cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3519887
title: Appendix A. Detailed description of the methods to model stand growth for the even-aged and uneven-aged silvicultural systems.

description: Detailed description of the methods to model stand growth for the even-aged and uneven-aged silvicultural systems.
DOI: 10.6084/m9.figshare.3519887.v1
title: Appendix A. Detailed description of the methods to model stand growth for the even-aged and uneven-aged silvicultural systems.

description: Detailed description of the methods to model stand growth for the even-aged and uneven-aged silvicultural systems.
DOI: 10.6084/m9.figshare.3519884
title: Appendix A. Taper equations used to reconstruct diameter at breast height of stumps.

description: Taper equations used to reconstruct diameter at breast height of stumps.
DOI: 10.6084/m9.figshare.3519884.v1
title: Appendix A. Taper equations used to reconstruct diameter at breast height of stumps.

description: Taper equations used to reconstruct diameter at breast height of stumps.
DOI: 10.6084/m9.figshare.3519881
title: Appendix B. Dendrogram results of hierarchical cluster analysis.

description: Dendrogram results of hierarchical cluster analysis.
DOI: 10.6084/m9.figshare.3519881.v1
title: Appendix B. Dendrogram results of hierarchical cluster analysis.

description: Dendrogram results of hierarchical cluster analysis.
DOI: 10.6084/m9.figshare.3519878
title: Appendix A. List of tree species and their estimated functional trait values.

description: List of tree species and their estimated functional trait values.
DOI: 10.6084/m9.figshare.3519875
title: Appendix B. Analysis of the partial least-squares regression (PLSR) model residuals.

description: Analysis of the partial least-squares regression (PLSR) model residuals.
DOI: 10.6084/m9.figshare.3519872
title: Supplement 1. The resulting PLSR model coefficients (and their uncertainties) for predicting foliar traits using leaf-level dried and ground spectral reflectance data.

description: File List PLSR_Model_Coefficients.csv (MD5: f08d202ddec2d8250d8153cc56ffa0ab) Description The PLSR_Model_Coefficients.csv file is a comma-delimited file. It contains the resulting PLSR model coefficients (and their uncertainties) for predicting foliar traits using leaf-level dried and ground spectral reflectance data. The full model represents the coefficients generated using the full calibration data set (i.e., all samples) while the mean and standard deviation (S.D.) are derived from the 1000× jackknife models using a 70/30 split of the full calibration data set. Cells without numbers show where wavelengths were not utilized in the PLSR modeling.
DOI: 10.6084/m9.figshare.3519869
title: Supplement 2. Simplified R script file illustrating the calibration of the dry spectra PLSR models and associated uncertainty analysis.

description: File List PLSR_Modeling.R (md5: 5d2d52dc59ca769a02d54b1b94cf6f40) Description PLSR_Modeling.R contains example R code illustrating the initial calibration of the partial least-squares regression (PLSR) models as well as the associated model validation and uncertainty analyses.
DOI: 10.6084/m9.figshare.3519866
title: Supplement 1. A vector file of polygon fragment boundaries used in this study in KML format.

description: File List CAO_kipuka_boundaries_20131204.kml (MD5: 9cd3a0afdd95797b21e41515140be36d) A polygon vector GIS layer of the fragment boundaries. Description <b>Description</b> These boundaries were computed using utilities packaged with the GDAL library (http://www.gdal.org) under the following methodology: We used gdalwarp and gdal_translate to stack the computed vegetation height and NDVI images onto the same grid at 2.0m resolution. Cubic spline interpolation as used. We used gdal_calc.py create a binary mask of cells meeting the following thresholds: Canopy height &gt; 3.0 and NDVI &gt; 0.7. We used gdal_sieve.py to groups less than 50 cells (0.02ha) with 8-connectedness. The remaining groups were polygonized using the utility gdal_polygonize.py Finally, the boundaries of these groups were rounded slightly using the -simplify flag of the ogr2ogr utility. Tolerance value (maximum distance segment can move when removing a node) was 2.0.
DOI: 10.6084/m9.figshare.3519866.v1
title: Supplement 1. A vector file of polygon fragment boundaries used in this study in KML format.

