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Data from: Real-time quantification of damage in structural materials during mechanical testing
负责人:
关键词:
Damage assessment;orthogonal decomposition;Real-time monitoring;Composite materials;Digital image correlation
DOI:
doi:10.5061/dryad.3s4474q
摘要:
e effective indicator that the specimen has reached its proportional limit than using load-extension diagrams. The technique also introduces a new appro
Data from: Input matters matter: bioclimatic consistency to map more reliable species distribution models
负责人:
关键词:
bioclimatic consistency;bioclimatic congruence;current
DOI:
doi:10.5061/dryad.6kv7k29
摘要:
databases, which can be achieved with the bioclimatic consistency maps that we propose in this study. Here, i) we present the first global-scale bioclima
Data from: Avian demographic responses to drought and fire: a community-level perspective
负责人:
Saracco, James
关键词:
Avian demography capture-recapture drought fire hierarchical model MAPS program mist-netting productivity survival vital rates
DOI:
doi:10.5061/dryad.09j26sv
摘要:
climate change. We suggest that the use and continued development of community-level demographic models will provide useful tool for leveraging sparse species-level
Data from: Modelling the area of occupancy of habitat types with remote sensing
负责人:
关键词:
Predictive Modelling;Conservation Status;biodiversity;Natura 2000
DOI:
doi:10.5061/dryad.p72k5
摘要:
. In the absence of fine-resolution maps, predictive modelling helps in assessing the spatial distribution of vegetation cover. However, such approaches are sti
Data from: Causal reasoning in rats' behaviour systems
负责人:
关键词:
Bayesian networks;Rattus norvegicus;cognitive modelling;causal reasoning;behaviour systems;Causal Model Theory
DOI:
doi:10.5061/dryad.20h4r
摘要:
capacity among rats involving mental maps of causal relations. Critics have rejoined that response competition can explain these effects
Data from: Adaptive limitations of white spruce populations to drought imply vulnerability to climate change in its western range
负责人:
关键词:
Boreal forest;drought resilience;Picea glauca;provenance trials;Picea glauca (Moench) Voss;Dendroecology;Ecological Genetics;1983-2016;Holocene;climate change
DOI:
doi:10.5061/dryad.n42p4k7
摘要:
sites as part of ongoing reforestation programs. This is meant to match locally adapted populations with anticipated environments, but adaptive tra
Data from: The demographic history of Atlantic salmon (Salmo salar) across its distribution range reconstructed from approximate Bayesian computations
负责人:
关键词:
gene flow;phylogeography;heterogeneous divergence;Linked selection;Approximate Bayesian Computations;Salmo salar
DOI:
doi:10.5061/dryad.5726103
摘要:
m North America and Eurasia. By combining results from admixture graphs, geo-genetic maps and an Approximate Bayesian Computation (ABC) framework, we validated
Data from: Avian vulnerability to wind farm collision through the year: insights from lesser black-backed gulls (Larus fuscus) tracked from multiple
负责人:
关键词:
Renewable energy;Larus fuscus;GPS telemetry;bird;Collision risk;wind turbine;human-wildlife conflict;sensitivity;vulnerability
DOI:
doi:10.5061/dryad.q6bq8sm
摘要:
s of conflict for migratory populations throughout their annual cycle. This approach can aid the wind farm planning process by: (1) providing sensitivity maps
Data from: Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches
负责人:
关键词:
Trifolium medium;Anthriscus sylvestris;Pulsatilla alpina sl;environmental maps;Juncus effusus;Luzula alpinopilosa;Vaccinium gaultherioides;Scabiosa lucida;Saxifraga paniculata;Phyteuma spicatum;Ligusticum mutellina;Ranunculus aconitifolius;Achillea millefolium;Poa supina;Galium megalospermum;Geranium sylvaticum;Vaccinium vitis-idaea;Veronica arvensis;Heracleum sphondylium sl;Erigeron uniflorus;Leontodon helveticus;Bromus hordeaceus;Rumex acetosa;Polygala chamaebuxus;Pimpinella saxifraga aggr;Helictotrichon versicolor;Calamagrostis varia;Luzula multiflora;Pritzelago alpina sstr;Ajuga reptans;Trisetum flavescens;Viola hirta;Anthoxanthum odoratum aggr;Vicia sativa sl;Sedum atratum;Rhinanthus alectorolophus;Arrhenatherum elatius;Poa minor;Prunella vulgaris;Gentiana verna;Trifolium badium;Pedicularis foliosa;Stachys officinalis sl;Cirsium acaule;species distribution;Daucus carota;Salix herbacea;Plantago atrata sstr;Ranunculus acris sl;Knautia arvensis;Primula elatior sstr;Athamanta cretensis;Campanula cochleariifolia;Carduus defloratus sl;Plantago major sl;Homogyne alpina;Rumex crispus;Euphrasia hirtella;Botrychium lunaria;Lolium perenne;Ligusticum mutellinoides;Carex