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opencc-by-4.0Aug 2022View details →

National SDG-7 performance assessment to support achieving sustainable energy for all within planetary limits

Supplementary materials for publication Gebara et al. 2022, "National SDG-7 performance assessment to support achieving sustainable energy for all within planetary limits".

opencc-zeroJun 2024View details →

Dataset: Brooge Energy Limited (BROGW) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →

Dataset: Brooge Energy Limited (BROG) Stock Performance

opencc-zeroJun 2024View details →

Dataset: Iris Energy Limited (IREN) Stock Performance

opencc-by-4.0Aug 2023View details →

Plane waves versus correlation-consistent basis sets: A comparison of MP2 non-covalent interaction energies in the complete basis set limit

Supporting data and analysis scripts for the work <a href="https://doi.org/10.26434/chemrxiv-2023-203z9">Plane waves versus correlation-consistent basis sets: A comparison of MP2 non-covalent interaction energies in the complete basis set limit</a>

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Energetic limits: Defining the bounds and trade-offs of successful energy management in a capital breeder

1. Judicious management of energy can be invaluable for animal survival and reproductive success. Capital breeding mammals typically transfer energy to their young at extremely high rates while undergoing prolonged fasting, making lactation a tremendously energy demanding period. Effective management of the competing demands of the mother's energy needs and those of her offspring is presumably fundamental to maximising lifetime reproductive success. 2. How does the mother maximise her chances of successfully rearing her pup, by ensuring that both her pup and herself have sufficient energy during this 'energetic fast'? While energy management models were first discussed in the 1990s, application of this analytical technique is still very much in its infancy. Recent work suggests that a broad range of species exhibit 'energy compensation'; during periods when they expend more energy on activity, their bodies partially compensate by reducing background (basal) metabolic rate as an adaptation to limit overall energy expenditure. However, the value of energy management models in understanding animal ecology is presently unclear. 3. We investigate whether energy management models provide insights into the breeding strategy of phocid seals. Not only do we expect lactating seals to display energy compensation because of their breeding strategy of high energy transfer while fasting, but we anticipate that mothers exhibiting a lack of energy compensation are less likely to rear offspring successfully. 4. On the Isle of May in Scotland, we collected heart rate data as a proxy for energy expenditure in 52 known individual grey seal (Halichoerus grypus) mothers, repeatedly across three years of breeding. We provide evidence that grey seal mothers typically exhibit energy compensation during lactation by down-regulating their background metabolic rate to limit daily energy expenditure during periods when other energy costs are relatively high. However, individuals that fail to energy compensate during the lactation period are more likely to end lactation earlier than expected. 5. Our study is the first to demonstrate the importance of energy compensation to an animal's reproductive expenditure. Moreover, our multi-seasonal data indicate that environmental stressors may reduce the capacity of some individuals to follow the energy compensation strategy.

opencc-zeroAug 2020View details →

zenodo36/100

Data for The role of halogens in Au-S bond cleavage for energy-differentiated catalysis at the single-bond limit

The source data for figures in The role of halogens in Au-S bond cleavage for energy-differentiated catalysis at the single-bond limit

opencc-by-4.0Oct 2023View details →

zenodo36/100

Greening the financial regulation by optimizing credit limits for renewable energy

Numerical Data used in the empirical part of the paper

opencc-by-4.0May 2022View details →

dryad36/100

Energetic limits: Defining the bounds and trade-offs of successful energy management in a capital breeder

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publicAug 2020View details →

opencc-by-4.0Apr 2020View details →

Tour de France data for the improvement of energy consumption in devices powered by limited energy sources

We propose a set of data that were collected as part of a "tour de France" with electrical wheelchair. Part of these data are allowed to propose a mathematical model based on an experimental methodology on the energy consumed in smartphones. The objective is to make accessible the data related to the publications in several fields of research (computer science, telecommunication, meteorological science, artificial intelligence, statistics ...)

opencc-by-4.0Dec 2019View details →

Data from: Mortality limits used in wind energy impact assessment underestimate impacts of wind farms on bird populations

