cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7220229
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Lithuania (2021-2022) - Vilnius -AOI 2

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Lithuanian territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over the second AOI located near the capital of Lithuania, (Vilnius). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 24-27/5/2021 <strong>2nd flight:</strong> 26-29/7/2021 <strong>3rd flight:</strong> 13-16/9/2021 <strong>4th flight:</strong> 25-28/8/2022
DOI: 10.5281/zenodo.7220228
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Lithuania (2021-2022) - Vilnius -AOI 2

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Lithuanian territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over the second AOI located near the capital of Lithuania, (Vilnius). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 24-27/5/2021 <strong>2nd flight:</strong> 26-29/7/2021 <strong>3rd flight:</strong> 13-16/9/2021 <strong>4th flight:</strong> 25-28/8/2022
DOI: 10.5281/zenodo.7220129
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Cyprus (2021-2022) - Choirokoitia region

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Cypriotic territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over one of the two determined locations in Cyprus (e.g. Choirokoitia). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 29/3/2021- 1/4/2021 <strong>2nd flight:</strong> 30/8/2021-2/9/2021 <strong>3rd flight:</strong> 29/11/2021-03/12/2021 <strong>4th flight:</strong> 17-20/5/2022
DOI: 10.5281/zenodo.7220128
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Cyprus (2021-2022) - Choirokoitia region

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Cypriotic territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over one of the two determined locations in Cyprus (e.g. Choirokoitia). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 29/3/2021- 1/4/2021 <strong>2nd flight:</strong> 30/8/2021-2/9/2021 <strong>3rd flight:</strong> 29/11/2021-03/12/2021 <strong>4th flight:</strong> 17-20/5/2022
DOI: 10.5281/zenodo.7220013
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Cyprus (2021-2022) - Akaki region

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Cypriotic territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over one of the two determined locations in Cyprus (e.g. Akaki). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 29/3/2021- 1/4/2021 <strong>2nd flight:</strong> 30/8/2021-2/9/2021 <strong>3rd flight:</strong> 29/11/2021-03/12/2021 <strong>4th flight:</strong> 17-20/5/2022
DOI: 10.5281/zenodo.7220012
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Cyprus (2021-2022) - Akaki region

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Cypriotic territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over one of the two determined locations in Cyprus (e.g. Akaki). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 29/3/2021- 1/4/2021 <strong>2nd flight:</strong> 30/8/2021-2/9/2021 <strong>3rd flight:</strong> 29/11/2021-03/12/2021 <strong>4th flight:</strong> 17-20/5/2022
DOI: 10.5281/zenodo.7222092
title: Frontiers in Ecology and Evolution 01 frontiersin.org Why grazing and soil matter for dry grassland diversity: New insights from multigroup structural equation modeling of micro-patterns

description: Grazing is recognized as a major process driving the composition of plant<br> communities in grasslands, mostly due to the heterogeneous removal of<br> plant species and soil compaction that results in a mosaic of small patches<br> called micro-patterns. To date, no study has investigated the differences in<br> composition and functioning among these micro-patterns in grasslands in<br> relation to grazing and soil environmental variables at the micro-local scale.<br> In this study, we ask (1) To what extent are micro-patterns different from each<br> other in terms of species composition, species richness, vegetation volume,<br> evenness, and functioning? and (2) based on multigroup structural equation<br> modeling, are those differences directly or indirectly driven by grazing and soil<br> characteristics? We focused on three micro-patterns of the Mediterranean dry<br> grassland of the Crau area, a protected area traditionally grazed in the South-<br> East of France. From 70 plant community relevés carried out in three micro-<br> patterns located in four sites with different soil and grazing characteristics,<br> we performed univariate, multivariate analyses and applied structural equation<br> modeling for the first time to this type of data. Our results show evidence<br> of clear differences among micro-pattern patches in terms of species<br> composition, vegetation volume, species richness, evenness, and functioning<br> at the micro-local scale. These differences are maintained not only by direct<br> and indirect effects of grazing but also by several soil variables such as fine<br> granulometry. Biological crusts appeared mostly driven by these soil variables,<br> whereas reference and edge communities are mostly the result of different<br> levels of grazing pressure revealing three distinct functioning specific to each<br> micro-pattern, all of them coexisting at the micro-local scale in the studied<br> Mediterranean dry grassland. This first overview of the multiple effects of<br> grazing and soil characteristics on communities in micro-patterns is discussed<br> within the scope of the conservation of dry grasslands plant diversity.
DOI: 10.5281/zenodo.7222091
title: Frontiers in Ecology and Evolution 01 frontiersin.org Why grazing and soil matter for dry grassland diversity: New insights from multigroup structural equation modeling of micro-patterns

