cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c1sqy
title: CCDC 2176470: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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.cc2c4jvx
title: CCDC 2179109: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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.cc2c7j9g
title: CCDC 2181975: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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.cc2c94rl
title: CCDC 2183539: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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.cc2c97hf
title: CCDC 2183624: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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.cc2ch041
title: CCDC 2189162: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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.cc2ch9qx
title: CCDC 2189459: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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.cc2chn0k
title: CCDC 2189778: Experimental Crystal Structure Determination

description: Related Article: Cary R. Stennett, Joseph Q. Nguyen, Joseph W. Ziller, William J. Evans|2023|Organometallics|42|696|doi:10.1021/acs.organomet.3c00074
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: 10.6084/m9.figshare.22769588
title: Pistacia atlantica chorology

description: Distribution map of <em>Pistacia atlantica</em>. <br> These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br> Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br> Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901 <br> Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.22769666
title: Pistacia lentiscus chorology

description: Distribution map of <em>Pistacia lentiscus</em>. <br> <br> <br> These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br> <br> <br> Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br> <br> <br> Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901 <br> <br> <br> Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.22769678
title: Pistacia terebinthus chorology

description: Distribution map of <em>Pistacia terebinthus</em>. <br> These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901 <br> Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.18716/dch/a.00000010
title: DHd-Abstracts-2019

description: This package contains the repository with all the abstracts presented at the DHd Conference 2019. Additionally, it contains the metadata of all abstracts. All abstracts are published individually: Zenodo community Digital Humanities im deutschsprachigen Raum. The authors are the copyright holders of the abstracts.
DOI: 10.5258/soton/d2204
title: Dataset supporting University of Southampton Doctoral thesis: Investigating ways to improve food safety: ultrasonic salad cleaning

description: Dataset supporting a PhD thesis "Investigating ways to improve food safety: ultrasonic salad cleaning".
DOI: 10.5258/soton/d2605
title: Dataset for thesis: DNA programmable assembly of nanoparticles into three-dimensional superlattices and their optical properties

description: Dataset containing all the data for thesis: DNA programmable assembly of nanoparticles into three-dimensional superlattices and their optical properties
DOI: 10.5281/zenodo.7472667
title: Ensemble Ecological Niche Models, across 2.6, 4.5, and 8.5 RCP scenarios in 2050 and 2100, of 1508 European Species based on Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution

description: Ensemble Ecological Niche Models, across 2.6, 4.5, and 8.5 RCP scenarios in 2050 and 2100, of 1508 European Species based on Ecological Niche Models developed with (i) Artificial Neural Networks, (ii) Maximum Entropy, (iii) Support Vector Machines, and (iv) AquaMaps at 0.5° Resolution. The data report, for each 0.5° cell, how many models (from 0 to 4) overcome a model-specific decision threshold to assess species presence in the cell.
DOI: 10.5281/zenodo.7472666
title: Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species based on Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution

description: Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European marine species based on Ecological Niche Models developed with (i) Artificial Neural Networks, (ii) Maximum Entropy, (iii) Support Vector Machines, and (iv) AquaMaps at 0.5° Resolution. The data report, for each 0.5° cell, how many models (from 0 to 4) overcome a model-specific decision threshold to assess species presence in the cell.
DOI: 10.5281/zenodo.7476708
title: Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species based on Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution

description: Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European marine species based on Ecological Niche Models developed with (i) Artificial Neural Networks, (ii) Maximum Entropy, (iii) Support Vector Machines, and (iv) AquaMaps at 0.5° Resolution. The data report, for each 0.5° cell, how many models (from 0 to 4) overcome a model-specific decision threshold to assess species presence in the cell.
DOI: 10.5281/zenodo.7898942
title: Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species based on Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution

description: Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European marine species based on Ecological Niche Models developed with (i) Artificial Neural Networks, (ii) Maximum Entropy, (iii) Support Vector Machines, and (iv) AquaMaps at 0.5° Resolution. The data report, for each 0.5° cell, how many models (from 0 to 4) overcome a model-specific decision threshold to assess species presence in the cell.
DOI: 10.5281/zenodo.6971278
title: A review of epibiont hydrozoans on Sargassum

