This dataset includes data on 25 transitions of a matrix demographic model of the invasive species Vincetoxicum nigrum (L.) Moench (black swallow-wort or black dog-strangling vine) and Vincetoxicum rossicum (Kleopow) Barb. (pale swallow-wort or dog-strangling vine) (Apocynaceae, subfamily Asclepiadoideae), two invasive perennial vines in the northeastern U.S.A. and southeastern Canada. The matrix model was developed for projecting population growth rates as a result of changes to lower-level vital rates from biological control although the model is generalizable to any control tactic. Transitions occurred among the five life stages of seeds, seedlings, vegetative juveniles (defined as being in at least their second season of growth), small flowering plants (having 1–2 stems), and large flowering plants (having 3 or more stems). Transition values were calculated using deterministic equations and data from 20 lower-level vital rates collected from 2009-2012 from two open field and two forest understory populations of V. rossicum (43°51’N, 76°17’W; 42°48'N, 76°40'W) and two open field populations of V. nigrum (41°46’N, 73°44’W; 41°18’N, 73°58’W) in New York State. Sites varied in plant densities, soil depth, and light levels (forest populations). Detailed descriptions of vital rate data collection may be found in: Milbrath et al. 2017. Northeastern Naturalist 24(1):37-53. Five replicate sets of transition data obtained from five separate spatial regions of a particular infestation were produced for each of the six populations. Note: Added new excel file of vital rate data on 12/7/2018. Resources in this dataset:Resource Title: Matrix model transition data for Vincetoxicum species. File Name: Matrix_model_transition_data.csvResource Description: This data set includes data on 25 transitions of a matrix demographic model of two invasive Vincetoxicum species from six field and forest populations in New York State.Resource Title: Variable definitions. File Name: Matrix_model_metadata.csvResource Description: Definitions of variables including equations for each transition and definitions of the lower-level vital rates in the equationsResource Title: Vital Rate definitions. File Name: Vital_Rate.csvResource Description: Vital Rate definitions of lower-level vital rates used in transition equations - to be substituted into the Data Dictionary for full definition of each transition equation.Resource Title: Data Dictionary. File Name: Matrix_Model_transition_data_DD.csvResource Description: See Vital Rate resource for definitions of lower-level vital rates used in transition equations where noted.Resource Title: Matrix model vital rate data for Vincetoxicum species. File Name: Matrix_model_vital rate_data.csvResource Description: This data set includes data on 20 lower-level vital rates used in the calculation of transitions of a matrix demographic model of two invasive Vincetoxicum species in New York State as well as definitions of the vital rates. (File added on 12/7/2018)Resource Software Recommended: Microsoft Excel,url: https://office.microsoft.com/excel/

Demographics (Mean±SD).

Biodiversity loss is a major challenge. Over the past century, the average rate of vertebrate extinction has been about 100-fold higher than the estimated background rate and population declines continue to increase globally. Birth and death rates determine the pace of population increase or decline, thus driving the expansion or extinction of a species. Design of species conservation policies hence depends on demographic data (e.g., for extinction risk assessments or estimation of harvesting quotas). However, an overview of the accessible data, even for better known taxa, is lacking. Here, we present the Demographic Species Knowledge Index, which classifies the available information for 32,144 (97%) of extant described mammals, birds, reptiles, and amphibians. We show that only 1.3% of the tetrapod species have comprehensive information on birth and death rates. We found no demographic measures, not even crude ones such as maximum life span or typical litter/clutch size, for 65% of thr...

Definitions of socio-demographic characteristics.

MWT-B: The Multiple-Choice Vocabulary Intelligence Test [Der Mehrfachwahl-Wortschatz-Intelligenztest, 26]; verbal intelligence screening asking participants to find existing German words among non-words in a multiple-choice task.

Abbreviation: CCI, charlson comorbidity index.

Means (SD) of demographic and clinical measures by group.

Note: One-Way ANOVA indicated no significant differences between Val/Val homozygotes and Met carriers on any demographic or clinical characteristic, p’s

HIV MLT refers to the model presented in this paper with three possible input combinations: 1) HIV prevalence with life expectancy at birth [input: ], 2) HIV prevalence with child mortality [input: ], or 3) HIV prevalence with child mortality and adult mortality [input: and ]. MAE for ‘All-ages’, , and expressed per 1,000 and the smallest number in each column is bolded. For HIV MLT model, ‘–’ indicates MAE 0.001 (or 0.01 for ).‘All-ages’ refers to the mean absolute error for the non-logged mortality rates across age groups (0, 1–4, 5–9, 10–14,…, 75) and amongst all life tables ().‘WHO’, ‘CD’, and ‘Log-Quad’ contain blank spaces as these quantities are inputs to these systems and thus have no error.

