sand temperature in simulated nests at 40 cm deep (one simulated net per beach, one beach in each sheet, each year in a different column). Data are missing for some years at certain beaches because the data logger did not work or was not recovered.</span></p>
Spreadsheet working analysis (uncleaned): correlation of global warming with Gross World Product (PPP) for 1850–2021
<p>This workbook has not been peer-reviewed. Do not cite. Use with caution.</p> <p>For analysis charts see the sheet entitled <em>CHARTS GDP totals and CO2.</em></p> <p><strong>Source data:</strong></p> <p>Gross world product data from:<br> Bolt, J., van Zanden, J.L., 2020. Maddison Project Database 2020 [WWW Document]. Univ. Gron. URL https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020 (accessed 11.22.22).</p> <p>Global CO2 data from:<br> CDIAC, 2017. Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center.<br> Friedlingstein, P., O’Sullivan, M., Jones, M.W., Andrew, R.M., Gregor, L., Hauck, J., Le Quéré, C., Luijkx, I.T., Olsen, A., Peters, G.P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J.G., Ciais, P., Jackson, R.B., Alin, S.R., Alkama, R., Arneth, A., Arora, V.K., Bates, N.R., Becker, M., Bellouin, N., Bittig, H.C., Bopp, L., Chevallier, F., Chini, L.P., Cronin, M., Evans, W., Falk, S., Feely, R.A., Gasser, T., Gehlen, M., Gkritzalis, T., Gloege, L., Grassi, G., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Houghton, R.A., Hurtt, G.C., Iida, Y., Ilyina, T., Jain, A.K., Jersild, A., Kadono, K., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J.I., Landschützer, P., Lefèvre, N., Lindsay, K., Liu, J., Liu, Z., Marland, G., Mayot, N., McGrath, M.J., Metzl, N., Monacci, N.M., Munro, D.R., Nakaoka, S.-I., Niwa, Y., O’Brien, K., Ono, T., Palmer, P.I., Pan, N., Pierrot, D., Pocock, K., Poulter, B., Resplandy, L., Robertson, E., Rödenbeck, C., Rodriguez, C., Rosan, T.M., Schwinger, J., Séférian, R., Shutler, J.D., Skjelvan, I., Steinhoff, T., Sun, Q., Sutton, A.J., Sweeney, C., Takao, S., Tanhua, T., Tans, P.P., Tian, X., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf, G.R., Walker, A.P., Wanninkhof, R., Whitehead, C., Willstrand Wranne, A., Wright, R., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., Zheng, B., 2022. Global Carbon Budget 2022. Earth Syst. Sci. Data 14, 4811–4900. https://doi.org/10.5194/essd-14-4811-2022</p>
All options, not silver bullets, needed to limit global warming to 1.5 °C: a scenario appraisal: parameter table
<p>Parameter table for the corrigendum of the paper "All options, not silver bullets, needed to limit global warming to 1.5 °C: a scenario appraisal" by Warszawski et al. (2021) published in Environmental Research Letters. </p> <p>The 50 emissions scenarios considered for analysis in this paper, including the numerical value for the 8 parameters (5 levers and 3 milestones) used in this analysis. For the individual levers, cells shaded blue stay within the high upper bounds, and cells shaded green stay within the medium upper bounds. Scenarios that stay within all high upper bounds, i.e. the filtered ensemble, are shaded blue. The SR1.5 scenarios P1-P4 are flagged on the left of the table. The P4, Shell and IEA scenarios appear at the end of the table.</p>
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.