cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.h6qp4
title: Data from: Oxygen limitation at the larval stage and the evolution of maternal investment per offspring in aquatic environments

description: Many selective agents have been implicated in the evolution of maternal
 investment per offspring. Although oxygen limitation and
 surface-area-to-volume relationships were historically thought to
 constrain investment in individual eggs in aquatic environments, a weight
 of evidence now indicates that egg size per se does not influence oxygen
 availability to embryos. Yet, larval size is related to egg size, and
 hence investment per offspring, thus the scaling of oxygen assimilation
 efficiency with larval size may still constrain investment per offspring
 in aquatic environments. We employ comparative methods in the Amphibia to
 investigate this problem. We demonstrate that the slope of species-mean
 egg diameter over habitat temperature is negative for species with aquatic
 larvae, and the decline in egg size is similar whether eggs are laid
 terrestrially or aquatically. Further, the slope of egg diameter over
 temperature is more negative for species with aquatic larvae compared to
 species that feature terrestrial eggs and no larvae. Finally, we show that
 egg size declines with temperature more strongly for species whose larvae
 cannot breathe aerially prior to metamorphosis, compared to those that
 can. Our results suggest that oxygen transport in larvae, not eggs,
 constrains investment per offspring in aquatic systems. This study also
 helps reconcile conflicting reports that undermined the generality of
 temperature-dependent oxygen limitation as a mechanism driving the
 temperature-size rule in aquatic systems.
description: Njal.Rollinson.EggSize.Amphibians.DryadData on life-history traits, environmental temperature with each species geographic range, and range size for 718 species of amphibians.Dryad.US.Climate.DataMean maximum monthly temperatures (degrees C) for 7493 cities in the USA. Simulations in table A1 of the main text randomly selected 1000 of these cities as the basis for simulation. Data are provided in case readers wish to randomly select different cities for simulation.Dryad.Monthly.Temperature.SimulationR code to exactly replicate the simulation in Table A1 of the main text.
DOI: 10.5061/dryad.54qt7
title: Data from: Health assessment of French university students and risk factors associated with mental health disorders

description: Objective: The first year of university is a particularly stressful period
 and can impact academic performance and students’ health. The aim of this
 study was to evaluate the health and lifestyle of undergraduates and
 assess risk factors associated with psychiatric symptoms. Materials and
 methods: Between September 2012 and June 2013, we included all
 undergraduate students who underwent compulsory a medical visit at the
 university medical service in Nice (France) during which they were
 screened for potential diseases during a diagnostic interview. Data were
 collected prospectively in the CALCIUM database (Consultations Assistés
 par Logiciel pour les Centres Inter-Universitaire de Médecine) and
 included information about the students’ lifestyle (living conditions,
 dietary behavior, physical activity, use of recreational drugs). The
 prevalence of psychiatric symptoms related to depression, anxiety and
 panic attacks was assessed and risk factors for these symptoms were
 analyzed using logistic regression. Results: A total of 4,184
 undergraduates were included. Prevalence for depression, anxiety and panic
 attacks were 12.6%, 7.6% and 1.0%, respectively. During the 30 days
 preceding the evaluation, 0.6% of the students regularly drank alcohol,
 6.3% were frequent-to-heavy tobacco smokers, and 10.0% smoked marijuana.
 Dealing with financial difficulties and having learning disabilities were
 associated with psychiatric symptoms. Students who were dissatisfied with
 their living conditions and those with poor dietary behavior were at risk
 of depression. Being a woman and living alone were associated with
 anxiety. Students who screened positively for any psychiatric disorder
 assessed were at a higher risk of having another psychiatric disorder
 concomitantly. Conclusion: The prevalence of psychiatric disorders in
 undergraduate students is low but the rate of students at risk of
 developing chronic disease is far from being negligible. Understanding
 predictors for these symptoms may improve students’ health by implementing
 targeted prevention campaigns. Further research in other French
 universities is necessary to confirm our results.
description: database (well-being of
 students in Nice)database(well-being of students
 in Nice).xls
DOI: 10.5281/zenodo.18388926
title: Dataset for "Random matrix theory universality of  current operators in  spin-S Heisenberg chains"

description: The data used to produce the figures in the paper “Random matrix theory universality of  current operators in  spin-S Heisenberg chains” are provided, together with Python scripts for generating the figures.
DOI: 10.5281/zenodo.18388927
title: Dataset for "Random matrix theory universality of  current operators in  spin-S Heisenberg chains"

