cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1p848vf
title: Testing Amazon Transitional Forest Leaf Flammability: Leaf Traits (2015)

description: Intensifying land use practices and global climate change are leading to increased forest fragmentation and more severe droughts in the southeastern transitional forests of the Brazilian Amazon. The combination of land use and droughts has increased fire frequency, intensity, and extent in the region. Various plant traits can either limit or promote flammability, as demonstrated in many seasonally dry environments (e.g. Mediterranean shrublands), which are home to species that are adapted to frequent fire. However, little research has been done to associate flammability with the leaf traits of humid tropical forest species that are experiencing fire with greater frequency and severity than historically recorded. In this study, the leaf traits and consequent burning characteristics of seventeen species abundant in a transitional forest plot in Mato Grosso, Brazil were analyzed through controlled combustion experiments and trait measurements. Principal components analysis and linear regression were employed to compare leaf traits and their ability to predict flammability. The results reported herein show that these species demonstrate variability in flammability. Individual leaf surface area and leaf volume were found to be the most significant predictors of flammability among these species. The most flammable species were those with thin, lightweight leaves that become arranged in loosely packed, highly aerated fuelbeds and would be able to drive rapidly moving, high intensity fire across the forest floor, consuming a larger amount of fuel. The less flammable species were characterized by thick, heavy leaves that create dense fuelbeds, potentially inhibiting fire spread and the overall consumption of available fuels. Analyzing the dynamics between leaf traits and plant flammability with forest composition, successional trajectories and future fire behavior could lead to an examination of overall landscape effects in which certain species with fire-adaptive strategies could outcompete more fire-sensitive species, therefore influencing future fire regimes. Furthermore, given a scenario of increasing fire, this knowledge can lead to more effective conservation and land use policies in tropical regions.
DOI: 10.5063/f1t151k5
title: Testing Amazon Transitional Forest Leaf Flammability: Combustion Experiment Flammability Metrics (2015)

description: Intensifying land use practices and global climate change are leading to increased forest fragmentation and more severe droughts in the southeastern transitional forests of the Brazilian Amazon. The combination of land use and droughts has increased fire frequency, intensity, and extent in the region. Various plant traits can either limit or promote flammability, as demonstrated in many seasonally dry environments (e.g. Mediterranean shrublands), which are home to species that are adapted to frequent fire. However, little research has been done to associate flammability with the leaf traits of humid tropical forest species that are experiencing fire with greater frequency and severity than historically recorded. In this study, the leaf traits and consequent burning characteristics of seventeen species abundant in a transitional forest plot in Mato Grosso, Brazil were analyzed through controlled combustion experiments and trait measurements. Principal components analysis and linear regression were employed to compare leaf traits and their ability to predict flammability. The results reported herein show that these species demonstrate variability in flammability. Individual leaf surface area and leaf volume were found to be the most significant predictors of flammability among these species. The most flammable species were those with thin, lightweight leaves that become arranged in loosely packed, highly aerated fuelbeds and would be able to drive rapidly moving, high intensity fire across the forest floor, consuming a larger amount of fuel. The less flammable species were characterized by thick, heavy leaves that create dense fuelbeds, potentially inhibiting fire spread and the overall consumption of available fuels. Analyzing the dynamics between leaf traits and plant flammability with forest composition, successional trajectories and future fire behavior could lead to an examination of overall landscape effects in which certain species with fire-adaptive strategies could outcompete more fire-sensitive species, therefore influencing future fire regimes. Furthermore, given a scenario of increasing fire, this knowledge can lead to more effective conservation and land use policies in tropical regions.
DOI: 10.5063/f1xs5s96
title: Testing Amazon Transitional Forest Leaf Flammability: Combustion Experiment Temperature Readings (2015)