In this archive we share the data and R code used for the construction of population models for seven bird species (Common Starling, Black-tailed Godwit, Marsh Harrier, Eurasian Spoonbill, White Stork, Common Tern and White-tailed Eagle) for our assessment of the effects of wind farms (Schippers et al. 2020). In most cases we parameterized our population models based on species-specific survival and reproduction rates from scientific articles and reports, but in the case of the Western Marsh Harrier we analyzed previously unpublished nest success and capture-mark-resighting data. Below we first describe per species which data we used for model parameterization, and then describe per data file what each variable represents. We selected populations of seven species based on the availability of data, considerable likelihood to collide with wind turbines and contrasting ages of first reproduction. For species for which long time series of demographic data were available with population trends clearly changing over time, we separately assessed periods with contrasting population trends, as detailed in the species descriptions below. Mean survival and reproduction rates, standard deviations and additional information like the age of first reproduction can be found in the accompanying paper by Schippers et al. (2020).    Common Starling On the fast-slow continuum of reproductive capacity, the common starling is the fastest of the seven species we selected: it starts reproducing at an age of one year. We used the mean survival and reproductive rates for the whole Dutch breeding population (Versluijs et al. 2016), distinguishing three separate periods: 1960-1978, 1978-1990 and 1990-2012. In the first period (1960-1978) the population grew at 10% per year. This was followed by a period where the population was relatively stable (1978-1990). During the last period (1990-2012) the population declined strongly.   Black tailed Godwit Kentie et al. (2017) studied two Dutch populations of the Black-tailed Godwit in southwestern Fryslân (Skriezekrite and Kuststrook) over four to five annual transitions (Kentie et al. 2017). Godwits started reproducing at age two, but only had 0.5-0.6 fledglings per breeding pair per year. The adults are rather long-lived with an 86% annual survival rate. We construct separate matrix models for the two populations.   Marsh Harrier Mean vital rates of the Dutch breeding population of Marsh Harriers were estimated for 1997-2015 using respectively ring recoveries available at the Dutch Centre for Avian Migration and Demography NIOO-KNAW and reproduction data from the Dutch Raptor Working Group. Annual survival of Marsh Harriers was analyzed using live re-sightings and dead recoveries of 12,059 birds ringed as nestling between 1991 and 2016 and 74 birds ringed as ‘adult’ in the same period (due to low sample sizes, birds ringed in their first and second calendar year were lumped with older birds in the ‘adult’ category; see ‘marshHarrierSurvival.csv’ below). Nest success was estimated using data of 1914 nests, which were followed from the beginning to the end of the nest cycle, in the Netherlands between 1997 and 2015 (see ‘marshHarrierReproduction.csv’ below; we thank Rob G. Bijlsma for making the data available).    Spoonbill For each year in the 1994-2008 period, age-specific (first-year, second-year, third-year, older) annual survival rates were derived for the Dutch Spoonbill population from van der Jeugd et al. (2014). Participation in the breeding population was 0% in the first three years and went up from 63% at age four to 95% at age 6 and older.   White Stork Schaub et al. (2004) analyzed demographic data on White Storks in Switzerland from 1977 till 2000. Here we extracted annual survival and reproduction rates from the COMADRE Animal Matrix Database (version 2.0.1; Salguero-Gómez et al., 2016). Storks start reproducing at age 3, with breeding participation increasing with age from 48% to 100%.    Common Tern For the Common Tern we used mean vital rate estimates published by van der Jeugd et al. (2014) for the Dutch Waddenzee population, including the Northern part of the IJsselmeer, between 2000 and 2010 (van der Jeugd et al. 2014). The total Waddenzee and IJsselmeer population is estimated at 7,630 pairs (average population 2010-2014), constituting approximately 40% of the Dutch breeding population of about 20,000 pairs (Sovon 2016).    White-tailed Eagle Krüger et al. (2010) published demographic data on White-tailed Eagles in Schleswig-Holstein, Germany, over the period 1947 till 2008. Following these authors, and based on the two matrices in COMADRE v.2.0.1 (Salguero-Gómez et al., 2016), we used separate matrix models for the early period (stable population dynamics) and from 1975 onwards (population growth). These eagles start reproducing at age five.    Here we describe the archived files:   matrices.R This annotated R file details how the vital rate estimates are used to construct age-structured, post-breeding-census, one-year-timestep population matrix models. In these so-called post-breeding census models the birds in the first class were 0 years old (Caswell 2001).   