description: File List CAO_kipuka_boundaries_20131204.kml (MD5: 9cd3a0afdd95797b21e41515140be36d) A polygon vector GIS layer of the fragment boundaries. Description <b>Description</b> These boundaries were computed using utilities packaged with the GDAL library (http://www.gdal.org) under the following methodology: We used gdalwarp and gdal_translate to stack the computed vegetation height and NDVI images onto the same grid at 2.0m resolution. Cubic spline interpolation as used. We used gdal_calc.py create a binary mask of cells meeting the following thresholds: Canopy height &gt; 3.0 and NDVI &gt; 0.7. We used gdal_sieve.py to groups less than 50 cells (0.02ha) with 8-connectedness. The remaining groups were polygonized using the utility gdal_polygonize.py Finally, the boundaries of these groups were rounded slightly using the -simplify flag of the ogr2ogr utility. Tolerance value (maximum distance segment can move when removing a node) was 2.0.
DOI: 10.6084/m9.figshare.3519863
title: Supplement 2. A listing containing code to perform the minimum span computation in C syntax.

description: File List minspan_code.html (MD5: 38998dd468e7d8b2a3d89754b7a04863)Description A function to compute minimum span (to a given radial resolution) written in ANSI-C syntax. For each of a given number of angles in [0,180), this code rotates the points around the given point and computes the nearest points at which the polygon crosses the x-axis (at least twice if point is inside polygon). The distance between these points is stored if minimal across all angles.
DOI: 10.6084/m9.figshare.3519863.v1
title: Supplement 2. A listing containing code to perform the minimum span computation in C syntax.

description: File List minspan_code.html (MD5: 38998dd468e7d8b2a3d89754b7a04863)Description A function to compute minimum span (to a given radial resolution) written in ANSI-C syntax. For each of a given number of angles in [0,180), this code rotates the points around the given point and computes the nearest points at which the polygon crosses the x-axis (at least twice if point is inside polygon). The distance between these points is stored if minimal across all angles.
DOI: 10.6084/m9.figshare.3519860
title: Appendix A. Summary of the Climate-Forest-Vegetation Simulator (Climate-FVS) key features.

description: Summary of the Climate-Forest-Vegetation Simulator (Climate-FVS) key features.
DOI: 10.6084/m9.figshare.3519860.v1
title: Appendix A. Summary of the Climate-Forest-Vegetation Simulator (Climate-FVS) key features.

description: Summary of the Climate-Forest-Vegetation Simulator (Climate-FVS) key features.
DOI: 10.6084/m9.figshare.3519857
title: Appendix B. Analysis of variance results for overstory and regeneration density.

description: Analysis of variance results for overstory and regeneration density.
DOI: 10.6084/m9.figshare.3519857.v1
title: Appendix B. Analysis of variance results for overstory and regeneration density.

description: Analysis of variance results for overstory and regeneration density.
DOI: 10.6084/m9.figshare.3519854
title: Appendix C. Forest structure and live aboveground carbon stock at the end of the 100-year simulations.

description: Forest structure and live aboveground carbon stock at the end of the 100-year simulations.
DOI: 10.6084/m9.figshare.3519854.v1
title: Appendix C. Forest structure and live aboveground carbon stock at the end of the 100-year simulations.

description: Forest structure and live aboveground carbon stock at the end of the 100-year simulations.
DOI: 10.6084/m9.figshare.3519851
title: Supplement 1. Species’ climate profile file.

description: File List ClimateProfile.csv (MD5: b59a0a24df004519f6546ee658306f64)Description ClimateProfile.csv is a comma-separated text file containing the 'Species' Climate profile' data set for the studied stands obtained through the Get Climate-FVS Ready Data (http://forest.moscowfsl.wsu.edu/climate/customData/http://forest.moscowfsl.wsu.edu/climate/customData/, accessed13 March 2012). Column definitions are: -- TABLE: Please see in attached file. --
DOI: 10.6084/m9.figshare.3519851.v1
title: Supplement 1. Species’ climate profile file.