description: Intensifying land use practices and global climate change are leading to increased forest fragmentation and more severe droughts in the southeastern transitional forests of the Brazilian Amazon. The combination of land use and droughts has increased fire frequency, intensity, and extent in the region. Various plant traits can either limit or promote flammability, as demonstrated in many seasonally dry environments (e.g. Mediterranean shrublands), which are home to species that are adapted to frequent fire. However, little research has been done to associate flammability with the leaf traits of humid tropical forest species that are experiencing fire with greater frequency and severity than historically recorded. In this study, the leaf traits and consequent burning characteristics of seventeen species abundant in a transitional forest plot in Mato Grosso, Brazil were analyzed through controlled combustion experiments and trait measurements. Principal components analysis and linear regression were employed to compare leaf traits and their ability to predict flammability. The results reported herein show that these species demonstrate variability in flammability. Individual leaf surface area and leaf volume were found to be the most significant predictors of flammability among these species. The most flammable species were those with thin, lightweight leaves that become arranged in loosely packed, highly aerated fuelbeds and would be able to drive rapidly moving, high intensity fire across the forest floor, consuming a larger amount of fuel. The less flammable species were characterized by thick, heavy leaves that create dense fuelbeds, potentially inhibiting fire spread and the overall consumption of available fuels. Analyzing the dynamics between leaf traits and plant flammability with forest composition, successional trajectories and future fire behavior could lead to an examination of overall landscape effects in which certain species with fire-adaptive strategies could outcompete more fire-sensitive species, therefore influencing future fire regimes. Furthermore, given a scenario of increasing fire, this knowledge can lead to more effective conservation and land use policies in tropical regions.
DOI: 10.5066/f7df6p9d
title: Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013 - Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance

description: The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods,environmental data, and associated quality-assurance data for samples collected in 2013. <br> <br> Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes located near Duluth, Minnesota; Kewaunee, Wisconsin; Appleton, Wisconsin; Detroit, Michigan; Grand Rapids, Michigan; St Clair, Michigan; Cleveland, Ohio; Wanakena, New York; and Potsdam, New York. During this study, 93 environmental samples and 6 field replicate sample pairs of surface water, 3 field blank water samples, and 3 laboratory-matrix spike water samples were collected or prepared. Additionally, 49 environmental samples, 4 field replicate sample pairs, and two laboratory-matrix spike samples of bottom sediment were collected or prepared.Water and bottom-sediment samples were analyzed at the USGS National Water Quality Laboratory in Denver, Colorado, for a broad suite of CECs. <br> <br> Suggested Citation: Elliott, S.M. <sup>1</sup>, Lee, K.E. <sup>1</sup>, Brigham, M.E. <sup>1</sup>, Langer, S.K. <sup>1</sup>, Trombley, M.M. <sup>1</sup>, Menheer, M.A. <sup>1</sup>, Furlong, E.T. <sup>1</sup>, Foreman, W.T. <sup>1</sup>, Jorgenson, Z.G. <sup>2</sup>, Choy, S.J. <sup>2</sup>, Moore, J.N. <sup>2</sup>, Banda, J.B. <sup>2</sup>, and Gefell, D.J. <sup>2</sup>, 2015, Chemicals of emerging concern in water and bottom sediment in the Great Lakes Basin 2013Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance: U.S. Geological Survey Data Release, http://dx.doi.org/10.5066/F7DF6P9D. <br> <br> <sup>1</sup>U.S. Geological Survey <br> <sup>2</sup>U.S. Fish and Wildlife Service
DOI: 10.5066/f7h70cww
title: Statistically-downscaled monthly historical (1901-2000) CRU TS 2.1 and projected future (2001-2099) CMIP3 A2 and A1B simulated temperature, precipitation, and sunshine data on a 30-second grid of the northwest United States and southwest Canada, version 1.0

description: This data set consists of monthly mean temperature (degrees C), total precipitation (mm), and possible sunshine (%) data statistically downscaled onto a 30-second grid of the northwest United States and southwest Canada. Historical climate data for 1901-2000 were developed from the CRU CL 1.0, CRU CL 2.0, and CRU TS 2.1 data sets (http://www.cru.uea.ac.uk/cru/data/hrg/). Projected future climate data for 2001-2099 were developed using climate model simulations produced by five coupled atmosphere-ocean general circulation models: CCSM3, CGCM3.1(T47), GISS-ER, MIROC3.2(medres), and UKMO-HadCM3. These climate simulations were obtained from the World Climate Research Programme\'s (WCRP\'s) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model data set (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). We used simulations produced under the Special Report on Emissions Scenarios (SRES) A2 and A1B greenhouse gases emissions scenarios. Additional documentation on the climate models is available at: http://www-pcmdi.llnl.gov/ipcc/model_documentation/ipcc_model_documentation.php. Shafer et al. (2015, PLoS ONE) describe the methods used to create the downscaled data. The climate data in this data set were developed for use in modeling species and ecosystem responses to climate change and may not be suitable for other applications. Specifically, these data are numerical estimates of historical climate and projections (not predictions) of potential future climate. The data are provided in self-documenting netCDF files, which provide additional details for each variable.
DOI: 10.14457/cu.the.2007.172
title: เครือข่ายและกระบวนการสื่อสาร เพื่อส่งเสริมการท่องเที่ยวเชิงเกษตร ของชมรมการท่องเที่ยวเชิงเกษตร อำเภอวังน้ำเขียว จังหวัดนครราชสีมา /
DOI: 10.5066/f73x84ph
title: LPJ biomes (30-year mean) simulated using monthly historical (1901-2000) CRU TS 2.1 climate data and projected future (2001-2099) CMIP3 A2 and A1B simulated climate data on a 30-second grid of the northwest United States and southwest Canada, version 1.0

