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Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management
负责人:
关键词:
invasives;conservation;prioritisation;Population Ecology;modelling;Holocene;Felis catus
DOI:
doi:10.5061/dryad.q202d
摘要:
on management problems, and allows easy generation, modification and analysis of management scenarios. It is a useful tool for the planning, evaluation and optimisation
Data from: Combining optimization and simulation modelling to measure the cumulative impacts of prescribed fire and wildfire on vegetati
负责人:
关键词:
biodiversity conservation;species diversity;Fire mosaics;Matthew Chick;prescribed fire;Simulation modelling;fire;Management objective
DOI:
doi:10.5061/dryad.6s2b0p9
摘要:
1. Growth-stage optimisation (GSO) offers a new approach to biodiversity conservation in fire-prone regions through estimati
Data from: Flow cytometric methods for indirect analysis and quantification of gametogenesis in Chlamydomonas reinhardtii (Chlorophyceae)
负责人:
关键词:
Flow cytometry;Gametogenesis;Chlamydomonas reinhardtii;Evolutionary Biology;Phycology
DOI:
doi:10.5061/dryad.57j1t
摘要:
are valuable in such high throughput comparative approaches when investigating optimisation or quantification of gametogenesis based on scatter
Data from: A toolkit for optimizing fish passage barrier mitigation actions
负责人:
关键词:
stream-road crossings;barrier mitigation;river connectivity restoration;rapid barrier assessment;optimisation;mixed integer linear programming;optimization;regression;mixed integer linear programing;Dams;fish passage barriers
DOI:
doi:10.5061/dryad.46vf8
摘要:
assessment methodology with state-of-the-art optimization modelling to cost-effectively plan fish passage barrier mitigation actions. The modelling approach can help
Data from: Deep learning for bridge load capacity estimation in post-disaster and -conflict zones
负责人:
关键词:
Bridges;Load Rating;Design Load;convolutional neural networks;Deep learning
DOI:
doi:10.5061/dryad.6br51tn
摘要:
on the prediction accuracy, precision, recall and F1 score. Finally, practical optimisation is performed by converting multiclass classification into binary classificati
Data from: How to best threshold and validate stacked species assemblages? Community optimisation might hold the answer
负责人:
关键词:
Primula acaulis;Zygaena filipendulae;Anthriscus sylvestris;Bromus benekenii;Stachys sylvatica;Neottia nidus avis;Aphantopus hyperantus;grasshoppers;Ligusticum mutellina;Phyteuma spicatum;Ranunculus aconitifolius;Geranium sylvaticum;Colias crocea;Glechoma hederacea;Polyommatus Lysandra coridon;Cephalanthera rubra;Polygala chamaebuxus;Calamagrostis varia;Ajuga reptans;insects;Viola hirta;Erynnis tages;Carduus personata;Holocene;Filipendula ulmaria;Lamium purpureum;Euthystira brachyptera;Eupatorium cannabinum;Asplenium trichomanes;Melitaea Mellicta athalia;Dryopteris oreades;Homogyne alpina;Viburnum opulus;Omocestus viridulus;Tettigonia cantans;Cystopteris fragilis;Galium odoratum;Viola reichenbachiana;Sorbus aucuparia;Aconitum napellus aggr;Galeopsis tetrahit;Rhododendron ferrugineum;Sanicula europaea;Carlina simplex;Prunus avium;Ribes alpinum;Thymelicus sylvestris;Vincetoxicum hirundinaria;Pulmonaria officinalis;Sambucus nigra;Cotoneaster tomentosus;Pyrgus serratulae;Populus tremula;Crepis pyrenaica;Tofieldia calyculata;Pieris rapae;Salix caprea;Sambucus racemosa;Caltha palustris;Pteridium aquilinum;Festuca heterophylla;Campanula rotundifolia;Ribes petraeum;Valeriana montana;Acer platanoides;Amelanchier embergeri;Melica nutans;Salvia glutinosa;Lasiommata petropolitana;Polystichum lonchitis;Papilio machaon;Phyllitis scolopendrium;Carex ornithopoda;Chorthippus