description: The data used to produce the figures in the paper “Random matrix theory universality of  current operators in  spin-S Heisenberg chains” are provided, together with Python scripts for generating the figures.
DOI: 10.5061/dryad.vk42h
title: Data from: The dynamics of Kelp Forests in the Northeast Pacific Ocean and the relationship with environmental drivers

description: 1.The dynamics of foundation species in ecosystems are key to the fate of
 many species. Kelp forests are foundation species in temperate ocean
 ecosystems and contribute to carbon storage, macronutrient dynamics,
 primary production, and biodiversity of myriad associated species.
 Downward trends in their abundance globally have been of concern. 2.We
 analyzed 26 years of aerial censuses (1989-2015) of 2 canopy kelp species
 in Washington State (USA) waters. We compared these modern censuses with
 censuses in 1911 and 1912 to determine the persistence of kelp cover over
 the past century. Using Auto-regressive Integrated Moving Average (ARIMA)
 models, we compared kelp dynamics with likely environmental drivers,
 including local environmental variables and ocean indices for this region.
 3.Kelp remains at historic levels in many areas, though some eastern
 populations in proximity to greater human populations are the exception to
 this pattern. Over the last 26 years, kelp abundance showed high spatial
 autocorrelation in western areas of Straits of Juan de Fuca, with more
 variable populations in the annual species and eastward toward Puget
 Sound. Both species covaried positively in their abundance throughout most
 of the study area, suggesting environmental factors rather than
 competition, drove their dynamics. The population dynamics of these kelp
 species showed that the abundance one year previous was an important
 predictor, and cyclic dynamics were not indicated using Auto-regressive
 Integrated Moving Average (ARIMA) models. Kelp abundance correlated
 inversely with the Pacific Decadal Oscillation and the Oceanic Nino Index,
 and positively with the North Pacific Gyre Oscillation, indicating that
 large-scale processes associated with colder seawater temperatures were
 associated with greater relative abundance of kelp. 4.Synthesis. Kelp beds
 in the northern California Current Large Marine Ecosystem have mostly
 remained persistent over the past century and over many km, but some areas
 may have decreased in abundance. The sensitivity of these populations to
 indices of ocean climate, our demonstration that a historic 93-year SST
 record (Race Rocks, Canada) showed a 0.72°C increase, and the
 classification of some areas as high variability-low abundance, suggest
 that the viability of these foundational species remain a concern into the
 future.
description: Pfister_JEcology2017_0424_dryadData for all figures and tables contained in the main body of the manuscript are included in 4 worksheets.The kelp species data as well as environmental data are included, on both yearly and monthly time scales. The interpretation of kelp bed area from Cameron (1915) is also included. Race Rocks sst data from Canada are also present.
DOI: 10.5061/dryad.d851q
title: Data from: Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation

description: Temporal autocorrelation in demographic processes is an important aspect
 of population dynamics, but a comprehensive examination of its effects on
 different life-history strategies is lacking. We use matrix populations
 models from 454 plant and animal populations to simulate stochastic
 population growth rates (log λs) under different temporal autocorrelations
 in demographic rates, using simulated and observed covariation among
 rates. We then test for differences in sensitivities, or changes, of log
 λs to changes in autocorrelation among two major axes of life-history
 strategies, obtained from phylogenetically-informed principal component
 analysis: the fast-slow and semelparous-iteroparous continua. Fast life
 histories exhibit highest sensitivities to simulated autocorrelation in
 demographic rates across reproductive strategies. Slow life histories are
 less sensitive to temporal autocorrelation, but their sensitivities
 increase among highly iteroparous species. We provide cross-taxonomic
 evidence that changes in the autocorrelation of environmental variation
 may affect a wide range of species, depending on complex interactions of
 life-history strategies.
description: phyloSpeciesAll species used in analysesSv1_PCASensitivities of the stochastic growth rate to temporal autocorrelation in vital rates - results of simulations simLambdaTAC.RSv1_PCA_varCovSensitivity of stochastic population growth rate to temporal autocorrelation in vital rates using observed vital-rate covariances in simulations - results from simLambdaTAC_VarCov.RmatsMeanRData containing average MPMs for 454 study speciesmatsVarCovRData including MPMs for 109 species with information on vital-rate correlations
DOI: 10.5061/dryad.5637n
title: Data from: Persistent differences between coastal and offshore kelp forest communities in a warming Gulf of Maine