description: This data set consists of biomes (30-year mean) simulated using LPJ, a dynamic global vegetation model (Sitch et al. 2003, Global Change Biology 9:161-185), for a 30-second grid of the northwest United States and southwest Canada. Shafer et al. (2015, PLoS ONE 10: e0138759) describe the methods used to create the biome data. LPJ was run for 1901-2000 using historical climate data developed from the CRU CL 1.0, CRU CL 2.0, and CRU TS 2.1 data sets (http://www.cru.uea.ac.uk/cru/data/hrg/) and for 2001-2099 using projected future climate simulations produced by five coupled atmosphere-ocean general circulation models: CCSM3, CGCM3.1(T47), GISS-ER, MIROC3.2(medres), and UKMO-HadCM3. These climate simulations were obtained from the World Climate Research Programme\'s (WCRP\'s) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model data set (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). We used simulations produced under the Special Report on Emissions Scenarios (SRES) A2 and A1B greenhouse gases emissions scenarios. Additional documentation on the climate models is available at: http://www-pcmdi.llnl.gov/ipcc/model_documentation/ipcc_model_documentation.php. For each year in the data set (1930-2099), biomes were derived from means of LPJ output for the previous 30 years (i.e., data for 1930 represent biomes derived from LPJ 1901-1930 30-year mean data). The biome data in this data set were developed for use in evaluating species and ecosystem responses to climate change and may not be suitable for other applications. Specifically, these data are model simulations of historical biomes and model-simulated projections (not predictions) of potential future biomes. The data are provided in self-documenting netCDF files, which provide additional details about the data.
DOI: 10.5066/f7cf9n51
title: Bioclimatic variables calculated from statistically-downscaled historical (1901-2000) CRU TS 2.1 climate data and projected future (2001-2099) CMIP3 A2 and A1B simulated climate data on a 30-second grid of the northwest United States and southwest Canada, version 1.0

description: This data set consists of a set of bioclimatic variables calculated from monthly mean temperature (degrees C), total precipitation (mm), and possible sunshine (%) data on a 30-second grid of the northwest United States and southwest Canada. Historical climate data for 1901-2000 were developed from the CRU CL 1.0, CRU CL 2.0, and CRU TS 2.1 data sets (http://www.cru.uea.ac.uk/cru/data/hrg/). Projected future climate data for 2001-2099 were developed using climate model simulations produced by five coupled atmosphere-ocean general circulation models: CCSM3, CGCM3.1(T47), GISS-ER, MIROC3.2(medres), and UKMO-HadCM3. These climate simulations were obtained from the World Climate Research Programme\'s (WCRP\'s) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model data set (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). We used simulations produced under the Special Report on Emissions Scenarios (SRES) A2 and A1B greenhouse gases emissions scenarios. Additional documentation on the climate models is available at: http://www-pcmdi.llnl.gov/ipcc/model_documentation/ipcc_model_documentation.php. Shafer et al. (2015, PLoS ONE) describe the methods used to create the downscaled climate data from which the bioclimatic variables are calculated. To calculate bioclimatic variables requiring a daily time-step, we created pseudo-daily climate data by bilinearly interpolating monthly climate values to individual days. Variables in this data set that are calculated from pseudo-daily data include chilling period, frost-free days, growing degree days (GDD0 and GDD5), and snowfall snow water equivalent. The bioclimate data in this data set were developed for use in modeling species and ecosystem responses to climate change and may not be suitable for other applications. Specifically, these data are numerical estimates of historical bioclimate and projections (not predictions) of potential future bioclimate. The data are provided in self-documenting netCDF files, which provide additional details about the data.
DOI: 10.17171/1-1-1
title: Dialface ID 1
title: Altino, Inv. Nr. AL10

