Find research datasets worth reusing

opencc-by-4.0Sep 2024View details →

Supplementary data: model results for "Labor market evolution is a key determinant of global agroeconomic and environmental futures"

This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "Labor market evolution is a key determinant of global agroeconomic and environmental futures". The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: <a href="https://github.com/realxinzhao/paper-nc2024-LandBasedCDR-GCAM" target="_blank" rel="noopener">realxinzhao/paper-nc2024-LandBasedCDR-GCAM</a>. In addition, the data were used for generating results used in the paper. See more information at <a href="https://github.com/realxinzhao/paper-nfood2024-AgLaborEvolution-DisplayItems" target="_blank" rel="noopener">realxinzhao/paper-nfood2024-AgLaborEvolution-DisplayItems</a>.

opencc-by-4.0Sep 2024View details →

Future Projections and Life Cycle Assessment of End-of-life Tires to Energy Conversion in Hong Kong: Environmental, Climate and Energy Benefits for Regional Sustainability

The dataset presents the findings of the study "Future Projections and Lifecycle Assessment of End-of-life Tires to Energy Conversion in Hong Kong: Environmental, Climate and Energy Benefits for Regional Sustainability". The data results are contained in the files "Results_data.xlsx" and "LCIs and LCA results.zip," while the "Figures data.xlsx" file includes the data needed for plotting.

opencc-by-4.0Sep 2024View details →

SAFRAN Present Forcing (Historical: 2004/2014) and Future projections (RCP4.5 and RCP8.5: 2041/2060).

SAFRAN forcing refers to a set of meteorological data used to model the climate, covering both historical periods (2004-2014) and future projections under two greenhouse gas concentration scenarios (RCP4.5 and RCP8.5) for the period 2041-2060. Each dataset includes key parameters for climate analysis: cloud cover (NB), humidity (QA), direct radiation (RD), infrared radiation (RI), precipitation (RR), visible radiation (RV), snow cover (SS), temperature (TA), and wind strength (UA). These parameters are measured on a grid with variable resolution, ranging from 8 km in plains to 1 km in mountains and irrigated agricultural lands. This data is essential for understanding current and future atmospheric dynamics in the context of climate change.

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r14)

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r14)

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r2)

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r2)

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r6)

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r6)

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r3)

APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r3)

opencc-zeroDec 2018View details →

Data from: Future suitability of habitat in a migratory ungulate under climate change

With climate change, the effect of global warming on snow cover is expected to cause range expansion and enhance habitat suitability for species at their northern distribution limits. However, how this depend on landscape topography and sex in size-dimorphic species remains uncertain, and is further complicated for migratory animals following climate-driven seasonal resource fluctuations across vast landscapes. Using 11 years of data from a partially migratory ungulate at their northern distribution ranges, the red deer (Cervus elaphus), we predicted sex-specific summer and winter habitat suitability in diverse landscapes under medium and severe global warming. We found large increases in future winter habitat suitability, resulting in expansion of winter ranges as currently unsuitable habitat became suitable. Even moderate warming decreased snow cover substantially, with no suitability difference between warming scenarios. Winter ranges will hence not expand linearly with warming, even for species at their northern distribution limits. Although less pronounced than in winter, summer ranges also expanded and more so under severe warming. Summer habitat suitability was positively correlated with landscape topography and ranges expanded more for females than males. Our study highlights the complexity of predicting future habitat suitability for conservation and management of size-dimorphic, migratory species under global warming.

opencc-zeroJun 2019View details →

Data from: AviaNZ: a future-proofed program for annotation and recognition of animal sounds in long-time field recordings

The routine collection of long‐time acoustic recordings of animals in the field presents new challenges in data analysis. While many terabytes of data are collected annually, effective use of this noisy, highly variable data require skilled humans to manually identify calls. While computer programs to automatically analyse these recordings are becoming available, it is important that they are user‐friendly and easy‐to‐use, so that everybody – citizen scientists, wildlife managers, researchers – can take advantage of them, and that they keep the human in the loop so analyses carried out this year are comparable both to manual call counts from the past, and more accurate automated analyses performed in the future. We present the AviaNZ program, which is designed to achieve these goals: the software includes methods for simple, rapid manual annotation of recordings, denoising and segmentation methods, and a training procedure by which the user can prepare their own filters to automatically recognize individual species. The software can run in batch mode, automatically processing folders of field recordings, and then present the outputs to enable the quick and easy review of the results. Finally, the outputs are presented in a variety of spreadsheets to enable different statistical analyses to be performed. We describe the various workflows of manually and semi‐automatically processing sound files, annotating them to train automatic filters, using those filters in batch mode, and how the software facilitates rapid evaluation of the automated analysis. A demonstration of the software, comparing manual and automatic detection of calls of the little spotted kiwi Apteryx owenii is given. It shows that while the automatic detection does produce false positives, human correction of these is far faster than manual review of the whole sound file. AviaNZ is a freely available open‐source standalone program. Our experience shows that it can be used by anybody quickly and easily. However, for experienced users it is easily customizable and extendable. By enabling everybody involved with acoustic bird recording to quickly and easily analyse their own data, while future‐proofing it by keeping the human in the loop, we are enabling acoustic field recordings to meet their potential.

