cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5874797
title: Potential and realized distribution at 30m for Common hazel (Corylus avellana) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the common hazel (<em>Corylus avellana, L.</em>) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods: 2000 - 2002, 2002 - 2006, 2006 - 2010, 2010 - 2014, 2014 - 2018, 2018 - 2020. Files are named according to the following naming convention, e.g: veg_corylus.avellana_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>corylus.avellana</strong>, species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation), species estimation method: e.g. <strong>eml</strong>, species estimation type: e.g. <strong>md</strong> ( = model deviation), resolution in meters e.g. <strong>30m</strong>, reference depths (vertical dimension): e.g. <strong>0..0cm</strong>, reference period begin end: e.g. <strong>2000..2002</strong>, reference area: e.g. <strong>eumap</strong>, coordinate system: e.g. <strong>epsg3035</strong>, data set version: e.g. <strong>v0.2</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_corylus.avellana_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_corylus.avellana_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_corylus.avellana_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_corylus.avellana_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format. If you would like to know more about the creation of the maps and the modeling: <strong>watch</strong> the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL) <strong>access </strong>the repository with our R/Python scripts and follow the instructions (GitLab) <strong>access </strong>the repository with the training dataset (Zenodo) A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is under preparation. You can access the preprint on ResearchSquare. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.13145/bacdive130440.20201210.5
title: Actinoplanes siamensis Suriyachadkun et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130441.20201210.5
title: Catellatospora aurea

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130442.20201210.5
title: Dactylosporangium cerinum Liu et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130443.20201210.5
title: Micromonospora zeae Shen et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.5877787
title: Potential and realized distribution at 30m for the European beech (Fagus sylvatica) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the European beech (<em>Fagus sylvatica, Mill.</em>) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods: 2000 - 2002, 2002 - 2006, 2006 - 2010, 2010 - 2014, 2014 - 2018, 2018 - 2020. Files are named according to the following naming convention, e.g: veg_fagus.sylvatica_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>fagus.sylvatica</strong>, species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation), species estimation method: e.g. <strong>eml</strong>, species estimation type: e.g. <strong>md</strong> ( = model deviation), resolution in meters e.g. <strong>30m</strong>, reference depths (vertical dimension): e.g. <strong>0..0cm</strong>, reference period begin end: e.g. <strong>2000..2002</strong>, reference area: e.g. <strong>eumap</strong>, coordinate system: e.g. <strong>epsg3035</strong>, data set version: e.g. <strong>v0.2</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_fagus.sylvatica_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_fagus.sylvatica_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_fagus.sylvatica_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_fagus.sylvatica_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format. If you would like to know more about the creation of the maps and the modeling: <strong>watch</strong> the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL) <strong>access </strong>the repository with our R/Python scripts and follow the instructions (GitLab) <strong>access </strong>the repository with the training dataset (Zenodo) A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is under preparation. You can access the preprint on ResearchSquare. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.13145/bacdive130444.20201210.5
title: Micromonospora taraxaci Zhao et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130445.20201210.5
title: Micromonospora fiedleri (Goodfellow et al. 2013) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130446.20201210.5
title: Plantactinospora veratri Xing et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130447.20201210.5
title: Acinetobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130449.20201210.5
title: Acinetobacter boissieri Álvarez-Pérez et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130450.20201210.5
title: Acinetobacter nectaris Álvarez-Pérez et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.48758/ufz.10591
title: Am Großen Bruch, HySpex VNIR ATCOR, 2018-05-07, 2019-04-23 & TERENO boundaries GPKG

description: 3 different data sets:

(1) Hyperspectral data (atmosphere corrected with ATCOR4) of the TERENO site "Am Großen Bruch" (DE-GsB) acquired on 2018-05-07 and 2019-04-23. Only contains data from the HySpex VNIR sensor (400-1000nm, Pixelsize XY 0.16m x 0.32m, Frameperiod 18000µs, Integrationtime 10000).

(2) Vector data with bounding boxes of the Bode TERENO sites as a geopackage.