description: Grazing is recognized as a major process driving the composition of plant<br> communities in grasslands, mostly due to the heterogeneous removal of<br> plant species and soil compaction that results in a mosaic of small patches<br> called micro-patterns. To date, no study has investigated the differences in<br> composition and functioning among these micro-patterns in grasslands in<br> relation to grazing and soil environmental variables at the micro-local scale.<br> In this study, we ask (1) To what extent are micro-patterns different from each<br> other in terms of species composition, species richness, vegetation volume,<br> evenness, and functioning? and (2) based on multigroup structural equation<br> modeling, are those differences directly or indirectly driven by grazing and soil<br> characteristics? We focused on three micro-patterns of the Mediterranean dry<br> grassland of the Crau area, a protected area traditionally grazed in the South-<br> East of France. From 70 plant community relevés carried out in three micro-<br> patterns located in four sites with different soil and grazing characteristics,<br> we performed univariate, multivariate analyses and applied structural equation<br> modeling for the first time to this type of data. Our results show evidence<br> of clear differences among micro-pattern patches in terms of species<br> composition, vegetation volume, species richness, evenness, and functioning<br> at the micro-local scale. These differences are maintained not only by direct<br> and indirect effects of grazing but also by several soil variables such as fine<br> granulometry. Biological crusts appeared mostly driven by these soil variables,<br> whereas reference and edge communities are mostly the result of different<br> levels of grazing pressure revealing three distinct functioning specific to each<br> micro-pattern, all of them coexisting at the micro-local scale in the studied<br> Mediterranean dry grassland. This first overview of the multiple effects of<br> grazing and soil characteristics on communities in micro-patterns is discussed<br> within the scope of the conservation of dry grasslands plant diversity.
DOI: 10.5281/zenodo.7220174
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Lithuania (2021-2022) - Vilnius -AOI 1, Sub-region 2

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Lithuanian territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over the second subregion of the first AOI located near the capital of Lithuania, (Vilnius). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 24-27/5/2021 <strong>2nd flight:</strong> 26-29/7/2021 <strong>3rd flight:</strong> 13-16/9/2021 <strong>4th flight:</strong> 25-28/8/2022
DOI: 10.5281/zenodo.7220173
title: VHR orthomosaic imageries produced by dedicated drone flight campaigns over Lithuania (2021-2022) - Vilnius -AOI 1, Sub-region 2

description: In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Lithuanian territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated Land Cover/Land Use elements. The dataset is in fact a collection of drone orthomosaic images delivered in GeoTIFF data format, which were acquired from the drone flight missions over the second subregion of the first AOI located near the capital of Lithuania, (Vilnius). For each area, four flight campaigns were scheduled and conducted on the following dates: <strong>1st flight:</strong> 24-27/5/2021 <strong>2nd flight:</strong> 26-29/7/2021 <strong>3rd flight:</strong> 13-16/9/2021 <strong>4th flight:</strong> 25-28/8/2022
DOI: 10.6084/m9.figshare.21354537.v1
title: Metabarcondig of 5 italian caves

description: Raw Amplicon-sequencing data of 5 Italian caves, targeting fungal (ITS), prokaryotic (16S) and eukaryotic (18S) microbial components.
DOI: 10.6084/m9.figshare.21354537
title: Metabarcondig of 5 italian caves

description: Raw Amplicon-sequencing data of 5 Italian caves, targeting fungal (ITS), prokaryotic (16S) and eukaryotic (18S) microbial components.
DOI: 10.6084/m9.figshare.21354537.v2
title: Metabarcondig of 5 italian caves

description: Raw Amplicon-sequencing data of 5 Italian caves, targeting fungal (ITS), prokaryotic (16S) and eukaryotic (18S) microbial components.
DOI: 10.6084/m9.figshare.21357501.v1
title: Supplementary Material – Phylogenetic structure of aquatic plant assemblages in a climate sequence

description: Table S1 – Environmental characterization of the study areas during the sampled period, with average annual temperature (Temp.), average annual insolation (Ins.), average annual rainfall (Rainy), average relative humidity of the air (Humi), reservoir volume (Vol.), and continentality (Cont.). Table S2 – Averages of abiotic variables and ANOVA results for the spatiotemporal dimensions in the studied areas from the Littoral (L), Borborema (B) and Sertão (S) regions of Paraíba (Northeast Brazil) during periods of drought and rainy. Table S3 – Check list of the plants associated with aquatic environments and life forms registered in the studied areas in the state of Paraíba, northeastern Brazil. Table S4 – Predictive models (GLM), which show the influence on the richness and phylogenetic metrics obtained for the assemblages analyzed in the state of Paraíba (Northeast Brazil). Table S5 – Richness, phylogenetic metrics, and ANOVA results for the spatio-temporal dimensions of the study areas in the state of Paraíba (Northeast Brazil). <br> <strong>This Supplementary Material is part of the Original Paper doi: &lt;</strong>10.1590/2175-7860202273092&gt;
DOI: 10.6084/m9.figshare.21357501
title: Supplementary Material – Phylogenetic structure of aquatic plant assemblages in a climate sequence