commonstarling19602012.csv Mean survival and reproductive rates for the whole Dutch breeding population of Common Starlings for the time period 1960-2012.  year                 = start year juvSurv = first-year survival of fledgelings adultSurv        = annual survival of older birds fec                   = number of fledgelings per pair (which have a 1:1 sex ratio)   blacktailedgodwit20112016.csv Mean survival and reproduction rates of the Black-tailed Godwit in southwestern Fryslân (populations Skriezekrite and Kuststrook) over four to five annual transitions in the period 2011-2016.  pop                  = population startYear         = start year adultSurv        = annual survival of older birds chickSurv         = first-year survival of chicks nestSuc           = probability that a nest is successful   marshharrier19972015.csv Mean vital rates of the Dutch breeding population of Western Marsh Harriers for 1997-2015. year                 = start year r                       = number of fledgelings per pair s1                    = first-year survival of fledgelings s2                    = annual survival of older birds   marshharrierreproduction.csv Western Marsh Harrier nest record data of in the Netherlands. year                 = year clutchSize        = number of eggs young              = number of chicks (if known) fledgelings       = number of fledgelings       marshharriersurvival.csv Ringing and resighting data (using EURING coding) on Western Marsh Harriers in the Netherlands.  ringID              = ring identifier date                 = observation date metalRingInformation 1 = Metal ring added (where no metal ring was present), position (on tarsus or above) unknown or unrecorded. 2 = Metal ring added (where no metal ring was present), definitely on tarsus. 3 = Metal ring added (where no metal ring was present), definitely above tarsus. 4 = Metal ring is already present. condition          0 = Condition completely unknown. 1 = Dead but no information on how recently the bird had died (or been killed). 2 = Freshly dead – within about a week. 3 = Not freshly dead – information available that it had been dead for more than about a week. 4 = Found sick, wounded, unhealthy etc. and known to have been released (including ring or other mark identified on a bird in poor condition without the bird having being caught). 5 = Found sick, wounded, unhealthy etc. and not released or not known if released. 6 = Alive and probably healthy but taken into captivity. 7 = Alive and probably healthy and certainly released (including ring or other mark identified on a healthy bird without the bird having being caught). 8 = Alive and probably healthy and released by a ringer (including ring or other mark identified on the bird by a ringer without the bird having being caught).  ageReported    0 = Age unknown, i.e. not recorded. 1 = Pullus: nestling or chick, unable to fly freely, still able to be caught by hand. 2 = Full-grown: able to fly freely but age otherwise unknown. 3 = First-year: full-grown bird hatched in the breeding season of this calendar year. 4 = Afer first-year: full-grown bird hatched before this calendar year; year of hatching otherwise unknown. 5 = 2nd year: a bird hatched last calendar year and now in its second calendar year. 6 = Afer 2nd year: full-grown bird hatched before last calendar year; year of hatching otherwise unknown. 7 = 3rd year: a bird hatched two calendar years before, and now in its third calendar year. 8 = Afer 3rd year: a full-grown bird hatched more than three calendar years ago (including present year as one); year if bird otherwise unknown. 9 = 4th year: a bird hatched three calendar years before, and now in its fourth calendar year. A = Afer 4th year: a bird older than category 9 – age otherwise unknown. sexReported U = Unknown M = Male F = Female   eurasianspoonbill19942008.csv For each year in the 1994-2008 period, age-specific (first-year, second-year, third-year, older) annual survival rates are given for the Dutch Spoonbill population. year     = start year fled      = number of fledgelings per breeding pair s1        = first-year survival rate s2        = second-year survival rate s3        = third-year survival rate s4        = older birds' annual survival rate   whitestork19772000.csv Demographic data on White Storks in Switzerland from 1977 till 2000. year     = start year fled      = number of fledgelings per pair sj         = first-year survival of fledgelings sa         = annual survival of older birds   commontern19942009.csv Mean vital rate estimates for the Common Tern for the Dutch Waddenzee population, including the Northern part of the IJsselmeer, between 2000 and 2010. year     = start year r           = number of daughter fledgelings per adult female s1        = first-year survival rate s2        = second-year survival rate sA        = older birds' annual survival rate   whitetailedeaglepmat1.csv whitetailedeaglepmat2.csv whitetailedeaglefmat1.csv whitetailedeaglefmat2.csv White-Tailed Eagle age-specific survival (Pmat) and reproduction (Fmat) matrices as found in COMADRE v.2.0.1, for Schleswig-Holstein, Germany, studied over the period 1947-2008. Period 1 lasts upto 1975, period 2 from 1975.