description: File List ClimateProfile.csv (MD5: b59a0a24df004519f6546ee658306f64)Description ClimateProfile.csv is a comma-separated text file containing the 'Species' Climate profile' data set for the studied stands obtained through the Get Climate-FVS Ready Data (http://forest.moscowfsl.wsu.edu/climate/customData/http://forest.moscowfsl.wsu.edu/climate/customData/, accessed13 March 2012). Column definitions are: -- TABLE: Please see in attached file. --
DOI: 10.6084/m9.figshare.3519848
title: Appendix A. Time series of bark beetle-attributed tree mortality in the Red Rock Complex Fire.

description: Time series of bark beetle-attributed tree mortality in the Red Rock Complex Fire.
DOI: 10.6084/m9.figshare.3519848.v1
title: Appendix A. Time series of bark beetle-attributed tree mortality in the Red Rock Complex Fire.

description: Time series of bark beetle-attributed tree mortality in the Red Rock Complex Fire.
DOI: 10.6084/m9.figshare.3519845
title: Appendix B. Photographs of bark beetle outbreak severity measurements.

description: Photographs of bark beetle outbreak severity measurements.
DOI: 10.6084/m9.figshare.3519845.v1
title: Appendix B. Photographs of bark beetle outbreak severity measurements.

description: Photographs of bark beetle outbreak severity measurements.
DOI: 10.6084/m9.figshare.3519842
title: Appendix C. Correlation among fire severity measurements.

description: Correlation among fire severity measurements.
DOI: 10.6084/m9.figshare.3519842.v1
title: Appendix C. Correlation among fire severity measurements.

description: Correlation among fire severity measurements.
DOI: 10.6084/m9.figshare.3519839
title: Appendix A. Model 1 path diagram illustrating the direct effects of hypothesized associations between variables.

description: Model 1 path diagram illustrating the direct effects of hypothesized associations between variables.
DOI: 10.6084/m9.figshare.3519836
title: Appendix B. Model 2 path diagram illustrating the direct effects of hypothesized associations between variables.

description: Model 2 path diagram illustrating the direct effects of hypothesized associations between variables.
DOI: 10.6084/m9.figshare.3519833
title: Appendix C. Path analysis output of total effects using Shannon’s diversity index as a measure of vegetation structural complexity.

description: Path analysis output of total effects using Shannon’s diversity index as a measure of vegetation structural complexity.
DOI: 10.6084/m9.figshare.3519830
title: Appendix A. Habitat classes used for habitat selection and connectivity analyses.

description: Habitat classes used for habitat selection and connectivity analyses.
DOI: 10.6084/m9.figshare.3519827
title: Appendix B. Calculation of the average habitat selection axis.

description: Calculation of the average habitat selection axis.
DOI: 10.6084/m9.figshare.3519827.v1
title: Appendix B. Calculation of the average habitat selection axis.

description: Calculation of the average habitat selection axis.
DOI: 10.6084/m9.figshare.3519824
title: Appendix C. Details about the GPS tracking data of urban hedgehogs.

description: Details about the GPS tracking data of urban hedgehogs.
DOI: 10.6084/m9.figshare.3519824.v1
title: Appendix C. Details about the GPS tracking data of urban hedgehogs.

description: Details about the GPS tracking data of urban hedgehogs.
DOI: 10.6084/m9.figshare.3519821
title: Appendix D. Pairwise comparison between the five alternative connectivity models.

description: Pairwise comparison between the five alternative connectivity models.
DOI: 10.6084/m9.figshare.3519821.v1
title: Appendix D. Pairwise comparison between the five alternative connectivity models.

description: Pairwise comparison between the five alternative connectivity models.
DOI: 10.6084/m9.figshare.3519818
title: Supplement 1. Ten R scripts demonstrating construction and analysis of wetland landscape habitat networks.