description: Kelp forests provide important ecosystem services, yet coastal kelp
 communities are increasingly altered by anthropogenic impacts. Kelp
 forests in remote, offshore locations may provide an informative contrast
 due to reduced impacts from local stressors. We tested the hypothesis that
 shallow kelp assemblages (12-15 m depth) and associated fish and benthic
 communities in the coastal southwest Gulf of Maine (GOM) differed
 significantly from sites on Cashes Ledge, 145 km offshore by sampling five
 coastal and three offshore sites at 43.0 +/- 0.07° N latitude. Offshore
 sites on Cashes Ledge supported the greatest density (47.8 plants m-2) and
 standing crop biomass (5.5 kg m-2 fresh weight) of the foundation species
 Saccharina latissima kelp at this depth in the Western North Atlantic.
 Offshore densities of S. latissima were over 150 times greater than at
 coastal sites, with similar but lower magnitude trends for congeneric S.
 digitata. Despite these differences, S. latissima underwent a significant
 36.2% decrease between 1987 and 2015 on Cashes Ledge, concurrent with a
 rapid warming of the GOM and invasion by the kelp-encrusting bryozoan
 Membranipora membranacea. In contrast to kelp, the invasive red alga
 Dasysiphonia japonica was significantly more abundant at coastal sites,
 suggesting light or dispersal limitation offshore. Spatial differences in
 fish abundance mirrored those of kelp, as the average biomass of all fish
 on Cashes Ledge was 305 times greater than at the coastal sites. Remote
 video censuses of cod (Gadus morhua), cunner (Tautaogolabrus adspersus),
 and pollock (Pollachius virens) corroborated these findings. Understory
 benthic communities also differed between regions, with greater abundance
 of sessile invertebrates offshore. Populations of kelp-consuming sea
 urchins Stronglyocentrotus droebachiensis were virtually absent from
 Cashes Ledge while small urchins were abundant onshore, suggesting
 recruitment limitation offshore. Despite widespread warming of the GOM
 since 1987, extraordinary spatial differences in the abundance of primary
 producers (kelp), consumers (cod) and benthic communities between coastal
 and offshore sites have persisted. The shallow kelp forest communities
 offshore on Cashes Ledge represent an oasis of unusually high kelp and
 fish abundance in the region, and as such, comprise a persistent abundance
 hotspot that is functionally significant for sustained biological
 productivity of offshore regions of the Gulf of Maine.
description: Zip file containing data
 files and R scriptThis zip file contains
 all data files and a R script for the production of all analyses and
 figures presented in Witman & Lamb 2017: "Persistent differences
 between coastal and offshore kelp forest communities in a warming Gulf of
 Maine"data.zip
DOI: 10.5281/zenodo.18388896
title: Performance Records and Genetic Evaluations in Spanish Horse Populations Competing in Olympic Disciplines
DOI: 10.5281/zenodo.18388895
title: Performance Records and Genetic Evaluations in Spanish Horse Populations Competing in Olympic Disciplines
DOI: 10.5061/dryad.s66p0
title: Data from: Insular biogeographic origins and high phylogenetic distinctiveness for a recently depleted lizard fauna from Christmas Island, Australia

description: Striking faunal turnover across Asia and Australasia, most famously along
 the eastern edge of the Sunda Shelf or ‘Wallace’s Line’, has been a focus
 of biogeographic research for over 150 years. Here we investigate the
 origins of a highly threatened endemic lizard fauna (4 species) on
 Christmas Island. Despite occurring less 350 km south of the Sunda Shelf,
 this fauna mostly comprises species from clades centred on the more
 distant regions of Wallacea, the Pacific and Australia (&gt; 1000 km
 east). The three most divergent lineages show Miocene (~23–5mya)
 divergences from sampled relatives; and have recently become extinct or
 extinct in the wild, likely due to the recent introduction of a south-east
 Asian snake (Lycodon capucinus). Insular distributions, deep phylogenetic
 divergence and recent decline, suggest that rather than dispersal ability
 or recent origins, environmental and biotic barriers have impeded these
 lineages from diversifying on the continental Sunda Shelf, and thereby,
 reinforced faunal differentiation across Wallace’s Line. Our new
 phylogenetically informed perspective further highlights the rapid loss of
 ancient lineages that has occurred on Christmas Island, and underlines how
 the evolutionary divergence and vulnerability of many island-associated
 lineages may continue to be underestimated.
description: Oliver 2017
 Supplementary fileAll supplementary
 methods, results, figures and tables of specimens
 includedCryptoblepharus
 AlignmentCryptoblepharus_ND2.txtCyrtodactylus ND2_RAG_PHOSEmoia_ND2Lepidodactylus_ND2_RAG_PHOSCrypt_strict_YuleXml file for running BEAST analyses on lizards of the genus CryptoblepharusCyrt.lgnm.BD.no3rdtRNAXml file for running BEAST analyses on lizards of the genus CrytodactylusCyrt.lgnm.Yule.3pXml file for running BEAST analyses on lizards of the genus CryptoblepharusEmoia_strict_YuleXml file for running BEAST analyses on lizards of the genus EmoiaEmoia_strict_YuleXml file for running BEAST analyses on lizards of the genus EmoiaLep.3g.6p.strict.BDXml file for running BEAST analyses on lizards of the genus Lepidodactylus, using a combined alignment of mitchondrial (ND2) and nuclear (RAG-1, Phosducin) data.Lep.nucgenes.3p.lgnm.BDXml file for running BEAST analyses on lizards of the genus Lepidodactylus, based on a nuclear gene only alignment (RAG-1 and Phosducin).
DOI: 10.17632/38t6twbnzf
title: BTC with financial and sentiment indexes

