cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7kw5d6d
title: Historic Simulation of Net Ecosystem Carbon Balance for the Great Dismal Swamp

description: Estimating ecosystem carbon (C) balance relative to natural disturbances and land management strengthens our understanding of the benefits and tradeoffs of carbon sequestration. We conducted a historic model simulation of net ecosystem C balance in the Great Dismal Swamp, VA. for the 30-year time period of 1985-2015. The historic simulation of annual carbon flux was calculated with the Land Use and Carbon Scenario Simulator (LUCAS) model. The LUCAS model utilizes a state-and-transition simulation model coupled with a carbon stock-flow accounting model to estimate net ecosystem C balance, and long term sequestration rates under various ecological conditions and management strategies. The historic model simulation uses age-structured forest growth curves for four forest species, C stock and flow rates for 8 pools and 14 fluxes, and known data for disturbance and management. The annualized results of C biomass are provided in this data release in the following categories: Growth, Heterotrophic Respiration (Rh), Net Ecosystem Production (NEP), Net Biome Production (NBP), Below-ground Biomass (BGB) Stock, Above-ground Biomass (AGB) Stock, AGB Carbon Loss from Fire, BGB Carbon Loss from Fire, Deadwood Carbon Loss from Management, and Total Carbon Loss. The table also includes the area (annually) of each forest type in hectares: Atlantic white cedar Area (hectares); Cypress-gum Area (hectares); Maple-gum Area (hectares); Pond pine Area (hectares). Net ecosystem production for the Great Dismal Swamp (~ 54,000 ha), from 1985 to 2015 was estimated to be a net sink of 0.97 Tg C. When the hurricane and six historic fire events were modeled, the Great Dismal Swamp became a net source of 0.89 Tg C. The cumulative above and belowground C loss estimated from the South One in 2008 and Lateral West fire in 2011 totaled 1.70 Tg C, while management activities removed an additional 0.01 Tg C. The C loss in below-ground biomass alone totaled 1.38 Tg C, with the balance (0.31 Tg C) coming from above-ground biomass and detritus. The LUCAS model is free and available to download (see source metadata) and can be used for multiple spatial and temporal scales. For detailed information about the methodology and input parameters, please refer to the journal article, Sleeter, R., Sleeter, B., Williams, B., Hogan, D., Hawbaker, T., Zhu Z., 2017, A Carbon Balance Model for the Great Dismal Swamp Ecosystem, Carbon Balance and Management xxxx.
DOI: 10.18739/a27672
title: Passive acoustic data from A4 in the Bering Strait for December 2014
DOI: 10.15468/pqllwv
title: Dutch Centre For Field Ornithology (SOVON) - Breeding Bird Atlas 1998-2000 - metadata

description: In 2002 the Second Atlas of Dutch Breeding birds was published. Fieldwork for the new atlas was carried out during the breeding seasons of 1998, 1999 and 2000, with some additional fieldwork in 2001 to tackle remaining gaps in coverage. A quantitative survey was added in order to allow a more detail-ed analysis of regional differences in abundance.
DOI: 10.18739/a23h3d
title: Passive acoustic data from A4 in the Bering Strait for January 2015
DOI: 10.5066/f7qj7fhd
title: Double-crested Cormorant Diet Composition from Two Colonies in Saginaw Bay, Lake Huron, 2013-2014

description: Stakeholders and fishery managers expressed concern that double-crested cormorant (Phalacrocorax auritus) predation may be a factor in the recent poor survival of sportfish in Saginaw Bay. To investigate this possibility, we quantified cormorant diets from two nesting colonies in Saginaw Bay during April-September in 2013 and 2014. Diet items were identified, enumerated, and measured. The data presented here are the result of the two year study.
DOI: 10.5066/f7qr4v85
title: Data and source code from "Estimating inbreeding rates in natural populations: addressing the problem of incomplete pedigrees"

