cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2472gy
title: CCDC 1973009: Experimental Crystal Structure Determination

description: Related Article: Hanna K. Maliszewska, David L. Hughes, María Paz Muñoz|2020|Dalton Trans.|49|4034|doi:10.1039/D0DT00665C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc12z9w7
title: CCDC 1012239: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar Gangwar, Shreyata Dey, Prakasham. A. P, Prasenjit Ghosh|2020|Polyhedron|197|115011|doi:10.1016/j.poly.2020.115011
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc12y359
title: CCDC 1011070: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar Gangwar, Shreyata Dey, Prakasham. A. P, Prasenjit Ghosh|2020|Polyhedron|197|115011|doi:10.1016/j.poly.2020.115011
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc13cqw2
title: CCDC 1024174: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar Gangwar, Shreyata Dey, Prakasham. A. P, Prasenjit Ghosh|2020|Polyhedron|197|115011|doi:10.1016/j.poly.2020.115011
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25yb6p
title: CCDC 2024182: Experimental Crystal Structure Determination

description: Related Article: Juan Miranda-Pizarro, Zhongwen Luo, Juan J. Moreno, Diane A. Dickie, Jesús Campos, and T. Brent Gunnoe|2021|J.Am.Chem.Soc.|143|2509|doi:10.1021/jacs.0c11296
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25yb7q
title: CCDC 2024183: Experimental Crystal Structure Determination

description: Related Article: Juan Miranda-Pizarro, Zhongwen Luo, Juan J. Moreno, Diane A. Dickie, Jesús Campos, and T. Brent Gunnoe|2021|J.Am.Chem.Soc.|143|2509|doi:10.1021/jacs.0c11296
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc22k572
title: CCDC 1923123: Experimental Crystal Structure Determination

description: Related Article: Caroline Marie Gallati, Sina Katharina Goetzfried, Anna Ortmeier, Jessica Sagasser, Klaus Wurst, Martin Hermann, Daniel Baecker, Brigitte Kircher, Ronald Gust|2021|Dalton Trans.|50|4270|doi:10.1039/D0DT03902K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6966847
title: Potential and realized distribution at 30m for Sweet cherry (Prunus avium) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the sweet cherry (<em>Prunus avium, 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_prunus.avium_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>prunus.avium</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>v0.3</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_prunus.avium_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_prunus.avium_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_prunus.avium_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_prunus.avium_<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) <strong>read </strong>the tutorial with executable code on our GitBook A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on PeerJ. 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: 10.5281/zenodo.5885196
title: Potential and realized distribution at 30m for Sweet cherry (Prunus avium) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the sweet cherry (<em>Prunus avium, 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_prunus.avium_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>prunus.avium</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>v0.3</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_prunus.avium_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_prunus.avium_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_prunus.avium_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_prunus.avium_<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) <strong>read </strong>the tutorial with executable code on our GitBook A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on PeerJ. 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: 10.21227/8zmh-fj09
title: The Experimental Results of R2GA

description: This ZIP contains the raw data and corresponding analysis for the related IEEE TII paper
DOI: 10.21227/9nxq-4t62
title: mmWave on a Farm: Channel Modeling for Wireless Agricultural Networks at Broadband Millimeter-Wave Frequency

description:  Millimeter-wave (mmWave) spectrum with wide bandwidth provides a promising solution to enable high throughput in next-generation wireless agricultural networks, characterized by swarms of autonomous ground vehicles, unmanned aerial vehicles (UAVs), and connected agricultural machinery. However, channel models at mmWave frequencies in agricultural environments remain elusive. Moreover, agricultural field channels bear notable distinctions from urban and rural macrocellular network channels due to the dynamic crop growth behavior. In this work, a channel model is developed to characterize the large-scale path loss, coherence bandwidth, and link quality under the effect of various environmental factors based on data collected from extensive field experiments. In particular, the wind effect on signal-to-noise ratio is investigated, and the diffuse scattering of electromagnetic waves due to near-canopy propagation at different crop growth stages. Our analysis results demonstrate that (1) during the growing season, the crop canopy surface acts as a ``new ground'' that creates multipath components that result in a higher path loss exponent, which is correlated with the relative height between the crop canopy surface and the radio, (2) the wind results in a half-power drop (3-dB SNR degradation) for an increase of 4~m/s in gust speed due to beam misalignment and increasing scattering, (3) the channel coherence bandwidth increases as the water content in the crop decreases, and (4) the beam-level spatial consistency observed allows for micro-mobility support for agricultural robotic applications. It is also shown that the impacts of humidity and water vapor on the mmWave channel are insignificant in the absence of rain and irrigation. Such characteristics are fundamental for designing advanced channel estimation and signal processing algorithms in advanced agricultural Internet-of-Things solutions.
DOI: 10.5517/ccdc.csd.cc2c0zw8
title: CCDC 2175700: Experimental Crystal Structure Determination

