cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11111315
title: FAO_gez1.zip

description: This document summarizes the design process, definitions, and algorithmic implementation conducted by the Joint Research Centre to support the development and implementation of FAO’s global forest analysis for the thematic topics Accounting and Fragmentation. The analysis scheme and data products were designed to support the indicator Forest Fragmentation in the State of the World's Forests (SOFO) report 2020. The spatial forest coverage is derived from the Copernicus Global Land Cover 2015 dataset (accessed in July 2019) and for 21 Global Ecological Zones (GEZ). The source data was re-projected to equal area to allow for comparable area estimates across the Globe. Spatially explicit maps and statistical summaries are derived at global level and for each of the 21 GEZ.
DOI: 10.6084/m9.figshare.11110826
title: FE47_2018.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level.<br>The status product consists of maps and summary statistics for each year and assessment level.<br>The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.
DOI: 10.6084/m9.figshare.11111372.v1
title: MZ_0031_002_Neophyllobius_electrus_40x_legIV_right_dorsal_partone

description: <b>Species:</b> <i>Neophyllobius electrus</i> Zmudzinski<b>Source:</b> Baltic amber<b>Deposition: </b>Senckenberg Museum of Natural History Görlitz (SMNG) in Germany, Sammlung Oribatida, under the collection number 07/36290–78<b>Author's catalog number:</b> MZ_XXXX_002_Neophyllobius_electrus_XXx_XXX_info<b>Microscope:</b> Nikon Eclipse Ni-U<br><b>Camera:</b> Nikon DS-Ri2<b>Image aquisition software:</b> NIS-Elements D<b>Optics:</b> CFI Apochromat NIR 40X W + DIC
DOI: 10.6084/m9.figshare.11110715
title: MZ_0030_002_Neophyllobius_electrus_40x_legIV_left_dorsal_parttwo

description: <b>Species:</b> <i>Neophyllobius electrus</i> Zmudzinski<b>Source:</b> Baltic amber<b>Deposition: </b>Senckenberg Museum of Natural History Görlitz (SMNG) in Germany, Sammlung Oribatida, under the collection number 07/36290–78<b>Author's catalog number:</b> MZ_XXXX_002_Neophyllobius_electrus_XXx_XXX_info<b>Microscope:</b> Nikon Eclipse Ni-U<br><b>Camera:</b> Nikon DS-Ri2<b>Image aquisition software:</b> NIS-Elements D<b>Optics:</b> CFI Apochromat NIR 40X W + DIC
DOI: 10.6084/m9.figshare.11111315.v1
title: FAO_gez1.zip

description: This document summarizes the design process, definitions, and algorithmic implementation conducted by the Joint Research Centre to support the development and implementation of FAO’s global forest analysis for the thematic topics Accounting and Fragmentation. The analysis scheme and data products were designed to support the indicator Forest Fragmentation in the State of the World's Forests (SOFO) report 2020. The spatial forest coverage is derived from the Copernicus Global Land Cover 2015 dataset (accessed in July 2019) and for 21 Global Ecological Zones (GEZ). The source data was re-projected to equal area to allow for comparable area estimates across the Globe. Spatially explicit maps and statistical summaries are derived at global level and for each of the 21 GEZ.
DOI: 10.6084/m9.figshare.11110709
title: FE47_2012.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level.<br>The status product consists of maps and summary statistics for each year and assessment level.<br>The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.
DOI: 10.6084/m9.figshare.11110673
title: FE47_2006.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level.<br>The status product consists of maps and summary statistics for each year and assessment level.<br>The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.<br>
DOI: 10.6084/m9.figshare.11110709.v1
title: FE47_2012.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level.<br>The status product consists of maps and summary statistics for each year and assessment level.<br>The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.
DOI: 10.6084/m9.figshare.11110715.v1
title: MZ_0030_002_Neophyllobius_electrus_40x_legIV_left_dorsal_parttwo

description: <b>Species:</b> <i>Neophyllobius electrus</i> Zmudzinski<b>Source:</b> Baltic amber<b>Deposition: </b>Senckenberg Museum of Natural History Görlitz (SMNG) in Germany, Sammlung Oribatida, under the collection number 07/36290–78<b>Author's catalog number:</b> MZ_XXXX_002_Neophyllobius_electrus_XXx_XXX_info<b>Microscope:</b> Nikon Eclipse Ni-U<br><b>Camera:</b> Nikon DS-Ri2<b>Image aquisition software:</b> NIS-Elements D<b>Optics:</b> CFI Apochromat NIR 40X W + DIC
DOI: 10.6084/m9.figshare.11110586
title: FE47_2000.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level.<br>The status product consists of maps and summary statistics for each year and assessment level.<br>The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.
DOI: 10.6084/m9.figshare.11110586.v1
title: FE47_2000.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level.<br>The status product consists of maps and summary statistics for each year and assessment level.<br>The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.
DOI: 10.6084/m9.figshare.11110673.v1
title: FE47_2006.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level.<br>The status product consists of maps and summary statistics for each year and assessment level.<br>The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.<br>
DOI: 10.6084/m9.figshare.11110361
title: FE47_1990.zip