description: Information on the Dialface ID 1 / Object ID 1
description: Ancient Sundials
DOI: 10.17171/1-1-271
title: Dialface ID 23
title: Point Selection

description: Surfaces extracted from model BSDP0250 (ObjID 23)
description: Ancient Sundials
DOI: 10.17171/1-1-312
title: Dialface ID 25
title: Point Selection

description: Surfaces extracted from model BSDP0252 (ObjID 25)
description: Ancient Sundials
DOI: 10.17171/1-1-356
title: Dialface ID 27
title: Point Selection

description: Surfaces extracted from model BSDP0254 (ObjID 27)
description: Ancient Sundials
DOI: 10.17171/1-1-391
title: Dialface ID 28
title: Point Selection

description: Surfaces extracted from model BSDP0256 (ObjID 28)
description: Ancient Sundials
DOI: 10.14457/cu.the.2007.176
title: สุขภาพจิตของผู้ชาย ที่ได้รับการผ่าตัดเปลี่ยนเพศที่มีอาชีพบริการ /
DOI: 10.17171/1-1-1141
title: Image of Dialface ID 108
title: Athens, Inventory Nr. ST589

description: Photographs of the Sundial in the Museum of the Stoa of Athens (of the object-ID 111 in the database on Greek and Roman sundials BSDP0001)
description: Ancient Sundials
DOI: 10.17171/1-1-117
title: Dialface ID 18
title: Point Selection

description: Surfaces extracted from model BSDP0300 (ObjID 18)
description: Ancient Sundials
DOI: 10.17171/1-1-1176
title: Image of Dialface ID 112
title: Athens, Inventory Nr. ST148

description: Photographs of the Sundial in the Museum of the Stoa of Athens (of the object-ID 114 in the database on Greek and Roman sundials BSDP0001)
description: Ancient Sundials
DOI: 10.17171/1-1-1295
title: Dialface ID 124
title: Point Selection

description: Surfaces extracted from model BSDP0030 (ObjID 126)
description: Ancient Sundials
DOI: 10.17171/1-1-13
title: Dialface ID 2
title: Delos, Inv. Nr. 133

description: Information on the Dialface ID 2 / Object ID 2
description: Ancient Sundials
DOI: 10.17171/1-1-1319
title: Dialface ID 125
title: Point Selection

description: Surfaces extracted from model BSDP0031 (ObjID 127)
description: Ancient Sundials
DOI: 10.17171/1-1-1350
title: Image of Dialface ID 126
title: Delos, Inventory Nr. A7812

description: Photographs of the sundial A7812 of the (object-ID 128 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 10.10.2012 (Foto 1, 9.10.2012).
description: Ancient Sundials
DOI: 10.17171/1-1-1382
title: Dialface ID 127
title: Point Selection

description: Surfaces extracted from model BSDP0032 (ObjID 129)
description: Ancient Sundials
DOI: 10.17171/1-1-1415
title: Image of Dialface ID 132
title: Delos, Inventory Nr. B115 (6243)

description: Photographs of the sundial B115 (6243) of the (object-ID 130 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 08.10.2012.
description: Ancient Sundials
DOI: 10.17171/1-1-1483
title: Dialface ID 129
title: Point Selection

description: Surfaces extracted from model BSDP0034 (ObjID 131)
description: Ancient Sundials
DOI: 10.17171/1-1-150
title: Dialface ID 20
title: Point Selection

description: Surfaces extracted from model BSDP0244 (ObjID 20)
description: Ancient Sundials
DOI: 10.17171/1-1-1517
title: Dialface ID 131
title: Delos, Inv. Nr. 261

description: Information on the Dialface ID 131 / Object ID 133
description: Ancient Sundials
DOI: 10.17171/1-1-1582
title: Dialface ID 133
title: Delos, Inv. Nr. B1117 (7810)

description: Information on the Dialface ID 133 / Object ID 135
description: Ancient Sundials
DOI: 10.17171/1-1-1687
title: Image of Dialface ID 136
title: Rhodes, Inventory Nr. APX1111

description: Photographs of the sundial in APX1111 in the Archaeological Museum of Rhodes,(object-ID 138 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 23.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-1726
title: Dialface ID 137
title: Point Selection

description: Surfaces extracted from model BSDP0162 (ObjID 139)
description: Ancient Sundials
DOI: 10.17171/1-1-1771
title: Image of Dialface ID 148
title: Paphos, Cypros