description: Table S1 – Environmental characterization of the study areas during the sampled period, with average annual temperature (Temp.), average annual insolation (Ins.), average annual rainfall (Rainy), average relative humidity of the air (Humi), reservoir volume (Vol.), and continentality (Cont.). Table S2 – Averages of abiotic variables and ANOVA results for the spatiotemporal dimensions in the studied areas from the Littoral (L), Borborema (B) and Sertão (S) regions of Paraíba (Northeast Brazil) during periods of drought and rainy. Table S3 – Check list of the plants associated with aquatic environments and life forms registered in the studied areas in the state of Paraíba, northeastern Brazil. Table S4 – Predictive models (GLM), which show the influence on the richness and phylogenetic metrics obtained for the assemblages analyzed in the state of Paraíba (Northeast Brazil). Table S5 – Richness, phylogenetic metrics, and ANOVA results for the spatio-temporal dimensions of the study areas in the state of Paraíba (Northeast Brazil). <br> <strong>This Supplementary Material is part of the Original Paper doi: &lt;</strong>10.1590/2175-7860202273092&gt;
DOI: 10.5517/ccdc.csd.cc2ckrk8
title: CCDC 2191810: Experimental Crystal Structure Determination

description: Related Article: Weiyang Li, Cuilian Liu, Joseph Kfoury, Julianna Oláh, Koen Robeyns, Michael L. Singleton, Serhiy Demeshko, Franc Meyer, Yann Garcia|2022|Chem.Commun.|58|11653|doi:10.1039/D2CC04476E
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.cc2cmfp4
title: CCDC 2193426: Experimental Crystal Structure Determination

description: Related Article: Beatriz González-Saiz, Pablo Pertejo, Pablo Peña-Calleja, Marcin Mielczarek, Tomás Hermosilla, Israel Carreira-Barral, Olivia de Miguel, Francisco Rodríguez-Vidal, Roberto Quesada, María García-Valverde|2022|Green Chemistry|24|7988|doi:10.1039/D2GC02896D
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.cc2cmfr6
title: CCDC 2193428: Experimental Crystal Structure Determination

description: Related Article: Beatriz González-Saiz, Pablo Pertejo, Pablo Peña-Calleja, Marcin Mielczarek, Tomás Hermosilla, Israel Carreira-Barral, Olivia de Miguel, Francisco Rodríguez-Vidal, Roberto Quesada, María García-Valverde|2022|Green Chemistry|24|7988|doi:10.1039/D2GC02896D
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.cc2cmfs7
title: CCDC 2193429: Experimental Crystal Structure Determination

description: Related Article: Beatriz González-Saiz, Pablo Pertejo, Pablo Peña-Calleja, Marcin Mielczarek, Tomás Hermosilla, Israel Carreira-Barral, Olivia de Miguel, Francisco Rodríguez-Vidal, Roberto Quesada, María García-Valverde|2022|Green Chemistry|24|7988|doi:10.1039/D2GC02896D
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.cc2cmft8
title: CCDC 2193430: Experimental Crystal Structure Determination

description: Related Article: Beatriz González-Saiz, Pablo Pertejo, Pablo Peña-Calleja, Marcin Mielczarek, Tomás Hermosilla, Israel Carreira-Barral, Olivia de Miguel, Francisco Rodríguez-Vidal, Roberto Quesada, María García-Valverde|2022|Green Chemistry|24|7988|doi:10.1039/D2GC02896D
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.cc2cmfzf
title: CCDC 2193435: Experimental Crystal Structure Determination

description: Related Article: Beatriz González-Saiz, Pablo Pertejo, Pablo Peña-Calleja, Marcin Mielczarek, Tomás Hermosilla, Israel Carreira-Barral, Olivia de Miguel, Francisco Rodríguez-Vidal, Roberto Quesada, María García-Valverde|2022|Green Chemistry|24|7988|doi:10.1039/D2GC02896D
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.cc26w3mv
title: CCDC 2051847: Experimental Crystal Structure Determination

description: Related Article: Jayanta Mandal, Kunal Pal, Sougata Ghosh Chowdhury, Parimal Karmakar, Anangamohan Panja, Snehasis Banerjee, Amrita Saha|2022|Dalton Trans.|51|15555|doi:10.1039/D2DT00399F
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.cc2cqbt8
title: CCDC 2196220: Experimental Crystal Structure Determination

description: Related Article: Chi-Tien Chen, Zi-Ling Lai|2022|RSC Advances|12|28052|doi:10.1039/D2RA05112E
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.