description: This document describes the design process, definitions, and algorithmic implementation for the pan-European Assessment of Forest Fragmentation. This study is a preceding presentation of the indicator 4.7 in the State of Europe’s Forests 2020 report, published by FOREST EUROPE. The spatial forest coverage is assessed from the Copernicus CORINE Land Cover dataset (CLC, version 20, downloaded in July 2019) for the years 1990, 2000, 2006, 2012, 2018. Spatially explicit maps and statistical summaries are derived at three reporting levels: CLC (entire CLC coverage), EU28 and at country level. The status product consists of maps and summary statistics for each year and assessment level. The change product highlights areas where non-forest and forest fragmentation classes changed over time. The change product is provided for the time frame 2000 to 2018, which is the longest time span with comparable data coverage.
DOI: 10.6084/m9.figshare.11109998
title: Pelvis injury risk curves in side impacts from human cadaver experiments using survival analysis and Brier score metrics

description: <b>Objectives:</b> Post Mortem Human Surrogate (PMHS) experiments are used for describing tolerance and improve safety. For nearside impacts, the United States Standard Federal Motor Vehicle Safety Standards (FMVSS-214) used PMHS tests and binary regression methods to achieve these goals. Since this promulgation, Parametric Statistical Survival Modeling (PSSM) has become a de facto standard for developing injury risk curves (IRCs). This study is focused on pelvic injuries from side impacts. The objectives are as follows. Analyze impactor-based intact PMHS tests and develop IRCs at different AIS levels using the force metric and examine the effectiveness of other force-related variables on IRCs. <b>Methods:</b> Impactor-driven pelvic tests conducted using whole body PMHS were selected from published studies. The dataset had 63 tests. Peak force, 3-ms clip force, and impulse were used to develop IRCs for Abbreviated Injury Scores (AIS) AIS2+ and AIS3+, i.e., groups A and B. Brier Score Metric (BSM) was used for ranking metrics. 95% confidence intervals were computed, Normalized Confidence Interval Sizes (NCIS) were determined, and quality of the IRCs were obtained. <b>Results:</b> Impulse best described the underlying response of the pelvis. BSMs were the lowest for the impulse for both groups. At 10% and 50% probabilities, impulses were 71 Ns and 125 Ns for group A and 79 Ns and 160 Ns for group B; peak forces were 3.8 kN and 7.1 kN and 4 kN and 10 kN for groups A and B; and clip forces were 2.7 kN and 6.5 kN and 3.6 kN and 8.6 kN, for groups A and B. NCIS at discrete probability levels, qualities of risk curves, and individual IRCs are given. <b>Conclusion:</b> This study underscores the importance of using impulse to describe pelvis injury criteria in lateral impacts. These findings are applicable to anthropomorphic test devices, as matched pair tests are done to determine dummy-based injury criteria/injury assessment risk curves (IARCs). Although IRCs have been developed for WorldSID, it may be appropriate to use impulse-based IARCs. Because THOR is a potential device for automated vehicle environments, it may be appropriate to develop THOR-based IARCS. The present IRCs act as fundamental human-based injury criteria. These responses can also be used in human body and subsystem computational models.
DOI: 10.6084/m9.figshare.11109452
title: MZ_0029_002_Neophyllobius_electrus_40x_legIV_left_dorsal_partone

description: <b>Species:</b> <i>Neophyllobius electrus</i> Zmudzinski<b>Source:</b> Baltic amber<b>Deposition: </b>Senckenberg Museum of Natural History Görlitz (SMNG) in Germany, Sammlung Oribatida, under the collection number 07/36290–78<b>Author's catalog number:</b> MZ_XXXX_002_Neophyllobius_electrus_XXx_XXX_info<b>Microscope:</b> Nikon Eclipse Ni-U<br><b>Camera:</b> Nikon DS-Ri2<b>Image aquisition software:</b> NIS-Elements D<b>Optics:</b> CFI Apochromat NIR 40X W + DIC
DOI: 10.6084/m9.figshare.11109998.v1
title: Pelvis injury risk curves in side impacts from human cadaver experiments using survival analysis and Brier score metrics