description: This dataset integrates Bitcoin market financial time-series data with sentiment indices derived from online sources, including Twitter, Telegram, Yahoo Finance, Investing.com, and Alternatives.me. The purpose of this integration is to enhance the prediction of Bitcoin price variability.
The data range is from 01/5/2022 until 12/31/2024
DOI: 10.17632/38t6twbnzf.2
title: BTC with financial and sentiment indexes

description: This dataset integrates Bitcoin market financial time-series data with sentiment indices derived from online sources, including Twitter, Telegram, Yahoo Finance, Investing.com, and Alternatives.me. The purpose of this integration is to enhance the prediction of Bitcoin price variability.
The data range is from 01/5/2022 until 12/31/2024
DOI: 10.5061/dryad.1kn03
title: Data from: No evidence for social immunity in co-founding queen associations

description: Ant queens often associate to found new colonies, yet the benefits of this
 behaviour remain unclear. A major hypothesis is that queens founding in
 groups are protected by social immunity and can better resist disease than
 solitary queens, due to mutual grooming, sharing of antimicrobials, or
 higher genetic diversity among their workers. We tested this hypothesis by
 manipulating the number of queens in incipient colonies of Lasius niger
 and measuring their resistance to the fungal entomopathogen Metarhizium
 brunneum. We found no evidence for social immunity in associations of
 founding queens. First, co-founding queens engaged in self-grooming, but
 performed very little allo-grooming or trophallaxis. Second, co-founding
 queens did not exhibit higher pathogen resistance than solitary queens,
 and their respective workers did not differ in disease resistance.
 Finally, queens founding in groups increased their investment in a
 component of individual immunity, as expected if they do not benefit from
 social immunity but respond to a higher risk of disease. Overall, our
 results provide no evidence that joint colony founding by L. niger queens
 increases their ability to resist fungal pathogens.
description: supporting data for all
 experimentsIncludes the raw data
 for behavioural observations, survival data and immune
 measures.supporting_data_Lasius_pleom.xlsx
DOI: 10.5061/dryad.dg31k
title: Data from: Measuring β‐diversity by remote sensing: a challenge for biodiversity monitoring