opencc-zeroDec 2017View details →

Data from: Hierarchical decision-making balances current and future reproductive success

Parental decisions in animals are often context-dependent and shaped by fitness trade-offs between parents and offspring. For example, the selection of breeding habitats can considerably impact the fitness of both offspring and parents, and therefore parents should carefully weigh the costs and benefits of available options for their current and future reproductive success. Here we show that resource-use preferences are shaped by a trade-off between parental effort and offspring safety in a tadpole-transporting frog. In a large-scale in-situ experiment, we investigated decision-strategies across an entire population of poison frogs that distribute their tadpoles across multiple water bodies. Pool use followed a dynamic and sequential selection process and transportation became more efficient over time. Our results point to a complex suite of environmental variables that are considered during offspring deposition, which necessitates a highly dynamic and flexible decision-making process in tadpole-transporting frogs.

opencc-zeroJun 2021View details →

Future fire-driven landscape changes along a southwestern US elevation gradient

Over the 21st century, the combined effects of increased fire activity and climate changes are expected to altered forest composition and structure in many ecosystems by changing post-fire successional trajectories and recovery. The southwestern US mountains encompass varied vegetation types and species according to elevation which do not respond the same to changing climate and fire regime. Moreover, fire exclusion applied during the early 20th century has altered forest structure and fuel loads compared to their natural states (i.e. without fire suppression). Consequently, uncertainties persist about future vegetation shifts along the elevation gradient. In this study, we simulated future vegetation dynamics along an elevation gradient in the southwestern US comprising pinyon-juniper woodlands, ponderosa pine forests and mixed conifer forests for the period 2000-2099, to quantify the effects of future climate conditions and projected wildfires on species productivity and distribution. While we expected to find larger changes at low elevation due to warmer and drier conditions, the largest changes occurred at high elevation in mixed-conifer forests and were caused by wildfire. The largest increase in high-severity and large fires were recorded in this vegetation type, leading to high mortality of the dominant species, Picea engelmannii and Abies lasiocarpa, which are not adapted to fire. The loss of these two species reduced biomass productivity at high elevation. In ponderosa pine forests and pinyon-juniper woodlands, fewer vegetation changes occurred due to higher abundance of well-adapted species to fire and the lower fuel loads mitigating projected fire activity, respectively. Thus, future research should prioritize understanding of the processes involved in future vegetation shifts in mixed-conifer forests in order to mitigate the risk of loss of diversity specific to high-elevation forests and the decrease in biomass productivity, and thus carbon storage capacity, of these ecosystems due to wildfires.

opencc-zeroDec 2015View details →

Data from: Climatic thresholds shape northern high-latitude fire regimes and imply vulnerability to future climate change

Boreal forests and arctic tundra cover 33% of global land area and store an estimated 50% of total soil carbon. Because wildfire is a key driver of terrestrial carbon cycling, increasing fire activity in these ecosystems would likely have global implications. To anticipate potential spatiotemporal variability in fire-regime shifts, we modeled the spatially explicit 30-yr probability of fire occurrence as a function of climate and landscape features (i.e. vegetation and topography) across Alaska. Boosted regression tree (BRT) models captured the spatial distribution of fire across boreal forest and tundra ecoregions (AUC from 0.63–0.78 and Pearson correlations between predicted and observed data from 0.54–0.71), highlighting summer temperature and annual moisture availability as the most influential controls of historical fire regimes. Modeled fire–climate relationships revealed distinct thresholds to fire occurrence, with a nonlinear increase in the probability of fire above an average July temperature of 13.4°C and below an annual moisture availability (i.e. P-PET) of approximately 150 mm. To anticipate potential fire-regime responses to 21st-century climate change, we informed our BRTs with Coupled Model Intercomparison Project Phase 5 climate projections under the RCP 6.0 scenario. Based on these projected climatic changes alone (i.e. not accounting for potential changes in vegetation), our results suggest an increasing probability of wildfire in Alaskan boreal forest and tundra ecosystems, but of varying magnitude across space and throughout the 21st century. Regions with historically low flammability, including tundra and the forest–tundra boundary, are particularly vulnerable to climatically induced changes in fire activity, with up to a fourfold increase in the 30-yr probability of fire occurrence by 2100. Our results underscore the climatic potential for novel fire regimes to develop in these ecosystems, relative to the past 6000–35 000 yr, and spatial variability in the vulnerability of wildfire regimes and associated ecological processes to 21st-century climate change.