description: <b>Objectives:</b> Post Mortem Human Surrogate (PMHS) experiments are used for describing tolerance and improve safety. For nearside impacts, the United States Standard Federal Motor Vehicle Safety Standards (FMVSS-214) used PMHS tests and binary regression methods to achieve these goals. Since this promulgation, Parametric Statistical Survival Modeling (PSSM) has become a de facto standard for developing injury risk curves (IRCs). This study is focused on pelvic injuries from side impacts. The objectives are as follows. Analyze impactor-based intact PMHS tests and develop IRCs at different AIS levels using the force metric and examine the effectiveness of other force-related variables on IRCs. <b>Methods:</b> Impactor-driven pelvic tests conducted using whole body PMHS were selected from published studies. The dataset had 63 tests. Peak force, 3-ms clip force, and impulse were used to develop IRCs for Abbreviated Injury Scores (AIS) AIS2+ and AIS3+, i.e., groups A and B. Brier Score Metric (BSM) was used for ranking metrics. 95% confidence intervals were computed, Normalized Confidence Interval Sizes (NCIS) were determined, and quality of the IRCs were obtained. <b>Results:</b> Impulse best described the underlying response of the pelvis. BSMs were the lowest for the impulse for both groups. At 10% and 50% probabilities, impulses were 71 Ns and 125 Ns for group A and 79 Ns and 160 Ns for group B; peak forces were 3.8 kN and 7.1 kN and 4 kN and 10 kN for groups A and B; and clip forces were 2.7 kN and 6.5 kN and 3.6 kN and 8.6 kN, for groups A and B. NCIS at discrete probability levels, qualities of risk curves, and individual IRCs are given. <b>Conclusion:</b> This study underscores the importance of using impulse to describe pelvis injury criteria in lateral impacts. These findings are applicable to anthropomorphic test devices, as matched pair tests are done to determine dummy-based injury criteria/injury assessment risk curves (IARCs). Although IRCs have been developed for WorldSID, it may be appropriate to use impulse-based IARCs. Because THOR is a potential device for automated vehicle environments, it may be appropriate to develop THOR-based IARCS. The present IRCs act as fundamental human-based injury criteria. These responses can also be used in human body and subsystem computational models.
DOI: 10.6084/m9.figshare.11109452.v1
title: MZ_0029_002_Neophyllobius_electrus_40x_legIV_left_dorsal_partone

description: <b>Species:</b> <i>Neophyllobius electrus</i> Zmudzinski<b>Source:</b> Baltic amber<b>Deposition: </b>Senckenberg Museum of Natural History Görlitz (SMNG) in Germany, Sammlung Oribatida, under the collection number 07/36290–78<b>Author's catalog number:</b> MZ_XXXX_002_Neophyllobius_electrus_XXx_XXX_info<b>Microscope:</b> Nikon Eclipse Ni-U<br><b>Camera:</b> Nikon DS-Ri2<b>Image aquisition software:</b> NIS-Elements D<b>Optics:</b> CFI Apochromat NIR 40X W + DIC
DOI: 10.6084/m9.figshare.11109290
title: 20191125.xlsx

description: 的 <sup>ΔΔ</sup> Ç <sub>吨</sub> 被使用的方法来计算与β肌动蛋白作为参照基因的相对表达，并归一化至对照。S-短等级，M-中等级，L-长等级
DOI: 10.6084/m9.figshare.11109290.v2
title: 20191125.xlsx

description: 的 <sup>ΔΔ</sup> Ç <sub>吨</sub> 被使用的方法来计算与β肌动蛋白作为参照基因的相对表达，并归一化至对照。S-短等级，M-中等级，L-长等级
DOI: 10.6084/m9.figshare.11109338.v1
title: 2b) Rdata file containing bayesian network models, used to run final model

description: This file consists of all necessary data and model objects used to run the final model given in 2c. The primary component of this is a suite of Bayesian network models of USA agricultural production 1990-2017. They were created using code given in 2a.<br>The results generated by this code are provided as 2b). This data was then combined into a single holistic model using the code given in 2c).
DOI: 10.6084/m9.figshare.11109260
title: MZ_0028_002_Neophyllobius_electrus_40x_legIII_right_dorsal_parttwo