description: This database collects the information of hydroid epibionts of <em>Sargassum</em> records worldwide since 1802 to 2020. This database is part of the article titled "A review of epibiont hydrozoans on Sargassum", authored by Cecilia Odette Carral-Murrieta, Antonio C. Marques, Elisa Serviere-Zaragoza, Mariae C. Estrada-González, Amanda F. Cunha, Marina Oliveira Fernandez, Alejandra Mazariegos-Villarreal, Karla León-Cisneros, Juan Manuel López-Vivas, José Agüero, María A. Mendoza-Becerril. <pre> </pre>
DOI: 10.5281/zenodo.6971277
title: A review of epibiont hydrozoans on Sargassum

description: This database collects the information of hydroid epibionts of <em>Sargassum</em> records worldwide since 1802 to 2020. This database is part of the article titled "A review of epibiont hydrozoans on Sargassum", authored by Cecilia Odette Carral-Murrieta, Antonio C. Marques, Elisa Serviere-Zaragoza, Mariae C. Estrada-González, Amanda F. Cunha, Marina Oliveira Fernandez, Alejandra Mazariegos-Villarreal, Karla León-Cisneros, Juan Manuel López-Vivas, José Agüero, María A. Mendoza-Becerril. <pre> </pre>
DOI: 10.5281/zenodo.7899114
title: MESMAR v1: A new regional coupled climate model for downscaling, predictability, and data assimilation studies in the Mediterranean region. Article data

description: Regional coupled and Earth System models are fundamental numerical tools for climate investigations, downscaling of predictions and projections, process-oriented understanding of regional extreme events, and many more applications. Here we introduce a newly developed coupled regional modeling framework for the Mediterranean region, called MESMAR (Mediterranean Earth System model at ISMAR) version 1, which is composed of the WRF atmospheric model, the NEMO oceanic 15 model, and the HD hydrological discharge model, coupled via the OASIS coupler. The model is implemented at moderate resolution (about 1/12° for the ocean and river routing, while twice coarser for the atmosphere) for long-term investigations. The gzipped tarball contains data files contained in the manuscript associated with the MESMARv1 description and submitted to Geoscientific Model Developments: MESMAR v1: A new regional coupled climate model for downscaling, predictability, and data assimilation studies in the Mediterranean region by Andrea Storto, Yassmin Hesham Essa, Vincenzo de Toma, Alessandro Anav, Gianmaria Sannino,<br> Rosalia Santoleri, Chunxue Yang
description: Data generated by MESMARv1 and included in the manuscript MESMAR v1: A new regional coupled climate model for downscaling, predictability, and data assimilation studies in the Mediterranean region Author(s): Andrea Storto et al. ----------------------------------------------- v1 05/MAY/2023 Note: the entire dataset generated in the sensitivity studies is about 84 TB and cannot be shared. It is archived in local storage facilities of CNR-ISMAR, Rome (Italy), and available on-demand. Here, we include only data, timeseries, etc. used within the manuscript, and the scripts to reproduce the figures.
DOI: 10.5258/soton/wp00760
title: Geographic information from Longitudinal Population Studies for INDEPTH and CHAMP sites. Version 1.0.

description: Geographic information from Longitudinal Population Studies for INDEPTH and CHAMP sites. Version 1.0.
DOI: 10.5281/zenodo.7899057
title: Data in experimental stand-alone microgrid

description: In 'Micro Reseau Mafate' project, the PIMENT Laboratory aims to develop microgrid stations in an isolated area called 'Mafate' at Reunion Island. Datasets from the first experimental microgrid at “Roche plate” are shared with the community. https://www.youtube.com/watch?v=dXmV415MmBs
DOI: 10.5281/zenodo.7899056
title: Data in experimental stand-alone microgrid

description: In 'Micro Reseau Mafate' project, the PIMENT Laboratory aims to develop microgrid stations in an isolated area called 'Mafate' at Reunion Island. Datasets from the first experimental microgrid at “Roche plate” are shared with the community. https://www.youtube.com/watch?v=dXmV415MmBs
DOI: 10.5281/zenodo.7292588
title: Sample of seismic waveform data for rfmpy tutorial

