cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.m35k6/83
title: ModelSel_VATH_2012_Occupancy

description: AIC model selection table and associated coefficients for varied thrush 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/84
title: ModelSel_VATH_2013_Occupancy

description: AIC model selection table and associated coefficients for varied thrush 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/85
title: ModelSel_WETA_2012_Occupancy

description: AIC model selection table and associated coefficients for western tanager 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/86
title: ModelSel_WETA_2013_Occupancy

description: AIC model selection table and associated coefficients for western tanager 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.n2d7d/1
title: Supplementary references

description: A text file in UTF-8 format that includes additional references not mentioned in the main text, but referred to in the supplementary data tables
DOI: 10.5061/dryad.n2d7d/2
title: Table1

description: An MS Excel file listing ambulacral patterns found in early echinoderm genera with five ambulacra.
DOI: 10.5061/dryad.n2d7d/3
title: Table2

description: An MS Excel table of ambulacral patterns found in early echinoderms with fewer than 5 ambulacra.
DOI: 10.5061/dryad.n2d7d/4
title: Table3

description: An MS Excel table listing ambulacral structures (arms, pinnules, brachioles) present in various early echinoderm groups.
DOI: 10.5061/dryad.n5v84/5
title: IMa2 commands
DOI: 10.5061/dryad.n5v84/6
title: Landscape Costs

description: Explanations for datafile "Landscape costs.xls"This datafile contains the classes of the landscape elements present in the "Transect" study area of the manuscript and their associated "cost values" for Mastomys natalensis. Landscape cover data was gathered from the Africover Spatially Aggregated Multipurpose Landcover database of Tanzania from the Food and Agriculture Organization of the UN (available at http://www.africover.org). Details on the land cover classification used can be found in Di Gregorio & Jansen (2000). These landscape elements were then translated into "landscape cost" values for Mastomys natalensis by 10 specialists, which indicates the ease of movement and the quality of the habitat for M. natelensis for that landscape element.This cost layer was then further used as a "habitat layer" in the software Circuitscape (see manuscript for details).
DOI: 10.5061/dryad.r3s16/10
title: pot trial

description: Data from pot trial on insect performance including controls accounting for direct effects of treatments on insects.
DOI: 10.5061/dryad.v8s83/10
title: ccsforSASxl

description: plot average mean c, fqi and weighted mean c and fqi
DOI: 10.5061/dryad.v8s83/11
title: all files from KOZIOL Journal of Ap Eco AMF composition in grassland succession

description: a zipped file of all files used in this study. It may contain files that were not used in the reported manuscript, or files that may have errors. Many files are data, many are code used to analyze or graph data.
DOI: 10.5061/dryad.v8s83/4
title: sas code for nurse plants
DOI: 10.5061/dryad.v8s83/5
title: megasheetforSAScorrectheadsmarch1516

description: this has the plot average richness among different categories, as well as the summed abundance among different categories
DOI: 10.5061/dryad.v8s83/6
title: calculatingnativediversity

description: r code used to calculate diversity
DOI: 10.5061/dryad.v8s83/7
title: weightsforDIVtrimmedwithone headerrow

description: weights of plants in each plot (proportional abundance within a plot) where b-t are desirable early succession plants, s-ax are desirabls late successional plants, ay-bn are early succesiosnal native weeds, and bo-ce are non-native plants. Any label with a NU means it was a nurse plant species.
DOI: 10.5061/dryad.v8s83/8
title: richness2015

description: number of plants in each catgory. these numbers were from the data collected on plant abundance
DOI: 10.5061/dryad.v8s83/9
title: richness2015weightstoGETLSMEANS

description: r code analyzing plant species richness
DOI: 10.17632/74h7c74k8j.1
title: Supplementary Files of the MSc Dissertation (Unicamp, Institute of Biology)_ver_12.10.2016

description: Supplementary Files of the MSc Dissertation (Unicamp, Institute of Biology, Brazil. Defense 26.07.2016) The data are the actual base of the implementation of my Master of Science project. The title of the dissertation is Novoselova, Natalia Sergeevna, 2016. Analysis of the effect of meteorological, superficial and anthropogenic conditions on the soaring activity of the Black vulture (Coragyps atratus, Cathartidae) by means of GIS and remote sensing and its implication for the reduction of bird strike risks”. Title of the dissertation in Portuguese: Análise do efeito das condições meteorológicas, superficiais e antropogênicas sobre atividade de voo do Urubu-de-cabeça-preta (Coragyps atratus, Cathartidae) por meio de SIG e sensoriamento remoto e suas implicações para a redução do risco de colisões com aeronaves. The dissertation was defend in 26 July 2016. The data consists from GIS database, remote sensing data and xlsx datasets, elaborated and used for the project implementation. The description of all files are given in the Supplementary file Description_12102016.xlsx file and in the text of the dissertation (the last section entitled as the “DESCRIPTION OF THE SUPPLEMENTARY FILES”). The full text of the dissertation will be soon published by the UNICAMP University in free access. For any question write me on email: natalieenov@gmail.com
DOI: 10.17632/ytsvxrjbkg.1
title: Datos para eocnomia china