description: We used Monte Carlo simulations to compare properties of the two estimators and determine their utility for empirical analyses. Simulations were performed using idealized populations that were tracked over 15 generations. Separate simulations were performed using generation sizes of 100 individuals (50 male and 50 females) or 20 individuals (10 males and 10 females). In each generation, parents for new individuals were chosen using a simple set of rules. Individuals in the first generation were created de novo with no parental information, and second generation progeny were created as offspring of first generation parents. Starting with the third generation, a parent for an individual was selected with equal probability from either of the previous two generations, thereby allowing for inbreeding to arise from intergenerational pairings (parent-offspring, uncle-niece, and aunt-nephew). Use of this strategy eliminated the possibility for grandparent-grandchild pairs to form, however, our results were nonetheless generalizable and easily interpreted. Inbreeding rates were controlled by introducing a parameter that specified the width of a spatial window that determined the number of potential male and female parents for each new individual created in each generation. The widest window size was determined by generation size, and could maximally be set to one half of the generation size (equal to the number of males or females) to allow for random selection of any male or female parent from an appropriate generation. When window sizes were less than the maximum window size, higher inbreeding rates were produced as a consequence of restricting the number of potential parents. Thus, observed inbreeding rates recorded for simulations were emergent properties of the simulation as opposed to pre-specified parameters.
DOI: 10.5066/f7bz647f
title: Water surface elevations recorded by submerged pressure transducers along the upper Willamette River, Oregon, Spring, 2015

description: Water-surface elevations were recorded by submerged pressure transducers in Spring, 2015 along the upper Willamette River, Oregon, between Eugene and Corvallis. The water-surface elevations were surveyed by using a real-time kinematic global positioning system (RTK-GPS) at each pressure sensor location. These water-surface elevations were logged over a small range of discharges, from 4,600 cubic feet per second to 10,800 cubic feet per second at Harrisburg, OR. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administrations (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple datasets that will be released for this effort.
DOI: 10.5066/f7j101bt
title: Data for comparison of climate envelope models developed using expert-selected variables versus statistical selection

description: Climate envelope models are increasingly used to characterize potential future distribution of species under climate change scenarios. It is acknowledged that the use of climate envelope models comes with both strengths and limitations, and that results are sensitive to modeling assumptions, inputs, and specific methods. The selection of predictor variables, an integral modeling step, is one factor that can affect the modeling outcome. The selection of climate predictors is frequently achieved using statistical methods that ascertain correlations between species occurrence and climate data; this approach has been critiqued because it depends on statistical properties of the data, and does not directly implement biological information about how species respond to temperature or precipitation. In this study, we compared models and prediction maps for 15 threatened or endangered species in Florida created using two variable selection techniques: expert opinion and a statistical method. We compared model performance for contemporary predictions, and also compared the spatial correlation, spatial overlap, and area predicted for contemporary and future climate predictions between these two approaches (Brandt et al. 2017). The data we used for this study include species occurrence data (n=15 species), climate data and predictions, an expert opinion questionnaire, and species masks that represented the model domain for each species. The species occurrence data, climate data, and climate predictions are freely available online, and therefore not included in this data release. The species occurrence data were obtained primarily from the online database Global Biodiversity Information Facility (GBIF; http://www.gbif.org/), and from scientific literature (Watling et al. 2011). Climate data were obtained from the WorldClim database (Hijmans et al. 2005) and climate predictions were obtained from the Center for Ocean-Atmosphere Prediction Studies (COAPS) at Florida State University (https://floridaclimateinstitute.org/resources/data-sets/regional-downscaling). For this data release, we include the results of the expert opinion questionnaire and the species model domains (or masks). We developed an expert opinion questionnaire to gather information regarding expert opinion regarding the importance of climate variables in determining a species geographic range. The species masks, or model domains, were defined separately for each species using a variation of the target-group approach (Phillips et al. 2009), where the domain was determine using convex polygons including occurrence data for at least three phylogenetically related and similar species (Watling et al. 2012).
DOI: 10.21223/p3/ta17vl
title: Replication data for: Sweetpotato butterfly, Acraea acerata (Hewitson 1874)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of Acraea acerata was studied in controlled incubator chambers at eight constant temperatures of 15°, 17.5º, 20°, 25°, 30°, 32°, 35°C and 40º on its host sweetpotato [Ipomoea batatas (L.) Lam.]. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Acraea acerata phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
DOI: 10.21239/v9jw2v
title: Datos Calidad de agua-Proyecto - ATENCIÓN A EVENTUALES EMERGENCIAS AMBIENTALES EN LA ZONA MARINO-COSTERA DEL DEPARTAMENTO DEL MAGDALENA
DOI: 10.18739/a2zq1g
title: Tunu, Greenland 2013 ice core chemistry
DOI: 10.21223/p3/8zghcm
title: Replication data for: Maize stalk borer, Busseola fusca (Fuller 1901)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of Busseola fusca was studied in controlled incubator chambers at eight constant temperatures from 15º to 30ºC on its host maize. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Busseola fusca phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
DOI: 10.21223/p3/amrsdi
title: Replication data for: Guatemalan potato tuber moth, Tecia solanivora (Povolny 1973)