dorsatus;Lathyrus vernus;Carex pallescens;Lonicera alpigena;Geum rivale;Festuca altissima;Soldanella alpina;Carex flacca;Argynnis aglaja;Geum urbanum;Callophrys rubi;Polyommatus icarus;Arum maculatum;Cotoneaster integerrimus;Convallaria majalis;Petasites albus;Sorbus mougeotii;Ranunculus lanuginosus;Colias phicomone;Clematis vitalba;Coronilla vaginalis;Pulsatilla alpina;Juniperus nana;Aricia artaxerxes;Species distribution models;Carduus defloratus;Centaurea montana;Prunella grandiflora;Colias alfacariensis hyale;Erebia ligea;Saxifraga cuneifolia;Viola biflora;Erebia epiphron;Leucanthemum vulgare aggr;Erebia gorge;Viburnum lantana;Fagus sylvatica;Urtica dioica aggr;Vaccinium myrtillus;Aruncus dioicus;Lonicera nigra;Arnica montana;Pholidoptera griseoaptera;Erebia aethiops;Erebia euryale;Metrioptera roeselii;Polyommatus lysandra bellargus;Vanessa cynthia cardui;Alnus incana;Aconitum paniculatum;Brachypodium pinnatum;Veratrum lobelianum;Lotus corniculatus;Astrantia minor;Phegopteris connectilis;Oreopteris limbosperma;Gomphocerus sibiricus;Galium rotundifolium;Melittis melissophyllum;Argynnis niobe;Aposeris foetida;Adenostyles glabra;Carpinus betulus;Potentilla erecta;Senecio ovatus;Cephalanthera longifolia;Fragaria vesca;Lamium montanum;Stachys officinalis;Gymnocarpium robertianum;Rhamnus cathartica;Anemone nemorosa;Cicerbita alpina;Berberis vulgaris;Podisma pedestris;Gymnocarpium dryopteris;Coenonympha gardetta;Acer pseudoplatanus;Polyommatus Cyaniris semiargus;Platanthera bifolia;Boloria pales;Stenobothrus lineatus;Carex montana;Veronica chamaedrys;Prunus spinosa;Epilobium angustifolium;Agrostis capillaris;Chorthippus brunneus;Ranunculus auricomus aggr;Mercurialis perennis;Gymnadenia conopsea aggr;Phyteuma orbiculare;Chorthippus biguttulus;Euphorbia dulcis;Peucedanum ostruthium;Polypodium vulgare;Rumex alpestris;Globularia nudicaulis;Coenonympha pamphilus;Dactylorhiza maculata;Zygaena transalpina;Lycaena hippothoe;Erica carnea;Luzula sylvatica;Betula pendula;Erebia pronoe;Melampyrum sylvaticum;Abies alba;Cupido minimus;Zygaena exulans;Arabis hirsuta;Rubus caesius;Sesleria caerulea;Tilia platyphyllos;Melitaea diamina;Ulmus glabra;Hieracium prenanthoides;Saxifraga rotundifolia;Asplenium fontanum;Maniola jurtina;Arabis turrita;Equisetum arvense;Mycelis muralis;Stellaria nemorum;Boloria clossiana euphrosyne;Polyommatus agrodiaetus damon;Digitalis lutea;Galium pumilum;Anthropocene;Boloria clossiana euphrosyne;Boloria clossiana titania;Decticus verrucivorus;Erebia melampus;Laserpitium latifolium;Erebia oeme;Polysarcus denticauda;Vanessa cynthia cardui;Carex digitata;Allium ursinum;Gryllus campestris;Castanea sativa;Sorbus aria;Hesperia comma;Saxifraga paniculata;Circaea lutetiana;Hypericum maculatum;Ranunculus platanifolius;Myosotis sylvatica;Moehringia muscosa;Acer campestre;Aconitum lycoctonum aggr;Prunella vulgaris;Carex alba;Hippocrepis emerus;Boloria napaea;Valeriana tripteris;Solanum dulcamara;Boloria clossiana titania;Lycaena tityrus;Listera ovata;Trifolium pratense;Hedera helix;Prenanthes purpurea;Crepis paludosa;Campanula cochleariifolia;Actaea spicata;Leptidea reali sinapis;Taraxacum officinale;community models;Carex ferruginea;Juglans regia;Dryopteris carthusiana;Poa nemoralis;Hieracium vogesiacum;Lonicera xylosteum;Larix decidua;Fraxinus excelsior;Cardamine heptaphylla;Potentilla sterilis;Gentiana lutea;Rosa arvensis;Aquilegia vulgaris;Anthriscus nitida;Impatiens noli tangere;Veronica urticifolia;Pinus uncinata;Aster bellidiastrum;Rubus saxatilis;Acer opalus;Achillea macrophylla;Maculinea arion;Zygaena lonicerae;Orchis mascula;Elymus caninus;Cornus mas;Polygonum viviparum;Aricia eumedon;Rosa corymbifera;Lunaria rediviva;Pinus