description: Sample of seismic waveform data for rfmpy tutorial (https://github.com/kemichai/rfmpy). Sub-set of seismic data from EASI seismic network that are cut around a number of different teleseismic events. The continuous full waveform data from EASI seismic network are available at: the European Integrated Data Archive EIDA; http://www.orfeus-eu.org/data/eida/ with the network code <strong>XT</strong>.
DOI: 10.5281/zenodo.7065028
title: Sample of seismic waveform data for rfmpy tutorial

description: Sample of seismic waveform data for rfmpy tutorial (https://github.com/kemichai/rfmpy). Sub-set of seismic data from EASI seismic network that are cut around a number of different teleseismic events. The continuous full waveform data from EASI seismic network are available at: the European Integrated Data Archive EIDA; http://www.orfeus-eu.org/data/eida/ with the network code <strong>XT</strong>.
DOI: 10.5281/zenodo.7695125
title: European Alps Receiver Function Database

description: This dataset contains the receiver function traces calculated using seismic waveform data from the AlpArray Seismic Network, three other temporary seismic networks, and permanent stations in the broader European Alpine region. We use this dataset to compile a new Moho depth map for the broader European Alps. In particular, we include: all the downloaded seismic waveform data (ZNE components; 120s before and after the theoretical P-wave arrival) prior to RF calculation apart from those from the PACASE seismic network that are under embargo. the radial receiver function traces in .SAC format (RRF.zip). One SAC trace per station and teleseismic earthquake. the transverse (TRF.zip) traces in .SAC format. the receiver function stacks from all the seismic stations plotted versus back-azimuth in .png format (RRF_plots.zip and TRF_plots.zip) moho_depth_picks.csv that contains the moho depth picks information shown in the main article Figure 8a. a CSV file with details of the teleseismic earthquakes. a list of all the seismic stations used here. For details on how to read and process the receiver function traces have a look at the README file of the repository. For more details on this dataset, have a look at our manuscript entitled “Moho depths beneath the European Alps: a homogeneously processed map and receiver functions database” in Earth System Science Data (ESSD) journal and our GitHub repository.
DOI: 10.5281/zenodo.7331683
title: European Alps Receiver Function Database

description: This dataset contains the receiver function traces calculated using seismic waveform data from the AlpArray Seismic Network, three other temporary seismic networks, and permanent stations in the broader European Alpine region. We use this dataset to compile a new Moho depth map for the broader European Alps. In particular, we include: all the downloaded seismic waveform data (ZNE components; 120s before and after the theoretical P-wave arrival) prior to RF calculation apart from those from the PACASE seismic network that are under embargo. the radial receiver function traces in .SAC format (RRF.zip). One SAC trace per station and teleseismic earthquake. the transverse (TRF.zip) traces in .SAC format. the receiver function stacks from all the seismic stations plotted versus back-azimuth in .png format (RRF_plots.zip and TRF_plots.zip) moho_depth_picks.csv that contains the moho depth picks information shown in the main article Figure 8a. a CSV file with details of the teleseismic earthquakes. a list of all the seismic stations used here. For details on how to read and process the receiver function traces have a look at the README file of the repository. For more details on this dataset, have a look at our manuscript entitled “Moho depths beneath the European Alps: a homogeneously processed map and receiver functions database” in Earth System Science Data (ESSD) journal and our GitHub repository.
DOI: 10.34740/kaggle/dsv/5608483
title: YouTube Daily
DOI: 10.5517/ccdc.csd.cc2d1v9m
title: CCDC 2206310: Experimental Crystal Structure Determination

description: Related Article: Jiaqi Yan, Yongzheng Ding, Hanmin Huang|2022|J.Org.Chem.|88|5194|doi:10.1021/acs.joc.2c02170
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.cc2d1vbn
title: CCDC 2206311: Experimental Crystal Structure Determination

description: Related Article: Jiaqi Yan, Yongzheng Ding, Hanmin Huang|2022|J.Org.Chem.|88|5194|doi:10.1021/acs.joc.2c02170
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.