description: File List CurrentWetsNoPitsEdges.R (MD5: bf61c7ecab3c50bd3dea86cdeab76727) CurrentWetsNoPitsNetwork.R (MD5: 8a83474484256bf469fb7c315ed00dbc) CurrentWetsNoPitsOrReservesNetwork.R (MD5: 6c29b546d6091435ef67623ea0a99f24) CurrentReservesNetwork.R (MD5: 099ace9269efe87347d40a0b2e3ea6f2) CurrentWetsNetworkPart1.R (MD5: 489a629e01f6e3a6b46ae8ac12964f9c) CurrentWetsNetworkPart2.R (MD5: e836f53d8b6bfe75a4e5bf141821a037) CurrentWetsNoReservesNetworkPart1.R (MD5: c409557544c5a9cca85fbf98c9443ab2) CurrentWetsNoReservesNetworkPart2.R (MD5: 28e3d5049aabd8bd2e829304e6d525ad) HistoricWetsNetworkPart1.R (MD5: d8c0e4beea099be7a955a5efa208f375) HistoricWetsNetworkPart2.R (MD5: 538bb3ab176d941d81b208176b8def52) Description CurrentWetsNoPitsEdges.R contains code to construct network edges in the current wetlands without pits landscape scenario. Similar code was used to construct edges in other landscape scenarios.<br> CurrentWetsNoPitsNetwork.R contains code for construction and analysis of the current wetlands without pits scenario network.<br> CurrentWetsNoPitsOrReservesNetwork.R contains code for construction and analysis of the current wetlands without pits or reserves scenario network.<br> CurrentReservesNetwork.R contains code for construction and analysis of the reserves only scenario network.<br> CurrentWetsNetworkPart1.R contains code for the construction of the current wetlands scenario network. Due to 32-bit R memory limitations, network edges were exported to .csv files for analysis in another R session.<br> CurrentWetsNetworkPart2.R contains code for analysis of the current wetlands scenario network.<br> CurrentWetsNoReservesNetworkPart1.R contains code for the construction of the current wetlands without reserves scenario network. Due to 32-bit R memory limitations, network edges were exported to .csv files for analysis in another R session.<br> CurrentWetsNoReservesNetworkPart2.R contains code for analysis of the current wetlands without reserves scenario network.<br> HistoricWetsNetworkPart1.R contains code for the construction of the historical wetlands scenario network. Due to 32-bit R memory limitations, network edges were exported to .csv files for analysis in another R session.<br> HistoricWetsNetworkPart2.R contains code for the analysis of the historical wetlands scenario network.
DOI: 10.6084/m9.figshare.3519818.v1
title: Supplement 1. Ten R scripts demonstrating construction and analysis of wetland landscape habitat networks.

description: File List CurrentWetsNoPitsEdges.R (MD5: bf61c7ecab3c50bd3dea86cdeab76727) CurrentWetsNoPitsNetwork.R (MD5: 8a83474484256bf469fb7c315ed00dbc) CurrentWetsNoPitsOrReservesNetwork.R (MD5: 6c29b546d6091435ef67623ea0a99f24) CurrentReservesNetwork.R (MD5: 099ace9269efe87347d40a0b2e3ea6f2) CurrentWetsNetworkPart1.R (MD5: 489a629e01f6e3a6b46ae8ac12964f9c) CurrentWetsNetworkPart2.R (MD5: e836f53d8b6bfe75a4e5bf141821a037) CurrentWetsNoReservesNetworkPart1.R (MD5: c409557544c5a9cca85fbf98c9443ab2) CurrentWetsNoReservesNetworkPart2.R (MD5: 28e3d5049aabd8bd2e829304e6d525ad) HistoricWetsNetworkPart1.R (MD5: d8c0e4beea099be7a955a5efa208f375) HistoricWetsNetworkPart2.R (MD5: 538bb3ab176d941d81b208176b8def52) Description CurrentWetsNoPitsEdges.R contains code to construct network edges in the current wetlands without pits landscape scenario. Similar code was used to construct edges in other landscape scenarios.<br> CurrentWetsNoPitsNetwork.R contains code for construction and analysis of the current wetlands without pits scenario network.<br> CurrentWetsNoPitsOrReservesNetwork.R contains code for construction and analysis of the current wetlands without pits or reserves scenario network.<br> CurrentReservesNetwork.R contains code for construction and analysis of the reserves only scenario network.<br> CurrentWetsNetworkPart1.R contains code for the construction of the current wetlands scenario network. Due to 32-bit R memory limitations, network edges were exported to .csv files for analysis in another R session.<br> CurrentWetsNetworkPart2.R contains code for analysis of the current wetlands scenario network.<br> CurrentWetsNoReservesNetworkPart1.R contains code for the construction of the current wetlands without reserves scenario network. Due to 32-bit R memory limitations, network edges were exported to .csv files for analysis in another R session.<br> CurrentWetsNoReservesNetworkPart2.R contains code for analysis of the current wetlands without reserves scenario network.<br> HistoricWetsNetworkPart1.R contains code for the construction of the historical wetlands scenario network. Due to 32-bit R memory limitations, network edges were exported to .csv files for analysis in another R session.<br> HistoricWetsNetworkPart2.R contains code for the analysis of the historical wetlands scenario network.
DOI: 10.6084/m9.figshare.3519815
title: Appendix A. Photos of experimental setup and specifications of light-emitting diode (LED) and high-pressure sodium vapor (HPS) lamps used for all studies.