(3) Evaluation data set (table) containing subsampled variables derived from the hyperspectral data (vegetation indices), a digital elevation model (DEM) and geophysical variables (electromagnetic induction & gamma ray data) for the research site DE-GsB.


Method:
The data can be used to reproduce results from a vegetation stress detection analysis. Simplex volume maximisation (SiVM), an unsupervised learning method, was used to detect vegetation stress patterns from the high-dimensional hyperspectral data. The resulting classification was evaluated using established vegetation indices, a DEM and different geophysical measurements.

Results:
Statistical evaluation of the resulting stress metric showed a strong correspondence of stress-related vegetation indices and the SiVM-based stress metric. DEM and geophysical variables were irrelevant, in comparison.

Algorithms used for data preprocessing, analysis and visualization can be found at https://git.ufz.de/hermanns/rs_sivm or https://github.com/flossi/rs_sivm.
DOI: 10.11588/data/zw8jl9/m4u0ur
title: readme.txt

description: :unav
DOI: 10.5281/zenodo.5879372
title: Potential and realized distribution at 30m for Olive tree (Olea europaea) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the olive tree (<em>Olea europaea, L.</em>) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods: 2000 - 2002, 2002 - 2006, 2006 - 2010, 2010 - 2014, 2014 - 2018, 2018 - 2020. Files are named according to the following naming convention, e.g: veg_olea.europaea_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>olea.europaea</strong>, species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation), species estimation method: e.g. <strong>eml</strong>, species estimation type: e.g. <strong>md</strong> ( = model deviation), resolution in meters e.g. <strong>30m</strong>, reference depths (vertical dimension): e.g. <strong>0..0cm</strong>, reference period begin end: e.g. <strong>2000..2002</strong>, reference area: e.g. <strong>eumap</strong>, coordinate system: e.g. <strong>epsg3035</strong>, data set version: e.g. <strong>v0.2</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_olea.europaea_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_olea.europaea_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_olea.europaea_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_olea.europaea_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format. If you would like to know more about the creation of the maps and the modeling: <strong>watch</strong> the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL) <strong>access </strong>the repository with our R/Python scripts and follow the instructions (GitLab) <strong>access </strong>the repository with the training dataset (Zenodo) A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is under preparation. You can access the preprint on ResearchSquare. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.13145/bacdive130451.20201210.5
title: Acinetobacter harbinensis Li et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/qrwxeh
title: EELS.zip

description: :unav
DOI: 10.13145/bacdive130452.20201210.5
title: Acinetobacter gandensis Smet et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/lvqeuu
title: ITIC_DIO.zip

description: :unav
DOI: 10.11588/data/zw8jl9/nr56kn
title: ITIC_wo.zip

description: :unav
DOI: 10.13145/bacdive130453.20201210.5
title: Acinetobacter gandensis Smet et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/bymvpy
title: PBDB-T.zip

description: :unav
DOI: 10.13145/bacdive130454.20201210.5
title: Acinetobacter gandensis Smet et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130455.20201210.5
title: Acinetobacter bohemicus Krizova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/6pagia
title: PBDB-T_ITIC_DIO_nonann_Series_02_ZLP.tif

description: :unav
DOI: 10.13145/bacdive130456.20201210.5
title: Enhydrobacter aerosaccus Staley et al. 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/baj7iv
title: PBDB-T_ITIC_DIO_noann_Series_02.tif

description: :unav
DOI: 10.13145/bacdive130457.20201210.5
title: Psychrobacter sanguinis Wirth et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/3xdlv0
title: PBDB-T_ITIC_wo_Add_30nm.tif

description: :unav
DOI: 10.13145/bacdive130458.20201210.5
title: Psychrobacter sanguinis Wirth et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/ixoqox
title: PBDB-T_ITIC_wo_Add_30nm_ZLP.tif

description: :unav
DOI: 10.11588/data/zw8jl9/wxtlrl
title: PBDB-T_ITIC_DIO_30nm_Series_04.tif

description: :unav
DOI: 10.13145/bacdive130459.20201210.5
title: Psychrobacter sanguinis Wirth et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/raujnb
title: PBDB-T_ITIC_DIO_30nm_Series_04_ZLP.tif