sylvestris aggr;Sorbus chamaemespilus;Campanula rhomboidalis;Helleborus foetidus;Athyrium filix femina;Pyrgus alveus;Tilia cordata;Luzula nivea;Erebia tyndarus;Chrysosplenium alternifolium;Veronica officinalis;Aporia crataegi;Galium mollugo;Picea abies;Valeriana dioica;Aglais urticae;Silene dioica;Polyommatus Lysandra coridon;Quercus robur;Aegopodium podagraria;Lathyrus pratensis;Rhamnus alpina;Hordelymus europaeus;Stachys alpina;Euphorbia amygdaloides;Geranium sanguineum;Adoxa moschatellina;Epilobium alpestre;Teucrium chamaedrys;Alnus viridis;Heracleum sphondylium aggr;Gomphocerippus rufus;Thesium alpinum;Angelica sylvestris;Paris quadrifolia;Pimpinella major aggr;Scabiosa columbaria;Cardamine pentaphyllos;Trollius europaeus;Carex sylvatica;Hepatica nobilis;Hypericum montanum;Lysimachia nemorum;Deschampsia cespitosa;Myrrhis odorata;butterflies;S-SDM;Juniperus communis;Lilium martagon;Polygonum bistorta;Asplenium viride;Cephalanthera damasonium;Oxalis acetosella;Cardamine impatiens;Anthocharis cardamines;Quercus petraea;Anthericum ramosum;Erebia pandrose;Astrantia major;Vaccinium vitis idaea aggr;Myosotis scorpioides;Pyrgus malvae;Colchicum autumnale;Erebia manto;Knautia dipsacifolia;Euphorbia cyparissias;Rubus idaeus;Mecostethus parapleurus;Polyommatus agrodiaetus damon;Polyommatus eros;Ligustrum vulgare;Polystichum aculeatum;Galium aparine;Pieris bryoniae;Lycopodium annotinum;Polygonatum odoratum;Milium effusum;Primula elatior;Orthilia secunda;Origanum vulgare;Campanula barbata;Cirsium oleraceum;Ilex aquifolium;Thymus pulegioides;Epilobium montanum;Daphne mezereum;Ochlodes venatus;Vicia sepium aggr;Tamus communis;Polyommatus lysandra bellargus;Campanula trachelium;Polygonatum verticillatum;Melitaea Mellicta athalia;Epipactis atrorubens;Equisetum sylvaticum;Holocene\/Anthropocene;Dactylis glomerata;Tussilago farfara;Polyommatus Cyaniris semiargus;species richness modelling;Euonymus europaeus;Listera cordata;Petasites hybridus;Erebia pharte;Luzula luzulina;Euphydryas aurinia;Stauroderus scalaris;Lasiommata maera;Rosa pendulina;Pieris napi;Gentiana purpurea;Laburnum alpinum;Salix appendiculata;Polygonatum multiflorum;Vicia sylvatica;Vanessa atalanta;Daphne laureola;Briza media;Clinopodium vulgare;Lonicera caerulea;Luzula pilosa;Thymelicus lineola;Cornus sanguinea;Nardus stricta;Melanargia galathea;Chorthippus parallelus;Metrioptera saussuriana;Carex humilis;Aquilegia atrata;Pieris brassicae;Dryopteris dilatata;Dryopteris filix mas;Taxus baccata;Thalictrum aquilegiifolium;Corylus avellana;Melica uniflora;Maianthemum bifolium;vegetation plots;Malus sylvestris;Scrophularia nodosa;Adenostyles alliariae;Epipactis helleborine;Gentiana asclepiadea;Blechnum spicant;Miramella alpina;Streptopus amplexifolius
DOI:
doi:10.5061/dryad.nf925ps
摘要:
. If evaluated with independent data or reliable cross?validation, community?based thresholding seems superior compared to single species optimisation. However, ma
Data from: Automated reconstruction of three-dimensional fish motion, forces, and torques
负责人:
关键词:
Danio rerio;inverse dynamics;swimming kinematics;automated tracking
DOI:
doi:10.5061/dryad.5d972
摘要:
method that automatically tracks a swimming fish in three dimensions from multi-camera high-speed video. We use an optimisation procedure to fit
Data from: Muscle contributions to the acceleration of the whole body centre of mass during recovery from forward loss of balance by stepping
负责人:
关键词:
DOI:
doi:10.5061/dryad.vq700
摘要:
kinematics and joint moments from motion capture and force plate data. Forces for 92 muscle actuators were computed using Static Optimisation and Induced

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