description: Photographs of the sundial from Paphos, Cyprus of the (object-ID 150 in the database on Greek and Roman sundials BSDP0001). Camera: Canon EOS 60D; date: 07.01.2013. Note: These photos were solely made for generating 3D-data and not meant to serve as illustrations.
description: Ancient Sundials
DOI: 10.17171/1-1-1800
title: Image of Dialfaces ID 149 / 150
title: Paris Inventory Nr. 2820

description: Photographs of the sundial in the Musee du Louvre, (object-ID 151 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 17.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-1886
title: Dialface ID 164
title: Point Selection

description: Surfaces extracted from model BSDP0361 (ObjID 155)
description: Ancient Sundials
DOI: 10.17171/1-1-1904
title: Dialface ID 155
title: Pergamon, Inv. Nr. 24

description: Information on the Dialface ID 155 / Object ID 156
description: Ancient Sundials
DOI: 10.17171/1-1-1938
title: Dialface ID 156
title: Point Selection

description: Surfaces extracted from model BSDP0058 (ObjID 285)
description: Ancient Sundials
DOI: 10.17171/1-1-1977
title: Dialface ID 165
title: Point Selection

description: Surfaces extracted from model BSDP0266 (ObjID 166)
description: Ancient Sundials
DOI: 10.17171/1-1-2
title: Image of Dialface ID 1
title: Altino Italy Inventory Nr. AL 10

description: Photographs of the sundial from the Museo Archaeologico Nazionale di Altino, Italy (of the object-ID 1 in the database on Greek and Roman sundials BSDP0001). Camera: Fujifilm FinePx S100FS, date: 19.07.2014. Note: These photos were solely made for generating 3D-data and not meant to serve as illustrations.
description: Ancient Sundials
DOI: 10.17171/1-1-2105
title: Dialface ID 169
title: Point Selection

description: Surfaces extracted from model BSDP0274 (ObjID 170)
description: Ancient Sundials
DOI: 10.17171/1-1-2223
title: Dialface ID 174
title: Point Selection

description: Surfaces extracted from model BSDP0234 (ObjID 175)
description: Ancient Sundials
DOI: 10.17171/1-1-2419
title: Orthophotos of Dialfaces ID 192 / 329
title: Naga, Sudan

description: Orthophotos of the sundial from Naga, Sudan of the (object-ID 193 in the database on Greek and Roman sundials BSDP0001). Naga Project - Ägyptisches Museum Berlin, Data acquisition by TrigonArt BauerPraus GbR
description: Ancient Sundials
DOI: 10.17171/1-1-2463
title: Image of Dialface ID 194
title: Haifa Inventory Nr. 86-250

description: Photographs of the sundial from the Hecht Museum, Haifa, Israel (of the object-ID 196 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D200, date: 27.05.2014. Note: These photos were solely made for generating 3D-data and not meant to serve as illustrations.
description: Ancient Sundials
DOI: 10.17171/1-1-2549
title: Image of Dialfaces ID 208 / 328
title: Rhodes, Inventory Nr. APX426

description: Photographs of the sundial in APX426 in the Archaeological Museum of Rhodes,(object-ID 211 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 23.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-2782
title: Dialface ID 242
title: Athens

description: Information on the Dialface ID 242 / Object ID 241
description: Ancient Sundials
DOI: 10.17171/1-1-421
title: Dialface ID 29
title: Point Selection

description: Surfaces extracted from model BSDP0258 (ObjID 29)
description: Ancient Sundials
DOI: 10.17171/1-1-523
title: Image of Dialface ID 619
title: Kouklia, Cyprus

description: Photographs of the sundial 1 from Kouklia, Cyprus of the (object-ID 32 in the database on Greek and Roman sundials BSDP0001); Camera: Canon EOS 60D; date: 09.01.2013. Note: These photos were solely made for generating 3D-data and not meant to serve as illustrations.
description: Ancient Sundials
DOI: 10.17171/1-1-644
title: Image of Dialface ID 618
title: Limassol, Cyprus

description: Photographs of the sundial from Limassol, Cyprus of the (object-ID 46 in the database on Greek and Roman sundials BSDP0001). Camera: Canon EOS 60D; date: 08.01.2013. Note: These photos were solely made for generating 3D-data and not meant to serve as illustrations.
description: Ancient Sundials