opencc-zeroAug 2021View details →

Data from: The role of ventromedial prefrontal cortex in reward valuation and future thinking during intertemporal choice

The paper investigates the effect of reward magnitude and episodic future thinking (EFT) cues on delay discounting (DD) in 12 patients with lesions to the ventromedial prefrontal cortex (vmPFC patients) and 41 healthy controls. In the Standard condition, participants viewed pairs of monetary amounts (of different magnitude) and were asked to make hypothetical choices between smaller-immediate rewards and larger rewards available after a delay. In the EFT condition, participants imagined personal events to occur at the delays associated with the larger-delayed rewards. We found that DD was steeper in vmPFC patients compared to controls, and not modulated by reward magnitude. However, EFT cues reduced DD in vmPFC patients as well as controls. This dataset reports individual and group data on the subjective value of small and large rewards at the different task delays, the resulting area under the curve (AuC), and the number of inconsistent choices during DD. A summary of the relevant variables and variable legenda is reported on the README file.

opencc-by-4.0Aug 2021View details →

Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality [Dataset]

The calcium imaging data of the telencephalon of head-tethered adult zebrafish during GO/NOGO tasks in the virtual reality environment and the behavior data were deposited. The codes to process the neural activity data by calcium imaging to perform Non-negative Matrix Factorization  For details, see "Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality" Torigoe et al., Nature Communications in press.

Figure 4 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?

Figure 4. Maps of the potential distribution of O. septentrionalis as expected for 2020, 2050 and 2080 assuming A2a and B2a conditions. Maps show mean values of Maxent values derived from models projected onto CCCMA, CISRO and HADCM3 scenarios.

Figure 3 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?

Figure 3. Comparison between the known distribution of O. septentrionalis (A) (source: Johnson (2007)) and model prediction in Florida (B). Spread history of O. septentrionalis is indicated.

Figure 2 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?

Figure 2. Potential distribution of O. septentrionalis under current climate conditions within the Caribbean. Higher Maxent values suggest higher climatic suitability. Native records are indicated as points and invasive records as triangles.

Figure 1 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?

Figure 1. Comparison of climatic conditions at native and invasive records of Osteopilus septentrionalis. Native records used for model building are indicated in black, invasive records in grey.

opencc-zeroDec 2020View details →

Response of Avian communities to edges of tropical montane forests: Implications for the future of endemic habitat specialists

Tropical montane landscapes harbor diverse flora and fauna, and many species there are ecological specialists with narrow elevational distributions, limited geographic ranges, and small global populations. Along elevational gradients, environmental conditions and community composition change dramatically over small spatial scales. As forests are disturbed and edges formed with modified habitat, natural communities could be affected differently across elevations by the many physical and biotic changes at edges. We asked whether forest edges produced altered patterns of avian species composition along a cloud forest - dry forest gradient on the Pacific slope of the Tilarán mountains in Monteverde, Costa Rica. A strong moisture gradient produces cloud forests near the ridgetops, with a concentration of species endemic to the Costa Rica – Panama highlands that are habitat specialists. We conducted 552 point counts across 110 locations from 1100 to 1800 m elevation, yielding 6586 detections of 115 species in 10 km2 of montane forest. We analyzed differences in species composition and single-species abundances between interior and near-edge forest habitats for species grouped by geographic range size. Species composition changed markedly from forest edge to interior in cloud forest habitats, but not in drier forests downslope. Endemic species, especially in cloud forest, were detected less frequently in mature forest near edges than in mature forest interior, and this difference was more pronounced than for cosmopolitan species. On tropical mountainsides, we can expect habitat-specialist endemic species to be more sensitive to further habitat modification. This sensitivity could limit the resilience of tropical bird communities.