ferruginea;Rhinanthus minor;Saxifraga aizoides;Fraxinus excelsior;Potentilla sterilis;Ranunculus bulbosus;Gentiana lutea;Chaerophyllum hirsutum aggr;Crepis biennis;Cerastium latifolium;Androsace chamaejasme;Sagina saginoides;Selaginella selaginoides;Cerastium arvense sl;Aster bellidiastrum;Tragopogon pratensis sl;Gentiana acaulis;Gentiana nivalis;Thlaspi rotundifolium aggr;Polygonum viviparum;Tofieldia calyculata;Gentiana bavarica;Medicago lupulina;Crepis pyrenaica;Carex caryophyllea;Festuca quadriflora;Ranunculus alpestris;Euphrasia minima;Caltha palustris;Valeriana montana;Campanula rotundifolia;Hippocrepis comosa;Veronica serpyllifolia sl;Campanula rhomboidalis;Ranunculus montanus aggr;Carex ornithopoda;Bromus erectus sstr;Leontodon autumnalis;Helictotrichon pubescens;Poa alpina;Hedysarum hedysaroides;Carex pallescens;Plantago media;Veronica officinalis;Vicia sepium;Anemone narcissiflora;Geum rivale;Galium mollugo;Myosotis arvensis;Picea abies;Carex sempervirens;Thymus pulegioides sstr;Soldanella alpina;Carex flacca;Phleum pratense;Alchemilla xanthochlora aggr;Centaurea jacea sstr;Lathyrus pratensis;Trifolium pratense sl;Sanguisorba minor sl;Hypericum maculatum sl;Campanula scheuchzeri;Gypsophila repens;Thesium alpinum;Centaurea montana;Prunella grandiflora;Holcus lanatus;Trollius europaeus;Carex sylvatica;Primula veris sl;Luzula campestris;Festuca violacea aggr;Viola biflora;Leucanthemum vulgare aggr;Leontodon hispidus sl;Deschampsia cespitosa;Vaccinium myrtillus;Taraxacum officinale aggr;Pimpinella major;Equisetum palustre;Silene acaulis;Veronica persica;Polygonum bistorta;Arnica montana;Knautia dipsacifolia sstr;Poa cenisia;Vicia cracca sstr;Brachypodium pinnatum;Thlaspi repens;Euphrasia salisburgensis;Hypochaeris radicata;Astrantia major;Trifolium montanum;Polygala alpestris;Senecio doronicum;Colchicum autumnale;Acinos alpinus;Alchemilla coriacea aggr;Achillea atrata;Hieracium villosum aggr;Stellaria graminea;Trifolium repens sstr;Cruciata laevipes;Aposeris foetida;Viola calcarata;Adenostyles glabra;Lotus corniculatus aggr;Potentilla erecta;Euphorbia cyparissias;Gentiana clusii;Fragaria vesca;Gentiana campestris sstr;Bellis perennis;Phleum rhaeticum;Festuca rubra aggr;Dryas octopetala;Festuca pratensis sl;Carlina acaulis subsp caulescens;Cardamine pratensis;Saxifraga oppositifolia;Linum catharticum;Carex atrata aggr;Agrostis schraderiana;Campanula barbata;Solidago virgaurea sl;Cirsium oleraceum;Acer pseudoplatanus;Polygala vulgaris sl;Cirsium palustre;Carex montana;Alchemilla vulgaris aggr;Veronica chamaedrys;Gymnadenia conopsea;Silene vulgaris sl;Veratrum album subsp lobelianum;Poa pratensis;Arabis alpina sl;Agrostis capillaris;Holocene\/Anthropocene;Dactylis glomerata;Tussilago farfara;species richness modelling;Centaurea scabiosa sl;Festuca ovina aggr;Phyteuma orbiculare;Carex nigra;Geum montanum;Rumex alpestris;Globularia nudicaulis;Doronicum grandiflorum;Myosotis alpestris;Phleum hirsutum;Agrostis rupestris;Hieracium murorum aggr;Ranunculus repens;Crocus albiflorus;Hieracium bifidum aggr;Hieracium lactucella;Luzula sylvatica;Cirsium spinosissimum;Species distribution modelling;Glechoma hederacea sstr;Salix retusa;Gentiana purpurea;Poa trivialis sl;Agrostis alpina;Plantago alpina;Sesleria caerulea;Dactylorhiza fuchsii;Parnassia palustris;Globularia cordifolia;Linaria alpina sstr;Trifolium thalii;Ranunculus nemorosus aggr;Alchemilla glabra aggr;global change;Pedicularis verticillata;Briza media;Clinopodium vulgare;Carex panicea;Cynosurus cristatus;Plantago lanceolata;Petasites paradoxus;Veronica alpina;Bartsia alpina;Potentilla crantzii;Nardus stricta;Saxifraga moschata sl;Galium album;Anthyllis vulneraria sl;Thymus praecox subsp polytrichus;Salix reticulata;Galium pumilum;vegetation plots;Agrostis stolonifera;Helianthemum nummularium sl;Taraxacum alpinum aggr;Carum carvi;Galium anisophyllon;Veronica aphylla;Potentilla aurea;Primula auricula;Crepis aurea;Cerastium fontanum sl;Alchemilla conjuncta aggr;Laserpitium latifolium
DOI:
doi:10.5061/dryad.28d4k
摘要:
along the elevational gradient. The S-SDM approach summing binary maps can predict individual species and thus communities, but tends to overpredict SR
The economy crunch: a multimedia website devoted to the economy and what we eat
负责人:
关键词:
Journalism (Online Journalism) Economy crunch economy food nutrition eating well eating budget eating budget eating on a budget
DOI:
doi:10.25549/usctheses-m2932
摘要:
tool, Google maps and information graphics.; The website is located at http://www.jennharris.net/economycrunch/. The homepage consists a story caro

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