13 datasets found
  1. u

    Data from: Identifying Critical Life Stage Transitions for Biological...

    • agdatacommons.nal.usda.gov
    • datasetcatalog.nlm.nih.gov
    • +2more
    txt
    Updated Nov 21, 2025
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    Lindsey Milbrath; Adam S. Davis (2025). Data from: Identifying Critical Life Stage Transitions for Biological Control of Long-lived Perennial Vincetoxicum Species [Dataset]. http://doi.org/10.15482/USDA.ADC/1402049
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    txtAvailable download formats
    Dataset updated
    Nov 21, 2025
    Dataset provided by
    Ag Data Commons
    Authors
    Lindsey Milbrath; Adam S. Davis
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    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/

  2. d

    Data from: Data gaps and opportunities for comparative and conservation...

    • datadryad.org
    • datasetcatalog.nlm.nih.gov
    zip
    Updated Apr 24, 2019
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    Dalia A. Conde; Johanna Staerk; Fernando Colchero; Rita da Silva; Jonas Schöley; H. Maria Baden; Lionel Jouvet; John E. Fa; Hassan Syed; Eelke Jongejans; Shai Meiri; Jean-Michel Gaillard; Scott Chamberlain; Jonathan Wilcken; Owen R. Jones; Johan P. Dahlgren; Ulrich K. Steiner; Lucie M. Bland; Ivan Gomez-Mestre; Jean-Dominique Lebreton; Jaime González Vargas; Nate Flesness; Vladimir Canudas-Romo; Roberto Salguero-Gómez; Onnie Byers; Thomas Bjørneboe Berg; Alexander Scheuerlein; Sébastien Devillard; Dmitry S. Schigel; Oliver A. Ryder; Hugh P. Possingham; Annette Baudisch; James W. Vaupel (2019). Data gaps and opportunities for comparative and conservation biology [Dataset]. http://doi.org/10.5061/dryad.nq02fm3
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    zipAvailable download formats
    Dataset updated
    Apr 24, 2019
    Dataset provided by
    Dryad
    Authors
    Dalia A. Conde; Johanna Staerk; Fernando Colchero; Rita da Silva; Jonas Schöley; H. Maria Baden; Lionel Jouvet; John E. Fa; Hassan Syed; Eelke Jongejans; Shai Meiri; Jean-Michel Gaillard; Scott Chamberlain; Jonathan Wilcken; Owen R. Jones; Johan P. Dahlgren; Ulrich K. Steiner; Lucie M. Bland; Ivan Gomez-Mestre; Jean-Dominique Lebreton; Jaime González Vargas; Nate Flesness; Vladimir Canudas-Romo; Roberto Salguero-Gómez; Onnie Byers; Thomas Bjørneboe Berg; Alexander Scheuerlein; Sébastien Devillard; Dmitry S. Schigel; Oliver A. Ryder; Hugh P. Possingham; Annette Baudisch; James W. Vaupel
    Time period covered
    Apr 4, 2019
    Area covered
    Global
    Description

    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...

  3. f

    Definitions of socio-demographic characteristics.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Oct 21, 2020
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    Hu, Dawei; Ma, Zhuanglin; Luo, Mingjie; Chien, Steven I-Jy; Zhao, Xue (2020). Definitions of socio-demographic characteristics. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000485228
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    Dataset updated
    Oct 21, 2020
    Authors
    Hu, Dawei; Ma, Zhuanglin; Luo, Mingjie; Chien, Steven I-Jy; Zhao, Xue
    Description

    Definitions of socio-demographic characteristics.

  4. Claims-based definitions of death.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 2, 2023
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    Nobuhiro Ooba; Soko Setoguchi; Takashi Ando; Tsugumichi Sato; Takuhiro Yamaguchi; Mayumi Mochizuki; Kiyoshi Kubota (2023). Claims-based definitions of death. [Dataset]. http://doi.org/10.1371/journal.pone.0066116.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Nobuhiro Ooba; Soko Setoguchi; Takashi Ando; Tsugumichi Sato; Takuhiro Yamaguchi; Mayumi Mochizuki; Kiyoshi Kubota
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abbreviation: CCI, charlson comorbidity index.

  5. f

    Demographic characteristics of the sample including means and standard...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jul 27, 2018
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    Upadhyay, Jessica; Baron-Cohen, Simon; Smith, Paula; Holt, Rosemary; Allison, Carrie; Chakrabarti, Bhismadev (2018). Demographic characteristics of the sample including means and standard deviations. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000608785
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    Dataset updated
    Jul 27, 2018
    Authors
    Upadhyay, Jessica; Baron-Cohen, Simon; Smith, Paula; Holt, Rosemary; Allison, Carrie; Chakrabarti, Bhismadev
    Description

    Demographic characteristics of the sample including means and standard deviations.

  6. f

    Means and standard deviations of demographic variables and alexithymia...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jun 1, 2015
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    Wiersma, Durk; Bruggeman, Richard; Aleman, André; van Rijn, Sophie; van der Meer, Lisette; Krabbendam, Lydia; Swart, Marte; van der Velde, Jorien; Wunderink, Lex (2015). Means and standard deviations of demographic variables and alexithymia scores per group and test statistics of group differences. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001895698
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    Dataset updated
    Jun 1, 2015
    Authors
    Wiersma, Durk; Bruggeman, Richard; Aleman, André; van Rijn, Sophie; van der Meer, Lisette; Krabbendam, Lydia; Swart, Marte; van der Velde, Jorien; Wunderink, Lex
    Description

    Means and standard deviations of demographic variables and alexithymia scores per group and test statistics of group differences.

