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Supplementary material 2 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141
Forschungsdatenmanagement mit NFDI: Wie sind wir vorbereitet? Wie partizipieren wir?
Supplementary material 4 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141
Photographs of notes from the discussions in the Leibniz Sessions
Phase II: The Future of LNG for the US and Gulf Coast Economies
<p>The continued growth of Liquefied Natural Gas (LNG) production and long-distance trade has traditionally been taken as a given by global energy analysts, who have premised their positive estimates on gas being both relatively scarce and demand for it virtually unquenchable. Unfortunately, current conditions in the global energy market suggest that what many have predicted as a near perpetual increase in the volume of traded LNG is in fact a bubble that is now in the process of bursting. This report represents the efforts by the University of New Orleans Transportation Institute (UNOTI) beginning in 2014 to assist the Port of New Orleans (PONO) in evaluating the feasibility and best practices of equipping the PONO for potential storage and shore-side infrastructure for fueling vessels powered by LNG, as well as research into the feasibility of the widespread use of LNG as marine fuel, considering the new United Nation’s International Maritime Organization’s (IMO) MARPOL Annex VI maritime emissions regulations set to take effect in 2020. Additionally, this report examines both the short and long-term factors behind this new thinking about LNG, explore what it implies for the several multi-billion-dollar export projects being built in Louisiana, and the feasibility of LNG as a US export commodity and industrial feedstock to the petrochemical industry. This report concludes by suggesting that development policy aiming to assist LNG export projects are likely misplaced, and that a primary focus on value-added petrochemical manufacturing, with a secondary value as potential for a marine fuel, is a more robust path for the region’s policymakers to take.</p>
Effects of low-carbon energy adoption on airborne particulate matter concentrations with feedbacks to future climate over California
<p>California plans to reduce emissions of long-lived greenhouse gases (GHGs) through adoption of new energy systems that will also lower concentrations of short-lived absorbing soot contained in airborne particulate matter (PM). Here we examine the direct and indirect effects of reduced PM concentrations under a low-carbon energy (GHG-Step) scenario on radiative forcing in California. Simulations were carried out using the source-oriented WRF/Chem (SOWC) model over California with 12 km spatial resolution for the year 2054. The avoided aerosol emissions due to technology advances in the GHG-step scenario reduce ground level PM concentrations by ~8.85% over land compared to the Business as Usual (BAU) scenario, but changes to meteorological parameters are more modest. Top of atmospheric forcing predicted by the SOWC model increased by 0.15 W m<sup>-2</sup>, surface temperature warmed by 0.001 K, and planetary boundary layer height (PBLH) increased by 2.20 cm in the GHG-Step scenario compared to the BAU scenario. PM climate feedbacks are small because the significant changes in ground level PM concentrations associated with the GHG-Step scenario are limited to the first few hundred meters of the atmosphere, with little change for the majority of the vertical column above that level. As an order-of-magnitude comparison, the long-term effects of global reductions in GHG emissions (RCP8.5 – RCP4.5) lowered average surface temperature over the California study domain by approximately 0.76 K. The effects of long-lived climate pollutants such as CO<sub>2</sub> are much stronger than the effects of short-lived climate pollutants such as PM soot over California in the year 2054. </p>
Supplementary material 1 from: Schertler A, Rabitsch W, Moser D, Wessely J, Essl F (2020) The potential current distribution of the coypu (Myocastor coypus) in Europe and climate change induced shifts in the near future. NeoBiota 58: 129-160. https://doi.org/10.3897/neobiota.58.33118
Supplementary materials
Data of the ER 2020 Publication: Past Trends and Future Prospects in Conceptual Modeling - A Bibliometric Analysis
<p>Related Publication:</p> <p>Härer, Felix, Fill, Hans-Georg (2020): Past Trends and Future Prospects in Conceptual Modeling - A Bibliometric Analysis. Accepted for: 39th International Conference on Conceptual Modeling, ER 2020.</p> <p>Contents:</p> <ul> <li>The directory <em>Descriptive Analysis</em> contains all publications of the analysis database used for the descriptive analysis.</li> <li>The directory <em>Bibliometric Analysis</em> contains the NLP and analysis processes for RapidMiner with stopwords and synonyms.</li> </ul>
Statistical prediction of the future impairs episodic encoding of the present
<p>The following submission contains the behavioral data reported from the manuscript "Statistical prediction of the future impairs episodic encoding of the present". Data from four experiments are included. All experiments contained a learning phase, in which participants viewed a series of trial-unique scenes drawn from one of 12 scene categories and were asked to report whether or not the on-screen scene contained a manmade object. Accuracy and response time were measured during this task. Each scene category belonged to one of three conditions: <em>A</em> scenes, which were predictive of <em>B</em> scenes (which were thus predictable), and <em>X</em> scenes which could be preceded or followed by any number of scene categories and thus were neither predictive nor predictable. All experiments also contained a memory phase, in which participants were shown a scene image and were asked to indicate whether or not that particular scene image was presented in the learning phase. All scenes from the learning phase, in addition to a subset of images that were not presented during the learning phase (foils) were presented during the memory phase. After indicating whether an image was old or new, participants then indicated their confidence in their response (Experiments 1a, 1b & 3) or when in time they remember seeing the image (Experiment 2; old responses only). Experiments 1a & 2 additionally contained a category pair test. On each trial, participants were presented with two pairs of images and were asked to indicate which pair felt more familiar to them. Trials consisted either of a true A/B pair and a scrambled A/B pair (for which a trial would be accurate if participants chose the true A/B pair), or two dummy-coded X/X pairs (to which there was no objectively correct answer). </p>