description: Datos para la economia China
DOI: 10.5061/dryad.087b9/2
title: Climwin and female survival for Dryad

description: Output from climwin analysis and female survival data
DOI: 10.5061/dryad.0h2g0/1
title: VCF files of 3 datasets used in analyses

description: VCF files for all 3 datasets used for analysis, along with an xlsx file of individual ID #s and corresponding metadata, and a README file with a description of each dataset.
DOI: 10.5061/dryad.0k90t/1
title: Transcriptome profiles in mouse liver

description: C57BL/6J mice were administered with corn oil, TCPOBOP, PCN at 3-day-old age, the livers were collected after 24 hours or at 60-day-old age.  This excel data sheet contains 18 columns. Three biological replicates for each treatment. The row contains all the transcripts.
DOI: 10.5061/dryad.1787f/1
title: Cell counts and calculations

description: Microsoft Excel file containing 5 worksheets.  Contains raw data (counts of new choanocytes labeled with EdU and counts of all choanocytes in a choanocyte chamber; counts of cells from the mesohyl), calculations of cell kinetics using the one-population steady state model (Nowakowski et al. 1989), and data and calculations used to create Figures 3, 4, and supporting tables 2, 3 and 4.
DOI: 10.5061/dryad.18bv9/1
title: Figure 1a JG

description: Data for Figure 1
DOI: 10.5061/dryad.1nr07/10
title: 71_EEG_data

description: EEG data for participant 71.
DOI: 10.5061/dryad.1nr07/11
title: 73_EEG_data

description: EEG data for participant 73.
DOI: 10.5061/dryad.1nr07/3
title: 17_EEG_data

description: EEG data for participant 17.
DOI: 10.5061/dryad.1nr07/4
title: 26_EEG_data

description: EEG data for participant 26.
DOI: 10.5061/dryad.1nr07/5
title: 32_EEG_data

description: EEG data for participant 32.
DOI: 10.5061/dryad.1nr07/6
title: 34_EEG_data

description: EEG data for participant 34.
DOI: 10.5061/dryad.1nr07/7
title: 35_EEG_data

description: EEG data for participant 35.
DOI: 10.5061/dryad.1nr07/8
title: 36_EEG_data

description: EEG data for participant 36.
DOI: 10.5061/dryad.1nr07/9
title: 41_EEG_data

description: EEG data for participant 41.
DOI: 10.5061/dryad.2c220/10
title: stachyris.uce.mar19.cs

description: Pseudo-reference genome for Stachyris.
DOI: 10.5061/dryad.2c220/4
title: irena.uce.mar20.cs

description: Pseudo-reference genome for Irena.
DOI: 10.5061/dryad.2c220/5
title: niltava.bam.tar.gz

description: Bam and index files of Niltava reads mapped to pseudo-reference genome
DOI: 10.5061/dryad.2c220/6
title: niltava.uce.apr30.cs

description: Pseudo-reference genome for Niltava.
DOI: 10.5061/dryad.2c220/7
title: pycnonotus.bam.tar.gz

description: Bam and index files of Pycnonotus reads mapped to pseudo-reference genome
DOI: 10.5061/dryad.2c220/8
title: pyc.uce.may5.cs

description: Pseudo-reference genome for Pycnonotus.
DOI: 10.5061/dryad.2c220/9
title: stachyris.bam.tar.gz

description: Bam and index files of Stachyris reads mapped to pseudo-reference genome.
DOI: 10.5061/dryad.2r054/1
title: egg number stats code
DOI: 10.5061/dryad.2r054/2
title: Oman Egg data
DOI: 10.5061/dryad.2r054/3
title: Brazil Egg Data
DOI: 10.5061/dryad.2r054/4
title: survival data 1A
DOI: 10.5061/dryad.3nh72/1
title: Appendix S1

description: Data includes sample ID, location, Q value assignment scores from Structure, confidence intervals of assignment, and 12 autosomal microsatellite scores.
DOI: 10.5061/dryad.4g503/1
title: data of figure 1

description: Quantification of E. coli 536 in the feces in each mouse along the experiment
DOI: 10.5061/dryad.4g503/2
title: data of figure 4

description: The results of flux cytometry are presented in this table
DOI: 10.5061/dryad.4g503/3
title: data of figure 5

description: The data used to produce the box plots of the figure 5 are presented in this table
DOI: 10.5061/dryad.4g503/4
title: data of figure 6

description: The data used to produce the figure 6 are presented in this table
DOI: 10.5061/dryad.610md/10
title: Table.S5.pC.pI.pP.byGene.v2

description: Probability of correct (C),and incorrect (I) parsimony informative character patterns at select nodes in the diatom tree (Figure 1 in manuscript), Probability of non-parsimony informative character pattern or polytomy (P) at select nodes.  Probability of C minus I at select nodes. For each gene individually, for all 6 chloroplast genes concatenated and for all 7 genes (SSU plus chloroplast genes) concatenated.
DOI: 10.5061/dryad.610md/11
title: Table.S6.pC.pI.pP.byPosition