File List seedData.csv (MD5: 1046a13d7dc78e8de7ff15ed1569c743) es.csv (MD5: 83f92d3db02c919782c024c23f02476c) analyses.r (MD5: c2975e34a5540cf99e285a98d83bf817)

  Description
    This supplement provides the data and the R code to perform the analyses described in the methods section. The data is contained in seedData.csv and es.csv. The file seedData.csv contains data on seed production, es.csv contains data on emergence and survival. analyses.r is the code to perform analyses. For clarity, we divided the code in five sections: (1) models of seed production in unplanted quadrats; (2) create complete demographic data sets; (3) lambda models; (4) vital rates models; (6) LTRE analyses. In the first section, we use data from seedData.csv to create treatment specific means of seed production in unplanted quadrats. In the second section, we subtract these means to the seed production of planted quadrats. We use the resulting data set in sections three, four, and five to fit the mixed-effect models and to perform the LTRE analyses.
    Here we present the number, name and description of each column in the two data frames, seedData.csv and es.csv.


     Metadata seedData.csv

    1.Plot
    Definition: Number identifying each experimental plots.
    2. RemovalDefinition: A letter indicating whether the plot was subjected to vegetation removal ("R") or not ("N").
    3. WarmingDefinition: A letter indicating whether the plot was subjected to warming ("W") or not ("C").
    4. EcotypeDefinition: A word indicating whether the quadrat was planted with cheatgrass seeds collected at low ("low"), mid ("mid") or ("high") elevations. Moreover, every plot also contains a quadrat that has not been planted ("unplanted").
    5. SiteDefinition: A word indicating whether the plots are located at the low ("low"), mid ("mid") or ("high") elevation site.
    6. YearDefinition: A number indicating whether the data refers to seed collected in June 2010 or 2011.
    7. SeedsDefinition: A number reporting the estimated number of seeds produced in each quadrat.


     Metadata es.csv


   Numbers refer to the column number.
    1.PlotDefinition: Number identifying each experimental plots.
    2. RemovalDefinition: A letter indicating whether the plot was subjected to vegetation removal ("R") or not ("N").
    3. WarmingDefinition: A letter indicating whether the plot was subjected to warming ("W") or not ("C").
    4. EcotypeDefinition: A word indicating whether the quadrat was planted with cheatgrass seeds collected at low ("low"), mid ("mid") or ("high") elevations. Moreover, every plot also has a quadrat that has not been planted ("unplanted").
    5. SiteDefinition: A word indicating whether the plots are located at the low ("low"), mid ("mid") or ("high") elevation site.
    6. YearDefinition: A number indicating whether the data refers to the growing season 2009-2010 ("2010") or 2010-2011 ("2011").
    7. eDefinition: A number reporting the proportion of planted cheatgrass that emerged during the growing season.
    8. sDefinition: A number reporting the proportion of emerged cheatgrass that survived to seed set.

Clinical and demographic data of participants (data presented as mean ± SD).

Abbreviation: PPV, positive predictive value; 95%CI, 95% confidence interval; SSRI, selective serotonin reuptake inhibitor; NSAID, non-steroidal anti-inflammatory drug.*Definition 3.3 in Table 1.†The gold standard information.‡Definition yielded no false positive cases.¶SSRIs with or without other oral antidepressants.§Oral antidepressants except for SSRIs.

Demographic and polysomnographic parameters in the study group (mean ± SEM).

Phylogenetic generalized least squares analyses of the bivariate relationships between the type of genetic sex-determination system, population demographic traits, and adult sex ratio in tetrapods. (A) Difference between XY and ZW species in demographic traits. (B) Associations between demographic traits (predictors) and the adult sex ratio (ASR, response variable). Note that the continuous variables were standardized to 0 mean and 1 SD, so the model coefficients (b) are comparable across predictors. In each model, λ is the phylogenetic signal (Pagel’s lambda), R2 is the proportion of variance explained by the model, n is the number of species (number of XY species and ZW species, respectively, presented in parentheses). Statistically significant (i.e., p 

Demographic data of Dataset 2 (real VF series from clinics).

Demographic data of Dataset 1 (test–retest variability dataset for simulated VF series).

A description of the second-order expansion for mean density.

Participant mean demographic and fitness data (SD) by aerobic fitness group.

Demographics and baseline characteristics (mean±SD).

Demographic characteristics of the sample including means and standard deviations.