description: Photos of experimental setup and specifications of light-emitting diode (LED) and high-pressure sodium vapor (HPS) lamps used for all studies.
DOI: 10.6084/m9.figshare.3519815.v1
title: Appendix A. Photos of experimental setup and specifications of light-emitting diode (LED) and high-pressure sodium vapor (HPS) lamps used for all studies.

description: Photos of experimental setup and specifications of light-emitting diode (LED) and high-pressure sodium vapor (HPS) lamps used for all studies.
DOI: 10.6084/m9.figshare.3519812
title: Supplement 1. Raw invertebrate data of LED color comparison and LED vs. HPS comparison.

description: File List ALL files at once: raw_data.zip (MD5: e57b2da7772cdaa40426239d588264c8) <br> Individual files: LED_Colortemp.csv (MD5: 8e699924654c4fddf397b86870531684) LED_vs_HPS_Comparison.csv (MD5: 38615bd3d991c5a26c4a8a4114a2bca1) Description The zip file (raw_data.zip) contains two separate files of raw data, these are: LED_Colortemp.csv, is the raw data that compares 6 difficult colored 'white' LED lights and a control (no light). Samples were collected as per photos 2–3 (photo.docx). A single NA in a block for a given night represents an operational problem with one lamp, e.g., a battery failure. There are two complete blocks of NA's, which refers to an accidental incorrect positioning of lamps within a block on a given night, this error was accounted for during analysis. Column definitions 1: Block, experimental block 2: Position, position of light within experimental block 3: Date 4: Light, the type of light used in the experiment (refer photos.docx for details) Columns 5 to 18 represent the abundance in different taxonomic groups 5: Acarina 6: Araneae 7: Coleoptera 8: Collembola 9: Diptera 10: Hemiptera 11: Hymenoptera 12: Lepidoptera 13: Mantodea 14: Neuroptera 15: Psocoptera 16: Thysanoptera 17: Trichoptera 18: Unknown 19: Total abundance across all groups. LED_vs_HPS_Comparison.csv is the raw insect attraction data of comparisons between 4000k LED highbay and HPS lamps. The sampling device consisted of an A2 sized sheet of Tanglefoot coated mylar hung beneath the lights as per photo 1 (photo.docx). All lights were turned on at 9pm, the finish time for each lamp is then specified. Orientation refers to the orientation of sampling panel with respect to the light currenly active on that particular night Column Definitions 1: Date 2: Temperature, at 10pm at 10 meters above ground 3: Replicate, location of each individual replicate pair of lights 4: Start time, time light turned on at night 5: Finish time, time light turned off at night 6: Light, light type active on that given night 7: Orientation, direction of sampling plane relative to the active light on that night Columns 8-23 represent the abundance in different taxonomic groups 8: Coleoptera 9: Lepidoptera 10: Diptera 11: Hymenoptera 12: Trichoptera 13: Hemiptera 14: Psocidae 15: Neuroptera 16: Thysanoptera 17: Ephemeroptera 18: Orthoptera 19: Araneae 20: Plecoptera 21: Isoptera 22: Blattodea 23: Unknown 24: Total_Catch, total abundance of all groups.
DOI: 10.6084/m9.figshare.3519812.v1
title: Supplement 1. Raw invertebrate data of LED color comparison and LED vs. HPS comparison.

