cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11113784
title: FAO_global_fad1.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.11114003.v1
title: FAO_global_fad2.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.11114027.v1
title: MZ_0033_002_Neophyllobius_electrus_60x_legII_left_tarsussecondpreparation

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 60X W + DIC
DOI: 10.6084/m9.figshare.11113418
title: FAO_gez21.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.11113445
title: FAO_global_acc.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.11113685.v1
title: FAO_global_dc.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.11113784.v1
title: FAO_global_fad1.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: 10.7910/dvn/rrijhf/fszsfk
title: database.xls

description: :unav
DOI: 10.6084/m9.figshare.11113397
title: FAO_gez20.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.11113418.v1
title: FAO_gez21.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.11113445.v1
title: FAO_global_acc.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.11113355
title: Models for estimating nanoparticle transmission efficiency through an adverse axial electric field

description: An adverse electric field is often encountered or utilized when classifying charged nanoparticles or ions according to their electrical mobility. For instance, the classified charged particles usually have to be transported through an adverse electric field against the aerosol sample flow before exiting the outlet of a differential mobility analyzer (DMA). Recently, we reported the transmission of charged nanoparticles through the DMA adverse axial electric field and its improvements. Herein, the simplified analytical model used in that study and a new simplified numerical model to evaluate particle transmission efficiency through the adverse axial electric field are introduced in detail. In addition to the DMA sample outlet, these models are also tested for the electrical mobility filter (EMF) for segregating charged nanoparticles, especially under the unfavorable conditions when the assumptions for these models are violated. The modeled results are compared to a Monte Carlo method based on single-particle tracking and the experimentally determined transmission efficiencies. For the typical geometries and test conditions of a half-mini DMA sample outlet and the EMF, the mean absolute differences between these models and the Monte Carlo method are less than 1%. However, the accuracy of these models is guaranteed only when their assumptions are satisfied, i.e., when the adverse electric field is longer than 4 times the tube radius so that the field lines are axially parallel and the tube length before the adverse electric field is at least half of the entrance length for the air flow. In addition, the simplified analytical model may deviate from the true transmission efficiency when the adverse electric field is longer than 10% of the entire tube. In such cases that the assumptions for both the simplified analytical model and the simplified numerical model are violated, the Monte Carlo method can be used instead. Copyright © 2019 American Association for Aerosol Research
DOI: 10.6084/m9.figshare.11113397.v1
title: FAO_gez20.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.11113325
title: FAO_gez19.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: 10.7910/dvn/rrijhf/vbzzok
title: loglikelihood_poisson.m

description: :unav
DOI: 10.6084/m9.figshare.11113259
title: FAO_gez18.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.<br>
DOI: 10.6084/m9.figshare.11113259.v1
title: FAO_gez18.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.<br>
DOI: 10.6084/m9.figshare.11113325.v1
title: FAO_gez19.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.11113355.v1
title: Models for estimating nanoparticle transmission efficiency through an adverse axial electric field

description: An adverse electric field is often encountered or utilized when classifying charged nanoparticles or ions according to their electrical mobility. For instance, the classified charged particles usually have to be transported through an adverse electric field against the aerosol sample flow before exiting the outlet of a differential mobility analyzer (DMA). Recently, we reported the transmission of charged nanoparticles through the DMA adverse axial electric field and its improvements. Herein, the simplified analytical model used in that study and a new simplified numerical model to evaluate particle transmission efficiency through the adverse axial electric field are introduced in detail. In addition to the DMA sample outlet, these models are also tested for the electrical mobility filter (EMF) for segregating charged nanoparticles, especially under the unfavorable conditions when the assumptions for these models are violated. The modeled results are compared to a Monte Carlo method based on single-particle tracking and the experimentally determined transmission efficiencies. For the typical geometries and test conditions of a half-mini DMA sample outlet and the EMF, the mean absolute differences between these models and the Monte Carlo method are less than 1%. However, the accuracy of these models is guaranteed only when their assumptions are satisfied, i.e., when the adverse electric field is longer than 4 times the tube radius so that the field lines are axially parallel and the tube length before the adverse electric field is at least half of the entrance length for the air flow. In addition, the simplified analytical model may deviate from the true transmission efficiency when the adverse electric field is longer than 10% of the entire tube. In such cases that the assumptions for both the simplified analytical model and the simplified numerical model are violated, the Monte Carlo method can be used instead. Copyright © 2019 American Association for Aerosol Research
DOI: 10.7910/dvn/rrijhf/usfuuw
title: dose_and_prob_variation_study.m

description: :unav
DOI: 10.6084/m9.figshare.11113163
title: MZ_0032_002_Neophyllobius_electrus_40x_legIV_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: 10.7910/dvn/rrijhf/ebw9mx
title: data.mat

description: :unav
DOI: 10.6084/m9.figshare.11113100
title: FAO_gez17.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.11113037
title: FAO_gez16.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.11113100.v1
title: FAO_gez17.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.11113163.v1
title: MZ_0032_002_Neophyllobius_electrus_40x_legIV_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.11113004
title: FAO_gez14.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.11113022
title: FAO_gez15.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.11112977
title: FAO_gez13.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.11112980
title: Metadata record for: Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks

description: This dataset contains key characteristics about the data described in the Data Descriptor Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>