Estimating social-ecological resilience: fire management futures in the Sonoran Desert
Resilience quantifies the ability of a system to remain in or return to its current state following disturbance. Due to inconsistent terminology and usage of resilience frameworks, quantitative resilience studies are challenging, and resilience is often treated as an abstract concept rather than a measurable system characteristic. We used a novel, spatially-explicit stakeholder engagement process to quantify social-ecological resilience to fire, in light of modeled social-ecological fire risk, across the non-fire-adapted Sonoran Desert Ecosystem in Arizona, USA. Depending on its severity and the characteristics of the ecosystem, fire as a disturbance has the potential to drive ecological state change. As a result, fire regime change is of increasing concern as global change and management legacies alter the distribution and flammability of fuels. Because management and use decisions impact resources and ecological processes, social and ecological factors must be evaluated together to predict resilience to fire. We found highest fire risk in the central and eastern portions of the study area, where flammable fuels occur with greater density and frequency and managers reported fewer management resources than in other locations. We found lowest fire resilience in the southeastern portion of the study area, where combined ecological and social factors, including abundant fuels, few management resources, and little evidence of past institutional adaptability, indicated that sites were least likely to retain their current characteristics and permit achievement of current management objectives. Analyzing ecological and social characteristics together permits regional managers to predict the effects of changing fire regimes across large, multi-jurisdictional landscapes and to consider where to direct resources. This study brought social and ecological factors together into a common spatial framework to produce vulnerability maps; our methods may inform researchers and managers in other systems facing novel disturbance and spatially-variable resilience.
Using a Backcasting Framework to Develop Future School Models: What if compulsory schooling was a 21st century invention?
<p>The research results provide (a) a full list of the Focus School Elements with the consensus statements from Round Three of our modified Delphi process, and (b) a description of the five researcher developed scenarios developed from the 17 participant developed scenarios from Round Four of our modified Delphi process.</p>
Exemple preus de tancament dels futurs elèctrics
<p><strong>El dataset que hem escollit és un conjunt de dades que es correspon amb els preus de mercat dels futurs elèctrics. Les dades estan compostes per quatre variables o atributs: ‘Dia’, ‘Preu Base (€)’ i ‘Preu Pic (€)’ del futur elèctric. S’ha pres la variable ‘Dia’ com a índex del dataset.</strong></p>
The digital future of a founding text : the Iliad and the Genavensis Græcus 44
<p>Set de données du projet FNS 172733: "Le devenir numérique d'un texte fondateur : l'<em>Iliade</em> et le <em>Genavensis Græcus 44</em>".</p> <p>Dataset from the FNS 172733 Project: "The digital future of a founding text : the Iliad and the Genavensis Græcus 44".</p> <p> </p> <p> </p>
First evaluation of an absolute quantum gravimeter (AQG#B01) for future field experiments
<p>Quantum gravimeters are a promising new development allowing for continuous absolute gravity monitoring while<br> remaining user-friendly and transportable. In this study, we present experiments carried out to assess the capacity of the<br> AQG#B01 in view of future deployment as a field gravimeter for hydro-geophysical applications. The AQG#B01 is the field<br> version follow-up of the AQG#A01 portable absolute quantum gravimeter developed by the French quantum sensor company<br> Muquans. We assess the instrument’s performance in terms of stability (absence of instrumental drift), sensitivity in relation to<br> other gravimeters. Furthermore, the measurements allowed for the successful monitoring of a hydrological mass change. We<br> discuss the observations concerning the accuracy of the AQG#B01 in comparison with a state-of-the-art absolute gravimeter<br> (Micro-g-LaCoste, FG5#228). Repeatability is tested by instrument displacement between close-by measurement positions.<br> We report the repeatability to be better than 50 nm.s−2 . No significant instrumental drift was observed over several weeks<br> of measurement. This study furthermore investigates whether changes of instrument tilt and external temperature and com-<br> bination of both, which are likely to occur during field campaigns, influence the measurement of gravitational attraction. We<br> ◦repeatedly tested external temperatures between 20 and 30 C and did not find any significant effect. We report two weeks<br> of stable operation under semi-terrain conditions in a garage without temperature-control. As an example of a geophysical<br> signal, a 100 nm.s−2 gravity change is detected with the AQG#B01 after a rainfall event at the Larzac geodetic observatory<br> (Southern France). The data agreed with the gravity changes measured with a superconducting relative gravimeter (GWR,<br> iGrav#002) and the expected gravity change simulated as an infinite Bouguer slab approximation. We close with operational<br> recommendations for potential users and discuss specific possible future field applications. While not claiming completeness,<br> we nevertheless present the first characterisation of a quantum gravimeter carried out by future users. Crucial criteria for the<br> assessment of its suitability in field applications have been investigated and are complemented with a discussion of further<br> necessary experiments.</p> <p> </p>
FIGURE 2 in Freshwater fishes from Paraná State, Brazil: an annotated list, with comments on biogeographic patterns, threats, and future perspectives
FIGURE 2. Specific richness in freshwater fish species by orders in the Paraná State, Brazil.