description: File List ALL files at once: raw_data.zip (MD5: e57b2da7772cdaa40426239d588264c8) <br> Individual files: LED_Colortemp.csv (MD5: 8e699924654c4fddf397b86870531684) LED_vs_HPS_Comparison.csv (MD5: 38615bd3d991c5a26c4a8a4114a2bca1) Description The zip file (raw_data.zip) contains two separate files of raw data, these are: LED_Colortemp.csv, is the raw data that compares 6 difficult colored 'white' LED lights and a control (no light). Samples were collected as per photos 2–3 (photo.docx). A single NA in a block for a given night represents an operational problem with one lamp, e.g., a battery failure. There are two complete blocks of NA's, which refers to an accidental incorrect positioning of lamps within a block on a given night, this error was accounted for during analysis. Column definitions 1: Block, experimental block 2: Position, position of light within experimental block 3: Date 4: Light, the type of light used in the experiment (refer photos.docx for details) Columns 5 to 18 represent the abundance in different taxonomic groups 5: Acarina 6: Araneae 7: Coleoptera 8: Collembola 9: Diptera 10: Hemiptera 11: Hymenoptera 12: Lepidoptera 13: Mantodea 14: Neuroptera 15: Psocoptera 16: Thysanoptera 17: Trichoptera 18: Unknown 19: Total abundance across all groups. LED_vs_HPS_Comparison.csv is the raw insect attraction data of comparisons between 4000k LED highbay and HPS lamps. The sampling device consisted of an A2 sized sheet of Tanglefoot coated mylar hung beneath the lights as per photo 1 (photo.docx). All lights were turned on at 9pm, the finish time for each lamp is then specified. Orientation refers to the orientation of sampling panel with respect to the light currenly active on that particular night Column Definitions 1: Date 2: Temperature, at 10pm at 10 meters above ground 3: Replicate, location of each individual replicate pair of lights 4: Start time, time light turned on at night 5: Finish time, time light turned off at night 6: Light, light type active on that given night 7: Orientation, direction of sampling plane relative to the active light on that night Columns 8-23 represent the abundance in different taxonomic groups 8: Coleoptera 9: Lepidoptera 10: Diptera 11: Hymenoptera 12: Trichoptera 13: Hemiptera 14: Psocidae 15: Neuroptera 16: Thysanoptera 17: Ephemeroptera 18: Orthoptera 19: Araneae 20: Plecoptera 21: Isoptera 22: Blattodea 23: Unknown 24: Total_Catch, total abundance of all groups.
DOI: 10.6084/m9.figshare.3519809
title: Appendix A. Detailed description of model application and derivations.

description: Detailed description of model application and derivations.
DOI: 10.6084/m9.figshare.3519809.v1
title: Appendix A. Detailed description of model application and derivations.

description: Detailed description of model application and derivations.
DOI: 10.6084/m9.figshare.3519806
title: Appendix B. Table of forage species, models, and model outputs.

description: Table of forage species, models, and model outputs.
DOI: 10.6084/m9.figshare.3519806.v1
title: Appendix B. Table of forage species, models, and model outputs.

description: Table of forage species, models, and model outputs.
DOI: 10.6084/m9.figshare.3519803
title: Appendix C. Example of aggregation scheme used to explore trophic flow in small pelagic- and cephalopod-based food webs.

description: Example of aggregation scheme used to explore trophic flow in small pelagic- and cephalopod-based food webs.