  7. Demographic means (SD) for MMSE, CDR-SB, premorbid IQ and HADS scores, and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated May 31, 2023
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    Yen Ying Lim; Victor L. Villemagne; Simon M. Laws; David Ames; Robert H. Pietrzak; Kathryn A. Ellis; Karra Harrington; Pierrick Bourgeat; Ashley I. Bush; Ralph N. Martins; Colin L. Masters; Christopher C. Rowe; Paul Maruff (2023). Demographic means (SD) for MMSE, CDR-SB, premorbid IQ and HADS scores, and median years of education, for overall and each BDNF group at baseline assessment. [Dataset]. http://doi.org/10.1371/journal.pone.0086498.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yen Ying Lim; Victor L. Villemagne; Simon M. Laws; David Ames; Robert H. Pietrzak; Kathryn A. Ellis; Karra Harrington; Pierrick Bourgeat; Ashley I. Bush; Ralph N. Martins; Colin L. Masters; Christopher C. Rowe; Paul Maruff
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

  8. Means risk and relative risk of infection stratified by infection history...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Dan Yamin; Arieh Gavious; Eyal Solnik; Nadav Davidovitch; Ran D. Balicer; Alison P. Galvani; Joseph S. Pliskin (2023). Means risk and relative risk of infection stratified by infection history and age group over the years tested. [Dataset]. http://doi.org/10.1371/journal.pcbi.1003643.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dan Yamin; Arieh Gavious; Eyal Solnik; Nadav Davidovitch; Ran D. Balicer; Alison P. Galvani; Joseph S. Pliskin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The annual minimum and maximum values observed in the years are presented in parentheses. The relative risk was calculated compared with individuals from the same HMO that sought medical treatment in the year prior. The adjusted relative risk included as members only individuals who were diagnosed as influenza patients at least once along the entire period evaluated (2003–2012 in Clalit dataset and 1998–2010 in Maccabi dataset).

  9. Supplement 1. Cheatgrass demographic data and the R code to perform...

    • wiley.figshare.com
    html
    Updated May 31, 2023
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    Aldo Compagnoni; Peter B. Adler (2023). Supplement 1. Cheatgrass demographic data and the R code to perform analyses. [Dataset]. http://doi.org/10.6084/m9.figshare.3563880.v1
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    htmlAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Wileyhttps://www.wiley.com/
    Authors
    Aldo Compagnoni; Peter B. Adler
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.
    
  10. Sensitivity, specificity and PPVs for claims-based Definition 3.3*.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
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    Nobuhiro Ooba; Soko Setoguchi; Takashi Ando; Tsugumichi Sato; Takuhiro Yamaguchi; Mayumi Mochizuki; Kiyoshi Kubota (2023). Sensitivity, specificity and PPVs for claims-based Definition 3.3*. [Dataset]. http://doi.org/10.1371/journal.pone.0066116.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Nobuhiro Ooba; Soko Setoguchi; Takashi Ando; Tsugumichi Sato; Takuhiro Yamaguchi; Mayumi Mochizuki; Kiyoshi Kubota
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  11. f

    Definition of symbols and corresponding values used in the model SEI2D.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 1, 2023
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    Danielle N. C. C. Costa; Cláudia T. Codeço; Moacyr A. Silva; Guilherme L. Werneck (2023). Definition of symbols and corresponding values used in the model SEI2D. [Dataset]. http://doi.org/10.1371/journal.pntd.0002355.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Danielle N. C. C. Costa; Cláudia T. Codeço; Moacyr A. Silva; Guilherme L. Werneck
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Definition of symbols and corresponding values used in the model SEI2D.

  12. Definitions, goals, and examples for each type of marine protected area...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 20, 2023
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    Kirsten Grorud-Colvert; Joachim Claudet; Brian N. Tissot; Jennifer E. Caselle; Mark H. Carr; Jon C. Day; Alan M. Friedlander; Sarah E. Lester; Thierry Lison de Loma; Daniel Malone; William J. Walsh (2023). Definitions, goals, and examples for each type of marine protected area (MPA) network. [Dataset]. http://doi.org/10.1371/journal.pone.0102298.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kirsten Grorud-Colvert; Joachim Claudet; Brian N. Tissot; Jennifer E. Caselle; Mark H. Carr; Jon C. Day; Alan M. Friedlander; Sarah E. Lester; Thierry Lison de Loma; Daniel Malone; William J. Walsh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Definitions, goals, and examples for each type of marine protected area (MPA) network.

  13. County-level study variables possibly associated with county-level...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Suzan L. Carmichael; Mark R. Cullen; Jonathan A. Mayo; Jeffrey B. Gould; Pooja Loftus; David K. Stevenson; Paul H. Wise; Gary M. Shaw (2023). County-level study variables possibly associated with county-level prevalence of preterm delivery: Definitions and weighted means and standard deviations.* [Dataset]. http://doi.org/10.1371/journal.pone.0094153.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Suzan L. Carmichael; Mark R. Cullen; Jonathan A. Mayo; Jeffrey B. Gould; Pooja Loftus; David K. Stevenson; Paul H. Wise; Gary M. Shaw
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *Each study variable was derived separately for blacks and whites and restricted to women when possible; means are for the 468 counties that had at least 20 preterm deliveries at 20–31 weeks gestation.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Lindsey Milbrath; Adam S. Davis (2025). Data from: Identifying Critical Life Stage Transitions for Biological Control of Long-lived Perennial Vincetoxicum Species [Dataset]. http://doi.org/10.15482/USDA.ADC/1402049

Data from: Identifying Critical Life Stage Transitions for Biological Control of Long-lived Perennial Vincetoxicum Species

Related Article
Explore at:
txtAvailable download formats
Dataset updated
Nov 21, 2025
Dataset provided by
Ag Data Commons
Authors
Lindsey Milbrath; Adam S. Davis
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Description

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/

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