opencc-zeroDec 2015View details →

Data from: Ecophysiological limits to aerobic metabolism in hypoxia determine epibenthic distributions and energy sequestration in the northeast Pacific ocean

Expansion of oxygen deficient waters (hypoxia) in the northeast Pacific Ocean (NEP) will have marked impacts on marine life. The response of the resident communities will be a function of their ecophysiological constraints in low oxygen, although this remains untested in the NEP due to a lack of integrative studies. Here, we combine in situ surveys and lab-based respirometry experiments were conducted on three indicator species (spot prawn Pandalus platyceros, slender sole Lyopsetta exilis, squat lobster Munida quadrispina) of seasonally hypoxic systems in the NEP to test if metabolic constraints determine distributions and energy sequestration in a hypoxic setting. These experiments were integrated with a global review of critical oxygen levels ( math formula; lower threshold of aerobic metabolism) for crustaceans to determine if math formula-based hypoxia thresholds are different among ocean basins. Our results show that species-specific differences in math formula and standard metabolic rates (1) determine the lowest environmental oxygen ([O2]env) at which in situ populations occur, (2) result in disproportionate shifts in distributions among co-occurring species during summer hypoxia expansion events, and (3) characterize shifts in megafaunal community respiration rates due to marked spatio-temporal variability in [O2]env. Our results show that math formula-based hypoxia thresholds are significantly lower in the East Pacific Ocean relative to other major ocean basins, which suggests that the physiological response of local fauna to deoxygenation can be determined by the natural variability and oxygen exposure in a region. In order to establish realistic predictions on the biological consequences of marine deoxygenation, we suggest integrating metabolism-based traits to calculate hypoxia thresholds for marine ecosystems.

opencc-zeroDec 2017View details →

Data from: Is biodiversity energy-limited or unbounded? A test in fossil and modern bivalves

The quantity of biomass in an ecosystem is constrained by energy availability. It is less clear, however, how energy availability constrains taxonomic and functional diversity. Competing models suggest biodiversity is either resource-limited or far from any bound. We test the hypothesis that functional diversity in marine bivalve communities is constrained by energy availability, measured as particulate organic carbon (POC) flux, in the modern oceans. We find that POC flux predicts the relative prevalence of ecological modes in both the Atlantic and Pacific oceans. Moreover, the associations of ecological modes with POC fluxes are similar between the Atlantic and Pacific despite being based on independent sets of species, indicating a direct causal relationship. We then use the relationship between POC flux and the prevalence of functional groups in the modern to test the hypothesis that the trend of increasing functional diversity in bivalves across the past 500 million years has occurred in response to increased POC flux. We find no evidence that the earliest appearing modes of life are preferentially associated with low POC environments or that the mean POC flux experienced by marine bivalves has increased across geological time. To reconcile the close association between ecological mode and POC flux in the modern oceans with the lack of evidence for increasing POC fluxes across time, we propose that POC flux has not increased substantially over time but, rather, the increase in bivalve functional diversity enabled bivalves to become more abundant, to occupy a broader range of environments, and to capture a greater fraction of the total POC flux. The results here suggest at geographic scale of oceans and through geologic time bivalve diversity was not bounded by food availability.

opencc-zeroDec 2013View details →

Data from: When should species richness be energy limited, and how would we know?

Energetic constraints are fundamental to ecology and evolution, and empirical relationships between species richness and estimates of available energy (i.e. resources) have led some to suggest that richness is energetically constrained. However, the mechanism linking energy with richness is rarely specified and predictions of secondary patterns consistent with energy-constrained richness are lacking. Here, we lay out the necessary and sufficient assumptions of a causal relationship linking energy gradients to richness gradients. We then describe an eco-evolutionary simulation model that combines spatially explicit diversification with trait evolution, resource availability and assemblage-level carrying capacities. Our model identified patterns in richness and phylogenetic structure expected when a spatial gradient in energy availability determines the number of individuals supported in a given area. A comparison to patterns under alternative scenarios, in which fundamental assumptions behind energetic explanations were violated, revealed patterns that are useful for evaluating the importance of energetic constraints in empirical systems. We use a data set on rockfish (genus Sebastes) from the northeastern Pacific to show how empirical data can be coupled with model predictions to evaluate the role of energetic constraints in generating observed richness gradients.

opencc-by-4.0May 2024View details →

Precipitation-induced dissipation limits storm kinetic energy in a warming climate

This zip file contains data and codes to reproduce the figures of a manuscript on precipitation-induced dissipation in X-SHiELD. Contact mbolot@princeton.edu for questions.

opencc-by-4.0Sep 2024View details →

Data and R File - The Role of Nutrient and Energy Limitation on Microbial Decomposition of Deep Podzolized Carbon: A Priming Experiment

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publicFeb 2015View details →

Data from: When should species richness be energy limited, and how would we know?

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publicDec 2017View details →

Data from: Ecophysiological limits to aerobic metabolism in hypoxia determine epibenthic distributions and energy sequestration in the northeast Pacific ocean

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publicJan 2018View details →

Data from: Is biodiversity energy-limited or unbounded? A test in fossil and modern bivalves

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