description: Biodiversity includes multiscalar and multitemporal structures and
 processes, with different levels of functional organization, from genetic
 to ecosystemic levels. One of the mostly used methods to infer bio-
 diversity is based on taxonomic approaches and community ecology theories.
 However, gathering extensive data in the field is difficult due to
 logistic problems, especially when aiming at modelling biodiversity
 changes in space and time, which assumes statistically sound sampling
 schemes. In this context, airborne or satellite remote sensing allow
 information to be gathered over wide areas in a reasonable time. Most of
 the biodiversity maps obtained from remote sensing have been based on the
 inference of species richness by regression analysis. On the contrary,
 estimating compositional turnover (β-diversity) might add crucial
 information related to relative abundance of dif- ferent species instead
 of just richness. Presently, few studies have addressed the measurement of
 species compositional turnover from space. Extending on previous work, in
 this manuscript we propose novel techniques to measure β-diversity from
 airborne or satellite remote sensing, mainly based on: i) multivariate
 statistical analysis, ii) the spectral species concept, iii)
 self-organizing feature maps, iv) multi- dimensional distance matrices,
 and the v) Rao’s Q diversity. Each of these measures addresses one or
 several issues related to turnover measurement. This manuscript is the
 first methodological example encompassing (and enhancing) most of the
 available methods for estimating β-diversity from remotely sensed imagery
 and potentially relating them to species diversity in the field.
description: Appendix_1_rao_calculationRao’s Q diversity - Appendix 1 provides an example spreadsheet to perform the calculation while the complete R code is stored in the GitHub repository: https://github.com/mattmar/spectralrao.Data Figure 6#######------- Data accessibility note for: Rocchini, D., Luque, S., Pettorelli, N., Bastin, L., Doktor, D., Faedi, N., Feilhauer, H., Féret, J.-B., Foody, G.M., Gavish, Y., Godinho, S., Kunin, W.E., Lausch, A., Leitao, P.J., Marcantonio, M., Neteler, M., Ricotta, C., Schmidtlein, S., Vihervaara, P., Wegmann, M., Nagendra, H. (2017). Measuring $\beta$-diversity by remote sensing: a challenge for biodiversity monitoring. Methods in Ecology and Evolution. [5years-IF: \IFmethodsecolevol] #---- Figure 6 (section 6. Rao's Q diversity) The image used to build Figure 6 is a Sentinel-2A L1C from 8 August 2016 (tile 29 SND) and has been downloaded from the ESA Sentinel Scientiﬁc Data Hub (https://scihub.copernicus.eu/). We added to the Dryad doi the NDVI input image and the resulting Shannon and RAO's Q indices.Data_Figure6.zip
DOI: 10.17632/jnys6pzypz
title: Fog computation offloading with learning automata

description: This is the simulation source code of a PhD thesis conducted in fog cloud.
DOI: 10.17632/jnys6pzypz.1
title: Fog computation offloading with learning automata

description: This is the simulation source code of a PhD thesis conducted in fog cloud.
DOI: 10.5061/dryad.dv322
title: Data from: Synchronous diversification of Sulawesi's iconic artiodactyls driven by recent geological events

description: The high degree of endemism on Sulawesi has previously been suggested to
 have vicariant origins, dating back 40 Myr ago. Recent studies, however,
 suggest that much of Sulawesi’s fauna assembled over the last 15 Myr.
 Here, we test the hypothesis that more recent uplift of previously
 submerged portions of land on Sulawesi promoted diversification, and that
 much of its faunal assemblage is much younger than the island itself. To
 do so, we combined palaeogeographical reconstructions with genetic and
 morphometric data sets derived from Sulawesi’s three largest mammals: the
 Babirusa, Anoa, and Sulawesi warty pig. Our results indicate that although
 these species most likely colonized the area that is now Sulawesi at
 different times (14 Myr ago to 2-3 Myr ago), they experienced an almost
 synchronous expansion from the central part of the island. Geological
 reconstructions indicate that this area was above sea level for most of
 the last 4 Myr, unlike most parts of the island. We conclude that
 emergence of land on Sulawesi (~1–2 Myr) may have allowed species to
 expand synchronously. Altogether, our results indicate that the
 establishment of the highly endemic faunal assemblage on Sulawesi was
 driven by geological events over the last few million years.
description: Anoa
 mtDNAFasta files containing
 Anoa mtDNA dataAnoa_cytb.fastaAnoa microsatelliteTSV files containing Anoa microsatellite dataAnoa_microsat.tsvBabirusa mtDNAFasta files containing Babirusa mtDNA dataBabirusa_dloop.fastaBabirusa microsatelliteTSV files containing Babirusa microsatellite dataBabirusa_microsat.tsvSWP mtDNAFasta files containing SWP mtDNA dataSus_dloop.fastaSWP microsatelliteTSV files containing SWP microsatellite dataSus_microsat.tsvCentroid size of lower second of Babirusa and SWPCentroid size for the lower M2BabSus-lowerM2-CS.NTSShape of lower second molar of Babirusa and SWPShape coordinates after superimposition for the lower M2BabSus-lowerM2-aligned.TPSSample list for second lower molar TPS and NTS filesBabSus-lowerM2-ind.csvShape of third second molar of Babirusa and SWPShape coordinates after superimposition for the lower M3BabSus-lowerM3-aligned.TPSCentroid size of lower third molar of Babirusa and SWPCentroid size for the lower M3BabSus-lowerM3-CS.NTSSample list for third lower molar TPS and NTS filesBabSus-lowerM3-CS-ind.csvTable S1Sample information for all three speciesTable_S1.xlsx