description: <b>Species:</b> <i>Neophyllobius electrus</i> Zmudzinski<b>Source:</b> Baltic amber<b>Deposition: </b>Senckenberg Museum of Natural History Görlitz (SMNG) in Germany, Sammlung Oribatida, under the collection number 07/36290–78<b>Author's catalog number:</b> MZ_XXXX_002_Neophyllobius_electrus_XXx_XXX_info<b>Microscope:</b> Nikon Eclipse Ni-U<br><b>Camera:</b> Nikon DS-Ri2<b>Image aquisition software:</b> NIS-Elements D<b>Optics:</b> CFI Apochromat NIR 40X W + DIC
DOI: 10.6084/m9.figshare.11109338.v2
title: 4b) Rdata file containing bayesian network models, used to run final model

description: This file consists of all necessary data and model objects used to run the final model given in 2c. The primary component of this is a suite of Bayesian network models of USA agricultural production 1990-2017. They were created using code given in 2a.<br>The results generated by this code are provided as 2b). This data was then combined into a single holistic model using the code given in 2c).
DOI: 10.6084/m9.figshare.11109260.v1
title: MZ_0028_002_Neophyllobius_electrus_40x_legIII_right_dorsal_parttwo

description: <b>Species:</b> <i>Neophyllobius electrus</i> Zmudzinski<b>Source:</b> Baltic amber<b>Deposition: </b>Senckenberg Museum of Natural History Görlitz (SMNG) in Germany, Sammlung Oribatida, under the collection number 07/36290–78<b>Author's catalog number:</b> MZ_XXXX_002_Neophyllobius_electrus_XXx_XXX_info<b>Microscope:</b> Nikon Eclipse Ni-U<br><b>Camera:</b> Nikon DS-Ri2<b>Image aquisition software:</b> NIS-Elements D<b>Optics:</b> CFI Apochromat NIR 40X W + DIC
DOI: 10.6084/m9.figshare.11109338
title: 4b) Rdata file containing bayesian network models, used to run final model

description: This file consists of all necessary data and model objects used to run the final model given in 2c. The primary component of this is a suite of Bayesian network models of USA agricultural production 1990-2017. They were created using code given in 2a.<br>The results generated by this code are provided as 2b). This data was then combined into a single holistic model using the code given in 2c).
DOI: 10.6084/m9.figshare.11109026
title: Ontogenetic changes in the ventral colouration of post metamorphic Elachistocleis haroi Pereyra, Akmentins, Laufer, Vaira, 2013 (Anura: Microhylidae)

description: Ontogenetic colour change (OCC) is defined as the progressive and non-reversible process of changes in colouration of organisms associated with their development. Among the many vertebrate groups, amphibians are particularly impressive for their strikingly wide variety of colours, colour patterns, and signals, whose evolutionary and ecological significance have been poorly studied. <i>Elachistocleis</i> comprises 18 species currently separated into two main groups based on their ventral colour pattern: one immaculate and the other with specks and/or colour patches. <i>Elachistocleis haroi</i> is a small-sized species within the immaculate venter group, distributed in the Yungas and Dry Chaco ecoregions from which little information is known. In a comprehensive sampling of post-metamorphic individuals of <i>E. haroi </i>at different stages of development we identified a significant in ventral colour pattern, which could denote a progressive filling of yellow colour according to an ontogenetic pattern. To test this hypothesis, we analysed 39 post-metamorphic individuals of <i>E. haroi</i> at different stages of development with imaging procedures. We found that yellow spots and their intensity are significantly related to snout-vent length, as major expansion of colour on the sides, gular region and male chest, as almost no development on the belly. We briefly discuss our findings in relation to sexual display and predation avoidance. To our knowledge, this is the first analysis of post-metamorphic OCC in ventral colouration in the genus <i>Elachistocleis</i>.
DOI: 10.6084/m9.figshare.11108978
title: Freedom of expression in UK universities

description: The student sample for this research was selected from YouthSight’s Student Panel. Based on HESA statistics, the sample comprises national representation of gender, course year, and university type. The data is weighted on these factors. After fieldwork, the sample collected was checked for quality, and any ‘straight-liners’ were removed from the final total. The total student sample size is <b>2,153 respondents.</b><b><br></b>Fieldwork was carried out between 29th July and 2nd August 2019.<br><br>The survey instrument was developed by reviewing the limited number of studies and surveys on freedom of expression, consultations with colleagues and informed by our own experience. This resulted in the inclusion of seven comparative statements that are routinely used in surveys on freedom of expression in US universities, and a 15-item Moral Foundations Questionnaire, which enables the data to be interrogated by underlying moral profile. The definition of freedom of expression uses the framing adopted by King’s College London, which was developed through extensive consultation with the Students’ Union.<br>