description: Probability of correct (C),and incorrect (I) parsimony informative character patterns at select nodes in the diatom tree (Figure 1 in manuscript), Probability of non-parsimony informative character pattern or polytomy (P) at select nodes.  Probability of C minus I at select nodes. For each of 5 selected partitions (SSU paired sites, SSU unpaired sites, all 1st codon positions aggregated, all 2nd codon positions aggregated, and all 3rd codon positions aggregated.)
DOI: 10.5061/dryad.610md/8
title: Table.S3.EntropyTest

description: Results of Entropy Analysis for substitutional saturation conducted in DAMBE5 on 7 gene diatom dataset submitted by Theriot et al.
DOI: 10.5061/dryad.610md/9
title: Table.S4.CDCSummary

description: Results of Codon Deviation Coefficient analysis conducted on protein encoding genes of diatoms.
DOI: 10.5061/dryad.66840/1
title: Unstructured meshes for interface advection tests

description: An important feature of our newly developed Volume-of-Fluid interface advection method, isoAdvector, is its ability to advect surfaces across unstructured meshes. This is demonstrated in the article with a number of simple standard test cases. The unstructured meshes used in these cases are provided here to allow readers to verify our results and to allow researchers to test other interface advection methods on these meshes. Using the exact same meshes makes it easier to compare the performance of different methods.
DOI: 10.5061/dryad.67f9c/1
title: Data & simulation code

description: The Data.zip file contains all data sets (seven-generations pedigrees and microsatellite genotypes) and the annotated source codes (R scripts) for linkage map construction and smoothing, finding the optimal interference distance and for the gene-dropping simulations. The attached README provides further information on each of the files.
DOI: 10.5061/dryad.bs515/1
title: Straub_et_al_Drone_Pesticide_Complete_Data

description: Complete data used within the study 'Neonicotinoid insecticides serve as inadvertent insect contraceptives'
DOI: 10.5061/dryad.ch56t/1
title: Phylogenetic data used for analyses
DOI: 10.5061/dryad.h7s57/1
title: Hadjistylli et al. 2016

description: Microsatellite data set (13 loci) from 839 female whifeflies from 50 worldwide collections
DOI: 10.5061/dryad.hp4b4/1
title: Totoaba_Genotypes

description: Totoaba genotypes from 16 microsatellite loci in 310 individuals. Data file is in Genepop format.
DOI: 10.5061/dryad.kn206/1
title: DL1

description: Illumina MiSeq data for control region fragment DL1
DOI: 10.5061/dryad.kn206/2
title: DL2_run1

description: Illumina MiSeq data for control region fragment DL2, first sequencing run
DOI: 10.5061/dryad.kn206/3
title: DL2_run2

description: Illumina MiSeq data for control region fragment DL2, second sequencing run
DOI: 10.5061/dryad.m35k6/87
title: ModelSel_WIWA_2012_Occupancy

description: AIC model selection table and associated coefficients for Wilson's warbler 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/88
title: ModelSel_BRCR_2012_Dynamic

description: AIC model selection table and associated coefficients for brown creeper 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/89
title: ModelSel_BRCR_2013_Dynamic

description: AIC model selection table and associated coefficients for brown creeper 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/90
title: ModelSel_CBCH_2012_Dynamic

description: AIC model selection table and associated coefficients for chestnut-backed chickadee 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/91
title: ModelSel_CBCH_2013_Dynamic

description: AIC model selection table and associated coefficients for chestnut-backed chickadee 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/92
title: ModelSel_GCKI_2012_Dynamic

description: AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/93
title: ModelSel_GCKI_2013_Dynamic

description: AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/94
title: ModelSel_HAFL_2012_Dynamic

description: AIC model selection table and associated coefficients for Hammond’s flycatcher 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m35k6/95
title: ModelSel_HAFL_2013_Dynamic

description: AIC model selection table and associated coefficients for Hammond’s flycatcher 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
DOI: 10.5061/dryad.m7ph3/1
title: The current status of the knowledge on avian breeding biology

description: Tables A1-3. The current status of the knowledge on avian breeding biology by different levels of taxonomy.
DOI: 10.5061/dryad.p9b21/1
title: data van Berlaer et al Refugee Camp Brussels
DOI: 10.5061/dryad.st6tn/1
title: Polychaeta_M

description: March sampling (2013)
DOI: 10.5061/dryad.st6tn/2
title: Polychaeta_S

description: September sampling (2013)
DOI: 10.5061/dryad.tb700/1
title: Bnip_cytB_140710_cut_name.fas

description: Alignment of haplotypes of cytb sequences
DOI: 10.5061/dryad.tb700/2
title: Bnip_CO1_2_140710_cut_name.fas

description: Alignment of haplotypes of cox1-cox2 sequences
DOI: 10.5061/dryad.tb700/3
title: t50

description: Alignment of SNPs from ddRAD-seq loci, read length: 50bp
DOI: 10.5061/dryad.tb700/4
title: t100

description: Alignment of SNPs from ddRAD-seq loci, read length: 100bp
DOI: 10.5061/dryad.0g843/1
title: crosses

description: Data from laboratory crossing experiments, organized by block
DOI: 10.5061/dryad.0g843/2
title: Mating

description: Data from mating experiments, formatted for jMating use