description: :unav
DOI: 10.13145/bacdive130460.20201210.5
title: Psychrobacter sanguinis Wirth et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/jpi8lx
title: PBDB-T_ITIC_CN_30nm_Series_03.tif

description: :unav
DOI: 10.13145/bacdive130461.20201210.5
title: Psychrobacter ciconiae Kämpfer et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/okqaun
title: PBDB-T_ITIC_CN_30nm_Series_03_ZLP.tif

description: :unav
DOI: 10.11588/data/zw8jl9/kgk3i1
title: PTB7-Th_ITIC-DM_Series_03_Pre_Coreloss_ZLP.tif

description: :unav
DOI: 10.13145/bacdive130462.20201210.5
title: Paraperlucidibaca wandonensis Yoon et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.48370/ofd/w7j7li
title: Nectria cinnabarina (Tode) Fries, 2917

description: Fungarium Makromycetes
DOI: 10.11588/data/zw8jl9/jpsitr
title: PTB7-Th_ITIC-DM_Series_03_Pre_Coreloss.tif

description: :unav
DOI: 10.13145/bacdive130463.20201210.5
title: Faucicola mancuniensis Humphreys et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/f8flp4
title: Diffraction.zip

description: :unav
DOI: 10.11588/data/zw8jl9/kf3tq6
title: PBDB-T_ITIC_CN_ann_processed.zip

description: :unav
DOI: 10.13145/bacdive130464.20201210.5
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/z6sprv
title: PBDB-T_ITIC_DIO_ann_processed.zip

description: :unav
DOI: 10.13145/bacdive130465.20201210.5
title: Mycobacterium paraense Fusco da Costa et al. 2015 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130466.20201210.5
title: Mycobacterium celeriflavum Shahraki et al. 2015 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/sh4su4
title: PBDB-T_ITIC_DIO_nonann_processed.zip

description: :unav
DOI: 10.13145/bacdive130467.20201210.5
title: Aggregicoccus edonensis Sood et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.5881700
title: Potential and realized distribution at 30m for Norway spruce (Picea abies) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the Norway spruce (<em>Picea abies, </em>L. H. Karst.) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods: 2000 - 2002, 2002 - 2006, 2006 - 2010, 2010 - 2014, 2014 - 2018, 2018 - 2020. Files are named according to the following naming convention, e.g: veg_picea.abies_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>picea.abies</strong>, species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation), species estimation method: e.g. <strong>eml</strong>, species estimation type: e.g. <strong>md</strong> ( = model deviation), resolution in meters e.g. <strong>30m</strong>, reference depths (vertical dimension): e.g. <strong>0..0cm</strong>, reference period begin end: e.g. <strong>2000..2002</strong>, reference area: e.g. <strong>eumap</strong>, coordinate system: e.g. <strong>epsg3035</strong>, data set version: e.g. <strong>v0.2</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_picea.abies_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_picea.abies_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_picea.abies_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_picea.abies_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format. If you would like to know more about the creation of the maps and the modeling: <strong>watch</strong> the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL) <strong>access </strong>the repository with our R/Python scripts and follow the instructions (GitLab) <strong>access </strong>the repository with the training dataset (Zenodo) A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is under preparation. You can access the preprint on ResearchSquare. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.11588/data/zw8jl9/6zrlwp
title: PBDB-T_ITIC_wo_Add_ann_processed.zip

description: :unav
DOI: 10.13145/bacdive130468.20201210.5
title: Cetia pacifica Grosche et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130469.20201210.5
title: Uruburuella testudinis Kuhnert et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.11588/data/zw8jl9/3zsbmb
title: PTB7-Th_ITIC-DM.zip

description: :unav
DOI: 10.11588/data/zw8jl9
title: Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]

description: Research Data associated with the related publication.
DOI: 10.13145/bacdive130470.20201210.5
title: Rivicola pingtungensis Sheu et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130471.20201210.5
title: Crenobacter luteus Dong et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130472.20201210.5
title: Nitrosomonas europaea Winogradsky 1892

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.