Pollution control can help mitigate future climate change impacts on European grayling in the UK
<p><span><u>Aim</u></span></p> <p><span>We compare the performance of habitat suitability models using climate data only or climate data together with water chemistry, land cover and predation pressure data to model the distribution of European grayling (<i>Thymallus thymallus</i>). From these models, we (1) investigate the relationship between habitat suitability and genetic diversity; (2) project the distribution of grayling under future climate change and (3) model the effects of habitat mitigation on future distributions. </span></p> <p><span><u>Location</u></span></p> <p><span>United Kingdom</span></p> <p><span><u>Methods</u></span></p> <p><span>Maxent species distribution modelling was implemented using a Simple model (only climate parameters) or a Full model (climate, water chemistry, land-use and predation pressure parameters). Areas of high and low habitat suitability were designated. Associations between habitat suitability and genetic diversity for both neutral and adaptive markers were examined. Distribution under minimal and maximal future climate change scenarios was modelled for 2050, incorporating projections of future flow scenarios obtained from the Centre for Ecology and Hydrology. To examine potential mitigation effects within habitats, models were run with manipulation of orthophosphate, nitrite and copper concentrations. </span></p> <p><span><u>Results</u></span></p> <p><span>We mapped suitable habitat for grayling in the present and the future. The full model achieved substantially higher discriminative power than the Simple model. For low suitability habitat, higher levels of inbreeding were observed for adaptive, but not neutral loci. Future projections predict a significant contraction of highly suitable areas. Under habitat mitigation, modelling suggests that recovery of suitable habitat of up to 10% is possible.</span></p> <p><span><u>Main conclusions</u></span></p> <p><span>Extending the climate-only model improves estimates of habitat suitability. Significantly higher inbreeding coefficients were found at immune genes, but not neutral markers in low suitability habitat indicating a possible impact of environmental stress on evolutionary potential. The potential for habitat mitigation to alleviate distributional changes under future climate change is demonstrated and specific recommendations are made for habitat recovery on a regional basis.</span></p>
Supplementary material 3 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 2
Supplementary material 4 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 3
Supplementary material 1 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 1
Supplementary material 2 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Table S1
Data from: Future climate change is predicted to affect the microbiome and condition of habitat-forming kelp
Climate change is driving global declines of marine habitat-forming species through physiological effects and through changes to ecological interactions, with projected trajectories for oceanwarming and acidification likely to exacerbate such impacts in coming decades. Interactions between habitat-formers and their microbiomes are fundamental for host functioning and resilience, but how such relationships will change in future conditions is largely unknown. We investigated independent and interactive effects of warming and acidification on a large brown seaweed, the kelp Ecklonia radiata, and its associated microbiome in experimental mesocosms. Microbial communities were affected by warming and, during the first week, by acidification. During the second week, kelp developed disease-like symptoms previously observed in the field. The tissue of some kelp blistered, bleached and eventually degraded, particularly under the acidification treatments, affecting photosynthetic efficiency. Microbial communities differed between blistered and healthy kelp for all treatments, except for those under future conditions of warming and acidification, which after two weeks resembled assemblages associated with healthy hosts. This indicates that changes in the microbiome were not easily predictable as the severity of future climate scenarios increased. Future ocean conditions can change kelp microbiomes and may lead to host disease, with potentially cascading impacts on associated ecosystems.
Data from: Carry-over effects of the social environment on future divorce probability in a wild bird population
Initial mate choice and re-mating strategies (infidelity and divorce) influence individual fitness. Both of these should be influenced by the social environment, which determines the number and availability of potential partners. While most studies looking at this relationship take a population-level approach, individual-level responses to variation in the social environment remain largely unexplored. Here, we explore carry-over effects on future mating decisions of the social environment in which the initial mating decision occurred,. Using detailed data on the winter social networks of great tits we tested whether the probability of subsequent divorce, a year later, could be predicted by measures of the social environment at the time of pairing. We found that males that had a lower proportion of female associates, and whose partner ranked lower amongst these, as well as inexperienced breeders, were more likely to divorce after breeding. We found no evidence that a female's social environment influenced the probability of divorce. Our findings highlight the importance of the social environment that individuals experience during initial pair formation on later pairing outcomes, and demonstrate that such effects can be delayed. Exploring these extended effects of the social environment can give valuable insights into processes and selective pressures acting upon the mating strategies that individuals adopt.
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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.