description: Related Article: Qi Zhang, Chunlin He, Siping Pang|2022|New J.Chem.|46|14324|doi:10.1039/D2NJ02908A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c0zx9
title: CCDC 2175701: Experimental Crystal Structure Determination

description: Related Article: Qi Zhang, Chunlin He, Siping Pang|2022|New J.Chem.|46|14324|doi:10.1039/D2NJ02908A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c101h
title: CCDC 2175705: Experimental Crystal Structure Determination

description: Related Article: Qi Zhang, Chunlin He, Siping Pang|2022|New J.Chem.|46|14324|doi:10.1039/D2NJ02908A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c102j
title: CCDC 2175706: Experimental Crystal Structure Determination

description: Related Article: Qi Zhang, Chunlin He, Siping Pang|2022|New J.Chem.|46|14324|doi:10.1039/D2NJ02908A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c105m
title: CCDC 2175709: Experimental Crystal Structure Determination

description: Related Article: Qi Zhang, Chunlin He, Siping Pang|2022|New J.Chem.|46|14324|doi:10.1039/D2NJ02908A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c1cd6
title: CCDC 2176057: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rizogianni, Dimitrios A. Evangelou, Evangelos K. Andreou, Gerasimos S. Armatas, Manolis J. Manos|2022|Chem.Commun.|58|8862|doi:10.1039/D2CC03090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c1cf7
title: CCDC 2176058: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rizogianni, Dimitrios A. Evangelou, Evangelos K. Andreou, Gerasimos S. Armatas, Manolis J. Manos|2022|Chem.Commun.|58|8862|doi:10.1039/D2CC03090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c1cg8
title: CCDC 2176059: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rizogianni, Dimitrios A. Evangelou, Evangelos K. Andreou, Gerasimos S. Armatas, Manolis J. Manos|2022|Chem.Commun.|58|8862|doi:10.1039/D2CC03090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c1ch9
title: CCDC 2176060: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rizogianni, Dimitrios A. Evangelou, Evangelos K. Andreou, Gerasimos S. Armatas, Manolis J. Manos|2022|Chem.Commun.|58|8862|doi:10.1039/D2CC03090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c1cjb
title: CCDC 2176061: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rizogianni, Dimitrios A. Evangelou, Evangelos K. Andreou, Gerasimos S. Armatas, Manolis J. Manos|2022|Chem.Commun.|58|8862|doi:10.1039/D2CC03090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c1ckc
title: CCDC 2176062: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rizogianni, Dimitrios A. Evangelou, Evangelos K. Andreou, Gerasimos S. Armatas, Manolis J. Manos|2022|Chem.Commun.|58|8862|doi:10.1039/D2CC03090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c1cld
title: CCDC 2176063: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rizogianni, Dimitrios A. Evangelou, Evangelos K. Andreou, Gerasimos S. Armatas, Manolis J. Manos|2022|Chem.Commun.|58|8862|doi:10.1039/D2CC03090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6967119
title: Potential and realized distribution at 30m for Turkey oak (Quercus cerris) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the Turkey oak (<em>Quercus cerris, 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_quercus.cerris_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>quercus.cerris</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>v0.3</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_quercus.cerris_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_quercus.cerris_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_quercus.cerris_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_quercus.cerris_<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) <strong>read </strong>the tutorial with executable code on our GitBook A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on PeerJ. 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).