description: The development, mortality of immature life stages, and reproduction of Tecia solanivora were studied at constant temperatures ranging from 9.9 to 29.9°C son its host potato (Solanum tuberosum L.). Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the P. operculella phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
DOI: 10.21223/p3/emktrh
title: Replication data for: Chrysocharis flacilla (Walker 1842)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of the potato tuber moth parasitoid Chrysocharis flacilla was studied in controlled incubator chambers at constant temperatures from 10º to 30ºC on its host Phthorimaea operculella. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Chrysocharis flacilla phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
DOI: 10.21223/p3/holmxt
title: Replication data for: Greenhouse whitefly, Trialeurodes vaporariorum (Westwood 1956)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of Trialeurodes vaporariorum was studied in controlled incubator chambers at eight constant temperatures from 10º to 32ºC on its host sweetpotato. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Trialeurodes vaporariorum phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
DOI: 10.21223/p3/i4zvvb
title: Replication data for: Vegetable leafminer, Liriomyza sativae (Blanchard 1938)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of L. sativae was studied in controlled incubator chambers at seven constant temperatures of 15°, 20°, 25°,and 30° on its host bean (Phaseolus vulgaris L.). Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator (Akaike 1973) or other built in statistics (R2, Adjusted R2, MSE). The development of the L. sativae phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/ (Sporleder et al. 2013, Tonnang et al. 2013).
DOI: 10.21223/p3/kgiuyu
title: Replication data for: Phaedrotoma scabriventris (Nixon 1955)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of the potato tuber moth parasitoid Phaedrotoma scabriventris was studied in controlled incubator chambers at constant temperatures from 10º to 30ºC on its host Phthorimaea operculella. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Phaedrotoma scabriventris phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
DOI: 10.21223/p3/qzipu4
title: Replication data for: Apanteles subandinus (Blanchard 1947)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of the potato tuber moth parasitoid Apanteles subandinus was studied in controlled incubator chambers at constant temperatures from 11º to 35ºC on its host Phthorimaea operculella. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Apanteles subandinus phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
DOI: 10.21223/p3/sjobuf
title: Replication data for: Sweetpotato weevil, Cylas puncticollis (Boheman 1883)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of Cylas puncticollis was studied in controlled incubator chambers at eoght constant temperatures from 15º to 40ºC on its host Sweetpotato [Ipomoea batatas (L.) Lam.]. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator (Akaike 1973) or other built in statistics (R2, Adjusted R2, MSE). The development of the Cylas puncticollis phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/ (Sporleder et al. 2013, Tonnang et al. 2013).
DOI: 10.21223/p3/tmcxdb
title: Replication data for: White fly, Bemisia afer (Priesner & Hosny 1934)

description: The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of Bemisia afer was studied in controlled incubator chambers at eight constant temperatures from 10º to 28ºC on its host sweetpotato. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Bemisia afer phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/